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zod-schema-validation

Best practices for Zod schema validation and type inference in TypeScript applications.

mindrally
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zustand-state-management

Best practices for Zustand state management in React and TypeScript applications, covering store design, selectors, middleware, SSR, and testing. Use when creating or refactoring Zustand stores, deciding whether state belongs in Zustand vs component state vs a server-state library, optimizing selector re-renders, adding persist/devtools/immer middleware, or handling Zustand with SSR/React Server Components.

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pr-review

Focused pull request review practices with severity-ranked, file-and-line-cited findings across four angles: security, performance, tests, and architecture. Use when asked to review a pull request, review a diff or set of changes, review \"this PR,\" or provide a code review before merge.

mindrally
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pyspark-etl

Best practices for building performant, testable PySpark ETL pipelines with Spark SQL and Apache Iceberg. Use when writing or reviewing PySpark jobs, designing joins and window functions, working with map/array higher-order functions, or building idempotent cumulative/snapshot table merges.

mindrally
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react-router-v7

React Router v7 framework mode conventions for route modules, data loaders, actions, and progressive enhancement. Use when building file-based routes with loaders/actions, handling form submissions with Form/useFetcher/useSubmit, adding route ErrorBoundary components, revalidating data after mutations, or migrating Remix-style route modules to React Router v7.

mindrally
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readme-best-practices

Structure, tone, and content conventions for writing effective project README files, covering hooks, quick starts, feature presentation, badges, and common documentation sections. Use when writing a new README, rewriting an existing one, or reviewing README quality for a repository, library, or CLI tool.

mindrally
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25941

ros2-robotics

Best practices for ROS 2 robotics development, covering package structure, nodes, topics/services/actions, launch files, QoS, tf2 transforms, and testing. Use when creating ROS 2 packages, writing nodes in rclpy or rclcpp, defining custom messages/services/actions, writing launch files, configuring QoS profiles, working with tf2 transforms, or building and testing a colcon workspace.

mindrally
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25941

rtl-internationalization

Right-to-left (RTL) layout and bidirectional text support for Hebrew, Arabic, Persian, and Urdu interfaces. Use when building UI that must support RTL languages, converting physical CSS/Tailwind properties to logical ones, handling mixed-direction (bidi) text, mirroring directional icons, or testing an app with dir=\"rtl\".

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security-devsecops

DevSecOps, secure software development lifecycle (SSDLC), and application security (AppSec) practices covering secret handling, input validation, dependency hygiene, authentication/authorization, and CI/CD security tooling (SAST, SCA, DAST, secret scanning, IaC scanning). Use when writing code that handles credentials, user input, database queries, or authentication, when setting up a CI/CD pipeline, or when reviewing code or infrastructure for security issues.

mindrally
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25941

snowflake-cortex-ai

Reference for Snowflake Cortex AI Functions (AI_COMPLETE, AI_CLASSIFY, AI_EXTRACT, AI_FILTER, etc.) and Cortex Search for building RAG applications entirely inside Snowflake. Use when writing SQL that calls an LLM, classifying or extracting structured data from text, building a natural-language WHERE filter, or setting up hybrid vector+keyword search for retrieval-augmented generation.

mindrally
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25941

snowflake-data-engineering

Best practices for Snowflake SQL, semi-structured data, and data pipelines built with Dynamic Tables, Streams, Tasks, and Snowpipe. Use when writing Snowflake SQL, designing ingestion or transformation pipelines, tuning warehouse performance and cost, or working with Time Travel, cloning, RBAC, or Iceberg tables on Snowflake.

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snowflake-snowpark-dbt

Best practices for Snowpark Python (DataFrames, UDFs, UDTFs, stored procedures) and dbt with the dbt-snowflake adapter. Use when writing server-side Snowpark pipelines, registering UDFs or stored procedures, choosing dbt materializations, configuring incremental models, or setting up sources and tests for a Snowflake-backed dbt project.

mindrally
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25941

tanstack-router

Type-safe, file-based routing for React with TanStack Router. Use when defining routes with createFileRoute, validating search params with Zod, writing route loaders, setting up auth guards with beforeLoad, integrating TanStack Query into loaders, or configuring router context and preloading.

