Lean Project Management plugin for Claude Code. v1.2: Multi-perspective review, decisions log, guard commit hook, claude-mem integration. 19 commands, 14 agents, 6 hooks. Linear subagent (50-60% token reduction), smart agent auto-invocation, visual context for pixel-perfect UI.
npx claudepluginhub duongdev/ccpm --plugin ccpmComplete reference for all CCPM slash commands.
**NEVER submit, post, update, or modify ANYTHING to external PM/collaboration systems without EXPLICIT user confirmation.**
Evaluates feature flags for Phase 6 rollout with deterministic rollout control and variant assignment.
Smart git branch management with Linear integration
Cancel active work loop and clean up state
Execute chained CCPM commands with conditional logic
Smart git commit with Linear integration and conventional commits
Smart finalize command - create PR, sync status, complete task (optimized)
Force refresh Figma design cache and update Linear with latest data
Show activity timeline for issues, git, and project
Initialize CCPM in a new project
Reorganizes repository documentation following the CCPM documentation pattern for clean, navigable, and scalable documentation structure.
Intelligent command that creates new tasks, plans existing tasks, or updates plans based on context.
Deep planning - comprehensive research and analysis
Quick planning - minimal research, fast task creation
Add a new project to CCPM configuration
Delete a project from CCPM configuration
List all configured CCPM projects
Set the active project for CCPM commands
Show detailed configuration for a specific project
Update an existing project configuration
Multi-perspective AI-powered code review with Linear integration
Undo recent operations - git commits, Linear updates, file changes
Search Linear issues by query, status, label, or assignee
Show current CCPM project and task status
Smart sync - save progress to Linear with concise updates
Smart verification command - run quality checks and final verification
Autonomous work loop - complete all checklist items iteratively (ralph-wiggum pattern)
Parallel work mode - execute independent tasks simultaneously
Specialized subagents for CCPM operations and development workflows.
**Specialized agent for API design, database operations, and backend implementation**
**Specialized agent for extending CCPM with new commands, agents, skills, and hooks**
**Specialized agent for debugging and troubleshooting Claude Code and CCPM issues**
**Specialized agent for answering questions about Claude Code features, settings, CLI usage, and documentation**
**Specialized agent for automated quality validation on changed files**
**Specialized agent for automated code review and quality assessment**
Specialized agent for centralized Confluence API operations with content-aware caching
**Specialized agent for systematic debugging and issue investigation**
**Specialized agent for React/UI implementation with design system integration**
Specialized agent for centralized Jira API operations with session-level caching
Specialized agent for centralized Linear API operations with session-level caching
Lightweight coordinator for multi-PM system operations with lazy loading
**Expert UI/UX Designer specializing in modern design systems and React-based interfaces.**
Specialized agent for loading and validating CCPM project configuration
Specialized agent for managing active project context in CCPM
Specialized agent for detecting active projects and subprojects in CCPM
**Specialized agent for security vulnerability assessment and remediation**
**Specialized agent for test-driven development workflow orchestration**
Enforces quality verification gates with four-step validation (tests pass, build succeeds, checklist complete, no blockers) before task completion, PR creation, or status updates. Auto-activates when user says "done", "complete", "finished", "ready to merge", or runs /ccpm:verify or /ccpm:done commands. Provides systematic verification workflow that prevents false completion claims and ensures production readiness. Blocks external system writes (Jira, Slack) until evidence collected. Integrates with external-system-safety for confirmation workflow. When verification fails, suggests /ccpm:verify to debug issues systematically.
Systematic debugging with defense-in-depth approach (symptoms → immediate cause → root cause → systemic issues → prevention). Auto-activates when user mentions "error", "failing", "broken", "debug", "bug", "issue" or when /ccpm:verify runs. Uses Observe → Hypothesize → Test → Confirm → Fix → Verify → Document workflow. Updates Linear with findings and automatically logs blockers that require external fixes. Traces root causes instead of patching symptoms. Integrates with ccpm-code-review to verify fixes pass all gates before marking complete. Suggests binary search for intermittent issues and five-whys analysis for complex problems.
Discovers, manages, and troubleshoots MCP servers with three-tier classification (required: Linear/GitHub/Context7, optional: Jira/Confluence/Slack/BitBucket). Auto-activates when user asks "MCP server", "tools available", "Linear not working", "what tools do I have", or when plugin installation fails. Provides automatic server discovery, configuration validation, and health monitoring. Diagnoses connection issues (missing env vars, wrong config, network problems) with specific fix suggestions. Requires setup confirmation for optional PM integrations. Shows rate limit status and recommends optimizations when performance degrades.
Creates custom CCPM skills from request to deployment with proper templates, safety guardrails, and integration patterns. Auto-activates when user mentions "create skill", "custom workflow", "team specific", "extend CCPM", "codify team practice", or "reusable pattern". Guides through purpose definition (what skill does), activation triggers (when it runs), CCPM integration points, and safety rules. Provides three skill templates: Team Workflow (codify practices), Safety Enforcement (add checks), and Integration Skills (custom tools). Creates directory structure, frontmatter metadata, multi-phase instructions, and supporting docs. Tests skill activation before deployment and suggests improvements.
Provides conventional commits guidance and auto-generates commit messages from git changes. Integrates with /ccpm:commit for automated git commits linked to Linear issues. Auto-activates when users ask about committing, creating git commits, or discussing commit message formats.
