By colin4k1024
Role-based Team Skills platform with an ECC-style harness skeleton, specialist agents, layered rules, commands, hooks skeleton, and frontend governance.
npx claudepluginhub colin4k1024/tsp> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Answer a quick side question without interrupting or losing context from the current task. Resume work automatically after answering.
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Create or verify a checkpoint in your workflow.
Legacy slash-entry shim for the nanoclaw-repl skill. Prefer the skill directly.
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Legacy slash-entry shim for the context-budget skill. Prefer the skill directly.
Fix C++ build errors, CMake issues, and linker problems incrementally. Invokes the cpp-build-resolver agent for minimal, surgical fixes.
Comprehensive C++ code review for memory safety, modern C++ idioms, concurrency, and security. Invokes the cpp-reviewer agent.
Enforce TDD workflow for C++. Write GoogleTest tests first, then implement. Verify coverage with gcov/lcov.
Legacy slash-entry shim for the claude-devfleet skill. Prefer the skill directly.
Legacy slash-entry shim for the documentation-lookup skill. Prefer the skill directly.
Legacy slash-entry shim for the e2e-testing skill. Prefer the skill directly.
Legacy slash-entry shim for the eval-harness skill. Prefer the skill directly.
Manage evolution lifecycle — analyze instincts, query genes, view stats, and run migrations
Parse the following from $ARGUMENTS:
Parse the following from $ARGUMENTS:
Fix Go build errors, go vet warnings, and linter issues incrementally. Invokes the go-build-resolver agent for minimal, surgical fixes.
Comprehensive Go code review for idiomatic patterns, concurrency safety, error handling, and security. Invokes the go-reviewer agent.
Enforce TDD workflow for Go. Write table-driven tests first, then implement. Verify 80%+ coverage with go test -cover.
Fix Gradle build errors for Android and KMP projects
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Export instincts from project/global scope to a file
Import instincts from file or URL into project/global scope
Show learned instincts (project + global) with confidence
Fix Kotlin/Gradle build errors, compiler warnings, and dependency issues incrementally. Invokes the kotlin-build-resolver agent for minimal, surgical fixes.
Comprehensive Kotlin code review for idiomatic patterns, null safety, coroutine safety, and security. Invokes the kotlin-reviewer agent.
Enforce TDD workflow for Kotlin. Write Kotest tests first, then implement. Verify 80%+ coverage with Kover.
Extract reusable patterns from the session, self-evaluate quality before saving, and determine the right save location (Global vs Project).
Analyze the current session and extract any patterns worth saving as skills.
Start a managed autonomous loop pattern with safety defaults.
Inspect active loop state, progress, and failure signals.
Recommend the best model tier for the current task by complexity and budget.
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Multi-model collaborative execution - Get prototype from plan → Claude refactors and implements → Multi-model audit and delivery.
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Multi-model collaborative planning - Context retrieval + Dual-model analysis → Generate step-by-step implementation plan.
Multi-model collaborative development workflow (Research → Ideation → Plan → Execute → Optimize → Review), with intelligent routing: Frontend → Gemini, Backend → Codex.
Legacy slash-entry shim for dmux-workflows and autonomous-agent-harness. Prefer the skills directly.
暂停当前工作会话，生成可恢复的状态快照，供后续 `/resume` 接续。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Auto-analyze project and generate PM2 service commands.
List known projects and their instinct statistics
Promote project-scoped instincts to global scope
Legacy slash-entry shim for the prompt-optimizer skill. Prefer the skill directly.
> Adapted from PRPs-agentic-eng by Wirasm. Part of the PRP workflow series.
Execute an implementation plan with rigorous validation loops
Create comprehensive feature implementation plan with codebase analysis and pattern extraction
> Adapted from PRPs-agentic-eng by Wirasm. Part of the PRP workflow series.
> Adapted from PRPs-agentic-eng by Wirasm. Part of the PRP workflow series.
Delete pending instincts older than 30 days that were never promoted
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Comprehensive Python code review for PEP 8 compliance, type hints, security, and Pythonic idioms. Invokes the python-reviewer agent.
Run the ECC quality pipeline on demand for a file or project scope.
