By alphaleonis
Planning skills for PRDs, implementation plans, and phase breakdowns
Break a plan phase (epic) into implementable features with acceptance criteria. Use when user wants to decompose a phase before starting implementation, break an epic into features, or detail a vertical slice into work items.
Close a completed phase or plan by reconciling planned vs. actual, recording deviations and decisions, updating the parent work item, and creating follow-ups for deferred work. Use after finishing a phase or plan to prevent silent drift.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Turn a PRD into a multi-phase implementation plan using tracer-bullet vertical slices, then create work items (GitHub Issues, Azure DevOps, Beans) or save as a local Markdown file. Use when user wants to break down a PRD, create an implementation plan, plan phases from a PRD, or mentions "tracer bullets".
Explore an unfamiliar problem space through multi-phase parallel research with synthesis. Use before writing a PRD when the domain, technology, or trade-offs are not well understood. Produces a structured research document.
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Personalized Claude Code plugins with specialized agents, skills, and conventions for development and code review.
Originally forked from everything-claude-code. You probably want that one rather than this one that has been tailored to my own personal workflow.
This repo provides four plugins that can be installed independently:
| Plugin | Description |
|---|---|
decaf | General-purpose agents and skills (analysis, development) |
decaf-review | Multi-agent code review, coverage analysis, and refactoring |
decaf-planning | Planning skills for PRDs, implementation plans, and phase breakdowns |
decaf-memory | Memory skills backed by erinra (hybrid semantic search, knowledge graphs) |
decaf-experimental | Experimental skills being tested before promotion to core |
# Add as a marketplace
/plugin marketplace add alphaleonis/decaf-claude-config
# Install plugins
/plugin install decaf-claude-config@decaf
/plugin install decaf-claude-config@decaf-review
/plugin install decaf-claude-config@decaf-planning
/plugin install decaf-claude-config@decaf-memory
/plugin install decaf-claude-config@decaf-experimental
Or install from a local clone:
cd /path/to/decaf-claude-config
/plugin marketplace add ./
/plugin install decaf-claude-config@decaf
/plugin install decaf-claude-config@decaf-review
/plugin install decaf-claude-config@decaf-planning
/plugin install decaf-claude-config@decaf-memory
/plugin install decaf-claude-config@decaf-experimental
Memory skills require the erinra MCP server. See the erinra repo for installation options.
# Install erinra — see https://github.com/alphaleonis/erinra-mcp#installation
# Register the MCP server
claude mcp add erinra -- erinra serve -s user
# Install the plugin
/plugin install decaf-claude-config@decaf-memory
decaf-claude-config/
├── .claude-plugin/ # Marketplace manifest
├── conventions/ # Shared convention files (@file references)
├── decaf/ # Core plugin
│ ├── .claude-plugin/plugin.json
│ ├── agents/ # 6 agents
│ └── skills/ # 5 skills
├── decaf-review/ # Review plugin
│ ├── .claude-plugin/plugin.json
│ ├── agents/ # 10 agents
│ └── skills/ # 6 skills
├── decaf-planning/ # Planning plugin
│ ├── .claude-plugin/plugin.json
│ └── skills/ # 6 skills
├── decaf-memory/ # Memory plugin (erinra)
│ ├── .claude-plugin/plugin.json
│ └── skills/ # 4 skills
├── decaf-experimental/ # Experimental plugin
│ ├── .claude-plugin/plugin.json
│ └── skills/ # 4 skills
├── CLAUDE.md
└── README.md
decaf — Core SkillsSkills are invoked as /decaf:<skill-name>.
| Skill | Description |
|---|---|
decision-critic | Stress-test decisions through adversarial analysis |
incoherence-detector | Detect doc/code/spec inconsistencies |
note | Capture a follow-up task as a bean without interrupting current work |
powershell-expert | PowerShell development patterns |
problem-analysis | Root cause investigation |
decaf — Core AgentsAgents are referenced via the Task tool as decaf:<agent-name>.
| Agent | Purpose |
|---|---|
architect | Feature architecture design |
csharp-developer | C# implementation with idiomatic patterns |
go-developer | Go implementation with idiomatic patterns |
debugger | Systematic debugging with evidence gathering |
planner | Implementation planning |
technical-writer | LLM-optimized documentation |
decaf-review — Review SkillsSkills are invoked as /decaf-review:<skill-name>.
| Skill | Description |
|---|---|
code-review | Parallel multi-agent code review with consolidation |
coverage-review | Run code coverage analysis and review gaps for severity |
refactor | Analyze code for structural improvement opportunities and produce a prioritized plan |
handle-cr | Walk through code review findings interactively |
handle-coverage | Walk through coverage gaps interactively, writing tests |
handle-refactoring | Walk through refactoring opportunities interactively |
decaf-review — Review AgentsAgents are referenced via the Task tool as decaf-review:<agent-name>.
npx claudepluginhub alphaleonis/decaf-claude-config --plugin decaf-planningMemory skills backed by erinra memory MCP server
Multi-agent code review and coverage analysis for Claude Code
General-purpose agents and skills for Claude Code
'MUST BE USED PROACTIVELY when user mentions: planning, PRD, product requirements document, project plan, roadmap, specification, requirements analysis, feature breakdown, technical spec, project estimation, milestone planning, or task decomposition. Use IMMEDIATELY when user says "create a PRD", "plan this feature", "document requirements", "break down this project", "estimate this work", "create a roadmap", "write specifications", or references planning/documentation needs. Expert Technical Project Manager that creates comprehensive PRDs with user stories, acceptance criteria, technical architecture, task breakdowns, and separate task assignment files for sub-agent delegation.'
AI-assisted deep planning with research, interview, external LLM review, and TDD approach
Structured implementation planning, interactive annotation review, and autonomous plan execution
Structured planning with risk assessment and time estimation
Codex, Gemini, Claude の3つの AI で Plan ファイルを並列レビュー。実装計画の妥当性、抜け漏れ、リスクを分析する
Editorial "Web Designer" bundle for Claude Code from Antigravity Awesome Skills.