Loading...
Loading...
Found 3,190 Skills
Automatically fetch latest library/framework documentation for Claude Code via Context7 API
Multi-agent orchestration workflow for deep research: Split a research objective into parallel sub-objectives, run sub-processes using Claude Code non-interactive mode (`claude -p`); prioritize installed skills for network access and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + summary of key conclusions/recommendations". Applicable scenarios: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-agent parallel research/multi-process research".
Slack workspace integration: 7 on-demand scripts (post, read, search, react, upload, channels, users) + Session Bridge (connect any Claude Code session to Slack via background listener + inbox.jsonl). Daemon, soul engine, and memory system live in Claudicle (github.com/tdimino/claudicle).
Super Ralph Wiggum - autonomous iteration loops with templates, PRD support, progress tracking, and browser testing. This skill should be used when running Claude Code in autonomous loops for test coverage improvement, PRD-based feature development, documentation generation, dataset creation, lint fixing, code cleanup, or framework migrations. Combines the plugin's in-session loop mechanism with specialized templates and best practices from Geoffrey Huntley, Ryan Carson, and AI Hero.
Analyze development sessions, capture learnings, and improve Claude Code instructions. Use when the user wants to reflect on a session, improve CLAUDE.md, extract learnings, or optimize AI-human collaboration. Supports two modes: quick (default) focuses on CLAUDE.md improvements, deep mode performs comprehensive session analysis with learning capture.
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
Evaluate and improve skills through measured testing. Run trigger evaluations to test whether skill descriptions cause correct activation, optimize descriptions via automated train/test loops, benchmark skill output quality with A/B comparisons, and validate skill structure. Use when user says "improve skill", "test skill triggers", "optimize description", "benchmark skill", "eval skill", or "skill quality". Do NOT use for creating new skills (use skill-creator-engineer).
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.
セッション管理の総合窓口。初期化・記憶・状態を一手に引き受けます。Use when managing Claude Code sessions, /session command. Do NOT load for: app user sessions, login state, authentication features.
Multi-path parallel product analysis with cross-model test-time compute scaling. Spawns parallel agents (Claude Code agent teams + Codex CLI) to explore product from multiple perspectives, then synthesizes findings into actionable optimization plans. Can invoke competitors-analysis for competitive benchmarking. Use when "product audit", "self-review", "发布前审查", "产品分析", "analyze our product", "UX audit", or "信息架构审计".
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).