Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Expert knowledge of Godot Engine game development, including scene creation, node management, GDScript programming, and project structure. Use when working with Godot projects, creating or modifying scenes, adding nodes, writing game scripts, or solving Godot-specific problems.
Add the Shaders WebGPU mouse effect used for the Tidal Commons hero: a white twinkling halftone cursor trail driven by ChromaFlow, masked through a DotGrid, finished with chromatic ripples and film grain, and protected by static, touch, accessibility, SSR, and performance fallbacks. Use when a user asks for this shader mouse effect, a halftone cursor trail, an interactive WebGPU hero/contact background, or a reusable cursor-following shader layer in React, Next.js, Vue, Svelte, Solid, or plain web projects.
Creates, updates, validates, and displays the architectural DNA of a project through two shared documents: docs/specs/architecture.md (technology stack, architectural rules, security constraints, AI guardrails) and docs/specs/ontology.md (domain glossary / Ubiquitous Language). Use BEFORE brainstorm as a project setup step, or at any point in the SDD lifecycle to validate specs/tasks against architecture principles. Triggers on 'create constitution', 'update constitution', 'constitution check', 'validate against constitution', 'project principles', 'architectural guardrails', 'setup project architecture', 'define ontology'.
Triages a repository's open GitHub issues and pull requests via the gh CLI. Optionally reviews and merges ready PRs — incrementally merging passing automated/bot PRs and maintainer-approved ones, and spawning review subagents for never-reviewed ones — then closes already-resolved issues with comments citing the resolving PR or commit, cross-links issues with their pending fix PRs, and assigns local-only priority and change-size estimates for everything outstanding. Use when triaging, grooming, or reviewing a repository's open issues and PRs.
CodeStable entry point. Trigger when the user calls cs, wants to discuss or align first, learn about the system, asks which skill to use, or states a need without choosing an entry point. For an explicit action request, hand off in the same turn; for discussion-first requests, hand off in the same turn once the discussion is resolved.
Lightpanda browser, a drop-in replacement for Chrome-based browsing in any AI agent — faster and lighter for tasks without graphical rendering, such as data retrieval. Use it via MCP server, CLI fetch, or CDP with Playwright/Puppeteer — or run/save automations as deterministic, token-free replay scripts (PandaScript) via its own agent mode.
Use when writing or fixing Unreal Engine UI in C++ — UMG user widgets, Slate widgets, Common UI screens, or MVVM view models. Also use when the user mentions 'UUserWidget', 'NativeConstruct', 'BindWidget', 'CreateWidget', 'AddToViewport', 'ESlateVisibility', 'OnClicked', 'UListView', 'widget animation', 'SNew', 'SLATE_BEGIN_ARGS', 'SCompoundWidget', 'UCommonActivatableWidget', 'activatable widget stack', 'UCommonButtonBase', 'gamepad focus', 'FUIInputConfig', 'UMVVMViewModelBase', 'FieldNotify', or 'WidgetComponent'. For input modes and Enhanced Input, see ue-input-system; for Slate in editor tooling, see ue-editor-tools.
Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.
Find the mistakes agents keep repeating in this repo and make each one impossible. Try architecture first, then types, then a lint whose error names the fix, then a test, and write docs last. Prove each check fails on a real past mistake. Repeat this each time the operator corrects you. Use for /correct.
Builds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs
Selects bounded, graph-informed source slices with Trailmark and delegates focused code analysis or patch-proposal work to a smaller subagent. Use when offloading function-, class-, caller-, callee-, call-path-, entrypoint-, or line-focused code tasks to constrained or locally hosted models without exposing the full repository.
Official GitHub documentation (docs.github.com). REST API, GraphQL, Webhooks, GitHub Apps, OAuth Apps, gh CLI, PAT / GITHUB_TOKEN, Actions (jobs, steps, expressions, workflow commands, concurrency, OIDC, artifact attestations, lockfile), pull requests, issues, Projects v2, immutable releases, Codespaces, Packages, Copilot API / cloud agent, code scanning, secret scanning, Dependabot, Dependency graph / SBOM, Teams, Billing, activity (events / notifications)
Implements approved specification proposals by working through tasks sequentially with testing and validation. Use when implementing changes, applying proposals, executing spec tasks, or building from approved plans. Triggers include “openspec implement,” “implement,” “apply change,” “execute spec,” “work through tasks,” “build feature,” “start implementation”
Build MCP servers in Python with FastMCP. Define tools / resources / prompts, build the server, test locally, deploy to FastMCP Cloud or Docker. Use whenever the user mentions building an MCP server, exposing tools to LLMs, FastMCP, building a Claude integration, or troubleshooting FastMCP module-level server, storage, lifespan, middleware, OAuth, or deployment errors.
Use this skill whenever the user wants to analyze binaries with radare2/r2 from the command line, including reverse engineering, disassembly, function analysis, strings/import inspection, patching, binary diffing, hex inspection, or r2 scripting. Also use it when the user mentions PE/ELF/Mach-O/DEX/WASM files together with CLI analysis, `rabin2`, `rasm2`, `radiff2`, `r2pipe`, or asks for radare2 command help on Windows/Linux/macOS.
Scaffold and deploy Cloudflare Workers with Hono routing, Vite plugin, and Static Assets. Describe project, scaffold structure, configure bindings, deploy. Use whenever the user wants to create a Worker project, set up Hono on Cloudflare, configure D1 / R2 / KV / Queues bindings, or troubleshoot Worker export syntax, API route conflicts, HMR issues, or deployment failures.
For platform users (developers who build using workflow models on acomo). Covers standard use of the acomo CLI and public API (model retrieval, process operations, and authentication). Does not cover acomo's internal implementation. Refer to it when using the acomo CLI, operating workflows or processes, or checking model definitions.
