superpowers
claudecodexCore skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Easily create hooks to prevent unwanted behaviors by analyzing conversation patterns
Plugin hookify from marketplace cobi-claude-marketplace in cobibean/cobi-claude-marketplace. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
Writing Hookify RulesThis skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.
/hookify:configureEnable or disable hookify rules interactively
/hookify:helpGet help with the hookify plugin
/hookify:hookifyCreate hooks to prevent unwanted behaviors from conversation analysis or explicit instructions
/hookify:listList all configured hookify rules
conversation-analyzerUse this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Examples: <example>Context: User is running /hookify command without arguments\nuser: "/hookify"\nassistant: "I'll analyze the conversation to find behaviors you want to prevent"\n<commentary>The /h
python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py
python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py
python3 ${CLAUDE_PLUGIN_ROOT}/hooks/stop.py
python3 ${CLAUDE_PLUGIN_ROOT}/hooks/userpromptsubmit.py
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Comprehensive toolkit for developing Claude Code plugins with 7 specialized skills and guided workflow
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1 command · 6 agents
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1 command · 3 agents
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Claude Agent SDK Development Plugin
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Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.
1 skill · 1 command · 1 agent
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4 skills · 5 commands
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22 skills
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3 skills
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