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Automate creation of new CLI skills following Anthropic standards with zero manual setup. \n \n Guides users through interactive brainstorming, prompt refinement, file generation, validation, and installation in five phases with visual progress tracking \n Generates standardized SKILL.md and README.md files from templates, automatically substituting skill name, description, author, and metadata \n Validates YAML frontmatter, content quality, word counts, and writing style against Anthropic best

Search, retrieve, and install reusable AI agent skills from the prompts.chat registry. \n \n Provides two core MCP tools: search_skills for keyword-based discovery with category and tag filtering, and get_skill to retrieve complete skill packages including SKILL.md, documentation, and helper scripts \n Supports installation workflow that creates .claude/skills/{slug}/ directories and verifies file integrity after saving \n Enables skill browsing with result presentation showing title, descriptio

扫描 ~/.claude/skills/ 下所有已安装技能，生成一目了然的可视化地图。

Transform rough notes and workshop content into validated, repo-compliant PM skills. \n \n Guides you through six phases: preflight search, draft generation, tightening, strict validation, repo integration, and optional packaging \n Enforces a strict definition of done including frontmatter validity, metadata limits (name ≤64 chars, description ≤200 chars), and section compliance \n Provides three creation paths: guided wizard for ideas, content-first generator for existing source material, and

Comprehensive guide for creating effective Agent Skills for Apollo GraphQL and GraphQL development. \n \n Provides complete skill structure requirements including mandatory SKILL.md frontmatter, naming conventions, and optional reference file organization \n Covers best practices for writing skill descriptions with numbered trigger conditions, body content with progressive disclosure, and reference file management \n Includes Apollo Voice style guidelines emphasizing approachable, opinionated, a

Learn from practitioners, not theorists—build skills based on real-world case studies and failure patterns. \n \n Focuses on finding practitioners who excel in their domain, then extracting their concrete methods through case studies, failures, and before/after comparisons rather than abstract theory \n Workflow: narrow the task, collect golden cases (what top performers do) and failure cases (common mistakes), identify patterns through contrast, then use theory only to explain why \n Emphasizes

IRON LAW: Every line in a skill must justify its token cost. If it doesn't make the model's output better, more consistent, or more reliable — cut it.

Comprehensive guide for building modular skills that extend Claude's capabilities with specialized knowledge and workflows. \n \n Skills are self-contained packages combining procedural instructions, tool integrations, domain expertise, and bundled resources (scripts, references, assets) to transform Claude into a specialized agent \n Follows progressive disclosure design: metadata always available, SKILL.md loaded on trigger, bundled resources loaded as needed to minimize context bloat \n Core

Skill by ara.so — Daily 2026 Skills collection.

Guide for creating well-structured Agent Skills for Claude Code with best practices and validation. \n \n Covers full Skill lifecycle: scoping, file structure, YAML frontmatter validation, content organization, and testing procedures \n Enforces strict naming rules (lowercase, hyphens, max 64 chars) and description requirements (specific triggers, file types, \"what\" and \"when\" clauses) \n Provides templates for common patterns including read-only Skills, script-based Skills, and multi-file S