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Agent Skills

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hyperflow-design

Hyperflow design phase. Use when designing a UI / visual system or making a screen look good — verbs like "design the UI", "make it look good", "design the screen", "visual design", "design system". Establishes or extends a domain-grounded design system, researches real-world prior art, and renders it slop-free. Thinking and taste, not building.

jeremylongshore
jeremylongshore
2,881425

hyperflow-plan

Hyperflow planning phase. Use when a request needs shaping before code — a rough prompt to sharpen, an ambiguous idea to design, or a clear-enough task to decompose. Verbs like plan, design, brainstorm, explore, "should we", "what's the best way to", scope, decompose, "plan out", "break down", "enhance this prompt". Thinking, not building. Writes an optional spec to .hyperflow/specs/<slug>.md and a task file to .hyperflow/tasks/<slug>.md, then hands off to hyperflow-dispatch.

jeremylongshore
jeremylongshore
2,881425

handoff

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jeremylongshore
jeremylongshore
2,881425

plan

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jeremylongshore
jeremylongshore
2,881425

design

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jeremylongshore
jeremylongshore
2,881425

pr

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jeremylongshore
jeremylongshore
2,881425

beads

Use when working in a repository that uses bd or Beads for durable project task tracking, issue dependencies, blocker management, multi-session handoff, or shared work memory. Trigger when the user asks to find ready work, claim or close tasks, create follow-up work, inspect blockers, recover project context, or choose between local planning and persistent project tracking.

jeremylongshore
jeremylongshore
2,881425

issue

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jeremylongshore
jeremylongshore
2,881425

vue-best-practices

MUST be used for Vue.js tasks. Strongly recommends Composition API with `<script setup>` and TypeScript as the standard approach. Covers Vue 3, SSR, Volar, vue-tsc. Load for any Vue, .vue files, Vue Router, Pinia, or Vite with Vue work. ALWAYS use Composition API unless the project explicitly requires Options API.

github.com/vuejs-ai
github.com/vuejs-ai
2,844166

vue-router-best-practices

Vue Router 4 patterns, navigation guards, route params, and route-component lifecycle interactions.

vuejs-ai
vuejs-ai
2,844166

create-adaptable-composable

Create a library-grade Vue composable that accepts maybe-reactive inputs (MaybeRef / MaybeRefOrGetter) so callers can pass a plain value, ref, or getter. Normalize inputs with toValue()/toRef() inside reactive effects (watch/watchEffect) to keep behavior predictable and reactive. Use this skill when user asks for creating adaptable or reusable composables.

github.com/vuejs-ai
github.com/vuejs-ai
2,844166

vue-pinia-best-practices

Pinia stores, state management patterns, store setup, and reactivity with stores.

vuejs-ai
vuejs-ai
2,844166

vue-testing-best-practices

Use for Vue.js testing. Covers Vitest, Vue Test Utils, component testing, mocking, testing patterns, and Playwright for E2E testing.

vuejs-ai
vuejs-ai
2,844166

vue-debug-guides

Vue 3 debugging and error handling for runtime errors, warnings, async failures, and SSR/hydration issues. Use when diagnosing or fixing Vue issues.

vuejs-ai
vuejs-ai
2,844166

vue-options-api-best-practices

Vue 3 Options API style (data(), methods, this context). Each reference shows Options API solution only.

vuejs-ai
vuejs-ai
2,844166

vue-jsx-best-practices

JSX syntax in Vue (e.g., class vs className, JSX plugin config).

vuejs-ai
vuejs-ai
2,844166

vue-testing-best-practices

Use for Vue.js testing. Covers Vitest, Vue Test Utils, component testing, mocking, testing patterns, and Playwright for E2E testing.

hyf0
hyf0
2,837166

vue-router-best-practices

Vue Router 4 patterns, navigation guards, route params, and route-component lifecycle interactions.

hyf0
hyf0
2,837166

vue-pinia-best-practices

Pinia stores, state management patterns, store setup, and reactivity with stores.