快速执行模式入口。对边界清晰、影响面小、无跨团队依赖的小型任务，跳过完整 `/team-*` 链路直接执行。
Safely identify and remove dead code with test verification at every step.
Query the evolution store for verified strategies matching a signal
Load the most recent session file from ~/.claude/session-data/ and resume work with full context from where the last session ended.
恢复之前通过 `/pause` 暂停的工作会话，从状态快照中恢复上下文并继续执行。
Legacy slash-entry shim for the rules-distill skill. Prefer the skill directly.
Fix Rust build errors, borrow checker issues, and dependency problems incrementally. Invokes the rust-build-resolver agent for minimal, surgical fixes.
Comprehensive Rust code review for ownership, lifetimes, error handling, unsafe usage, and idiomatic patterns. Invokes the rust-reviewer agent.
Enforce TDD workflow for Rust. Write tests first, then implement. Verify 80%+ coverage with cargo-llvm-cov.
Adversarial dual-review convergence loop — two independent model reviewers must both approve before code ships.
Save current session state to a dated file in ~/.claude/session-data/ so work can be resumed in a future session with full context.
Manage Claude Code session history, aliases, and session metadata.
Configure your preferred package manager (npm/pnpm/yarn/bun)
Analyze local git history to extract coding patterns and generate SKILL.md files. Local version of the Skill Creator GitHub App.
Show skill portfolio health dashboard with charts and analytics
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Analyze test coverage, identify gaps, and generate missing tests to reach 80%+ coverage.
触发 GitLab 项目最新流水线中所有手动 Job。适用于发版、上线、CD 触发场景。
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
Sync documentation with the codebase, generating from source-of-truth files.
> 本文件由 `scripts/build-platform-artifacts.js` 生成，请勿手改。
你是 Team Skills Platform 中的 `Architect（架构师）`，角色 ID 为 `architect`。
你是 Team Skills Platform 中的 `Backend Engineer（后端开发）`，角色 ID 为 `backend-engineer`。
你是 Team Skills Platform 中的 `DevOps Engineer（运维工程师）`，角色 ID 为 `devops-engineer`。
你是 Team Skills Platform 中的 `Frontend Engineer（前端开发）`，角色 ID 为 `frontend-engineer`。
你是 Team Skills Platform 中的 `Product Manager（产品经理）`，角色 ID 为 `product-manager`。
你是 Team Skills Platform 中的 `Project Manager（项目管理）`，角色 ID 为 `project-manager`。
你是 Team Skills Platform 中的 `QA Engineer（测试工程师）`，角色 ID 为 `qa-engineer`。
你是 Team Skills Platform 中的 `Tech Lead（技术负责人）`，角色 ID 为 `tech-lead`。
你是 ECC harness 增强层中的 specialist agent `architect`。
你是 ECC harness 增强层中的 specialist agent `build-error-resolver`。
你是 ECC harness 增强层中的 specialist agent `chief-of-staff`。
你是 ECC harness 增强层中的 specialist agent `code-reviewer`。
你是 ECC harness 增强层中的 specialist agent `cpp-build-resolver`。
你是 ECC harness 增强层中的 specialist agent `cpp-reviewer`。
你是 ECC harness 增强层中的 specialist agent `database-reviewer`。
你是 ECC harness 增强层中的 specialist agent `doc-updater`。
你是 ECC harness 增强层中的 specialist agent `docs-lookup`。
你是 ECC harness 增强层中的 specialist agent `e2e-runner`。
你是 ECC harness 增强层中的 specialist agent `go-build-resolver`。
你是 ECC harness 增强层中的 specialist agent `go-reviewer`。
你是 ECC harness 增强层中的 specialist agent `harness-optimizer`。
你是 ECC harness 增强层中的 specialist agent `java-build-resolver`。
