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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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tri-ai-collaboration

Complete development workflows where Claude writes the code while Gemini and Codex provide research, planning, reviews, and different perspectives. Claude remains the main developer. Use for complex projects requiring expert planning and multi-perspective reviews.

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todo-management

Systematic progress tracking for skill development. Manages task states (pending/in_progress/completed), updates in real-time, reports progress, identifies blockers, and maintains momentum. Use when tracking skill development, coordinating work, or reporting progress.

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testing-workflow

Comprehensive testing workflow orchestrating functional testing, example validation, integration testing, and usability assessment. Sequential workflow for complete skill testing from examples through scenarios to integration validation. Use when conducting thorough testing, pre-deployment validation, ensuring skill functionality, or comprehensive quality checks.

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testing-validator

Comprehensive testing validation for Claude Code skills through functional testing, example validation, integration testing, regression testing, and edge case testing. Task-based testing operations with automated example execution, manual scenario testing, and test reporting. Use when testing skill functionality, validating examples execute correctly, ensuring integration works, preventing regressions, or conducting comprehensive functional quality assurance.

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supabase-api

Supabase JavaScript client API and REST API usage. Use when integrating Supabase, setting up clients, or using REST endpoints directly.

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terraform-aws

Comprehensive AWS infrastructure management with Terraform. Covers provider configuration, state management (S3 backend with native locking in Terraform 1.11+), common resource patterns (VPC, IAM, S3, RDS, EKS), module usage, and production best practices. Use when provisioning AWS infrastructure, managing Terraform state, creating VPCs, configuring IAM roles/policies, deploying databases, or troubleshooting Terraform/AWS issues.

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terra-webhooks

Terra API webhook handling for real-time health data. Use when setting up webhook endpoints, verifying signatures, handling events, or debugging webhook issues.

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supabase-database

Supabase database operations including queries, CRUD operations, RLS policies, and PostgreSQL functions. Use when querying tables, managing data, implementing RLS, or writing database functions.

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terra-auth

Terra API authentication, credentials management, and environment configuration. Use when setting up Terra integration, managing API keys, generating widget sessions, or configuring testing/staging/production environments.

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supabase-realtime

Supabase Realtime for live subscriptions, broadcasts, and presence. Use when implementing real-time features, live updates, chat, or online presence tracking.

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supabase-storage

Supabase Storage for file uploads, downloads, buckets, and signed URLs. Use when uploading files, managing storage buckets, generating signed URLs, or handling images.

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supabase-troubleshooting

Troubleshoot common Supabase issues including auth errors, RLS policies, connection problems, and performance. Use when debugging Supabase issues, fixing errors, or optimizing performance.

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system-reviewer

Review the skill development ecosystem itself - assess ecosystem health, identify systemic issues, evaluate toolkit effectiveness, and recommend system-level improvements. Task-based operations for ecosystem assessment, toolkit evaluation, process review, and system optimization. Use when evaluating ecosystem health, identifying systemic improvements, optimizing the toolkit itself, or conducting meta-level ecosystem reviews.

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terra-troubleshooting

Terra API troubleshooting and debugging. Use when experiencing connection issues, data sync problems, webhook failures, SDK errors, or provider-specific issues.

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supabase-functions

Supabase Edge Functions development and deployment using Deno runtime. Use when creating serverless functions, webhooks, API endpoints, or scheduled tasks.

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test-observability

Integrate Playwright tests with OpenTelemetry, Grafana, Prometheus, Loki, and Tempo. Use when debugging test failures across distributed systems, measuring test performance, creating test dashboards, or correlating tests with backend traces.

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terraform-eks

Provision production-ready AWS EKS clusters with Terraform. Covers cluster configuration, managed node groups, Fargate profiles, IRSA, EKS add-ons (CoreDNS, kube-proxy, VPC CNI, EBS CSI), VPC integration, and security best practices. Use when provisioning EKS, setting up Kubernetes on AWS, configuring node groups, implementing IRSA, or managing EKS infrastructure as code.

