Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Plan and run usability tests on existing or prototype designs including test design, task scripts, moderation, observation, and findings synthesis. Use this skill whenever the user wants to test usability, run a moderated test, run an unmoderated test, validate a design, find usability issues, or improve task completion. Triggers on usability test, usability testing, moderated test, unmoderated test, task script, think aloud, prototype testing, user testing, design validation, task completion. Also triggers when the user has built something and wants to know if real users can use it before shipping.
Video understanding and transcription with intelligent multi-provider fallback. Use for: (1) transcribing video or audio; (2) understanding video content, including visual elements and scenes; (3) analyzing YouTube videos by URL; (4) extracting information from local video files; (5) getting timestamps, summaries, or answers to questions about video content. Automatically selects the best available provider based on configured API keys, preferring full video understanding (Gemini/OpenRouter) over ASR-only providers. Supports model selection per provider
Write and edit project docs (README/markdown) as a glossary of principles, not a mirror of the code. Use when creating or revising a README; when a doc enumerates exact scenes, scenarios, helpers, class IDs, file lists, or command/flag matrices already represented in code; when trimming narrative or changelog content from a doc; or when deduplicating overlapping docs and wiring a root doc to its sub-docs.
Authors JSON Schema definitions for use with z-schema validation. Use when the user needs to write a JSON Schema, define a schema for an API payload, create schemas for form validation, structure schemas with $ref and $defs, choose between oneOf/anyOf/if-then-else, design object schemas with required and additionalProperties, validate arrays with items or prefixItems, add format constraints, organize schemas for reuse, or write draft-2020-12 schemas.
Use when you need GitHub CLI (`gh`) installation/authentication guidance and an operator-only GitHub issue inventory workflow. The agent does not ingest GitHub issue, milestone, body, comment, title, label, or summary text; requirements analysis must use repository-owned planning artifacts, with issue numbers only for traceability. This should trigger for requests such as GitHub issue inventory workflow; GitHub CLI setup for issues; Prepare issue traceability lists; Analyze repository planning artifacts linked to GitHub issues. Part of Plinth Toolkit
Create complete stylized 3D animated shorts from a story idea through an ordered production workflow covering project brief, story outline, character and environment cards, standardized shot planning, text or optional pencil storyboards, video-model selection, single-shot generation, assembly, BGM matching, and final review. Use when the user wants an end-to-end narrative animation workflow with strong character consistency, scene continuity, timing, camera, performance, and audio control. Not for single images, simple edits, photorealistic live action, or one standalone clip.
Discover and invoke published AIsa tools with unified MCP or the AIsa CLI (search, schema, quote, call). Use when the user wants AIsa tools or sign-in, or needs current web, company, or social data AIsa tools can fetch—even if they do not name AIsa. Do not use for OpenClaw Chinese model provider setup (aisa-provider), installing other catalog skills, or work that does not need live AIsa data.
Configure, develop, deploy, review, and troubleshoot Alchemy v2 infrastructure for Darkmatter TypeScript/Effect apps. Triggers for alchemy.run.ts, alchemy dev, public preview URLs, webhook testing, Cloudflare/AWS providers, stages, profiles, state stores, bindings, CI deploys, or examples from alchemy-run/alchemy-effect. Prefer Alchemy for new org deploys. Do NOT trigger for unrelated blockchain Alchemy APIs unless the user explicitly means alchemy.run
Generate videos with Model Studio DashScope SDK using Wan video generation models (wan2.6-t2v, wan2.6-i2v-flash, wan2.6-i2v and regional variants). Use when implementing or documenting video.generate requests/responses, mapping prompt/negative_prompt/duration/fps/size/seed/reference_image/motion_strength, or integrating video generation into the video-agent pipeline
Give your agent a budget, a target, and a deadline — it does the rest. Orchestrates DSL + Opportunity Scanner + Emerging Movers into a full autonomous trading loop on Hyperliquid. Race condition prevention, conviction collapse cuts, cross-margin buffer math, speed filter. 3 risk profiles: conservative, moderate, aggressive. Use when setting up autonomous trading, creating a trading strategy, or running a scan-evaluate-trade-protect loop.
Create on-brand Canva presentations from an outline or brief. Use when the user asks to create a branded presentation, make an on-brand deck, turn an outline into slides, or generate a presentation from a brief. Input can be text directly in the message, a Canva design ID, a reference to a Canva doc by name, or a Canva design link (e.g., https://www.canva.com/design/...)
