LLM & Agents
6763 skills in Data & AI > LLM & Agents
writing-style
Write in Steven's voice—pragmatic, curious, pedagogical. Opens with measurable payoffs, builds mental models from first principles, uses worked examples, and handles uncertainty honestly. Use for essays, blog posts, and technical articles.
vscode-tdd-expert
This skill provides expert-level guidance for Test-Driven Development (TDD) in VS Code extension development following t-wada methodology. Use when writing tests before implementation, creating comprehensive test suites, implementing Red-Green-Refactor cycles, or improving test coverage for extension components like WebViews, terminal managers, and activation logic.
write-skill
Create effective Claude Code SKILL.md files following Anthropic's official patterns. Use when writing new skills, improving existing skills, or learning skill best practices.
dart-run-tests
To run Dart or Flutter tests with the agent-centric test runner, execute tests using this tool instead of shell `dart test` or `flutter test`.
write-subagent
Create Claude Code subagent configurations for .claude/agents/. Defines specialized agents with isolated contexts. Use when creating dedicated agents for code review, testing, or domain-specific tasks.
magi-decision-support
Multi-perspective decision support using three AI agents (Scientist, Mother, Realist). Use when facing difficult decisions, trade-offs, comparing alternatives, choosing between options, or when unsure which approach is best. Triggers on questions like "should I", "which is better", "pros and cons", "normalize vs denormalize", "microservices vs monolith", or any technical/architectural decision with multiple valid options.
multi-agent-coordination
Coordinate work between multiple AI agents in Agent Hive. Use this skill when multiple agents need to collaborate, managing dependencies between projects, preventing conflicts, using the coordination server, or understanding multi-agent workflows.
vitest-testing
Vitest test runner for JavaScript and TypeScript. Fast, modern alternative to Jest.Vite-native, ESM support, watch mode, UI mode, coverage, mocking, snapshot testing.Use when setting up tests for Vite projects, migrating from Jest, or needing fast test execution.
claude-blog-sources
Access Claude Blog for latest Claude Code improvements, usage patterns, and best practices.Use when researching Claude Code features, CLAUDE.md optimization, or staying current withClaude capabilities. Checks recent articles for relevant updates and patterns.
update-agents-md
Update AGENTS.md with new rules to prevent AI misbehavior or add operational guidelines. Use when the user says "update AGENTS.md", "add this rule", "change AI behavior", or "don't do X automatically".
hypothesis-testing
Property-based testing with Hypothesis for discovering edge cases and validating invariants.Use when implementing comprehensive test coverage, testing complex logic with many inputs,or validating mathematical properties and invariants across input domains.Triggered by: hypothesis, property-based testing, @given, strategies, generative testing.
scrum-event-sprint-planning
Guide Sprint Planning in AI-Agentic Scrum. Use when selecting PBI, defining Sprint Goal, or breaking into subtasks.
vectorcode-semantic-search
Semantic code search with VectorCode using embeddings for finding code by meaning, not just keywords. Use when searching for code patterns, similar implementations, concept-based search, or when keyword search fails. Automatically available via MCP.
claude-code-github-workflows
Claude Code workflow design and automation patterns for PR reviews, issue triage, and CI/CD integration. Use when creating or modifying GitHub Actions workflows that integrate Claude Code.
research
Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficult sites. Fabric pattern selection for 242+ specialized prompts. USE WHEN user says 'do research', 'extract wisdom', 'analyze content', 'find information about', or requests web/content research.
create-skill
Guide for creating new skills in magenta.nvim, including file structure, frontmatter format, and TypeScript script execution
pydantic-ai-testing
Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.
sap-cloud-sdk-ai
Integrates SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications. Use when building applications with SAP AI Core, Generative AI Hub, or Orchestration Service. Covers chat completion, embedding, streaming, function calling, content filtering, data masking, document grounding, prompt registry, and LangChain/Spring AI integration. Supports OpenAI GPT-4o, Claude, Gemini, Amazon Nova, and other foundation models via SAP BTP.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
docs-maintenance
Keep project documentation current and optimized for AI agents. Use when user asks to "update docs", "sync documentation", "update CLAUDE.md", "update README", "check documentation freshness", "document recent changes", or "optimize docs for AI".