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spec-builder

Interactive specification builder for autonomous coding projects. Use when users have vague ideas, need help defining requirements, want to create project specs, or before running autonomous-master.

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terra-sdk

Terra SDK integration for Python, JavaScript, iOS, Android, React Native, and Flutter. Use when implementing Terra in applications, choosing SDKs, or integrating mobile health sources.

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terra-data

Terra API health data retrieval and management. Use when fetching activity, sleep, body, daily, nutrition, menstruation, or athlete data from wearables.

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terra-connections

Terra API device and provider connections. Use when connecting users to wearables (Fitbit, Garmin, Apple Health, Oura, WHOOP), managing user sessions, or handling disconnections.

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supabase-auth

Setup and manage Supabase authentication including project connection, tokens, login methods, and user management. Use when configuring Supabase access, implementing authentication, or managing users.

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terraform-ecs

Provision production-ready AWS ECS clusters with Terraform. Covers cluster configuration, Fargate and EC2 launch types, task definitions, services, load balancer integration, auto-scaling, and deployment strategies. Use when provisioning ECS, setting up container orchestration on AWS, configuring Fargate services, or managing ECS infrastructure as code.

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task-development

Break down skill development into concrete tasks with time estimates, dependencies, and validation criteria. Creates actionable task lists, identifies blockers, estimates effort, and sequences work optimally. Use when planning skill implementation, managing complex builds, or coordinating parallel work.

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tdd-workflow

Test-Driven Development workflow for autonomous coding. Use when implementing features with TDD, writing tests first, following red-green-refactor, or ensuring test coverage.

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stagehand-automation

AI-powered browser automation using Stagehand v3 and Claude. Use when building self-healing tests, AI agents, dynamic web automation, or when traditional selectors break frequently due to UI changes.

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supabase-cli

Supabase CLI commands for local development, migrations, project management, and deployment. Use when working with Supabase CLI, starting local dev, managing migrations, or deploying changes.

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boto3-ecs

AWS Boto3 SDK patterns for Amazon ECS cluster management, task definitions, services, and Fargate deployments. Use when working with ECS clusters, managing task definitions, deploying services, running one-off tasks, monitoring deployments, or integrating ECS with Python applications.

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best-practices-learner

Extract learnings and best practices from skill development experience, review findings, and pattern analysis. Task-based operations for pattern extraction, learning documentation, guideline updates, knowledge sharing, and continuous improvement. Use when extracting learnings from completed skills, updating best practices, improving development process, or feeding continuous improvement cycle.

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codex-auth

Setup and manage OpenAI Codex CLI authentication including ChatGPT Plus/Pro OAuth, API keys, and multi-account management. Use when configuring Codex access, switching accounts, or troubleshooting authentication.

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bedrock-prompts

Amazon Bedrock Prompt Management for creating, versioning, and managing prompt templates with variables, multi-variant A/B testing, and flow integration. Use when creating reusable prompt templates, managing prompt versions, implementing A/B testing for prompts, integrating prompts with Bedrock Flows, optimizing prompt engineering, or building production prompt catalogs.

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bedrock-knowledge-bases

Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retrieve and generate APIs, manage sessions. Use when building RAG applications, implementing semantic search, creating document Q&A systems, integrating knowledge bases with agents, optimizing chunking for accuracy, or querying enterprise knowledge.

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bedrock-inference

Amazon Bedrock Runtime API for model inference including Claude, Nova, Titan, and third-party models. Covers invoke-model, converse API, streaming responses, token counting, async invocation, and guardrails. Use when invoking foundation models, building conversational AI, streaming model responses, optimizing token usage, or implementing runtime guardrails.

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bedrock-guardrails

Comprehensive Amazon Bedrock Guardrails implementation for AI safety with 6 safeguard policies (content filters, PII redaction, topic denial, word filters, contextual grounding, automated reasoning). Use when implementing content moderation, detecting prompt attacks, preventing hallucinations, protecting sensitive data, enforcing compliance policies, or securing generative AI applications with mathematical verification.

