全部能力

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured…

[PREREQUISITE] Install and configure Godot MCP server for programmatic scene manipulation via Model Context Protocol. Use when user explicitly requests…

For contributors to angular-best-practices. Creates new rule files and library skills following project conventions. Not for Angular application development — install angular-best-practices instead.

Use when integrating Drizzle ORM with Bun's SQLite driver for type-safe schema definitions and migrations.

Jeffrey Emanuel's comprehensive markdown planning methodology for software projects. The 85%+ time-on-planning approach that makes agentic coding work at…

Expert patterns for branching dialogue systems including dialogue graphs (Resource-based), character portraits, player choices, conditional dialogue…

Monitors task execution for skill improvement opportunities. Use this skill during ANY multi-step task, agentic workflow, or substantive work session where the agent is using tools and producing deliverables. It captures patterns, user corrections, workflow insights, and methodology worth preserving as reusable skills. Also triggers during post-task feedback discussions and when the user explicitly mentions skill observations, improvements, the observation log, skill taxonomy, or asks the agent to watch for skill opportunities. Also known as "One Skill to Rule Them All" — trigger on this phrase too. IMPORTANT: this skill should be invoked at the start of every task-oriented session — if you are about to use tools to produce deliverables, invoke this skill first. For reliable activation, pair this description with a CLAUDE.md instruction or harness-level session-start hook (see Recommended Activation Setup) — description-level matching alone is not enforceable.

初始化 SecondMe 项目配置和功能模块选择，创建 state.json 和 CLAUDE.md

PostgreSQL 18+ enterprise best practices for database development. USE THIS SKILL WHEN THE USER: - Creates schemas, tables, functions, procedures, or triggers - Writes PL/pgSQL code (naming conventions: l_, in_, io_, co_ prefixes) - Implements Table API (SECURITY DEFINER functions, schema separation) - Manages migrations, indexes, constraints, or query performance - Works with PostgreSQL 18+ features (uuidv7, virtual columns) - Builds Medallion Architecture data warehouses (Bronze/Silver/Gold) - Reviews code for anti-patterns or migrates from Oracle PL/SQL CORE PATTERNS: - Three-schema separation: data (tables) → private (internal) → api (external) - Table API: All access via SECURITY DEFINER with SET search_path - Native PL/pgSQL migration system (no Flyway/Liquibase needed) - Trivadis naming: l_ (local), in_ (input), io_ (inout), co_ (constant)

Install, initialize, verify, and troubleshoot RTK (Rust Token Killer) for AI coding agents. Use when you need to reduce shell-command token output, confirm that the correct `rtk` binary is installed, choose between Homebrew, install.sh, or Cargo installation, wire `rtk init` for Claude Code, Codex, Gemini CLI, Cursor, Copilot, Windsurf, Cline, or OpenCode, or use compact wrappers such as `rtk git status`, `rtk read`, `rtk grep`, `rtk test`, `rtk lint`, and `rtk gain`. Triggers on: rtk, rust token killer, token saver cli, rtk init, rtk gain, codex rtk, gemini rtk, opencode rtk, claude hook token reduction.

macOS screen capture, window recording, GIF conversion, and agent evidence bundles from the terminal. Built on ScreenCaptureKit for window-level targeting…

Build Retrieval-Augmented Generation (RAG) applications that combine LLM capabilities with external knowledge sources. Covers vector databases, embeddings,…

基于用户需求为当前功能生成定制检查清单的专业工具。专门用于需求质量验证，生成"英语的单元测试"，验证需求的完整性、清晰度和一致性。触发词：speckit-checklist、检查清单、需求验证、质量检查、checklist、requirements validation、质量审查、spec review

Analyze production Agentforce agent behavior using session traces and Data Cloud. TRIGGER when: user queries STDM session data or Data Cloud trace records;…

Implements background job processing with BullMQ/Redis including job queues, workers, scheduling, retries, and monitoring. Use when users request "background…

Builds Nango Functions (TypeScript createAction/createSync) with checkpoint-first sync patterns, action and sync references, project/root checks, deletion…

Generates original sports journalism articles by consuming real-time data from the sports-skills skills. Covers game previews, live reports, post-game, team analysis, and player profiles for all supported sports. Use when: the user asks to write, generate, create, or draft an article, preview, report, analysis, summary, or journalistic coverage about games, teams, players, scores, statistics, or sports results. Do not use when: the user only wants raw data without journalistic text — use the sport-specific skill directly (nfl-data, nba-data, football-data, etc.). Do not use when: the user wants to search for news published by third parties — use sports-news.

Interactive guide for creating Remotion videos - from strategic concept to rendered MP4. Use when the user wants to create a video, make a Remotion project, build a product demo video, generate a launch video, make a recurring content template, create a marketing video, or says "I need a video for...", "help me make a video", "video for my product", "remotion video". Covers the full creative process: expert deliberation, scenario design, build, and review. Works alongside the official remotion-dev/skills for API-level guidance.

Summarize weekly GitHub contributions for writing weekly reports

Stage the intended changes and create one clear conventional commit.