$ skills --list
AIエージェントスキルを閲覧・発見
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AIエージェントスキルを閲覧・発見
Showing 761-780 of 44357 skills
Rust documentation practices for HASH codebase. Use when writing doc comments, documenting functions/types/traits/modules, creating error sections, using intra-doc links, or following rustdoc conventions.
Meta-skill for creating and managing Claude Code skills
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
Scrape web pages and extract content via Firecrawl MCP
Use when implementing any feature or bugfix, before writing implementation code
Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.
Fast codebase search via WarpGrep (20x faster than grep)
Code quality checks, formatting, and metrics via qlty CLI
Analyze Claude Code sessions via Braintrust
Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
Template for chaining multiple MCP tools in a single script
AI-powered web search, research, and reasoning via Perplexity
Complete Claude Code hooks reference - input/output schemas, registration, testing patterns
Analyze brownfield codebase and create initial continuity ledger
Search GitHub code, repositories, issues, and PRs via MCP
Use RepoPrompt CLI for token-efficient codebase exploration
Search library documentation and code examples via Nia
Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)
AST-based code search and refactoring via ast-grep MCP
Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok Code Fast) and proven consultation strategies based on real-world testing.