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bedrock-flows

Build visual AI workflows with Amazon Bedrock Flows. Create flows with prompt nodes, knowledge bases, Lambda, inline code, condition branching, iterators, collectors, and DoWhile loops. Version management, aliases, deployment. Use when building multi-step AI workflows, orchestrating models and services, creating condition-based routing, implementing iterative processing, or deploying production AI pipelines.

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bedrock-fine-tuning

Amazon Bedrock Model Customization with fine-tuning, continued pre-training, reinforcement fine-tuning (NEW 2025 - 66% accuracy gains), and distillation. Create customization jobs, monitor training, deploy custom models, and evaluate performance. Use when customizing Claude, Titan, or other Bedrock models for domain-specific tasks, adapting to proprietary data, improving accuracy on specialized workflows, or distilling large models to smaller ones.

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bedrock-automated-reasoning

Amazon Bedrock Automated Reasoning for mathematical verification of AI responses against formal policy rules with up to 99% accuracy. Use when validating healthcare protocols, financial compliance, legal regulations, insurance policies, or any domain requiring deterministic verification of AI-generated content.

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bedrock-agents

Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.

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bedrock-agentcore

Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.

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bedrock-agentcore-policy

Amazon Bedrock AgentCore Policy for defining agent boundaries using natural language and Cedar. Deterministic policy enforcement at the Gateway level. Use when setting agent guardrails, access control, tool permissions, or compliance rules.

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autonomous-session-manager

Session lifecycle management for autonomous coding. Use when starting new coding sessions, resuming work, detecting session type (init vs continue), or managing auto-continuation between sessions.

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bedrock-agentcore-deployment

Amazon Bedrock AgentCore deployment patterns for production AI agents. Covers starter toolkit, direct code deploy, container deploy, CI/CD pipelines, and infrastructure as code. Use when deploying agents to production, setting up CI/CD, or managing agent infrastructure.

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bedrock-agentcore-evaluations

Amazon Bedrock AgentCore Evaluations for testing and monitoring AI agent quality. 13 built-in evaluators plus custom LLM-as-Judge patterns. Use when testing agents, monitoring production quality, setting up alerts, or validating agent behavior.

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bedrock-agentcore-multi-agent

Amazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orchestrating specialized agents, or implementing complex workflows.

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skill-reviewer

Identify improvement opportunities in Claude Code skills through targeted review operations. Complements review-multi by focusing on actionable improvements rather than scoring. Use when seeking specific improvements, conducting improvement-focused reviews, or identifying enhancement opportunities for existing skills.

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skill-tester

Test Claude Code skills in real-world scenarios to validate functionality, usability, and effectiveness. Task-based testing operations for scenario testing, example validation, integration testing, and usability assessment. Use when testing skill functionality, validating examples work correctly, ensuring real-world effectiveness, or conducting scenario-based quality assurance.

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skill-updater

Apply improvements to Claude Code skills systematically. Workflow for planning updates, implementing changes, validating improvements, and documenting changes. Use when applying review recommendations, updating skills based on feedback, enhancing existing skills, or implementing systematic improvements across multiple skills.

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skill-validator

Ensure Claude Code skills meet quality standards through validation operations for structure, content, patterns, and production readiness. Task-based validation with pass/fail criteria, automated checks, and compliance reporting. Use when validating skills before deployment, ensuring standards compliance, certifying production readiness, or quality gating skill releases.

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skill-evolution-tracker

Track skill changes, improvements, and evolution over time. Task-based operations for version tracking, change documentation, impact measurement, and evolution analysis. Use when tracking skill versions, documenting changes over time, measuring improvement impact, or analyzing how skills evolved.

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calculator

Simple calculator for basic arithmetic operations (addition, subtraction, multiplication, division). Use when performing calculations, converting units, or working with numbers.

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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.