Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
32.852 de skill-uri din 1.459 de depozite · actualizat acum 12 minute
32.850 de skill-uri
- warehousesickn33/agentic-awesome-skillsPlan and review read-only data warehouse analysis with explicit scope, privacy, provenance, and validation checks.PlanificareFără avertismente★ 48,4 K↓ —
- wiki-yylosickn33/agentic-awesome-skillsUse YYLO Ledger wiki Records as durable project knowledge. Search before creating, classify information correctly, and make revision-safe Markdown updates without editing Ledger storage directly.RedactareFără avertismente★ 48,4 K↓ —
- team-composition-analysiswshobson/agentsDesign optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A. Use this skill when planning headcount, determining which roles to hire next, setting compensation or equity ranges, designing org structure, or building a hiring budget aligned to funding milestones.DesignFără avertismente★ 41,6 K↓ —
- agentic-workflowsgithub/awesome-copilotRoute gh-aw workflow design/create/debug/upgrade requests to the right prompts.DesignFără avertismente★ 40,4 K↓ —
- zarr-pythonK-Dense-AI/scientific-agent-skillsStores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration. Use for array layout, bounded I/O, format migration, or scientific metadata preservation.InginerieFără avertismente★ 54,4 K↓ —
- arize-prompt-optimizationgithub/awesome-copilotOptimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.InginerieFără avertismente★ 40,4 K↓ —
- 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.DevOpsFără avertismente★ 40,4 K↓ —
- apple-appstore-reviewergithub/awesome-copilotServes as a reviewer of the codebase with instructions on looking for Apple App Store optimizations or rejection reasons.AlteleFără avertismente★ 40,4 K↓ —
- anti-sleepsickn33/agentic-awesome-skillsKeep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.AlteleFără avertismente★ 48,4 K↓ —
- arrowspacesickn33/agentic-awesome-skillsSpectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.PlanificareFără avertismente★ 48,4 K↓ —
- power-platform-architectgithub/awesome-copilotUse this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.PlanificareFără avertismente★ 40,4 K↓ —
- aws-lambdasickn33/agentic-awesome-skillsBuild and deploy serverless functions on AWS Lambda. Configure triggers, manage permissions, and optimize performance. Use when implementing serverless applications.DevOpsFără avertismente★ 48,4 K↓ —
- bazel-build-optimizationwshobson/agentsOptimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.AlteleFără avertismente★ 41,6 K↓ —
- babysit-prsickn33/agentic-awesome-skillsBabysit a pull request through its bot review rounds: verify, fix, reply, resolve. Use for any babysit or watch-the-PR ask.InginerieFără avertismente★ 48,4 K↓ —
- protobuf-grpc-api-reviewgithub/awesome-copilotReview Protocol Buffer (.proto) and gRPC API changes for wire and JSON compatibility, safe schema evolution, rollout hazards, and RPC contract quality. Use when reviewing proto diffs, adding or changing messages and services, planning migrations, or diagnosing cross-version failures.InginerieFără avertismente★ 40,4 K↓ —
- bill-gatessickn33/agentic-awesome-skillsAgente que simula Bill Gates — cofundador da Microsoft, arquiteto da industria de software comercial, estrategista tecnologico global, investidor sistemico e filantropo baseado em dados.FinanțeFără avertismente★ 48,4 K↓ —
- bug-bountysickn33/agentic-awesome-skillsComplete bug bounty workflowProductivitateFără avertismente★ 48,4 K↓ —
- bug-huntersickn33/agentic-awesome-skillsSystematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression.InginerieFără avertismente★ 48,4 K↓ —
- github-actions-hardeninggithub/awesome-copilotSecurity hardening reviewer for GitHub Actions workflow files (.github/workflows/*.yml). Reasons about the Actions threat model that pattern matchers and general code linters miss — untrusted-input script injection, privileged triggers running fork code, mutable action references, and over-scoped tokens. Use this skill when asked to review, audit, harden, or secure a GitHub Actions workflow, when writing a new workflow, or for any request like "is this workflow safe?", "review my CI for security issues", "why is pull_request_target dangerous here?", "pin my actions", or "lock down GITHUB_TOKEN permissions". Covers script injection via ${{ }} interpolation, pull_request_target / workflow_run privilege escalation, SHA-pinning of third-party actions, least-privilege permissions, GITHUB_ENV/GITHUB_OUTPUT injection, secret exposure, OIDC over long-lived credentials, and self-hosted runner exposure on public repositories.DevOpsFără avertismente★ 40,4 K↓ —
- changelog-automationwshobson/agentsAutomate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.InginerieFără avertismente★ 41,6 K↓ —
- gtm-positioning-strategygithub/awesome-copilotFind and own a defensible market position. Use when messaging sounds like competitors, conversion is weak despite awareness, repositioning a product, or testing positioning claims. Includes Crawl-Walk-Run rollout methodology and the word change that improved enterprise deal progression.TestareFără avertismente★ 40,4 K↓ —
- ckw-designsickn33/agentic-awesome-skillsFrontend design entry point: direction, design system, visual philosophy. Use whenever building or touching the look of any web UI (components, pages, dashboards, React/Vue/HTML-CSS) or when the user says "make this look better", "fix the spacing/layout", or mentions styling, color, type, or polish.DesignFără avertismente★ 48,4 K↓ —
- paperzillaK-Dense-AI/scientific-agent-skillsReads projects, searches project feeds, and retrieves recommendations and canonical papers in Paperzilla through the pz CLI. Supports recent recommendations, paper details, markdown-based summaries, recommendation feedback, JSON export, and Atom feed URLs.ȘtiințăFără avertismente★ 54,4 K↓ —
- clean-codesickn33/agentic-awesome-skillsThis skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."InginerieFără avertismente★ 48,4 K↓ —
gke-ai-troubleshooting-tpu-performance-degradation
google/skills
OficialDevOpsActualizat ieri
De la autor
Diagnose 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).
Instalare
npx skills add google/skills --skill gke-ai-troubleshooting-tpu-performance-degradation -a claude-code
Se instalează în .claude/skills/gke-ai-troubleshooting-tpu-performance-degradation/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 95
Securitate100
Proveniență100
Întreținere100
Licență100
Adopție67
Fișiere (6)
- SKILL.md
- references/attribution.md
- references/path-a-workload-bottlenecks.md
- references/path-b-infrastructure-throttling.md
- references/path-c-no-detected-analyzer.md
- references/path-d-healthy-telemetry.md