Use when a developer wants to build their first CopilotKit Channels agent and get it answering in Slack or Microsoft Teams: "set up a channel", "connect my agent to Slack", "get my agent into Teams", or starting from nothing and wanting a working channel end to end. Covers the whole path: inspecting or scaffolding the project, building the AG-UI agent, creating and reconciling the managed Channel with the public CopilotKit CLI, running the long-running host, and proving a real provider mention gets a reply. The workflow is not in this file. Run `npx --yes copilotkit@latest onboard start` and follow the graph it prints.
Guided journey from a working codebase grown slow and tangled to one measurably fast, cleanly bounded, and readable. Orchestrates eight skills phase by phase - working-with-legacy-code, clean-architecture, software-design-philosophy, refactoring-patterns, system-design, ddia-systems, release-it, pragmatic-programmer - every phase carries its method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (PERFORMANCE.md, ARCHITECTURE.md, ARCHITECTURE-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to make an app faster, untangle drifted boundaries, fix slow endpoints and queries, or says ''it works but it is slow and getting worse''. For an untested prototype, improve-code-quality; for an aged codebase you fear to touch, remove-technical-debt; for greenfield structure, design-code-architecture; for marketing-site page speed, improve-website. For one framework in isolation, invoke that skill directly.
Scaffold, build, and package SwiftPM-based macOS apps without an Xcode project. Use when you need a from-scratch macOS app layout, SwiftPM targets/resources, a custom .app bundle assembly script, or signing/notarization/appcast steps outside Xcode.
Fullstack development toolkit with project scaffolding for Next.js, FastAPI, MERN, and Django stacks, code quality analysis with security and complexity scoring, and stack selection guidance. Use when the user asks to "scaffold a new project", "create a Next.js app", "set up FastAPI with React", "analyze code quality", "audit my codebase", "what stack should I use", "generate project boilerplate", or mentions fullstack development, project setup, or tech stack comparison.
Triage complet RTK : exécute issue-triage + pr-triage en parallèle, puis croise les données pour détecter doubles couvertures, trous sécurité, P0 sans PR, et conflits internes. Sauvegarde dans claudedocs/RTK-YYYY-MM-DD.md. Args: "en"/"fr" pour la langue (défaut: fr), "save" pour forcer la sauvegarde.
Use this skill when the user asks what information a Stripe Connect connected account must provide for verification, onboarding, KYC, or account requirements; when they need to compare requirements between connected-account setups; or when they ask which verification fields, documents, or business details are required for a particular platform country, account country, business type, dashboard, service agreement, or capability.
Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.
Salesforce integration architecture with 120-point scoring. Trigger when the user sets up Named Credentials, External Services, REST/SOAP callouts, Platform Events, CDC, or touches .namedCredential-meta.xml files. Do not trigger for Connected App/OAuth configuration (use sf-connected-apps), Apex-only logic (use sf-apex), or data import/export (use sf-data).
Integration patterns for Mapbox MCP Server in AI applications and agent frameworks. Covers runtime integration with pydantic-ai, mastra, LangChain, and custom agents. Use when building AI-powered applications that need geospatial capabilities.
Designs or reviews CLIs so coding agents can run them reliably: non-interactive flags, layered --help with examples, stdin/pipelines, fast actionable errors, idempotency, dry-run, and predictable structure. Use when building a CLI, adding commands, writing --help, or when the user mentions agents, terminals, or automation-friendly CLIs.
Add accessible animated AI loading and agent-status indicators with the React thinking-orbs library. Use when a chat, copilot, voice, search, generation, or tool-running interface needs a semantic working, searching, solving, listening, composing, or shaping state; when replacing a generic spinner with an AI activity orb; or when implementing the library's size, theme, speed, pause, reduced-motion, and canvas behavior.
Generate framework-aware code from a Figma design. Read the project’s stack profile and emit code that matches its existing framework (React/Vue/Svelte/Next/etc.) and styling (Tailwind/CSS/CSS-in-JS), reusing existing components and design tokens instead of starting from scratch. Trigger whenever the user wants a Figma design turned into code—for example, “code this design,” “implement this frame,” “build this screen/component,” “turn this Figma into React/Vue,” or “convert this design to code”—or when a Figma URL or current Figma selection appears alongside a coding request. Works for full screens, single sections, or individual components.
Customer Relationship Management (CRM) vertical skill for the Customware SPA. Defines the section layout, entity views, and mapping rules for transforming a DOMAIN.md into a CRM tool. Use when the Builder Agent classifies a customer's domain as contact management, sales pipeline, deal tracking, or customer relationship workflows. Trigger signals: contacts, leads, deals, pipeline, follow-ups, opportunities, accounts, customer data everywhere, can't track who talked to whom, sales process, referrals.
Write code with the official Fish Audio SDKs, Python (`fishaudio`, PyPI `fish-audio-sdk`) and JavaScript/TypeScript (`fish-audio`). Use when the user wants text-to-speech, speech-to-text, voice cloning / voice-model management, or realtime WebSocket TTS through the installed SDK rather than raw HTTP. Covers install and auth, sync + async Python, the TypeScript client, exact method signatures and defaults, model selection (including the S2.1 typing caveat), the real exception types, and the Python↔JavaScript naming differences. For raw REST/WebSocket calls without an SDK (curl, unsupported languages, edge runtimes), use the `fish-audio-api` skill instead
Use for questions about how, why, or where behavior works in a repository, including questions that name a function or setting. Start behavioral discovery with jg before broad text searches or git history. When delegating repository discovery, instruct the subagent to start with jg. Jevgrep returns relevant files and source excerpts. For exact symbol definitions, string matches, or filenames, use grep or file search instead.
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.