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.
14,555 skills from 421 repositories · updated 8 hours ago
14,439 skills
- breakdown-feature-prdgithub/awesome-copilotPrompt for creating Product Requirements Documents (PRDs) for new features, based on an Epic.PlanningNo warnings★ 40.3K↓ —
- python-error-handlingwshobson/agentsPython error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.EngineeringNo 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↓ —
- 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↓ —
- 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↓ —
- debugging-strategieswshobson/agentsMaster systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.EngineeringNo warnings★ 41.6K↓ —
- gen-specs-as-issuesgithub/awesome-copilotThis workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.PlanningNo warnings★ 40.3K↓ —
- 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★ 41.6K↓ —
- k8s-security-policieswshobson/agentsImplement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.SecurityNo warnings★ 41.6K↓ —
- python-design-patternswshobson/agentsPython design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.DesignNo warnings★ 41.6K↓ —
- harness-engineeringgithub/awesome-copilotAdopt repository-level harness engineering for coding agents. Use when a user wants to prevent repeated AI coding-agent mistakes by turning failures into durable instructions, drift checks, regression tests, failure memory, and adoption reports tailored to the target repository.TestingNo warnings★ 40.3K↓ —
- 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↓ —
- nx-workspace-patternswshobson/agentsConfigure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.OtherNo warnings★ 41.6K↓ —
- verify-agent-actiongithub/awesome-copilotReview a proposed AI-agent action or human-approval packet before execution. Use when an agent wants to run a consequential tool, command, deployment, message, purchase, credential operation, or data mutation; when checking whether approval still matches the exact action; or when auditing action evidence for forged results, parameter swaps, replay, correlated reviewers, missing evidence, expiry, or stale monitoring. Produce an evidence-based review only—never execute or authorize the action.DevOpsNo warnings★ 40.3K↓ —
- conventional-branchgithub/awesome-copilotCreate Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/). Use when creating a new branch, naming a branch, or checking whether a branch name complies with the spec.PlanningNo warnings★ 40.3K↓ —
- cockneysickn33/agentic-awesome-skillsCheeky Cockney coding mode: terse replies, the smallest correct change, plain English for anything risky.EngineeringNo warnings★ 48.4K↓ —
- finetuning-method-selectionwshobson/agentsDecide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort, when unsure whether RAG or prompting would suffice, or when choosing between preference-optimization and reinforcement methods.OtherNo warnings★ 41.6K↓ —
- conventional-commitgithub/awesome-copilotPrompt and workflow for generating conventional commit messages using a structured XML format. Guides users to create standardized, descriptive commit messages in line with the Conventional Commits specification, including instructions, examples, and validation.EngineeringNo warnings★ 40.3K↓ —
- 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↓ —
- stride-analysis-patternswshobson/agentsApply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.SecurityNo warnings★ 41.6K↓ —
- dataladK-Dense-AI/scientific-agent-skillsRetrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.ScienceNo warnings★ 54.1K↓ —
- mkdocs-translationsgithub/awesome-copilotGenerate a language translation for a mkdocs documentation stack.OtherNo warnings★ 40.3K↓ —