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.
33,950 skills from 1,525 repositories · updated 18 minutes ago
33,948 skills
- dhdna-profilerK-Dense-AI/scientific-agent-skillsApplies the DHDNA framework as an exploratory rubric for reasoning and writing patterns in supplied text. Used for explicit requests for DHDNA, cognitive-style reflection, a thinking-pattern profile, or comparisons of textual reasoning. Scores describe evidence in the sample, not validated psychological traits or personal identity.WritingNo warnings★ 54.4K↓ —
- shellcheck-configurationwshobson/agentsMaster ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.DevOpsNo warnings★ 41.6K↓ —
- onboard-context-maticgithub/awesome-copilotInteractive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project language, demonstrates model_search and endpoint_search live, and ends with a menu of things the user can ask the agent to do. USE FOR: first-time setup; "what can this MCP do?"; "show me the available APIs"; "onboard me"; "how do I use the context-matic server"; "give me a tour". DO NOT USE FOR: actually integrating an API end-to-end (use integrate-context-matic instead).ProductivityNo 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★ 41.6K↓ —
- protocol-reverse-engineeringwshobson/agentsMaster network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.EngineeringNo warnings★ 41.6K↓ —
- cockneysickn33/agentic-awesome-skillsCheeky Cockney coding mode: terse replies, the smallest correct change, plain English for anything risky.EngineeringNo warnings★ 48.4K↓ —
- from-the-other-side-quinngithub/awesome-copilotCollaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison.OtherNo warnings★ 40.4K↓ —
- python-background-jobswshobson/agentsPython background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.EngineeringNo warnings★ 41.6K↓ —
- nextjs-app-router-patternswshobson/agentsMaster Next.js 14+ App Router with Server Components, streaming, parallel routes, and advanced data fetching. Use when building Next.js applications, implementing SSR/SSG, or optimizing React Server Components.EngineeringNo warnings★ 41.6K↓ —
- microservices-patternswshobson/agentsDesign microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.DesignNo warnings★ 41.6K↓ —
- deployment-pipeline-designwshobson/agentsDesign multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.DevOpsNo warnings★ 41.6K↓ —
- 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★ 41.6K↓ —
- azure-resource-visualizergithub/awesome-copilotAnalyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help in understanding how the resources relate to each other.DevOpsNo warnings★ 40.4K↓ —
- memory-safety-patternswshobson/agentsImplement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.ProductivityNo warnings★ 41.6K↓ —
- nextflowK-Dense-AI/scientific-agent-skillsBuilds, 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.TestingNo warnings★ 54.4K↓ —Also in 1 other repo
- langchain-architecturewshobson/agentsDesign LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.PlanningNo warnings★ 41.6K↓ —
- plotlysickn33/agentic-awesome-skillsInteractive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.ScienceNo warnings★ 48.4K↓ —
- python-testing-patternswshobson/agentsImplement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.TestingNo warnings★ 41.6K↓ —
- review-agent-setupwshobson/agentsConfigure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comments, merges, or edit CI configuration, and you want a cryptographically auditable approval trail with Cedar-enforced gates.EngineeringNo warnings★ 41.6K↓ —
- attack-tree-constructionwshobson/agentsBuild comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.SecurityNo warnings★ 41.6K↓ —
- prometheus-configurationwshobson/agentsSet up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.DevOpsNo warnings★ 41.6K↓ —
- brag-sheetgithub/awesome-copilotTurn vague "what did I do?" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a 3-part impact contract (action → result → evidence). Works standalone with zero dependencies. Trigger for: "brag", "log work", "what did I do", "backfill my work history", "performance review", "self-review", "self assessment", "write impact statement", "review prep", "promo packet", "promotion case", "weekly update", "status report", "accomplishments", "what did I ship", "I forgot to log my work", "summarize my work", "track my wins", "what should I highlight", "end of half", "career growth", "work journal", or any request to document, summarize, or organize work accomplishments.LegalNo warnings★ 40.4K↓ —
- terraform-module-librarywshobson/agentsBuild reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.DevOpsNo warnings★ 41.6K↓ —
- code-review-excellencewshobson/agentsMaster effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.EngineeringNo warnings★ 41.6K↓ —
update-llms
github/awesome-copilot
PlanningUpdated yesterday
From the author
Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/
Install
npx skills add github/awesome-copilot --skill update-llms -a claude-code
Installs to .claude/skills/update-llms/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption71
Files (1)
- SKILL.md