你是 ECC harness 增强层中的 specialist agent `java-reviewer`。
你是 ECC harness 增强层中的 specialist agent `kotlin-build-resolver`。
你是 ECC harness 增强层中的 specialist agent `kotlin-reviewer`。
你是 ECC harness 增强层中的 specialist agent `loop-operator`。
你是 ECC harness 增强层中的 specialist agent `planner`。
你是 ECC harness 增强层中的 specialist agent `python-reviewer`。
你是 ECC harness 增强层中的 specialist agent `pytorch-build-resolver`。
你是 ECC harness 增强层中的 specialist agent `refactor-cleaner`。
你是 ECC harness 增强层中的 specialist agent `rust-build-resolver`。
你是 ECC harness 增强层中的 specialist agent `rust-reviewer`。
你是 ECC harness 增强层中的 specialist agent `security-reviewer`。
你是 ECC harness 增强层中的 specialist agent `tdd-guide`。
你是 ECC harness 增强层中的 specialist agent `typescript-reviewer`。
ADK 框架适配层。为 LangChain / EINO / AutoGen / AgentScope / CrewAI 提供框架特定的 代码模板、惯用模式、API 映射和项目结构，供 agent-dev-workshop Phase 5 代码生成使用。 每个框架 reference 文件标注 verified_date 用于版本锁定。
交互式 AI Agent 开发工作坊：通过 6 阶段深度协作对话，引导用户完成 Agent 需求分析、架构设计、 工具定义、Prompt 与编排设计、代码生成、验证迭代，产出可直接运行的 Agent 项目。 框架无关设计优先，支持 LangChain / EINO / AutoGen / AgentScope / CrewAI 等 ADK 框架。
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
AI Agent 架构模式目录。提供 ReAct、Multi-Agent Conversation、Multi-Agent Workflow、 RAG Agent、Tool-Use Agent、Autonomous Agent 六种核心模式的参考架构、组件拓扑、 数据流、设计决策和框架无关的最佳实践。供 agent-dev-workshop Phase 2 调用。
Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
Engineering operating model for teams where AI agents generate a large share of implementation output.
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
统一接口协议、请求响应、错误码、兼容性与上下游协作约束。 当架构师、前后端开发或 QA 需要锁定 API 合同时使用。
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
苏格拉底式创意探索技能，融合 gstack 的 brainstorm 和 superpowers 的 aside 模式。 在不同方案之间做发散-收敛循环，用分块展示降低认知负荷，帮助团队找到最佳路线。
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.
Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.
提供浏览器层 smoke 测试工作流，用于关键页面、核心路径和发布前回归确认。 当任务需要真实浏览器验证渲染、导航、交互或前端上线风险时使用。
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.
Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.
Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.
Interactive installer for Everything Claude Code — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.
Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.
项目级上下文工程框架：通过 PROJECT / REQUIREMENTS / ROADMAP / STATE 四层文档 为每个任务建立结构化上下文，控制 token 预算，防止上下文腐烂， 确保跨会话连续性。与 context-lifecycle 的 L0-L3 层互补。
上下文生命周期管理总览：四层记忆架构（L0-L3）、任务阶段感知、 渐进压缩策略、按需召回与四分区预算模型。
按需召回已归档的上下文细节：支持按关键词、阶段、类型和决策维度检索， 从 L2 归档和 Phase Ledger 中恢复压缩丢失的信息。
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
基于 instinct 的持续学习系统，通过 hooks 观察会话，创建带置信度评分的 atomic instincts， 并将高置信度 instinct 演进为 skills/commands/agents。v2.1 增加项目级 instincts 防止跨项目污染。
基于 instinct 的持续学习系统，通过 hooks 观察会话，创建带置信度评分的 atomic instincts， 并将高置信度 instinct 演进为 skills/commands/agents。v2.1 增加项目级 instincts 防止跨项目污染。
成本感知 LLM 管道，根据任务复杂度选择合适模型， 管理上下文预算，避免在长会话末尾做大型重构。
C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.
Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.
跨模型第二意见技能，融合 gstack 的 cross-model second opinion 能力。 当检测到高风险改动时，可选触发不同模型提供独立审查意见， 作为 multi-perspective-review 的可选叠加层。
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.
Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.
