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.
45,587 skills from 2,205 repositories · updated 11 minutes ago
45,585 skills
- qiskitsickn33/agentic-awesome-skillsBuild and transpile Qiskit circuits, test local simulators and prepare authorized hardware workloads with Sampler/Estimator primitives.TestingNo warnings★ 48.5K↓ —
- database-lookupK-Dense-AI/scientific-agent-skillsQueries documented public database APIs with explicit endpoints, filters, pagination, and provenance. Used when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.DataNo warnings★ 54.5K↓ —
- create-tldr-pagegithub/awesome-copilotCreate a tldr page from documentation URLs and command examples, requiring both URL and command name.OtherNo warnings★ 40.4K↓ —
- gke-ai-troubleshooting-tpu-mxla-hanggoogle/skillsDiagnose GKE Cloud TPU multi-slice training hangs (Megascale `HANG_DETECTED` logs and hang monitored events) using the ML Diagnostics `Megascale XLA (MXLA) Hang Analyzer` (`gcloud alpha mldiagnostics monitored-events`) and 1-minute Cloud Monitoring multi-slice latency metrics (`kubernetes.io/container/multislice/*`). Distinguishes XLA compiler/HLO launch divergence and host data-input stalls from TPU chip, SparseCore, ICI, or network fabric faults. Use when multi-slice TPU training jobs freeze without progressing steps, emit `HANG_DETECTED`, or stall in collective operations. Don't use for gradual step-time throughput drops without hangs (use gke-ai-troubleshooting-tpu-performance-degradation) or pod preemption/eviction restarts (use gke-ai-troubleshooting-jobset-interruption).OfficialDevOpsNo warnings★ 21.6K↓ —
- data-storytellingwshobson/agentsTransform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.DataNo warnings★ 41.7K↓ —
- torch-geometricK-Dense-AI/scientific-agent-skillsSupports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.DataNo warnings★ 54.5K↓ —
- c-prosickn33/agentic-awesome-skillsReview and implement C systems code with explicit memory ownership, pointer bounds, error handling, and measured performance.EngineeringNo warnings★ 48.5K↓ —
- aws-cost-optimizegithub/awesome-copilotAnalyze AWS resources used in the app (IaC files and/or resources in a target account/region) and optimize costs - creating GitHub issues for identified optimizations.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★ 41.7K↓ —
- cellxgene-censusK-Dense-AI/scientific-agent-skillsQueries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.ProductivityNo warnings★ 54.5K↓ —
- embedding-strategieswshobson/agentsSelect and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.PlanningNo warnings★ 41.7K↓ —
- ginkgo-cloud-labK-Dense-AI/scientific-agent-skillsGuides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio). Applies to cell-free, E. coli, and Pichia protein expression; HiBiT, A280, and LabChip readouts; IVT mRNA/circRNA synthesis; thermal shift assays; Echo-MS methods; SPR target onboarding; plate-reader assay onboarding; and fluorescent pixel art.BrowserNo warnings★ 54.5K↓ —
- on-call-handoff-patternswshobson/agentsMaster on-call shift handoffs with context transfer, escalation procedures, and documentation. Use this skill when transitioning on-call responsibilities between engineers and ensuring the incoming responder has full situational awareness, when writing a shift summary that captures active incidents, ongoing investigations, and recent changes, when handing off mid-incident so a fresh engineer can take over the incident commander role without losing context, when onboarding a new engineer to the on-call rotation for the first time, or when auditing and improving the quality of existing handoff processes across teams.FinanceNo warnings★ 41.7K↓ —
- pptx-visual-assetswshobson/agentsUse when selecting and placing approved supporting icons, images, SVGs, diagrams, or infographics in an editable PPTX deck.DocumentsNo warnings★ 41.7K↓ —
- ai-mdsickn33/agentic-awesome-skillsConvert human-written CLAUDE.md into AI-native structured-label format. Propose and evaluate structured-label rewrites while preserving rule meaning; benefits require measured evidence.WritingNo warnings★ 48.5K↓ —
- bgpt-paper-searchK-Dense-AI/scientific-agent-skillsSearches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Use for literature reviews, evidence synthesis, and finding experimental details beyond abstracts.ScienceNo warnings★ 54.5K↓ —
- 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★ 41.7K↓ —
- arch-linux-triagegithub/awesome-copilotTriage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.OtherNo warnings★ 40.4K↓ —
- gke-ai-troubleshooting-tpu-performance-degradationgoogle/skillsDiagnose GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (`gcloud alpha mldiagnostics monitored-events` / `hypercomputecluster.googleapis.com/v1alpha`) and 1-minute Cloud Monitoring system metrics (`kubernetes.io/node/accelerator/*`). Distinguishes hardware and network fabric throttling from workload resource bottlenecks (HBM capacity, host memory, or host CPU saturation). Use when TPU training throughput or duty cycle drops without crashing pods, when `PERFORMANCE_DEGRADATION` monitored events fire, or when triaging slow multi-slice training steps. Don't use for complete multi-slice XLA execution stalls with `HANG_DETECTED` logs (use gke-ai-troubleshooting-tpu-mxla-hang) or pod eviction/interruption restarts (use gke-ai-troubleshooting-jobset-interruption).OfficialDevOpsNo warnings★ 21.6K↓ —
- google-cloud-solution-rag-enterprise-search-gke-sqldbgoogle/skillsDiscovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.OfficialDevOpsNo warnings★ 21.6K↓ —
- 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↓ —
- database-migrationwshobson/agentsExecute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.DataNo warnings★ 41.7K↓ —
- dependency-upgradewshobson/agentsManage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.TestingNo 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↓ —
create-specification
github/awesome-copilot
PlanningUpdated 2 days ago
From the author
Create a new specification file for the solution, optimized for Generative AI consumption.
Install
npx skills add github/awesome-copilot --skill create-specification -a claude-code
Installs to .claude/skills/create-specification/ · 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