Apply Kahneman and Thaler's behavioral economics principles to marketing—understand how customers actually make decisions and design experiences that work with human psychology, not against it. Use when: Improve conversion rates by removing friction and applying behavioral nudges; Design pricing pages that guide customers toward optimal choices; Write copy that resonates with how people actually process information; Create urgency and scarcity that feels authentic, not manipul...
Add or modify webhook interceptors in an Adobe Commerce app. Use when the user wants to intercept Commerce operations before or after execution to validate input, append data, or modify behavior. Requires a base app initialized with commerce-app-init.
Commute options and route planning (point-to-point or multi-stop). Use when the user asks “how do I get there/how should I go/commute options/metro and bus transfers/how long and how much by taxi/from the hotel to an attraction or venue,” etc. By default, verify information in real time and provide source links and the lookup time (local time); do not invent precise figures. Calendar entries require explicit user confirmation
A 60 to 75 s hand-drawn ink film of the agent's day with its own user ("a day in my life as <name>'s agent"): one average session from the user's local Claude Code history, beginning to end. The story follows what they actually do (coding, tests, docs, shipping, videos, whatever the history shows), told with their real words (first message, check-ins, corrections, praise, memory titles). It is drawn in two-tone p5.brush strokes that boil at 8 fps and scored for strings composed note-for-note on the film's clock (the typed "claude" is the theme). Trigger on: "day in my life as my agent", "a film about me and my agent", "what is it like to be my agent", "animate your day with me", "make a video of our sessions". Covers harvesting the routine and receipts, the privacy gate, the chapter toolbox, the ink kit, the score, render and QC.
Use when the user asks for an AWS architecture diagram — VPC/networking, event-driven, landing zone, multi-AZ, serverless pipeline, or any diagram built with AWS service icons. Builds with the declarative layout engine using ground-truth mxgraph.aws4 stencils, validates (stencils/colors/nesting/geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
MANDATORY pre-flight check before answering any question or writing any code related to Meta Quest VR headsets (Quest 2, Quest 3, Quest 3S, Quest Pro) or apps that target them. Forces verification against authoritative Meta sources via the metavr CLI / metavr MCP tools BEFORE relying on training-data knowledge. Counters the failure mode where agents answer Quest-related questions from stale memory and ship deprecated APIs, broken Android manifests, and store-rejected builds. Loads automatically when the user is in a Quest project (any reference to Oculus / Meta Quest / Horizon OS, Unity OVR or Meta XR packages, com.meta.* / com.oculus.* package IDs, Quest-targeted AndroidManifest, .meta files, or developers.meta.com / developer.oculus.com URLs). Build paths: all; use this skill first whenever the path is unknown or a Quest-specific claim is involved.
Apple Human Interface Guidelines for iOS 26 / Swift 6.2 clinic-architecture apps. Covers navigation, interaction design, accessibility, feedback states, UX patterns, and visual design for SwiftUI implementations that follow App-target coordinators/route shells and Domain/Data boundaries. Use when designing or reviewing HIG-compliant experiences in the clinic modular MVVM-C stack.
Work safely with endpoint versions — preview a draft in the playground, roll back to an older version, update settings on one version without bumping query history, deactivate a specific version. Use when the user asks "how do I roll back my endpoint", "preview my changes before publishing", "I want to fix v5 without bumping the version", or anything involving the version history. Calls out today's limitations honestly: there is no pointer flip; "rollback" means forking the old query into a new top version.
Use when setting up, designing, writing, or repairing tests and test harnesses in a Meteor 3 app. Triggers on meteortesting:mocha, --driver-package, TEST_WATCH, TEST_BROWSER_DRIVER, MOCHA_GREP, meteor.testModule, focused tests, .only, Meteor.server.method_handlers, Meteor.server.publish_handlers, DDP.connect, --full-app integration mode, sinon, async test signatures, Playwright/Cypress E2E. Use this skill when the user asks about test runners, asks about testing publications, or asks about Jest vs Mocha in Meteor. For a failing, hanging, or flaky test whose failing layer or root cause is unknown, use meteor-debugging before changing the test or app.
Comprehensive guide for this Neovim configuration, a modular, performance-optimized, Lua-based IDE. Use when configuring plugins, adding keybindings, setting up LSP servers, debugging, or extending the configuration. Covers lazy.nvim, 82+ plugins across 9 categories, DAP debugging, AI integrations, and performance optimization.