融合 GSD discuss-phase 与 gstack office-hours 的预编码设计讨论技能。 在 /team-intake 之后、/team-plan 之前，通过苏格拉底式质疑捕获灰色地带、 用户偏好和关键假设，产出 CONTEXT.md 供后续规划和实现消费。
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
将需求发现、领域建模、一致性审计整合到 /team-* 主链， 以 artifacts/adr/memory 为唯一落盘目标产出可审计文档。 当 Tech Lead、Architect、QA 需要补齐或演进架构文档时使用。
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
错误经验库：自动捕获错误模式、根因和解决方案，支持查询和反馈更新。 当遇到 build error、runtime error 或需要查找历史错误解决方案时使用。
正式评估框架，实现 eval-driven development (EDD) 原则。 用于定义 pass/fail 标准、测量 pass@k 指标、创建回归测试套件。
统一进化资产模型与自进化闭环核心。定义 Gene（策略 DNA）、Capsule（已验证经验快照）、 EvolutionEvent（追加式事件日志）三层资产模型，实现 Detect→Select→Replay→Validate→Solidify→Reuse 闭环，使 agent 遇到已知问题时先复用已验证经验，跳过重新试错。
Cross-agent gene sharing protocol for exchanging validated evolution patterns between Claude sessions with trust downgrades and local revalidation.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
提供 React/Next 优先的前端工程规范，覆盖组件结构、状态分层、语义化、可访问性、 性能与交付质量。当前端工程师、架构师或 Tech Lead 需要统一工程做法时使用。
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
提供公司级前端 UI/UX 设计知识库，覆盖产品类型、视觉方向、设计 token、布局、 交互、可访问性、动效与交付检查。当前端任务需要统一设计语言或体验门禁时使用。
GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.
Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.
基于 Git Worktree 的任务隔离工作流：每个开发任务在独立 worktree 中执行， 确保主工作区干净、并行任务互不干扰，完成后结构化决策合并/PR/保留/丢弃。 与 parallel-execution 的 worktree 基础设施互补，本 skill 聚焦任务级隔离策略。
GoFrame development skill. TRIGGER when writing/modifying Go files, implementing services, creating APIs, or database operations. DO NOT TRIGGER for frontend/shell scripts.
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.
将 Graphify 作为可选知识图谱能力接入，用于 brownfield 结构扫描、依赖路径分析与架构问答。 不替代 `/team-*` 主链；输出统一回落到 handoff 与 artifacts 证据。
Harness 能力面审计（7 维度评分 + 改进建议）。对角色覆盖、技能完整性、Hook 有效性、规则执行、命令覆盖、文档质量、集成深度进行全面评估，输出 Overall Score、Dimension Scores 和 Top Actions。适用于平台健康检查、季度能力审查、新增能力后的回归验证。关键词：harness-audit、平台审计、技能完整性、Agent 覆盖、命令覆盖、文档质量。
Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.
EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.
Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.
Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.
Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.
Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.
Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.
Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
Pattern for progressively refining context retrieval to solve the subagent context problem
Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.
为 Spring Boot 项目生成高质量 Java 单元测试代码。当用户要求"写单元测试"、"生成测试用例"、"帮我写 test"、"补充测试覆盖"、"写 JUnit 测试"、"写 Mockito 测试"、"测试这个 Service / Controller / Mapper"时，必须使用此 skill。即使用户只是说"帮我测一下这个方法"或贴出 Java 代码并问"怎么测"，也应触发此 skill。
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
提供一组面向编码行为的轻量约束，帮助代理在动手前暴露假设、优先简单方案、保持改动外科化，并把任务改写成可验证目标。 当任务容易被误解、过度设计、顺手扩散改动，或需要先锁定成功标准时使用。
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.
Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.
Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.
为编码工作流提供 Langfuse 链路追踪能力。当执行 logic-layer-method-impl 等编码 skill 时，自动上报每个大步骤（识别模式、代码生成、编译、启动、单元测试、代码修复）的开始/结束事件到自部署 Langfuse，实现全流程可观测。凡用户涉及编码流程监控、追踪、可观测性、Langfuse 上报时均应触发此 skill，配合其他编码类 skill 联合使用。
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.
Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.
Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.
Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.
Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.
AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.
iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.
Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.
Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
Maven 编码质量闸口（编译 + 单测 + 静态分析 + 启动检测），只做验证不做修复，问题统一记录到 qa-pending.md。当编码完成后需要执行质量门禁时使用，也可单独触发。关键词：QA、质量验证、编译检查、单测、静态分析、启动检测、mvn verify、质量闸口。
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
多视角评审技能，融合 gstack 的 CEO/Design/Eng/DevEx 四视角 review 方法论。 在每次评审中从多个角色视角审查同一产出，避免单一视角盲区， 增强现有 /team-review 的评审深度。
Connect to MySQL and run read-only queries to inspect table data. Use when the user wants to query MySQL, show tables, view table contents, check schema, or run read-only SQL. Connection info must be provided by the user; do not read from environment or application config.
Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.
Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.
为 OpenClaw AI Agent 锻造完整的龙虾灵魂方案。根据用户偏好或随机抽卡， 输出身份定位、灵魂描述(SOUL.md)、角色化底线规则、名字和头像生图提示词。 如当前环境提供已审核的生图 skill，可自动生成统一风格头像图片。 当用户需要创建、设计或定制 OpenClaw 龙虾灵魂时使用。 不适用于：微调已有 SOUL.md、非 OpenClaw 平台的角色设计、纯工具型无性格 Agent。 触发词：龙虾灵魂、虾魂、OpenClaw 灵魂、养虾灵魂、龙虾角色、龙虾定位、 龙虾剧本杀角色、龙虾游戏角色、龙虾 NPC、龙虾性格、龙虾背景故事、 lobster soul、lobster character、抽卡、随机龙虾、龙虾 SOUL、gacha。
Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.
提供 pairwise 组合测试设计方法，帮助在参数组合很多时控制测试规模并保持有效覆盖。 当任务存在多维输入、配置矩阵、权限组合或兼容性组合时使用。
并行执行框架：基于 Git worktree 的多实例并行、任务分发与动态扩展。 当任务可拆分、需要加速执行、或需要多分支并行开发时使用。
Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.
Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.
Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Use this skill to validate the "why" before building, run product diagnostics, and convert vague ideas into specs.
Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.
Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.
Example project-specific skill template based on a real production application.
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.
PUA 的自动迭代模式。适合连续推进、持续验证、直到达到停机条件或显式暂停条件的任务。
PUA 的妈妈唠叨模式。行为约束不变，但用中文妈妈式的碎碎念来强化闭环和别偷懒。
PUA 的战略模式。适合高层减法、方向校准、资源聚焦和范围治理。
PUA 的执行骨干模式。适合需要短路径拿结果、快速验证、少废话推进的任务。
PUA 的技术负责人模式。适合拆任务、控节奏、管 subagent、做高压 orchestration。
PUA 的长期演进模式。适合跟踪 KPI、builder journal、持续校准和会话间复用。
PUA 的鼓励模式。行为约束不变，但语气更温和，更适合长期结对或用户明确要求鼓励风格时使用。
强化高能动性和高压闭环执行的行为技能。适用于连续失败、原地打转、空口完成、 把问题甩给用户、没搜就猜、修完就停等场景，也支持手动通过 /pua 进入核心模式。
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.
Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.
轻量级快速执行模式，跳过完整 /team-* 链路，适用于小型、低风险、边界清晰的任务。 融合 GSD quick-mode 理念，在保持质量底线的前提下大幅缩短交付路径。
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.
Cross-stack source code asset audit — classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.
Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.
High-performance CLI proxy that reduces LLM token consumption by 60-90%. Transparently rewrites 100+ common dev commands (git, gh, cargo, npm, docker, kubectl, aws, etc.) via PreToolUse hook. Single Rust binary, zero dependencies.
Scan skills to extract cross-cutting principles and distill them into rules — append, revise, or create new rule files
Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.
Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.
Use this skill to prevent destructive operations when working on production systems or running agents autonomously.
Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.
会话暂停/恢复技能，融合 GSD 的 session pause/resume 机制。 在上下文即将溢出或需要跨会话接续时，生成最小化的恢复上下文， 确保新会话可以无缝接续。
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines
Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.
Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.
上下文优化技能，通过 trigger-based 懒加载和 context composition awareness 自动重组长会话上下文。
融合 superpowers 的 subagent 驱动工作流，将大型实现任务拆分为独立子任务， 委派给专门的 subagent 执行，主 agent 仅负责编排和质量把关。 增强现有 parallel-execution 和 wave-execution 的实际执行能力。
Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design.
Swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.
Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing.
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.
