Total 56,945 skills, AI & Machine Learning has 9468 skills
Showing 12 of 9468 skills
Advanced information retrieval specialist combining systematic search strategies, multi-platform expertise, and precision filtering techniques. Excels at finding specific, high-quality information across diverse sources while minimizing noise and maximizing relevance.
Development skill from everything-agent-code
Use Neo4j memory MCP for creating/updating linked memories (entities, relations), de-duplication (DRY), and retrieval queries for project continuity. Use when saving global learnings or querying graph relationships.
When a step fails during an agentic task, classify the error (transient, configuration, logic, or permanent), apply the right recovery strategy, and escalate to the user when all strategies are exhausted. Triggers on error messages, exceptions, tracebacks, "failed", "not working", "retry", or when 2 consecutive steps fail.
Router-First Architecture
Use when about to ask the user a factual question, propose a solution, diagnose an error, or choose between approaches. Triggers on: 'Do you have X installed?', 'What version?', 'Is X configured?', 'We should...', 'The fix is...', 'Options: 1...', 'Based on my understanding...', 'I believe X supports...'. Before deciding anything, spin up parallel subagents to WebSearch for current docs, community solutions, framework best practices, and GitHub issues. Your memory is stale — verify everything.
Guide for creating and managing Claude Code plugin marketplaces. Use when setting up a marketplace, validating marketplace.json, or distributing plugins.
Use when coordinating multi-agent work with dependencies, parallel workstreams, or complex handoffs requiring milestone tracking
Design and refactor Agent Skills with concise, high-signal instructions and explicit trigger metadata. Use when creating a new skill, revising SKILL.md/README.md structure, or improving skill discoverability and portability.
MixSeek-Plusのデバッグ機能を有効化し、ログ出力を制御します。「デバッグモードを有効化」「verbose」「ログを出力」「ログレベル」「デバッグ設定」といった依頼で使用してください。
Analyzes an MLflow session — a sequence of traces from a multi-turn chat conversation or interaction. Use when the user asks to debug a chat conversation, review session or chat history, find where a multi-turn chat went wrong, or analyze patterns across turns. Triggers on "analyze this session", "what happened in this conversation", "debug session", "review chat history", "where did this chat go wrong", "session traces", "analyze chat", "debug this chat".
Gemini API를 사용한 슬라이드 이미지 렌더링 스킬. renderer-agent가 프롬프트 파일을 이미지로 변환할 때 사용. generate_slide_images.py 스크립트 실행 가이드, 환경 요구사항, 출력 해석, 에러 처리 방법을 포함합니다.