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Found 11,643 Skills
This skill must be used when initializing, maintaining, and executing by-harness workflows. It applies to scenarios where users mention by-harness, harness, initialization, continuous task decomposition, executing feat, plan/build/qa/fix, session_close, automatic resumption, runtime upgrade, or need to issue Java Gate, Distributed Java Gate, and three-tier frontend specifications to constrain model coding. This skill generates independent closed-loop scaffolding, sharded task storage, session closure tools, runtime upgrade tools, and issues Java hard rule gates, distributed Java coding contracts, three-tier frontend specifications, and BYAI HTML visual references; feature_list is only used as a legacy compatibility mirror.
Use Gizmo to create, inspect, edit, validate, and automate browser 3D worlds with the gizmo CLI, live sessions, MCP, screenshots, component schemas, module authoring, and stable entity IDs. Use when working with Gizmo worlds, setting up agents for Gizmo, or generating 3D scenes through CLI/MCP workflows.
Add multiple functional specs to the ***functional specs*** section of a ***plain spec file in a single batch. Use whenever more than one new functional spec is being added — whether the user explicitly asks, or another skill/workflow (e.g. forge-plain, add-feature) needs to author several specs in one pass. Bulk-writing or hand-authoring functional specs without invoking this skill is forbidden; for adding a single spec, use add-functional-spec instead.
Designs, builds, debugs, and documents OpenClaw workflows, skills, and AI assistant configurations. Use when the user mentions "OpenClaw," "personal AI assistant," "local AI," "ClawdHub," "openclaw skills," "chat platform AI," or wants to set up AI assistants across WhatsApp, Telegram, Discord, or Slack.
Weavr.io integration. Manage data, records, and automate workflows. Use when the user wants to interact with Weavr.io data.
Builds real-time analytics and automation with PubNub Illuminate. Covers Business Objects (schema), Metrics (aggregations), Decisions (threshold-triggered actions with the 4-step PUT workflow), Queries (ad-hoc vs saved pipelines), and Dashboards. Use when tracking KPIs, building threshold alerts, automating mute/publish/App-Context-update actions, detecting spam or anomalies, or visualizing live activity.
Feishu/Lark binding: device flow authorization, connect, disconnect, status check. Use when setting up or managing Feishu/Lark connection (e.g. connect Feishu, connect Lark, bind 飞书, check Feishu status, disconnect Lark).
Capture a hard-won "golden path" from the current session as a reusable Agent Skill, so future sessions start already knowing it. Use it (1) right after non-trivial debugging, after working out a multi-step operational workflow, or after rediscovering project facts you didn't know up front — e.g. how to reach the dev/prod database, where credentials and env vars live, how to deploy, run migrations, or verify a change live; and (2) whenever the user says "remember this", "save this as a skill", "make a skill for this", "don't make me re-explain this next time", or otherwise wants a workflow preserved across sessions. Proactively recognize the moment even when unprompted: if a task took several attempts before it worked, used non-obvious tooling, or is likely to recur, harvest it without asking first. Delegates to a subagent when your tool supports one, or works inline, to extract the proven procedure into a new project-local or global skill.
AI SDLC test-case-driven testing workflow. Use when an AI assistant is asked to derive test cases, create a test plan, expand coverage, or write tests from explicit scenarios before implementing unit, service, transport, or integration tests. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
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.
Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline", "full root cause analysis", "why is this failing and how to prevent it". For simple debugging ("why did dag fail", "show logs"), the airflow entrypoint skill handles it directly. This skill provides structured investigation and prevention recommendations.
Creates custom agents, workflows, and templates for BMAD. Extends BMAD functionality with domain-specific components. Trigger keywords - create agent, create workflow, custom skill, extend BMAD, new template, customize, scaffold skill