Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
45,100 skills from 2,196 repositories · updated 7 hours ago
45,098 skills
- godot-gdscript-patternswshobson/agentsMaster Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices.OtherNo warnings★ 41.7K↓ —
- gke-service-networkinggoogle/skillsConfigures GKE edge networking, traffic routing, load balancing, and private service endpoints. Use when configuring Gateway API manifests, standard Ingress, Cloud Armor WAF security policies, Container-Native Load Balancing (NEGs), Private Service Connect (PSC), or Google-managed SSL certificates on GKE, and to troubleshoot Ingress and load-balancer 502/5xx errors, backend health-check failures, connection draining, and TLS/SSL policy enforcement. Don't use for core cluster IP planning, Dataplane V2 network policies, or node NAT egress (use gke-networking instead).OfficialSecurityNo warnings★ 21.6K↓ —
- desk-opengithub/awesome-copilotCreate and open a new desk in the workshop. Sets up the folder structure, initial journal, and desk identity so the next session that sits down finds the trail.OtherNo warnings★ 40.4K↓ —
- desk-journalgithub/awesome-copilotWrite, append, or read desk journal entries. The journal is persistent memory — what survives session boundaries. A good entry has: what was done, current state, next step.WritingNo warnings★ 40.4K↓ —
- angular-migrationwshobson/agentsMigrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.PlanningNo warnings★ 41.7K↓ —
- ml-pipeline-workflowwshobson/agentsBuild end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.ProductivityNo warnings★ 41.7K↓ —
- create-tldr-pagegithub/awesome-copilotCreate a tldr page from documentation URLs and command examples, requiring both URL and command name.OtherNo warnings★ 40.4K↓ —
- breakdown-epic-pmgithub/awesome-copilotPrompt for creating an Epic Product Requirements Document (PRD) for a new epic. This PRD will be used as input for generating a technical architecture specification.PlanningNo warnings★ 40.4K↓ —
- architecture-patternswshobson/agentsImplement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.PlanningNo warnings★ 41.7K↓ —
- hf-memsickn33/agentic-awesome-skillsHugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face HubEngineeringNo warnings★ 48.5K↓ —
- infinitysickn33/agentic-awesome-skillsEnforces a strict input boundary protocol (detect, classify, filter, verify) to ensure untrusted data never reaches business logic raw.OtherNo warnings★ 48.5K↓ —
- gcloudgoogle/skillsProvides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure. Use when planning, generating, constructing, proposing, describing, or executing any gcloud CLI commands - including when answering questions about gcloud syntax, or formatting flags. Don't use when writing Google Cloud client library code or raw REST/gRPC API requests.OfficialDevOpsNo warnings★ 21.6K↓ —Also in 1 other repo
- hf-mcpsickn33/agentic-awesome-skillsUse Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.OtherNo warnings★ 48.5K↓ —
- threat-mitigation-mappingwshobson/agentsMap identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.SecurityNo warnings★ 41.7K↓ —
- turborepo-cachingwshobson/agentsConfigure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.OtherNo warnings★ 41.7K↓ —
- backtesting-frameworkswshobson/agentsBuild robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.DevOpsNo warnings★ 41.7K↓ —
- social-evidence-researchwshobson/agentsResearch public discussion on social platforms and keep every report claim tied to the source material that supports it. Use when researching or comparing how a product, event, or topic is discussed across social platforms or supplied social exports, when turning search results into a cited report, or when auditing a social research report for discovery-only evidence, double-counted reposts, misattributed comments, claims that go beyond the sample, or hidden access gaps.ScienceNo warnings★ 41.7K↓ —
- python-project-structurewshobson/agentsPython project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.EngineeringNo warnings★ 41.7K↓ —
- squirrelsickn33/agentic-awesome-skillsFull-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.TestingNo warnings★ 48.5K↓ —
- service-mesh-observabilitywshobson/agentsImplement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.DevOpsNo warnings★ 41.7K↓ —
- c4-codesickn33/agentic-awesome-skillsExpert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure.EngineeringNo warnings★ 48.5K↓ —
- market-sizing-analysiswshobson/agentsCalculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies. Use this skill when sizing markets, estimating addressable revenue, validating market opportunity for a new venture, or building investor-ready market analysis for a startup pitch or business plan.FinanceNo warnings★ 41.7K↓ —
- pptx-slide-specificationwshobson/agentsUse when authoring or repairing a coordinate-explicit JSON specification for an editable PPTX deck.DocumentsNo warnings★ 41.7K↓ —
- githubsickn33/agentic-awesome-skillsUse the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.EngineeringNo warnings★ 48.5K↓ —Also in 1 other repo
autoresearch
github/awesome-copilot
From the author
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.
Install
npx skills add github/awesome-copilot --skill autoresearch -a claude-code
Installs to .claude/skills/autoresearch/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
No warnings.
Why 95
Files (1)
- SKILL.md