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 11 hours ago
44,573 skills
- lamindbforyourhealth111-pixel/Vibe-SkillsThis skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.DevOpsNo warnings★ 3.8K↓ —Also in 1 other repo
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md using parallel sub-agent dispatch by dependency wave.PlanningNo warnings★ 3.7K↓ —
- gsd:list-phase-assumptionsdavepoon/buildwithclaudeSurface Claude's assumptions about a phase approach before planningPlanningNo warnings★ 3.7K↓ —
- torchdrugforyourhealth111-pixel/Vibe-SkillsGraph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.ScienceNo warnings★ 3.8K↓ —
- kiro-discoverygotalab/cc-sddEntry point for new work. Determines the best action path or work decomposition (update existing spec, create new spec, mixed decomposition, or no spec needed) and refines ideas through structured dialogue.PlanningNo warnings★ 3.7K↓ —Also in 5 other repos
- MCP Integrationforyourhealth111-pixel/Vibe-SkillsThis skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.EngineeringNo warnings★ 3.8K↓ —Also in 2 other repos
- doca-gpunetioNVIDIA/skillsUse this skill when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via doca_gpu_eth_rxq / doca_gpu_eth_txq, standing up the per-CUDA-device doca_gpu context, designing the persistent CUDA kernel that drains the GPU-visible queue, running the dual capability check (DOCA cap-query plus cudaGetDeviceProperties), registering cudaMalloc pools via doca_buf_arr_create_*, or debugging DOCA_ERROR_* returns from the GPUNetIO API. Trigger even when the user does not explicitly mention "DOCA GPUNetIO" or "persistent kernel" — typical implicit phrasings include "CUDA kernel reading packets directly from the NIC", "GPU-initiated networking on BlueField", "DOCA_ERROR_DRIVER on doca_gpu_create", "nvidia_peermem not loaded", "kernel-per-packet is too slow", or "which GPU supports GPU-side packet I/O". Refuse and route elsewhere for general CUDA programming, DOCA Ethernet queue bring-up, DOCA DPA, or DOCA install — those belong to other skills.EngineeringNo warnings★ 3.7K↓ —
- adaptyvforyourhealth111-pixel/Vibe-SkillsCloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.TestingNo warnings★ 3.8K↓ —Also in 2 other repos
- nemo-rl-auto-researchNVIDIA/skillsAutonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger. Do NOT use for: bug fixes, code review, documentation, refactoring, dependency updates, or single-file changes.ScienceNo warnings★ 3.7K↓ —
- vscode-release-notes-writerforyourhealth111-pixel/Vibe-SkillsGuidelines for writing and reviewing Insiders and Stable release notes for Visual Studio Code.WritingNo warnings★ 3.8K↓ —
- unity-scriptableobjectsgamedev-skills/awesome-gamedev-agent-skillsArchitect Unity 6.3 LTS data and decoupling with ScriptableObjects: config/data assets, shared runtime variables, event channels, and runtime sets/registries. Use when designing data-driven systems, replacing singletons/managers, creating .asset data with CreateAssetMenu, or when the user mentions ScriptableObject, SO architecture, or data assets.PlanningNo warnings★ 4.1K↓ —
- jetson-quick-startNVIDIA/skillsEntry skill for Jetson / IGX BSP customization. Asks one core click-to-select setup questionnaire and passes prefilled answers to downstream setup skills.OtherNo warnings★ 3.7K↓ —
- nemo-retriever-mcpNVIDIA/skillsUse when a task needs to search or add documents through NeMo Retriever MCP.ProductivityNo warnings★ 3.7K↓ —
- Verification & Quality Assuranceforyourhealth111-pixel/Vibe-SkillsComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.EngineeringNo warnings★ 3.8K↓ —Also in 1 other repo
