Total 56,125 skills
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ComfyUI custom node project structure - directory layout, __init__.py, registration, requirements.txt, publishing, WEB_DIRECTORY. Use when setting up a new custom node project, packaging nodes, or publishing to the registry.
Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning
Expert site reliability engineer specializing in SLOs, error budgets, observability, chaos engineering, and toil reduction for production systems at scale.
This skill should be used when processing meeting transcripts to auto-detect meeting type (leadgen, partnership, coaching, internal) and extract type-specific structured analysis. Triggers on "process meeting", "analyze meeting", "meeting summary", or after syncing new Fathom/Granola transcripts.
Finds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery datasets, tables, or views - BigLake catalog or tables - Spanner instances, databases or tables - etc. 2. You need to retrieve the schema, metadata, or governance policies for a GCP data asset. 3. You have a keyword or topic (e.g., "sales data") but lack the specific table or resource ID. 4. You are attempting to find data using `bq ls`, as this skill offers a superior approach. Don't use when: - Assets are outside Google Cloud
guidelines for creating, reviewing, updating, and searching ADK documentation - use when users ask about writing, maintaining, or auditing ADK bot docs
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.
Use when the user asks for nearby public/open restrooms or 근처 화장실. Always ask the user's current location first, then use the official nationwide public-restroom standard dataset plus Kakao anchor resolution.
올라포케 역삼점의 메뉴·매장 정보·이벤트 참여 흐름을 remote MCP 서버 기준으로 안내한다.
Targeted Chatroom: Recommend experts based on topics or accept user-specified experts to simulate multi-role conversations. Trigger methods: /dbs-chatroom, /targeted-chatroom, "Targeted Chatroom"
Associate two tasks (cross-project support)
Generates eval test cases from an eval suite plan (output of /eval-suite-planner) or a plain-English agent description. Supports both single-response and conversation (multi-turn) evaluation modes. Outputs a Copilot Studio test set table, a CSV file for import (single-response only), and a docx report for human review.