Total 50,903 skills, AI & Machine Learning has 8525 skills
Showing 12 of 8525 skills
Use when theoretical calculations need experimental validation, protocols must be designed with clear hypotheses and success criteria, or resource requirements (equipment, materials, expertise) must be estimated for proposed experiments
Use when combining information from multiple Glean sources or when needing to synthesize results across documents, meetings, code, and people searches. Triggers on complex queries that span multiple data types, when results seem contradictory, when building comprehensive answers from partial information, or when the user asks for a complete picture of something that requires multiple queries.
Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives
Initializes and maintains architecture artifacts with handoff-first context loading, lazy scoped updates, and compact JSON handoff output for workflow-driven invocations.
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.
Vibe Kanban orchestration platform for AI coding agents: workspaces, sessions, task management, code review, git worktrees, multi-agent support. Keywords: Vibe Kanban, AI agents, Claude Code, Codex, Gemini, kanban board, git worktree, code review, MCP server, workspaces, sessions.
Token usage tracking, cost estimation, and usage analytics
Plans.mdのタスクを実装。スコープを聞いて自動判断、1タスクから全タスクまで。Use when user mentions '/work', execute plan, implement tasks, build features, work on tasks, 'do everything', 'implement', '実装して', '全部やって', 'ここだけ'. Do NOT load for: planning, reviews, setup, deployment, or breezing (team execution).
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.
Spawn 5 Opus subagents with randomly-generated distinct personas to debate a problem from multiple angles. Use when exploring UX decisions, architecture choices, or any decision that benefits from diverse perspectives arguing creatively.
Edits an existing image using a text prompt. Use when you need to modify, enhance, or transform an image based on text instructions.
Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.