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.
45,604 skills from 2,205 repositories · updated 19 hours ago
45,602 skills
- hunt-cicdsickn33/agentic-awesome-skillsHunt CI/CD pipeline vulnerabilitiesSecurityNo warnings★ 48.5K↓ —
- google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skillsDiscovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and Iceberg), establishing metadata governance with Knowledge Catalog aspect types, or grounding agentic IDEs (VS Code, Antigravity) by using the Google Cloud Data Agent Kit. Don't use for provisioning borderless data lakehouse infrastructure (use google-cloud-solution-agentic-ai-borderless-data-lakehouse instead).OfficialDataNo warnings★ 21.6K↓ —
- 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↓ —
- google-cloud-solution-agentic-ai-borderless-data-lakehousegoogle/skillsDiscovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).OfficialDevOpsNo warnings★ 21.6K↓ —
- implementsickn33/agentic-awesome-skillsImplement a piece of work based on a PRD or set of issues.PlanningNo warnings★ 48.5K↓ —
- 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↓ —
- gke-ai-troubleshooting-node-unresponsive-timeoutgoogle/skillsDiagnose and mitigate GKE TPU or GPU nodes stuck in NotReady / NodeStatusUnknown ("Kubelet stopped posting node status") due to host kernel panics, hardware lockups, or disabled node auto-repair. Use when nodes stop heartbeating beyond the node auto-repair threshold and pods remain stuck in Terminating. Don't use for healthy nodes, pod-only application crashes, or routine GKE upgrades.OfficialOtherNo warnings★ 21.6K↓ —
- kustomizesickn33/agentic-awesome-skillsCustomize Kubernetes manifests without templating using Kustomize.DevOpsNo warnings★ 48.5K↓ —
- langgraphsickn33/agentic-awesome-skillsExpert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern.EngineeringNo warnings★ 48.5K↓ —
- create-specificationgithub/awesome-copilotCreate a new specification file for the solution, optimized for Generative AI consumption.PlanningNo warnings★ 40.4K↓ —
- gke-ai-troubleshooting-handle-disruption-gpu-tpugoogle/skillsDiagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL metrics, auditing node taints, or configuring workload protection strategies (graceful termination, opportunistic maintenance, PodDisruptionBudgets). Don't use for general GKE cluster creation, network policy configuration, or non-disruption workload deployment.OfficialDevOpsNo warnings★ 21.6K↓ —
- openshiftsickn33/agentic-awesome-skillsManage Red Hat OpenShift clusters and deployments.DevOpsNo warnings★ 48.5K↓ —
- placecallsickn33/agentic-awesome-skillsPlace real outbound phone calls to US businesses through the PlaceCall API: book, ask, get quotes, then read the outcome and transcript.EngineeringNo warnings★ 48.5K↓ —
- 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↓ —
- 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↓ —
- desk-journalgithub/awesome-copilotWrite, append, or read desk journal entries. The journal is persistent memory — what survives session boundaries. A good entry has: what was done, current state, next step.WritingNo warnings★ 40.4K↓ —
- pwn-chainsickn33/agentic-awesome-skillsGo from reverse engineering to a working exploit: stack/heap/kernel pwn workflows with pwntools, libc-database, ROP, and stabilization from CTF to authorized remote targets.DataNo warnings★ 48.5K↓ —
- azure-role-selectorgithub/awesome-copilotWhen user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.DevOpsNo warnings★ 40.4K↓ —
- recallmaxsickn33/agentic-awesome-skillsPrepare source-linked conversation handoffs and bounded document summaries, preserving decisions, uncertainty and task state within the host context limit.ProductivityNo warnings★ 48.5K↓ —
- 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↓ —
- seo-auditsickn33/agentic-awesome-skillsDiagnose and audit SEO issues affecting crawlability, indexation, rankings, and organic performance.MarketingNo warnings★ 48.5K↓ —
- java-helidongithub/awesome-copilotGet best practices for developing applications with Helidon 4 (SE and MP). Use when working with Helidon SE or Helidon MP, HttpService routing, Helidon DB Client, MicroProfile Config, Helidon Security, or Helidon testing in Java 21+ projects.SecurityNo warnings★ 40.4K↓ —
- solidpingsickn33/agentic-awesome-skillsRun SolidPing uptime monitoring through its hosted MCP server: list and diagnose checks, read results and incidents, create checks across 40+ types, and manage status pages.OtherNo warnings★ 48.5K↓ —
- fabric-lakehousegithub/awesome-copilotUse this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.EngineeringNo warnings★ 40.4K↓ —
film-crew
sickn33/agentic-awesome-skills
MediaUpdated yesterday
From the author
Turn a one-line AI video idea into a shot list and per-shot, model-ready prompts via a film crew (director, DP, gaffer, editor, script supervisor). Also fixes failing video prompts and diagnoses bad clips before a reroll. Works with Wan, LTX, Kling, Veo, Seedance, Hailuo, Runway.
Install
npx skills add sickn33/agentic-awesome-skills --skill film-crew -a claude-code
Installs to .claude/skills/film-crew/ · 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
Adoption72
Files (12)
- SKILL.md
- references/model-prompting.md
- references/reroll-review.md
- references/roles/director.md
- references/roles/dp.md
- references/roles/editor.md
- references/roles/gaffer.md
- references/roles/production-designer.md
- references/roles/script-supervisor.md
- references/roles/sound.md
- references/templates/shot-list.md
- references/unslop.md