- doca-gpiNVIDIA/skillsUse this skill for DOCA GPI work — configuring a GPU Packet Initiator so device code issues RDMA operations straight out of GPU-resident buffers via doca_gpi objects: domain creation and channel limits, attribute objects, the doca_gpu_gpi_channel* handoff consumed inside device code, and DOCA_ERROR_* triage on doca_gpi_* entry points such as doca_gpi_gpu_channel_get. Also load it for implied asks like "how many channels fit in a GPI domain" or "device code issuing one-sided RDMA". Refuse and route to the proper owner for Send/Receive semantics (doca-gpunetio), host-managed QP lifecycle (doca-rdma), Arm-side origination (doca-rdmi), or generic CUDA tutelage.EngineeringNo warnings★ 3.7K↓ —
- doca-rdmaNVIDIA/skillsRDMA data movement on NVIDIA BlueField/ConnectX NICs (RoCE/InfiniBand) with DOCA RDMA, instead of hand-written libibverbs/rdma_cm. Use when the user moves data between processes or hosts over the NIC, or hits "one-sided read returns permission denied", "completions never arrive after submit", "connection callback never fires", atomic compare-and-swap over RoCE, or DOCA_ERROR_FULL on the send queue under burst, even without naming DOCA RDMA. Covers bringing up an RDMA context on a doca_dev, connection methods (RDMA CM, bridge/OOB, or gRPC exchange of doca_rdma_export()), the eleven task types (Send/Receive/Send-Imm, Read/Write/Write-Imm, Atomic CmpSwap/FetchAdd, Get/Set/Add Remote Sync Event), matching mmap + RDMA permissions, queue and connection sizing, doca_rdma_cap_* queries, and DOCA_ERROR_* from RDMA calls. Raw QP/verbs control belongs to doca-verbs. Refuse and route elsewhere for general RDMA / ibverbs theory (queue pairs, MRs, RoCE vs IB), installing DOCA itself, or non-RDMA DOCA libraries.WritingNo warnings★ 3.7K↓ —
- make-pr-easy-to-reviewmichael-denyer/pstack-claudePrepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff".EngineeringNo warnings★ 3.4K↓ —
- principle-prove-it-worksmichael-denyer/pstack-claudeApply after completing a task, before declaring done. Verify against the real artifact (run the feature, read the actual value, inspect the diff), not a proxy, self-report, or 'it compiles.'ProductivityNo warnings★ 3.4K↓ —
- skill-livestreamZJU-REAL/Easel为直播生成完整方案:直播主题、流程时间表、开场白/过渡语/催单话术/感谢话术/互动话术。 适用于带货直播、知识分享直播、娱乐直播。 当用户说"直播策划"、"直播方案"、"直播话术"、"开播前准备"、"直播流程"、 "直播脚本"、"带货直播"、"怎么开播"、"直播怎么做"、"直播排期"、"写个直播话术"时触发。OtherNo warnings★ 4.1K↓ —
- llm-wikiAr9av/obsidian-wikiExplain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.PlanningNo warnings★ 3.6K↓ —
- i4h-workflow-setupNVIDIA/skillsPreflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation.ProductivityNo warnings★ 3.7K↓ —
- principle-fix-root-causesmichael-denyer/pstack-claudeApply when debugging. Trace each symptom back to the first place the system went wrong and fix it there. A guard is a fix only when the state it handles is legitimate.EngineeringNo warnings★ 3.4K↓ —
- typescript-best-practicesmichael-denyer/pstack-claudeTypeScript best practices. Use when reading or editing any .ts or .tsx file.EngineeringNo warnings★ 3.4K↓ —
- threejs-scene-setupgamedev-skills/awesome-gamedev-agent-skillsStand up a three.js scene: import maps and the three/addons path, the Scene/PerspectiveCamera/WebGLRenderer trio, the setAnimationLoop render loop, responsive resize, OrbitControls, and opting into WebGPURenderer. Use when starting or debugging a three.js app — when the user mentions three.js, THREE.Scene, WebGLRenderer, WebGPURenderer, PerspectiveCamera, the render loop, resizing, or OrbitControls. For models use threejs-gltf-loading; for materials/lights use threejs-materials-lighting.MediaNo warnings★ 4.1K↓ —
MCP Integration
foryourhealth111-pixel/Vibe-Skills
From the author
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill 'MCP Integration' -a claude-code
Installs to .claude/skills/MCP-Integration/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
No warnings.
Why 90
Files (7)
- SKILL.md
- examples/http-server.json
- examples/sse-server.json
- examples/stdio-server.json
- references/authentication.md
- references/server-types.md
- references/tool-usage.md