code-analyze
claudecodexRecord and update project documentation in a readable state for both humans and AI.
6 skills
A Claude Code skill plugin for posting messages and files to Chatwork.
Plugin post-chatwork from marketplace hidao80-plugins in hidao80/ai-agent-plugins. Commands read from the repo's manifest — 1 month ago.
code-analyzeRecord and update project documentation in a readable state for both humans and AI.
commit-msgPropose concise commit messages.
modernize-repoModernize your repository with Docker, CI/CD, and README updates for JavaScript, Python and PHP.
post-chatworkPost a message or file to a Chatwork room. Use when Claude needs to notify the user via Chatwork during a chat session or routine execution.
sbi-feedbackProvide structured positive feedback for work reports using the SBI (Situation, Behavior, Impact) feedback framework.
security-auditChecks the security of a repository. Use when investigating external communications, data storage, third-party libraries, or security risks. Use cases: security audits, vulnerability checks, privacy verification, or investigating external communications.
Record and update project documentation in a readable state for both humans and AI.
6 skills
Propose concise commit messages.
6 skills
Modernize your repository with Docker, CI/CD, and README updates for JavaScript, Python and PHP.
6 skills
Provide structured positive feedback for work reports using the SBI (Situation, Behavior, Impact) feedback framework.
6 skills
Checks the security of a repository. Use when investigating external communications, data storage, third-party libraries, or security risks. Use cases: security audits, vulnerability checks, privacy verification, or investigating external communications.
6 skills
Localhost web chat for testing the channel notification flow. No tokens, no access control, no third-party service.
1 MCP server
Code cleanup, refactoring automation, and technical debt management with context restoration
3 commands · 2 agents
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
PM utility skills: resume review, NDA drafting, privacy policy generation, and grammar/flow checking. Essential tools for product managers beyond core product work.
4 skills · 5 commands
Content generation, AI backends, and utility tools for daily work efficiency
22 skills
Official GSAP skills for Cursor, Claude and other AI agents, covering tweens, timelines, ScrollTrigger, plugins, utilities, React hooks, and performance optimization
8 skills
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.