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Found 4,458 Skills
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
Create new agents in Paperclip with governance-aware hiring. Use when you need to inspect adapter configuration options, compare existing agent configs, draft a new agent prompt/config, and submit a hire request.
Use this skill when auditing AI agent skills for security vulnerabilities, prompt injection, permission abuse, supply chain risks, or structural quality. Triggers on skill review, security audit, skill safety check, prompt injection detection, skill trust verification, skill quality gate, and any task requiring security analysis of AI agent skill files.
RED-GREEN-REFACTOR testing for agents: dispatch subagents with known inputs, capture verbatim outputs, verify against expectations. Use when creating, modifying, or validating agents and skills. Use for "test agent", "validate agent", "verify agent works", or pre-deployment checks. Do NOT use for feature requests, simple prompt edits without behavioral impact, or agents with no structured output to verify.
After installing the full k-skill bundle, configure and verify the shared cross-platform setup with sops plus age, then optionally wire update checks and GitHub starring with explicit user consent.
Use DingTalk Workspace CLI (dws) to manage DingTalk contacts, calendar, todos, attendance, approvals, and more from the command line or AI agent workflows.
Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu, Telegram, Slack, Discord, DingTalk, WeChat Work, LINE) without a public IP.
Sharpen, refine, and optimize AI agent skills through real usage — learn from mistakes, review quality, and improve over time. Observes skill execution in the current conversation, analyzes three sources (conversation history, file diffs, user feedback), and proposes concrete improvements to the target skill's SKILL.md. Works with Claude Code and any SKILL.md-based agent framework. Use after executing any skill: `/skill-sharpen [name]` for a specific skill, or `/skill-sharpen` to auto-detect the last used. Three modes: interactive (propose one by one), observe-only (dump to LESSONS.md), review (process pending lessons).
Deploys agent skill collections from any GitHub repository with a /skills folder to one or more distribution surfaces: GitHub releases, Claude Code marketplace, VS Code plugin marketplace, and Copilot CLI plugin marketplace. Handles pre-flight validation, conventional commit analysis, version bumping across surface configs, and surface-specific publishing with dry-run support. Use when releasing, publishing, or deploying a skills collection to any supported marketplace or creating a GitHub release for a skills repository. Don't use for deploying non-skill packages, npm modules, Docker images, or Azure resources.
Overview The Google Maps Agent transforms geographical and local business data into structured, actionable intelligence. It allows users to extract data from Google Maps to audit local markets, monito
Guide la création d'un nouveau skill d'agent IA pour le dépôt foundation-skills. Génère le squelette du SKILL.md et du fichier docs, applique les conventions du dépôt (frontmatter, versionnage, structure). À utiliser quand l'utilisateur demande de créer un nouveau skill, écrire un skill, ajouter un skill ou générer le squelette d'un skill.
Create, optimize, and maintain AGENTS.md and CLAUDE.md files using progressive disclosure. Use when: User wants to create AGENTS.md/CLAUDE.md, optimize existing AI documentation, implement progressive disclosure, detect project structure (monorepo/polyrepo), or prevent documentation bloat. Triggers on: "create agents.md", "update AGENTS.md", "AI documentation", "project context", "monorepo documentation", "progressive disclosure", "Claude Code context", or when AI repeatedly asks the same questions about the project.