rpi
claudeFeature development workflow: arch → plan → implement → review → fix
3 skills · 9 commands · 6 agents · hooks
Interactive learning commands to help users understand code deeply
Plugin learn from marketplace crouton-kit in crouton-labs/crouton-kit. Commands read from the repo's manifest — 1 month ago.
/learn:briefGet a visual briefing on current project state, progress, and next steps
/learn:mapMap out code structure, flows, or architecture at any granularity
/learn:understandSocratic deep-dive on code — quiz, trace, and probe understanding
Problems found in this repo's manifests
Feature development workflow: arch → plan → implement → review → fix
3 skills · 9 commands · 6 agents · hooks
Guides for authoring Claude Code artifacts — CLAUDE.md, hooks, rules, skills, commands, and scripts
16 skills
Core development agents and code quality hooks
3 skills · 8 commands · 2 agents · hooks
Manage parallel project instances — plant, adopt, uproot, and monitor isolated copies
1 skill · 9 commands · hooks
Create configurable hooks from markdown rule files
1 skill · 5 commands · hooks
Bridge Claude Code to the crtr CLI with routing-only slash commands
6 commands
Interactive self-referential AI loops for iterative development. Claude works on the same task repeatedly, seeing its previous work, until completion.
3 commands · hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
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