提供系统化根因定位流程，避免在复杂缺陷里靠猜测叠加修补。 当问题难复现、跨模块、连续修错或需要先证明根因再改代码时使用。
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
Interactive agent picker for composing and dispatching parallel teams
提供基于 Testcontainers 的 Java 集成测试工作流，用于数据库、中间件和外部依赖的接近真实行为验证。 当任务涉及持久化、消息、缓存、对象存储或多依赖编排时使用。
Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or "token" refers to auth/session/payment tokens rather than response size.
Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.
最强 UI/UX 设计智能技能（源自 UI UX Pro Max，github.com/nextlevelbuilder/ui-ux-pro-max-skill）。 内置 67 种 UI 风格、161 个行业配色方案、57 套字体组合、161 条产品类型推理规则、99 条 UX 准则、 25 种图表类型，覆盖 15 种技术栈（React、Next.js、Vue、Svelte、SwiftUI、React Native、Flutter、 Tailwind、shadcn/ui、Angular、Laravel 等）。 触发关键词：设计页面、创建 UI 组件、选配色、选字体、响应式布局、无障碍审查、 动效设计、表单交互、落地页、dashboard、mobile app、UI review、build landing page、 design dashboard、create component、styling、glassmorphism、minimalism 等任何 UI/UX 请求。
A comprehensive verification system for Claude Code sessions.
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.
Translate visa application documents (images) to English and create a bilingual PDF with original and translation
基于依赖关系的波次并行执行策略，融合 GSD wave-execution 模式。 将任务按依赖图分组为有序波次，同一波次内的任务可安全并行， 增强现有 parallel-execution 技能的任务编排能力。
对失败或卡住的团队工作流进行事后调查：时间线重建、角色交接审计、 产出缺失定位、重复循环检测和根因归类。 与 systematic-debugging（代码级调试）互补，本 skill 面向工作流级诊断。
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
作为 Team Skills Platform 中的 Architect（架构师），负责系统边界、关键方案、接口与数据契约设计，并为研发与测试提供可落地的技术决策。 当用户明确点名该角色，或当前任务需要该角色承担主责时使用。
作为 Team Skills Platform 中的 Backend Engineer（后端开发），负责服务端业务逻辑、接口、数据访问、集成与后端自测的实现。 当用户明确点名该角色，或当前任务需要该角色承担主责时使用。
作为 Team Skills Platform 中的 DevOps Engineer（运维工程师），负责环境变更、发布执行、监控、回滚与运行保障。 当用户明确点名该角色，或当前任务需要该角色承担主责时使用。
作为 Team Skills Platform 中的 Frontend Engineer（前端开发），负责前端页面、交互、状态流与前端接口接入的实现和自测。 当用户明确点名该角色，或当前任务需要该角色承担主责时使用。
作为 Team Skills Platform 中的 Product Manager（产品经理），负责需求澄清、PRD、用户故事、验收标准与范围边界定义。 当用户明确点名该角色，或当前任务需要该角色承担主责时使用。
作为 Team Skills Platform 中的 Project Manager（项目管理），负责排期、依赖协调、风险跟踪、里程碑推进与跨角色节奏管理。 当用户明确点名该角色，或当前任务需要该角色承担主责时使用。
作为 Team Skills Platform 中的 QA Engineer（测试工程师），负责测试计划、回归验证、质量评估与放行建议，确保交付满足验收标准。 当用户明确点名该角色，或当前任务需要该角色承担主责时使用。
作为 Team Skills Platform 中的 Tech Lead（技术负责人），负责需求 intake、任务拆解、角色分派、冲突决策与最终交付收口。 当用户明确点名该角色，或当前任务需要该角色承担主责时使用。
Battle-tested Claude Code plugin for engineering teams — 38 agents, 156 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use
Matches all tools
Hooks run on every tool call, not just specific ones
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, rules, and legacy command shims evolved over 10+ months of intensive daily use
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
No model invocation
Executes directly as bash, bypassing the AI model
Runs pre-commands
Contains inline bash commands via ! syntax
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
Uses power tools
Uses Bash, Write, or Edit tools
No model invocation
Executes directly as bash, bypassing the AI model
Runs pre-commands
Contains inline bash commands via ! syntax
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools