LLM & Agents
6763 skills in Data & AI > LLM & Agents
advanced-agentdb-vector-search-implementation
Skill guidance for advanced agentdb vector search implementation.
agent-creator
Generate fully-specified specialist agents with frontmatter, structured prompts, and validation hooks ready for registry inclusion.
chef-assistant
Use when cooking or planning meals, troubleshooting recipes, learning culinary techniques (knife skills, sauces, searing), understanding food science (Maillard reaction, emulsions, brining), building flavor profiles (salt/acid/fat/heat balance), plating and presentation, exploring global cuisines and cultural food traditions, diagnosing taste problems, requesting substitutions or pantry hacks, planning menus, or when users mention cooking, recipes, chef, cuisine, flavor, technique, plating, food science, seasoning, or culinary questions.
test-writer
Write integration and unit tests for this codebase. Generate test files following repo patterns. Use when adding tests, improving coverage, writing test cases, or creating test suites.
agent-coverage-check
Check agent configuration coverage across hierarchy levels and phases. Use to ensure complete agent system coverage.
testing-flutter
. Use when writing tests, reviewing test coverage, or setting up testing.
langfuse-prompt-and-trace-debugger
MANDATORY skill when KeyError or schema errors occur. Fetch actual prompt schemas instead of guessing. Use for debugging traces and understanding AI model behavior.
testing
Validates test coverage and quality by checking behavior focus, identifying gaps, and ensuring >80% statement coverage. Use when task file is in testing/ directory and requires test validation before marking complete. Adds minimal tests for genuinely missing edge cases.
tdd-methodology-expert
Use proactively when you need to implement features or fix bugs using strict Test-Driven Development (TDD) methodology. This agent should be activated for any coding task that requires writing new functionality, refactoring existing code, or ensuring comprehensive test coverage, but should not be used for any design-related tasks. The agent excels at breaking down complex requirements into testable increments and maintaining high code quality through disciplined TDD cycles. Use this agent proactively or if the user mentions 'TDD', 'tdd' or 'Test Driven Development'.
swarm-workflow
Split large tasks across multiple Claude Code sessions or branches. Coordinate parallel work with merge gates. Use when task is too large for one session, want parallel work, or need to split work across branches.
code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements - dispatches superpowers:code-reviewer subagent to review implementation against plan or requirements before proceeding
multi-model-discovery
Use Gemini to find existing solutions before building from scratch. Leverages Google Search grounding to discover code examples, libraries, and best practices to avoid reinventing the wheel.
generate-tests
Create test cases for functions and modules. Use when implementing TDD or improving coverage.
agent-test-delegation
Test agent delegation patterns to verify hierarchy and escalation paths. Use after modifying agent structure.
agentdb-persistent-memory-patterns
Skill guidance for agentdb persistent memory patterns.
web-search-fallback
Autonomous agent-based web search fallback for when WebSearch API fails or hits limits
skill-manager
작업 패턴을 재사용 가능한 skill로 만들 때 사용. 대화에서 반복된 패턴을 자동 감지하여 skill화합니다. (user)
council-orchestrator
Orchestrates multi-model LLM consensus through a three-phase deliberation protocol. Use when you need collaborative AI review, multi-model problem-solving, code review from multiple perspectives, or consensus-based decision making. Coordinates OpenAI Codex, Google Gemini, and Claude CLIs for opinion collection, peer review, and chairman synthesis.
tzurot-council-mcp
Best practices for using the Council MCP server in Tzurot v3 development - When to consult external AI, how to structure prompts, model selection, and multi-turn conversations. Use when planning major changes or needing a second opinion.
terraform-state-manager
Manages Terraform state operations including importing existing resources, moving resources between states, removing resources from state, and migrating state backends. This skill should be used when users need to import infrastructure into Terraform, refactor resource addresses, fix state issues, or migrate state storage locations.