hyf0
hyf0
2,837166

vue-options-api-best-practices

Vue 3 Options API style (data(), methods, this context). Each reference shows Options API solution only.

hyf0
hyf0
2,837166

create-adaptable-composable

Create a library-grade Vue composable that accepts maybe-reactive inputs (MaybeRef / MaybeRefOrGetter) so callers can pass a plain value, ref, or getter. Normalize inputs with toValue()/toRef() inside reactive effects (watch/watchEffect) to keep behavior predictable and reactive. Use this skill when user asks for creating adaptable or reusable composables.

github.com/vuejs-ai
github.com/vuejs-ai
2,837166

vue-best-practices

MUST be used for Vue.js tasks. Strongly recommends Composition API with `<script setup>` and TypeScript as the standard approach. Covers Vue 3, SSR, Volar, vue-tsc. Load for any Vue, .vue files, Vue Router, Pinia, or Vite with Vue work. ALWAYS use Composition API unless the project explicitly requires Options API.

github.com/vuejs-ai
github.com/vuejs-ai
2,837166

vue-debug-guides

Vue 3 debugging and error handling for runtime errors, warnings, async failures, and SSR/hydration issues. Use when diagnosing or fixing Vue issues.

hyf0
hyf0
2,837166

vue-jsx-best-practices

JSX syntax in Vue (e.g., class vs className, JSX plugin config).

hyf0
hyf0
2,837166

convert-web-app

This skill should be used when the user asks to "add MCP App support to my web app", "turn my web app into a hybrid MCP App", "make my web page work as an MCP App too", "wrap my existing UI as an MCP App", "convert iframe embed to MCP App", "turn my SPA into an MCP App", or needs to add MCP App support to an existing web application while keeping it working standalone. Provides guidance for analyzing existing web apps and creating a hybrid web + MCP App with server-side tool and resource registration.

modelcontextprotocol
modelcontextprotocol
2,819379

create-mcp-app

This skill should be used when the user asks to "create an MCP App", "add a UI to an MCP tool", "build an interactive MCP View", "scaffold an MCP App", or needs guidance on MCP Apps SDK patterns, UI-resource registration, MCP App lifecycle, or host integration. Provides comprehensive guidance for building MCP Apps with interactive UIs.

modelcontextprotocol
modelcontextprotocol
2,819379

add-app-to-server

This skill should be used when the user asks to "add an app to my MCP server", "add UI to my MCP server", "add a view to my MCP tool", "enrich MCP tools with UI", "add interactive UI to existing server", "add MCP Apps to my server", or needs to add interactive UI capabilities to an existing MCP server that already has tools. Provides guidance for analyzing existing tools and adding MCP Apps UI resources.

modelcontextprotocol
modelcontextprotocol
2,819379

migrate-oai-app

This skill should be used when the user asks to "migrate from OpenAI Apps SDK", "convert OpenAI App to MCP", "port from window.openai", "migrate from skybridge", "convert openai/outputTemplate", or needs guidance on converting OpenAI Apps SDK applications to MCP Apps SDK. Provides step-by-step migration guidance with API mapping tables.

modelcontextprotocol
modelcontextprotocol
2,819379

alignment-review

Review code changes for bugs and alignment with OpenEnv principles and RFCs. Use when reviewing PRs, checking code before commit, or when asked to review changes. Implements two-tier review model.

meta-pytorch
meta-pytorch
2,818501

openenv-cli

OpenEnv CLI (`openenv`) for scaffolding, validating, building, and pushing OpenEnv environments.

meta-pytorch
meta-pytorch
2,818501

hf-cli

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing repositories, models, datasets, and Spaces on the Hugging Face Hub. Replaces now deprecated `huggingface-cli` command.

meta-pytorch
meta-pytorch
2,818501

deploy-hf

Deploy an OpenEnv environment to Hugging Face Spaces. Use when asked to deploy, push to Hugging Face, or update a space.

