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.
39,866 skills from 1,828 repositories · updated 13 minutes ago
39,866 skills
- 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★ 41.6K↓ —
- spark-environment-setupwshobson/agentsSet up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.OtherNo warnings★ 41.6K↓ —
- agent-platform-rag-engine-managementgoogle/skillsManage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.OfficialDataNo warnings★ 21.5K↓ —
- hunt-ldapsickn33/agentic-awesome-skillsHunt LDAP Injection and XPath InjectionOtherNo warnings★ 48.4K↓ —
- connectivity-triagewshobson/agentsUse this skill when debugging active macOS connectivity failures, when an API or MCP service times out or disconnects, when DNS resolution is failing or inconsistent, or when video calls or other interactive traffic show packet loss or latency. Isolate local-LAN, DNS, upstream-path, and remote-service/application fault domains with built-in, non-destructive tools.MediaNo warnings★ 41.6K↓ —
- airflow-dag-patternswshobson/agentsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.TestingNo warnings★ 41.6K↓ —
- billing-automationwshobson/agentsBuild automated billing systems for recurring payments, invoicing, subscription lifecycle, and dunning management. Use when implementing subscription billing, automating invoicing, or managing recurring payment systems.OtherNo warnings★ 41.6K↓ —
- gitops-workflowwshobson/agentsImplement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.ProductivityNo warnings★ 41.6K↓ —
- linkerd-patternswshobson/agentsImplement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.SecurityNo warnings★ 41.6K↓ —
- research-grantsK-Dense-AI/scientific-agent-skillsSupports research proposal preparation and review for NSF, NIH, DOE, DARPA, and Taiwan NSTC, including opportunity-specific requirements, aims, review criteria, budgets, broader impacts, forms, and resubmissions. Use for investigator-authored grant development, compliance matrices, and proposal critiques.ScienceNo warnings★ 54.4K↓ —
- fal-audiosickn33/agentic-awesome-skillsText-to-speech and speech-to-text using fal.ai audio modelsMediaNo warnings★ 48.4K↓ —
- uv-package-managerwshobson/agentsMaster the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.EngineeringNo warnings★ 41.6K↓ —
- agent-platform-tuning-managementgoogle/skillsManages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).OfficialDevOpsNo warnings★ 21.5K↓ —
- event-store-designwshobson/agentsDesign and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.DesignNo warnings★ 41.6K↓ —
- bigquery-troubleshootinggoogle/skillsProvides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps. Don't use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).OfficialDataNo warnings★ 21.5K↓ —
- tamarindK-Dense-AI/scientific-agent-skillsProvides access to a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of these open-source tools in the cloud, references app.tamarind.bio/api or the x-api-key header, or needs to submit batches of sequences for structural or biophysical characterization.DesignNo warnings★ 54.4K↓ —Also in 1 other repo
- 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↓ —
- pptx-visual-assetswshobson/agentsUse when selecting and placing approved supporting icons, images, SVGs, diagrams, or infographics in an editable PPTX deck.DocumentsNo warnings★ 41.6K↓ —
- 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★ 41.6K↓ —
- bigquery-bigframesgoogle/skillsGenerates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.OfficialDataNo warnings★ 21.5K↓ —
- azure-akssickn33/agentic-awesome-skillsDeploy and manage Azure Kubernetes Service clusters. Configure node pools, networking, and integrations. Use when running Kubernetes workloads on Azure.DevOpsNo warnings★ 48.4K↓ —
- 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↓ —
- 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
- glassersickn33/agentic-awesome-skillsSearch, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.EngineeringNo warnings★ 48.4K↓ —
github-issues
github/awesome-copilot
ProductivityUpdated yesterday
From the author
Create, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, manage repository labels, set issue fields (dates, priority, custom fields), set issue types, manage issue workflows, link issues, add dependencies, or track blocked-by/blocking relationships. Triggers on requests like "create an issue", "file a bug", "request a feature", "update issue X", "set the priority", "set the start date", "create a label", "rename a label", "list repo labels", "link issues", "add dependency", "blocked by", "blocking", or any GitHub issue management task.
Install
npx skills add github/awesome-copilot --skill github-issues -a claude-code
Installs to .claude/skills/github-issues/ · 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 (11)
- SKILL.md
- references/dependencies.md
- references/images.md
- references/issue-fields.md
- references/issue-types.md
- references/labels.md
- references/milestones.md
- references/projects.md
- references/search.md
- references/sub-issues.md
- references/templates.md