Query NFT and token data, trade NFTs on Seaport, swap ERC20 tokens via DEX aggregator, configure wallet signing providers, and build/register/gate AI agent tools on Base. Covers the full OpenSea developer surface across CLI, MCP server, shell scripts, and SDK. Pick the right sub-skill using the routing table below, then read that sub-skill's SKILL.md for operational detail.
Provide comprehensive techniques for escalating privileges from a low-privileged user to root/administrator access on compromised Linux and Windows systems. Essential for penetration testing post-exploitation phase and red team operations.
Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definition Trigger terms: requirements, EARS format, user stories, functional requirements, non-functional requirements, SRS, requirement analysis, specification, acceptance criteria, requirement validation Use when: User requests involve requirements analyst tasks.
Must invoke for any request to create, edit, evaluate, understand, or improve a RevenueCat Paywall in the dashboard—including questions about a specific paywall or general paywall design recommendations, and uploading images or fonts to paywall resources / the Media Gallery. Not for presenting a paywall in app code (use revenuecat-paywall).
Generate social media hook video prompts for TikTok, Instagram Reels, and YouTube Shorts with Seedance 2.0 (Higgsfield). Use when the user wants a scroll-stopping hook, viral short video, engaging opening, TikTok, Reels or Shorts content, or any social-media-optimized video. Trigger for social media videos, TikTok, Instagram Reels, YouTube Shorts, viral videos, hooks, scroll stoppers, short videos, trends, engagement, views, or any social media video request. Also applies to requests such as "make something that gets views" or "viral content".
Helps users create and initialize new Tauri v2 projects for building cross-platform desktop and mobile applications. Covers system prerequisites and setup requirements for macOS, Windows, and Linux. Guides through project creation using create-tauri-app or manual Tauri CLI initialization. Explains project directory structure and configuration files. Supports vanilla JavaScript, TypeScript, React, Vue, Svelte, Angular, SolidJS, and Rust-based frontends
Break large features into independently verifiable, human-reviewable slices under a feature directory in specs/. Use for risky or multi-step feature work that needs upfront questioning, API seams, browser-playable checkpoints, HTML visualizations, screenshot gates, staged implementation plans, recursive fog-of-war reslicing, or proactive research into reference implementations/best practices before slicing. Pairs with your project's verification harness and screenshot gates (the browser checkpoints), [refactor-change](../../review/refactor-change/SKILL.md) (review the materialized spec so the plan describes one-owner architecture, not the feature bolted on), [screenshot-critique](../../visual/screenshot-critique/SKILL.md) and [compare-screenshots](../../visual/compare-screenshots/SKILL.md) (the visual gates), and a code-review pass (audit each slice before it lands).
Add new skills to an existing workflow and update all related documentation. Use when user wants to add skills from GitHub URLs to a workflow (e.g., "add this skill to the workflow", "为工作流添加技能"). Triggers on adding skills to workflows, updating workflow documentation after skill additions
DataWorks Workspace Lifecycle Management Skill. Used for creating workspaces, querying workspace information, and adding workspace members with role authorization. Triggers: "DataWorks", "workspace management", "workspace", "member authorization", "role assignment"
Use when someone wants a design system built from the UI an app already ships, or one phase of it, such as “extract tokens from the app”, “add states to our Button”, “replace the hardcoded colors with tokens” or “start a design system”. Moving screens onto an existing system's components is migrate-design-system. A vague whole-app ask goes to design-system-boss.
Safely simplify and maintain a codebase without adding features. Use for cleanup, dead-code removal, deduplication, stale docs, maintainability work, or a comprehensive code-quality audit. Keep narrow requests focused; use the eight-pass workflow only for an explicitly broad sweep.
Detects data integrity issues, including orphaned records, broken foreign key relationships, and constraint violations, and provides automated fix migrations. Use for “data integrity,” “orphaned records,” “broken relationships,” or “data quality.”
Processes GCP infrastructure design and deployment workflows. Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting deployment failures. Don't use for non-GCP cloud providers, or general Terraform coding outside the ADC context.
Use when creating, reviewing, or revising a digital product, full flow, design system, or screen set. It keeps the user-facing core simple across parts, states, access needs, inputs, and screen sizes. Use it for product design, UX, UI, interaction, motion, or design review work.
Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterating up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft).
Pre-production review of a Factorial Code app — clone the workspace read-only, run the static check catalog, classify findings as Blocker/Warning/Suggestion, and write APP_VALIDATION_REPORT.md with a ✅/❌ promotion verdict. Use when validating, reviewing, or auditing a Factorial Code (fcode) app or workspace before a release, or when asked whether an app is ready to ship.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.