全部能力

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)

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.

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

product-manager — an installable skill for AI agents, published by lotosbin/claude-skills.

Product management frameworks for business cases, market analysis, strategy, prioritization, OKRs/KPIs, personas, requirements, and user research. Use when…

Syntax highlight code blocks with Shiki. Supports server-side rendering in RSC and automatic light/dark theme switching.

Profile and optimize application performance including load times, memory usage, and rendering. Use when debugging slow performance, memory leaks, or…

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

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

Discovers and installs agent skills from the open ecosystem. Enriches search results with descriptions fetched from skills.sh. Use when a user asks "how do I do X", "find a skill for X", "is there a skill that can...", or wants to extend agent capabilities. Use for skill discovery, skill search, skill install, finding tools.

Atlassian Template and Files Creator/Modifier expert for creating, modifying, and managing Jira and Confluence templates, blueprints, custom layouts, reusable components, and standardized content structures. Use for building org-wide templates, custom blueprints, page layouts, and automated content generation.

Expert blueprint for scene loading, transitions, async (background) loading, instance management, and caching. Covers fade transitions, loading screens,…

Expert blueprint for RichTextLabel with BBCode formatting (bold, italic, colors, images, clickable links) and custom effects. Covers meta tags, RichTextEffect…

Best practices for using `expect` and `package:matcher`. Focuses on readable assertions, proper matcher selection, and avoiding common pitfalls.

Build modern, composable, and accessible React UI components following the components.build specification. Use when creating, reviewing, or refactoring…

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer

Run Karpathy-style autonomous ML search on a real training repository. Use when the user needs to set up or operate `karpathy/autoresearch`, choose the right run mode (setup, `program.md`, bounded loop, result interpretation, or constrained-hardware adaptation), and preserve the immutable `prepare.py` / 300-second / `val_bpb` contract. Not for prompt evaluation, LLM app observability, or repo-local `SKILL.md` optimization — route those to LangSmith, Promptfoo, Braintrust, or `skill-autoresearch`. Triggers on: autoresearch, autonomous ML experiments, `program.md`, `train.py`, `val_bpb`, overnight GPU loop, fixed eval harness.

Stop being a relationship builder. Learn the research-backed methodology that top performers use to teach, tailor, and take control of sales conversations. Use…

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

Expert-level security auditing, compliance, code review, and vulnerability assessment