Discovers and researches authoritative documentation with version-specific, context-aware search. Auto-activates when user asks "find documentation", "API docs", "how to use", "integration guide", "best practices", "design pattern", or when running /ccpm:plan or /ccpm:plan. Fetches latest docs from official sources via Context7 MCP. Uses progressive discovery (overview → API reference → integration → best practices). Prioritizes: Official docs → Framework guides → API references → Community resources. Provides version-specific recommendations and code examples from documentation. Flags important caveats and performance considerations. Surfaces migration guides when upgrading frameworks.
Enforces confirmation workflow for EXTERNAL system writes (Jira, Confluence, BitBucket, Slack) ONLY. NEVER activates for Linear operations (Linear is internal tracking). Auto-activates when detecting potential writes to external PM systems (status updates, page creation, PR posts, notifications). Blocks execution and displays exact content that will be written. Requires explicit "yes" confirmation (rejects "ok", "sure", ambiguous responses). All Linear operations execute automatically without confirmation. Works alongside ccpm-code-review to ensure quality before external broadcasts. Provides audit trail of all confirmed operations. Allows batch operations with granular per-item confirmation when needed.
Guides design-to-code workflow using Figma integration. Helps extract designs, analyze components, and generate implementation specs. Auto-activates when users mention Figma URLs, design implementation, component conversion, or design-to-code workflows. Works with /ccpm:plan, design-approve, design-refine, and /ccpm:figma-refresh commands.
Provides guidance on optimizing CCPM hooks for performance and token efficiency. Auto-activates when developing, debugging, or benchmarking hooks. Includes caching strategies, token budgets, performance benchmarking, and best practices for maintaining sub-5-second hook execution times.
Guides optimal Linear operations usage with caching, performance patterns, and error handling. Auto-activates when implementing CCPM commands that interact with Linear. Prevents usage of non-existent Linear MCP tools.
Guide users through CCPM's streamlined 6-command workflow (plan/work/sync/commit/verify/done). Auto-activates when users ask about starting tasks, committing changes, or completing work. Provides step-by-step guidance for the complete development lifecycle.
Guides intelligent planning strategies with automatic phase detection and complexity assessment. Auto-activates when users mention epic breakdown, feature decomposition, scope estimation, dependency analysis, risk identification, or ask "how do I plan this complex task", "break down this feature", "what's the scope", "estimate effort", "identify dependencies", or "planning strategy". Provides interactive planning mode with 6 planning phases (complexity assessment, scope definition, dependency analysis, risk identification, task breakdown, effort estimation). Works with sequential-thinking for complex decomposition, docs-seeker for research, pm-workflow-guide for command suggestions, and linear-subagent-guide for Linear integration.
Provides intelligent context-aware PM workflow guidance with automatic phase detection. Prioritizes 6 natural workflow commands (plan, work, sync, commit, verify, done) for streamlined project management. Auto-activates when user mentions planning, implementation, verification, spec management, or asks "what command should I use". Detects workflow phase and suggests optimal command path. Provides learning mode for new users. Prevents common mistakes and offers error prevention. Works with pm-workflow state machine (IDEA → PLANNED → IMPLEMENTING → VERIFYING → VERIFIED → COMPLETE).
Automatic project context detection with priority-based resolution (Manual setting → Git remote → Subdirectory pattern → Local path → Custom patterns). Auto-activates at start of every CCPM command to ensure correct project context. Supports monorepos with subdirectory detection using glob patterns and priority weighting. Handles ambiguous detection (multiple matches) by asking user to clarify. Caches detection result for command duration (fast reuse). Provides clear error messages with actionable suggestions when no project detected. Displays project context in command headers (e.g., "📋 Project: My Monorepo › frontend"). Supports auto-detection mode (cd = switch) or manual setting (stable context across sessions). Performance: <100ms for auto-detection, 0ms for manual.
Provides intelligent project setup and management with agent-based architecture to minimize token usage. Auto-activates when user mentions project setup, "add project", "configure project", "monorepo", "subdirectories", "switch project", or "project info". Uses three specialized agents internally: project-detector (detect active), project-config-loader (load settings with validation), project-context-manager (manage active project). Guides through four workflows: Add New Project (setup + templates), Configure Monorepo (pattern matching + subdirectories), Switch Between Projects (auto or manual), View Project Information. Provides templates for common architectures (fullstack-with-jira, fullstack-linear-only, mobile-app, monorepo). Validates configuration and suggests fixes for errors. Handles context-aware error handling with specific fix suggestions.
Structured problem-solving through iterative reasoning with revision and branching capabilities for complex problems. Use when tackling multi-step problems with uncertain scope, design planning, architecture decisions, or systematic decomposition. Auto-activates when user asks about breaking down epics, designing systems, assessing complexity, or performing root-cause analysis. Uses 6-step process: Initial assessment (rough estimate) → Iterative reasoning (learn progressively) → Dynamic scope adjustment (refine as understanding deepens) → Revision mechanism (update when assumptions change) → Branching for alternatives (explore multiple approaches) → Conclusion (synthesize findings). Supports explicit uncertainty acknowledgment within thoughts. Adjusts total thought count dynamically (e.g., "Thought 3/8" when initially estimated 5). Recommends binary search for intermittent issues and five-whys technique for root causes.
Tracks and visualizes CCPM workflow state transitions (IDEA → PLANNED → IMPLEMENTING → VERIFYING → VERIFIED → COMPLETE). Prevents invalid state transitions and suggests appropriate next actions. Auto-activates when users ask about task status, "where am I in the workflow", "what should I do next", or "can I do this now".
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
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
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.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
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 toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin creation and validation.