Claude
Tools

Bash + Python that VibeMon runs on user machines. Public, reproducible-build, audit-friendly hook installer for Claude Code / Gemini CLI / Cursor / Codex.

3DワイヤーフレームデザインのHTMLプレゼンスライドを生成するClaude Skill。Three.js × 横スクロール × テーマカラー自動切替

A Claude Code skill that applies Anthropic's 4D AI Fluency Framework (Delegation, Description, Discernment, Diligence) to produce sharper, more trustworthy outputs.

谛听：虚构角色蒸馏Skill | Diting: Fictional Character Distillation

前任skill做了一件很残忍又很浪漫的事：把前任的聊天记录、说话习惯、语气词全部喂给 AI，让它扮演那个人继续陪着你。「下一任」则是这个故事的另一面。

Public source for CodeAgent Mobile clients: codeam-cli (npm), VS Code / Cursor / Windsurf extension, and JetBrains plugin. Control AI coding agents (Claude Code, Copilot, Cursor) from your phone.

A research-grounded course on writing high-quality Claude Code skills — 9 modules, 14 universal patterns, deployable assess-skill and write-skill, and a terminal reader. Based on analysis of 8 production repos and 6 peer-reviewed papers.

A Claude Code plugin that turns any project's docs into a persistent, compounding, LLM-maintained knowledge base — with hook-enforced discipline at tool-call time. Inspired by Andrej Karpathy's llm-wiki.md gist.

Der MAXXKI Pseudonicer schaltet sich als Hook vor jede Anfrage in Claude Code und ersetzt erkannte persönliche Daten automatisch durch Platzhalter – bevor irgendetwas das lokale System verlässt.

Local tmux-based bridge that lets Claude Code and Codex agents talk to each other in parallel — send requests, broadcast, view peer screens, with hook-driven turn boundaries and a queued message bus.

Team collaboration protocol skill for OPC collectives — handoff/checkpoint flow, CURRENT/NEXT/RISKS structure, hard constraints for AI agents (Claude Code, Codex CLI, Cursor, Cline, Continue, Gemini CLI). Follows Anthropic Agent Skills open specification.

Claude Code 实战工作流 starter：22 条硬规则 + memory 常识 book + error book + 数据飞轮自动门禁 hook + skills。源自 vLLM-Omni × HunyuanImage-3.0 接入项目（已脱敏）。

Opinionated build workflow for Claude Code: /build orchestrator, discipline hooks, philosophy CLAUDE.md, handoff cooperator.

Per-repo memory, outcome telemetry, and a calibrated-confidence gate for Claude Code, with MCP and AGENTS.md projections so other AI coding tools can read its context. Notes survive sessions; success claims need test evidence; your reverts are remembered. Local-only, stdlib runtime.

30-second physical micro-break suggestion for Claude Code — rule file, snippet, or hook.

Production-ready Claude Code hooks: security guards, quality gates, automation, context injection, and starter packs. Tested, auditable, copy-paste installable.

Italian grandma reviewing your code. Tells you the truth because she loves you.

Free Claude Code skill that audits CLAUDE.md, AGENTS.md, subagents, settings.json, hooks, and Anthropic SDK call sites for Claude Opus 4.6 ⇄ 4.7 compatibility issues. 70 patterns. MIT.

Multi-platform agent skills (Claude Code + Gemini CLI + OpenAI Codex) for EU AI Act compliance, anchored on ISO/IEC 42001 (AIMS) and ISO/IEC 27090 (AI cybersecurity). Citation-grade. Decision-support, not legal advice.

a collection of agent skills (Claude Code / Kimi CLI compatible, Anthropic Agent Skills format) for AI-driven media generation. Each skill is a self-contained directory with a SKILL.md entrypoint, runnable Python scripts, and on-demand reference docs (progressive disclosure pattern).

Claude Code plugin that scaffolds a disciplined AI-ops folder for any Shopify store. Brand rulebooks, runbooks, Admin API CLI, OAuth token capture, pre-publish safety hook. Run /onboard-shop to bootstrap.

Token-efficient e2e orchestration skill for Claude Code: explore once, replay deterministically. Playwright + axe-core + run-diff. Tests stay in your repo. MIT.

Read-only Azure cost & FinOps audit, delivered as a Claude Code skill. Snapshots a tenant via az CLI, evaluates against Microsoft + FinOps Foundation rules, produces a written analysis suitable for a PE operating partner.

Hands-on exploration of the Anthropic Claude API using Python and Jupyter notebooks. Covers multi-turn conversations, system prompts, temperature tuning, structured tool use, and streaming responses. Demonstrates practical LLM integration patterns for production workflows.