meta-pytorch
meta-pytorch
2,818501

generate-openenv-env

Generate OpenEnv environments from a concrete use case (for example, "generate an env for the library textarena"). Use when asked to design or implement a new environment under envs/ by researching a target library/API, selecting matching OpenEnv examples, asking key implementation questions, and building models/client/server/openenv.yaml. Do not use for model training or evaluation tasks.

meta-pytorch
meta-pytorch
2,818501

release

Release workflow for deploying OpenEnv environments to Hugging Face Spaces and keeping canonical references in sync.

meta-pytorch
meta-pytorch
2,818501

simplify

Refactor code after tests pass. The "Refactor" phase of Red-Green-Refactor.

meta-pytorch
meta-pytorch
2,818501

update-docs

Update documentation across the repo after API changes. Finds stale references in docs, examples, docstrings, and fixes them.

meta-pytorch
meta-pytorch
2,818501

watch-pr

Monitor a PR's CI checks and Greptile code review after submission. Polls CI status, auto-fixes failures via ralph-loop, waits for Greptile review, addresses comments, and iterates until green.

meta-pytorch
meta-pytorch
2,818501

hf-space-recovery

Diagnose and recover failing or stuck Hugging Face Space deployments for OpenEnv environments. Use when deploying envs from `envs/` to the Hub (`openenv` namespace with version suffixes), when Spaces are in `BUILDING`/`APP_STARTING`/`RUNTIME_ERROR`, or when release collections need to be reconciled after targeted redeploys.

meta-pytorch
meta-pytorch
2,818501

sprint

Work on a batch of GitHub issues in parallel using Agent Teams. Creates one worktree per issue with TDD enforcement, coordinates via a lead agent, then produces stacked PRs.

meta-pytorch
meta-pytorch
2,818501

write-tests

Write failing tests from requirements. Invoke for each todo before /implement.

meta-pytorch
meta-pytorch
2,818501

work-on-issue

Start work on a GitHub issue. Extracts requirements, creates worktree, sets up TDD workflow.

meta-pytorch
meta-pytorch
2,818501

rfc-check

Determine if proposed changes require an RFC. Use when planning significant changes, before starting major work, or when asked whether an RFC is needed.

meta-pytorch
meta-pytorch
2,818501

pre-submit-pr

Validate changes before submitting a pull request. Run comprehensive checks including lint, tests, alignment review, and RFC analysis. Use before creating a PR, when asked if code is ready for review, or before pushing for PR.

meta-pytorch
meta-pytorch
2,818501

implement

Make tests pass. Invoke after /write-tests produces failing tests.

meta-pytorch
meta-pytorch
2,818501

Context Doctor

Identify and repair degradation in system prompt, external memory, and skills preventing you from following instructions or remembering information as well as you should.

letta-ai
letta-ai
2,814322

acquiring-skills

Discover and install skills from Hermes, ClawHub, GitHub, and other registries. Load this skill whenever a user asks for a capability you don't already have — image generation, social media, email, calendar, finance, DevOps, search, browser automation, etc.

letta-ai
letta-ai
2,814322

adding-models

Guide for adding new LLM models to Letta Code. Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update the model configuration. Covers models.json configuration, CI test matrix, and handle validation.

letta-ai
letta-ai
2,814322

converting-mcps-to-skills

Connect to MCP (Model Context Protocol) servers and create skills for repeated use. Load when a user wants to use an MCP server, connect to external tools via MCP, or when they mention MCP, model context protocol, or specific MCP servers.

letta-ai
letta-ai
2,814322

editing-letta-code-desktop-preferences

Edits Letta Code Desktop (LCD) preferences by safely reading and updating ~/.letta/desktop_preferences.json. Use only when the user asks to change current Desktop/LCD settings such as theme, default working directory, remote access preference, or remote environment name via the preferences JSON.

letta-ai
letta-ai
2,814322

finding-agents

Find other agents on the same server. Use when the user asks about other agents, wants to migrate memory from another agent, or needs to find an agent by name or tags.

letta-ai
letta-ai
2,814322

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.