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Found 6,674 Skills
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.
Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.
Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with fair-comparison caveats and no-overclaim summaries in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, verified SOTA claims, or implicit experimentation.
Feishu Video Conference: Allow bots to join/leave ongoing meetings on behalf of the current user, and read real-time events during the meeting (participant join/leave, speaking, chatting, screen sharing, etc.). 1. When users provide a 9-digit meeting number and request to join or leave on their behalf, use +meeting-join / +meeting-leave — this will generate actual join/leave records. 2. During a meeting, when users want to know in-meeting dynamics such as "who joined", "who left", "who is speaking", "is someone sharing their screen", the bot can use +meeting-events to read the event timeline after joining the meeting. 3. Typical scenarios: Meeting participant bot, in-meeting assistant, proxy attendance, proxy participation. Prerequisite: The bot can only read events of meetings that it has joined and are still ongoing; to query the participant list, minutes, or transcript of an ended meeting, please use the lark-vc skill.
Grill me about specs for the workflows I want to build, within this workspace.
Use when executing implementation plans with independent tasks in the current session
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
AI-powered autonomous data extraction that navigates complex sites and returns structured JSON. Use this skill when the user wants structured data from websites, needs to extract pricing tiers, product listings, directory entries, or any data as JSON with a schema. Triggers on "extract structured data", "get all the products", "pull pricing info", "extract as JSON", or when the user provides a JSON schema for website data. More powerful than simple scraping for multi-page structured extraction.
Manage your team — create roles, assign tasks, spawn workers, and monitor progress
Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.