By grixu
Analyze conversation for friction signals (corrections, repeated instructions, deviations) and interactively update project documentation (.claude/rules/, CLAUDE.md) with verified learnings. Coordinates with Claude Code's auto memory to avoid duplication.
A Claude Code plugin marketplace with productivity tools.
Add the marketplace:
/plugin marketplace add grixu/cc-toolkit
Then install individual plugins:
/plugin install <plugin-name>@cc-toolkit
Automatic plan review via OpenAI Codex CLI. Intercepts ExitPlanMode and sends plans through iterative Codex review (up to 5 rounds) before presenting to the user.
Requires: OpenAI Codex CLI, jq
/plugin install codex-plan-improver@cc-toolkit
See plugin README for details.
End-to-end feature delivery workflow — from requirements gathering through implementation orchestration with parallel subagents.
| Command | Description |
|---|---|
/start [description] | Begin requirements gathering (6-phase process) |
/current [id|--all] | Requirements dashboard — status, progress, actions |
/edit [id] | Edit spec with full re-analysis and versioning |
/implement [id] | Implementation orchestrator with parallel agents and quality gates |
/plugin install feature-delivery@cc-toolkit
See plugin README for details.
Create custom hooks to prevent unwanted behaviors using simple markdown rule files with regex pattern matching. No coding required — just describe the behavior to block or warn about.
| Command | Description |
|---|---|
/hookify [instruction] | Create a rule from instructions or analyze conversation for issues |
/hookify:list | List all configured rules |
/hookify:configure | Enable/disable rules interactively |
/plugin install hookify@cc-toolkit
See plugin README for details.
Business name discovery — generates candidates across 6 naming archetypes, filters them with a challenger sub-agent (5-dimension scoring), then checks domain availability via bundled Instant Domain Search MCP.
| Trigger | Description |
|---|---|
| "help me name my business" | Start a guided naming session |
| "business name ideas for..." | Generate, score, and check domains |
/namesmith [description] | Direct invocation with business description |
/plugin install namesmith@cc-toolkit
See plugin README for details.
Analyze a conversation for friction signals (corrections, repeated instructions, deviations) and interactively update project documentation with verified learnings.
| Trigger | Description |
|---|---|
| "learn from this session" | Analyze conversation and propose doc updates |
| "what did you learn today" | Review friction signals from current session |
/plugin install session-learner@cc-toolkit
See plugin README for details.
MIT
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npx claudepluginhub grixu/cc-toolkit --plugin session-learnerIntercepts ExitPlanMode to automatically review implementation plans via OpenAI Codex CLI. Includes /codex-review command for manual invocation.
Easily create hooks to prevent unwanted behaviors by analyzing conversation patterns
End-to-end feature delivery: requirements gathering, editing, status tracking, and implementation orchestration with parallel subagents
Business name discovery: generates candidates, challenges them with a sub-agent, then checks domain availability via Instant Domain Search MCP.
An agile retrospective skill for your Claude collaboration sessions. Capture what you learned. Apply the fix. Make the next session better.
Analyze Claude Code agent session transcripts to identify inefficiencies, anti-patterns, repeated mistakes, missing tooling opportunities, and user frustration signals for continuous improvement
Analyzes session transcripts and improves project documentation (CLAUDE.md, README, memory) based on learnings
Self-learning system for Claude Code that captures corrections and updates CLAUDE.md automatically
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls