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Found 9,797 Skills
Validate and optimize CLAUDE.md files using Anthropic's best practices for focused sessions. Detects contradictions, redundancy, excessive length (200+ lines), emphasis overuse (2%+ density), broken links, and orphaned sections. Scores health 0-50 points. Suggests safe automated fixes and extraction opportunities. Use when editing CLAUDE.md, before commits, when document grows past 200 lines, user says "optimize CLAUDE.md", "check contradictions", "validate documentation", or during quarterly reviews. Works with project and global CLAUDE.md files (.md extension). Based on Anthropic 2025 context engineering best practices.
Prompt caching for Claude API to reduce latency by up to 85% and costs by up to 90%. Activate for cache_control, ephemeral caching, cache breakpoints, and performance optimization.
Meta-skill for extracting and creating reusable Claude Code skills from past work sessions. Analyzes git history, code patterns, workflows, and documentation to identify harvestable skills, then generates comprehensive skill definitions with best practices, examples, and structured templates.
分析代码审查反馈或开发中发现的问题，提取通用规则并更新 CLAUDE.md 和详细规则文档。当用户说"更新规则"、"添加编码规则"、"update claude md"或发现需要记录的编码模式时使用。
You are updating this project's CLAUDE.md to reflect **meta learnings** (conventions, philosophy, gotchas) and **significant recent changes** to the codebase.
Comprehensive TUI/Web dashboard for Claude Code monitoring
Generate a pre-meeting prep brief in Claude Code. Researches participants, pulls vault context, builds agenda, surfaces sharp questions. Use when user says "prep for this meeting," "I have a call with," "meeting tomorrow with," or "prep brief for [name/company]."
Expert at integrating MCP servers into Claude Code plugins. Auto-invokes when configuring MCP servers (stdio/SSE/HTTP/WebSocket), writing .mcp.json files, or adding external tool integrations.
Comprehensive LinkedIn personal branding analysis, profile optimization, and visibility improvement skill using Claude for Chrome browser tools. Use when users request LinkedIn profile analysis, personal branding audit, profile optimization recommendations, LinkedIn visibility improvement, headline optimization, About section review, content strategy guidance, engagement analysis, or Social Selling Index improvement. Works with Claude for Chrome to analyze profile photos, banners, headlines, About sections, experience, skills, recommendations, featured content, activity/posts, and network engagement directly from the user's browser.
Scans project docs, classifies procedural content, extracts into .claude/commands skills
Manually teach Claude Code an error pattern and its solution, storing it in the learning database with high confidence. Use when user provides an explicit "error -> solution" pair, wants to pre-load fix knowledge, or corrects a previous bad fix. Use for "/learn", "teach pattern", "remember this fix". Do NOT use for automatic error learning (that is the error-learner hook), debugging live issues, or querying existing patterns.
First-time Perses setup pipeline: discover or deploy server, configure MCP connection, create initial project, add datasources, and verify connectivity. 4-phase pipeline: DISCOVER, CONNECT, CONFIGURE, VALIDATE. Use when setting up Perses for the first time, connecting Claude Code to an existing Perses instance, or onboarding a new team to Perses. Use for "perses onboard", "setup perses", "connect to perses", "perses getting started". Do NOT use for dashboard creation (use perses-dashboard-create) or server deployment details (use perses-deploy).