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25941

tanstack-start

Best practices for TanStack Start, the full-stack React framework built on TanStack Router and Vite/Nitro. Use when building server functions with createServerFn, setting up SSR and streaming with defer()/Await, writing API routes, configuring app.config.ts, or deploying a TanStack Start app to Node, Vercel, Netlify, Bun, or Cloudflare.

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25941

tensorflow-deep-learning

Best practices for building, training, evaluating, and deploying neural networks with TensorFlow and Keras. Use when writing tf.data input pipelines, defining or training a Keras model, configuring callbacks for checkpointing and early stopping, evaluating a trained model, or exporting a model for serving.

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vue-pinia

Vue 3 state management with Pinia using the Composition API, covering setup stores, SSR/Nuxt integration, persistence, and testing. Use when creating or refactoring Pinia stores, deciding what state belongs in a store versus a component, wiring stores into router guards, persisting store state to storage, or testing store actions with @pinia/testing.

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automl-hyperparameter-optimization

Best practices for AutoML and hyperparameter search with Optuna, Ray Tune, and PyCaret, covering search-space design, validation splits, and leakage prevention. Use when tuning model hyperparameters, setting up a pruned or distributed hyperparameter search, designing a nested validation scheme, or evaluating whether an AutoML leaderboard result is production-ready.

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blender-python-addon

Best practices for writing Blender Python add-ons using the bpy API, covering operators, panels, properties, registration, and API-safe scripting. Use when creating a Blender add-on, defining bpy.types.Operator or Panel classes, registering PropertyGroup settings, writing register()/unregister() functions, working with bmesh, or debugging add-ons in Blender's Python console.

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clean-code

Clean, maintainable, human-readable code principles combined with anti-over-engineering discipline: naming, single responsibility, DRY, and scoping changes to exactly what was requested. Use when writing new code, refactoring existing code, reviewing code for quality, or deciding how much abstraction a change actually needs.

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25941

embedded-stm32

Best practices for embedded C/C++ development on STM32 microcontrollers using the HAL, covering peripherals, DMA, interrupts, memory constraints, and hardware-focused testing. Use when writing STM32 HAL code, configuring peripherals generated by STM32CubeMX, working with interrupts or DMA, debugging with SWD/JTAG, managing memory-constrained firmware, or writing hardware-in-the-loop or host-build tests for embedded C.

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fortran

Best practices for modern Fortran (2003/2008+) scientific and numerical computing, covering modules, explicit interfaces, kind parameters, memory safety, and testing. Use when writing or reviewing Fortran source (.f90/.f95/.f03/.f08), defining modules and derived types, choosing numeric kind parameters, working with allocatable arrays, setting up a Fortran build with CMake or fpm, or writing unit tests for numerical code.

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gamemaker-gml

Best practices for GameMaker Language (GML) development, covering scripts, object events, rooms, data structures, and performance-minded game code. Use when writing GML scripts or object event code in GameMaker Studio, structuring create/step/draw events, managing rooms and instances, building state machines for gameplay, or optimizing GML for performance.

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gitflow

Branching, merging, versioning, and release conventions for the Gitflow workflow, covering main/develop branches, feature/release/hotfix branches, semantic versioning, and pull request rules. Use when creating a branch, naming a branch, planning a release or hotfix, writing a commit message, or setting up branch protection for a repository that follows Gitflow.

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google-adk

Best practices for building AI agents with Google's Agent Development Kit (ADK) in Python, covering agent design, tools, sessions, memory, artifacts, evaluation, and deployment. Use when building LLM agents or multi-agent systems with ADK, defining ADK tools, wiring up sessions/state/memory, working with ADK artifacts, writing agent evals, or deploying ADK agents to Vertex AI Agent Engine or Cloud Run.

