LLM 與 Agent
6763 skills in 數據與 AI > LLM 與 Agent
process-faq
Process and transform FAQ documents (xlsx, word, pdf, txt) into RAG-optimized format. Use when working with FAQ files, knowledge base documents, or when the user needs to analyze and restructure FAQ content for RAG systems.
cgl-consulting-guiding
Answers questions about the cgl-consulting plugin including commands, agents, and methodology. Auto-activates on plugin help requests like "what commands", "how do I use", "where do I start", or "explain the methodology". Provides quick reference or spawns guide agent for complex questions.
code-reviewer
Use this skill after code changes are made, when reviewing implementations, checking code quality, or ensuring constitutional compliance. Apply when user mentions reviewing, analyzing, or checking code quality. Also use proactively after significant code implementations to verify they follow mini_agent framework principles.
generate-tests
Generate unit tests, integration tests, and test cases for code. Use when you see TEST comments, when asked to add test coverage, or when writing tests for new functionality.
launch-planner
Transforms app ideas into shippable MVPs using Next.js + Supabase. Enforces ship-fast philosophy, prevents feature creep, generates PRDs and Claude Code starter prompts. Maximum 1-week builds focused on core user loop only.
code-reviewing
AI 驱动的代码审查能力,当用户提到代码审查、code review、审查代码、查看代码质量等关键词时自动触发。使用 9 个并行 Agent 进行全维度分析(Bug/质量/安全/性能)。
design-system-enforcement
Mandatory design system guidelines for shadcn/ui with Tailwind v4. Enforces 4 font sizes, 2 weights, 8pt grid spacing, 60/30/10 color rule, OKLCH colors, and accessibility standards. Use when creating components, pages, or any UI elements. ALL agents MUST read and validate against design system before generating code.
multi-agent-parallel-investigation
Decompose complex questions into 4-6 parallel investigations with different perspectives, synthesize into phased decision framework. Use when facing architecture decisions with multiple unknowns in crypto/trading data platforms.
skill-evaluator
Evaluate Claude Code skills against best practices including size, structure, examples, and prompt engineering quality. Provides comprehensive analysis with actionable suggestions.
dynamic-task-orchestrator
Implements Anthropic's Orchestrator-Workers pattern where a central LLM dynamically breaks down complex tasks, delegates to specialized worker LLMs, and synthesizes results. Use for open-ended problems where subtask number and nature are unpredictable. Ideal for complex projects (0.7+ complexity) requiring adaptive planning.
imggen
Use this skill when users want to generate images using OpenAI's image generation API (DALL-E or gpt-image-1), or extract text from images using OCR. Invoke when users request AI-generated images, artwork, logos, illustrations, visual content from text prompts, or need to extract text/data from images.
sisyphusplanner
Strategic design agent focused on codebase research and implementation blueprinting.
command-development
This skill guides creating slash commands for Claude Code—reusable Markdown-based prompts with YAML configuration. Use when building custom commands, designing command workflows, or extending Claude Code functionality.
model-coordination
Use this skill when coordinating multiple AI models (Claude, GPT, Gemini, DeepSeek) for competitive trading analysis, running parallel model execution, aggregating decisions, or managing model performance tracking. Essential for multi-model trading arena operations.
testing-test-writing
Write minimal, strategic tests focused on core user flows and critical paths rather than comprehensive coverage. When creating or modifying test files for unit tests, integration tests, or end-to-end tests. When working on test files (*.test.ts, *.spec.ts, __tests__/*). When writing tests for critical user workflows and primary functionality. When testing behavior rather than implementation details. When mocking external dependencies or ensuring fast test execution. When deciding which parts of the codebase require testing coverage.
mova-repo-snapshot-basic-wrapper
LLM-only skill that accepts a repository structure dump, README, and notes, and returns a standardized markdown snapshot, condensed memory summary, and human checklist. No external HTTP requests or web search.
db-schema
Database schema RAG system. Activates when working with database tables, migrations, queries, or schema changes.
doc-to-skill-scraper
Scrape external documentation (API references, library docs, protocol specifications) and generate Claude Agent Skills in SKILL.md format. Use when creating skills from documentation, integrating third-party knowledge, or building domain-specific skills. Parses HTML/Markdown, extracts structure, generates proper frontmatter and instructions. Triggers on "scrape documentation", "docs to skill", "generate skill from docs", "API documentation to skill".
using-crispyclaude
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
create-plans
Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that Claude will execute. Produces Claude-executable plans with verification criteria, not enterprise documentation. Handles briefs, roadmaps, phase plans, and context handoffs.