By citadelgrad
Core development tools with 2 commands, 8 AI agents, 14 skills, 3 hooks, and 3 templates for productive modern web development
Expert debugger for APIs, Python backends, and JavaScript/TypeScript frontends with integrated browser testing via Playwright MCP
Design reliable backend systems with focus on data integrity, security, and fault tolerance
Specialist for comprehensive research with adaptive strategies and intelligent exploration
Analyze codebases, documents, or systems to identify instances of Emergence—behaviors, properties, or functions that arise from component interaction rather than being explicitly hard-coded.
Create accessible, performant user interfaces with focus on user experience and modern frameworks
Generate acceptance criteria for a user story or feature. Produces testable, specific criteria in Gherkin (Given/When/Then), checklist, or rules-based format with a completeness check. Use when writing or reviewing AC for any story, ticket, or feature spec.
Generate C4 architecture diagrams using standard Mermaid flowchart syntax. Covers Context, Container, and Component levels with short labels, companion legend tables, and sequence diagrams for runtime behavior.
Design or audit CLI tools for agent compatibility. Covers stdout/stderr separation, --json flag, exit codes, NDJSON streaming, TOON format, composability, and idempotency. Use when building a new CLI or reviewing an existing one for LLM/agent use.
Audit and rewrite AGENTS.md, CLAUDE.md, and other AI agent context files to be minimal and effective. This skill should be used when creating, reviewing, or rewriting context files (AGENTS.md, CLAUDE.md, .cursorrules, etc.) to follow research-backed guidelines that improve agent performance and reduce costs. Based on findings from arxiv.org/abs/2602.11988.
Retrieve up-to-date documentation for software libraries, frameworks, and components via the Context7 API. This skill should be used when looking up documentation for any programming library or framework, finding code examples for specific APIs or features, verifying correct usage of library functions, or obtaining current information about library APIs that may have changed since training.
Matches all tools
Hooks run on every tool call, not just specific ones
Uses power tools
Uses Bash, Write, or Edit tools
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Modular Claude Code plugin suite for productive development. The core plugin provides 2 slash commands, 8 specialized AI agents, 13 skills, 3 hooks, and 3 project templates. Specialized sub-plugins add beads epic workflows, browser automation, mutation testing, and more.
/plugin marketplace add citadelgrad/scott-cc
| Type | Count | Names |
|---|---|---|
| Commands | 2 | gha, security-cheatsheet |
| Agents | 8 | api-debugger, backend-architect, deep-research-agent, find-emergent-behavior, frontend-architect, refactoring-expert, requirements-analyst, system-architect |
| Skills | 13 | init, cli-design, python-simplifier, typescript-simplifier, karpathy-guidelines, property-based-testing, context7, context-file-optimizer, c4-diagram, writing-about-engineering, writing-skills-excellence, pas-pipeline, reck-factory |
| Hooks | 3 | terminal-bell (Stop), toon-post-hook (PostToolUse), prefer-modern-tools (PreToolUse) |
| Templates | 3 | .pre-commit-config.yaml, CLAUDE.md, AGENTS.md |
| Sub-plugins | 6 | beads-epic-builder, browser-automation, research-tools, security-suite, performance-optimization, mutation-testing |
| Command | Description |
|---|---|
/scott-cc:gha | Debug failing GitHub Actions runs and audit workflow YAML. Fetches logs via gh CLI, analyzes errors, suggests fixes. |
/scott-cc:security-cheatsheet | Look up OWASP security cheatsheets by topic. Comprehensive security reference for common vulnerabilities and mitigations. |
| Agent | Description |
|---|---|
backend-architect | Design reliable backend systems with focus on data integrity, security, and fault tolerance. |
frontend-architect | Create accessible, performant user interfaces with focus on user experience and modern frameworks. |
system-architect | Design scalable system architecture with focus on maintainability and long-term technical decisions. |
| Agent | Description |
|---|---|
deep-research-agent | Specialist for comprehensive research with adaptive strategies and intelligent exploration. |
requirements-analyst | Transform ambiguous project ideas into concrete specifications through systematic requirements discovery and structured analysis. |
find-emergent-behavior | Analyze codebases, documents, or systems to identify instances of emergence — behaviors, properties, or functions that arise from component interaction rather than being explicitly hard-coded. |
| Agent | Description |
|---|---|
api-debugger | Expert debugger for APIs, Python backends, and JavaScript/TypeScript frontends with integrated browser testing via Playwright MCP. |
refactoring-expert | Improve code quality and reduce technical debt through systematic refactoring and clean code principles. |
| Skill | Description |
|---|---|
init | Interactive project scaffolding. Detects what already exists, presents a menu, and sets up only what you select: beads (bd init), CLAUDE.md, AGENTS.md symlink, .envrc, Makefile, and pre-commit hooks. |
| Skill | Description |
|---|---|
python-simplifier | Simplifies and refines Python code for clarity, consistency, and maintainability. Applies KISS principles, Pythonic patterns, and framework best practices. Use when reviewing or refactoring Python code. |
typescript-simplifier | Simplifies and refines TypeScript/JavaScript code for clarity, consistency, and maintainability. Applies KISS principles, modern ES features, and framework best practices. Use when reviewing or refactoring TS/JS code. |
cli-design | Design patterns and conventions for building agent-compatible CLI tools. Covers flag design, output formatting, exit codes, and composability with AI-driven workflows. |
karpathy-guidelines | Behavioral guidelines to reduce common LLM coding mistakes. Helps avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. |
property-based-testing | Use when implementing serialization/parsing, data transformations, algorithms with mathematical properties, API contracts, or state machines where testing all edge cases is impractical. Describe invariants instead of specific input/output pairs. |
npx claudepluginhub citadelgrad/scott-cc --plugin scott-ccSecurity-focused development with security advisory and vulnerability scanning agents
Comprehensive mutation testing for identifying zombie tests and improving test quality through automated code mutation analysis and parallel test execution
Performance engineering and optimization with bottleneck analysis and performance profiling
Deep research, learning, and technical writing tools with AI writing pattern detection
Plan, build, and swarm beads epics - sequential and parallel epic execution with CE code review (2 agents, 3 commands)
AI-powered development workflow automation - Phase-based planning, implementation orchestration, preflight code quality checks with security scanning, ship-it workflow, and development principles generator for CLAUDE.md
Essential development commands for coding, debugging, testing, optimization, and documentation
Verification-first engineering toolkit for Claude Code. 15 skills across a 5-phase spine (Investigate → Design → Implement → Verify → Ship), 8 specialist agents, an interactive setup wizard. Every skill has rationalizations + evidence requirements. Built for senior ICs and tech leads.
Disciplined agentic development — auto-routing orchestrator with XML specs, atomic commits, multi-stage review, and plugin system
Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 30 hook scripts across 19 events, auto-learning pipeline, hook profiles, and multi-language coding standards
PROJECT.md-first autonomous development with hybrid auto-fix documentation. 8-agent pipeline, auto-orchestration, docs auto-update on commit (true vibe coding). Knowledge base system with 90% faster repeat research. Strict mode enforces SDLC best practices automatically. Works for ANY Python/JavaScript/TypeScript/Go project.