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harmony-arkts

Best practices for HarmonyOS application development with ArkTS and ArkUI, covering components, state management, resources, layout, lifecycle, and accessibility. Use when writing .ets component files, using ArkUI decorators like @Component/@State/@Prop/@Link, building layouts with Column/Row/Stack/List, managing HarmonyOS app resources with $r(), or handling component lifecycle and accessibility on HarmonyOS.

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medusa-development

Best practices for building commerce applications with Medusa v2, the headless e-commerce framework. Use when defining Medusa data models, writing workflows and steps with the Workflow SDK, creating API routes or subscribers, building module services that extend MedusaService, throwing MedusaError, or customizing the Medusa admin dashboard.

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network-troubleshooting

Systematic, safety-first diagnosis of developer network failures such as connection refused, DNS resolution errors, TLS certificate problems, proxy failures, and package registry timeouts. Use when a command fails with a network-shaped error (curl, npm, pip, git, docker), when a service is unreachable, or when the user asks to debug connectivity, DNS, TLS, or proxy issues.

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0-finance-cli

Keep the 0 Finance CLI aligned with product capabilities.

different-ai
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aws-ses-inbound

Set up AWS SES for receiving inbound emails with SNS webhook delivery

different-ai
different-ai
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ben-agent-email

Canonical Resend inbox for ben-agent@zerofinance.ai

different-ai
different-ai
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browser-automation

Reliable, composable browser automation using minimal OpenCode Browser primitives.

different-ai
different-ai
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company-admin

Access and update company administrative information stored in Notion

different-ai
different-ai
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debug prod issues

Debug production issues on Vercel using logs, database inspection, and proper deployment waiting

different-ai
different-ai
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linkedin-post

Draft high-performing LinkedIn posts using learnings from tweet performance data and 0 Finance messaging guidelines

different-ai
different-ai
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self-improve

Update skill documentation and extend OpenCode capabilities based on learnings

different-ai
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skill-authoring

Create and register new OpenCode skills in this repo

different-ai
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skill-creator

Create new OpenCode skills with valid SKILL.md frontmatter.

different-ai
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skill-reinforcement

Always and Automatically improve skills after each use by capturing learnings and anti-patterns

different-ai
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testability

Make features testable by design. Testing pyramid from fast (local) to slow (UI). Expose APIs securely for testing.

different-ai
different-ai
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test-staging-branch

Test feature branches on Vercel preview deployments using Chrome automation and Gmail OTP

different-ai
different-ai
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tweet-rl-tracker

Create and manage a Notion-based tweet performance tracking system for "poor man's reinforcement learning"

different-ai
different-ai
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vercel-dns

Manage DNS records for domains hosted on Vercel using the Vercel CLI

different-ai
different-ai
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video-subtitle-cutter

Transcribe video, analyze subtitles with AI, and cut video by removing filler words, pauses, and mistakes

different-ai
different-ai
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workspace-guide

Workspace guide to introduce OpenWork and onboard new users.

different-ai
different-ai
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writing-style

Clean up text while preserving the writer's voice - minimal edits only

different-ai
different-ai
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youtube-rl-tracker

Track YouTube video performance for "poor man's reinforcement learning" - learn what thumbnails, titles, and hooks work

different-ai
different-ai
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asking-clarifying-questions

Use after initial design context is gathered, before brainstorming - resolves contradictions in requirements, disambiguates terminology, clarifies scope boundaries, and verifies assumptions to prevent building the wrong solution

ed3dai
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brainstorming

Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and incremental validation

ed3dai
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coding-effectively

ALWAYS use this skill when writing or refactoring code. Includes context-dependent sub-skills to empower different coding styles across languages and runtimes.

ed3dai
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creating-an-agent

Use when creating specialized subagents for Claude Code plugins or the Task tool - covers description writing for auto-delegation, tool selection, prompt structure, and testing agents

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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.