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.
49,103 skills from 2,358 repositories · updated 25 minutes ago
49,101 skills
- frost-sequence-camera-orbitheygen-com/hyperframesAn orbiting camera follows an ice logo as it breaks apart, reforms into two text moments, and fades. HyperFrames block, 1920×1080, 22.5s, 216 variables.OfficialOtherNo warnings★ 77.5K↓ —
- instrument-data-to-allotropeanthropics/knowledge-work-pluginsConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.OfficialDataNo warnings★ 34.4K↓ —
- recalldavepoon/buildwithclaudeSearch Origin's local memory by query. Targeted lookup, not orientation. Invoked as `/recall <query>`. Use when the user asks "do you remember", "what do you know about", "look up".ProductivityNo warnings★ 3.7K↓ —
- kiro-spec-designgotalab/cc-sddGenerate comprehensive technical design translating requirements (WHAT) into architecture (HOW) with discovery process. Use when creating architecture from requirements.DesignNo warnings★ 3.7K↓ —
- kiro-validate-designgotalab/cc-sddInteractive technical design quality review and validationDesignNo warnings★ 3.7K↓ —
- kiro-validate-gapgotalab/cc-sddAnalyze implementation gap between requirements and existing codebase. Use when planning integration with existing systems.PlanningNo warnings★ 3.7K↓ —
- holoscan-install-wheelNVIDIA/skillsInstall Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.EngineeringNo warnings★ 3.8K↓ —
- roi-calculatoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "calculate influencer ROI", "prove campaign value", or "what was our ROAS"; produces direct ROI/ROAS, earned media value, attribution-modeled revenue, LTV-based ROI, and a stakeholder-ready summary. Not for building the full slide/written report — use report-generator. 达人营销ROI计算/投资回报测算DocumentsNo warnings★ 3.1K↓ —
- kiro-spec-statusgotalab/cc-sddShow specification status and progressPlanningNo warnings★ 3.7K↓ —
- hyperplancode-yeongyu/oh-my-openagentAdversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', 'adversarial plan', 'hostile planning', 'cross-critique plan', '하이퍼플랜', '적대적 계획', '교차 비평'.PlanningNo warnings★ 70.6K↓ —
- list-segment-builderaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build email segments from my list", "make engaged / lapsed / RFM segments", "set up cart-abandoner or lifecycle-stage audiences", or "build a suppression list of unsubscribes and bounces"; turns the user's OWN list/CRM/GA4/ecommerce export into behavioral, attribute, and lifecycle-stage segments plus a suppression list, with per-segment sizes labeled Measured/Estimated, informing the SEND E (Engagement/targeting) dimension. Not for scoring EQS or running vetoes — use email-quality-auditor; not for authentication or spam-content checks — use deliverability-qa. 邮件列表分群/生命周期分群/抑制名单/流失召回TestingNo warnings★ 3.1K↓ —
- risk-analysisjeremylongshore/tons-of-skills-marketplaceAnalyze supplied contract clauses and prepare an evidence-linked issue register with triggers, possible impacts and questions for review. Use when assessing contract risks from an identified party's perspective. Trigger with "risk-analysis" or "what are the risks in this contract".LegalNo warnings★ 2.9K↓ —
- kiro-spec-requirementsgotalab/cc-sddGenerate comprehensive requirements for a specificationPlanningNo warnings★ 3.7K↓ —
- etf-premiumhimself65/finance-skillsCalculate an ETF's premium or discount to NAV from Yahoo Finance data (yfinance), compare or screen ETFs by premium, explain why a gap exists, and decompose a sudden ETF move into NAV-driven vs structural components (dealer gamma exposure, blocked AP arbitrage, sentiment). Use this skill whenever the user asks whether an ETF trades above or below NAV, compares ETF premiums or discounts, screens for the biggest ones, asks about ETF arbitrage or premium convergence, or wants to know why an ETF jumped or diverged from its holdings — including gamma squeezes, dealer gamma exposure (GEX), and blocked creation/redemption. Especially relevant for leveraged, inverse, international, bond, commodity, and crypto ETFs (IBIT, BITO, HYG, KWEB).FinanceNo warnings★ 3.5K↓ —
- open-design-landingnexu-io/open-designProduce a world-class single-page editorial landing site in the Atelier Zero visual language (Monocle / Apartamento / Études editorial collage) — the same aesthetic OpenDesign uses for its own marketing surface. The agent fills a typed `inputs.json` from a brand brief, optionally generates 16 collage assets via gpt-image-2, then runs a pure-function composer that emits a self-contained HTML file. Drop-in scroll-reveal motion and a Headroom-style sticky nav are wired automatically.DesignNo warnings★ 105.5K↓ —
- remediationdavepoon/buildwithclaudeGet a context-aware remediation plan for a vulnerability with fix verification stepsSecurityNo warnings★ 3.7K↓ —
- receiving-code-reviewforyourhealth111-pixel/Vibe-SkillsReview-feedback handling route for CodeRabbit, GitHub, PR, or human reviewer comments. Use before implementing suggestions to verify each finding. Do not use for a fresh code review, security audit, TDD, or final completion evidence.EngineeringNo warnings★ 3.8K↓ —
- kiro-spec-requirementsgotalab/cc-sddGenerate comprehensive requirements for a specificationPlanningNo warnings★ 3.7K↓ —Also in 5 other repos
- list-hygiene-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "watch my list health over time", "flag decaying / unengaged subscribers on a schedule", "why is my open rate drifting down / bounces creeping up", or "build me a re-permission and prune worklist"; runs the scheduled SEND list-decay + suppression-drift watch — an engagement-recency cohort read (30/90/180/365-day), hard-bounce and spam-complaint trend vs benchmark, suppression-list growth/leakage check, and a segmented re-permission / sunset / prune worklist tied to SEND S (list hygiene) and E (engagement-decay) sub-items. Not for the one-time pre-send authentication pre-flight — use deliverability-qa; not for the consent/suppression record itself — use consent-registry; not for computing the EQS or enforcing vetoes — use email-quality-auditor. 邮件列表健康度监控/退订漂移/沉睡用户清理TestingNo warnings★ 3.1K↓ —
- gsd:exploredavepoon/buildwithclaudeSocratic ideation and idea routing — think through ideas before committing to plansPlanningNo warnings★ 3.7K↓ —
- session-investigatorevalstate/fast-agentInvestigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool call/result correlation, and common failure patterns.FinanceNo warnings★ 4K↓ —
- pyhealthforyourhealth111-pixel/Vibe-SkillsComprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).TestingNo warnings★ 3.8K↓ —Also in 1 other repo
- tao-train-bevfusionNVIDIA/skillsBEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".OtherNo warnings★ 3.8K↓ —
- list-growth-designeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "grow my email list", "design a lead magnet / signup incentive", "set up double opt-in", or "plan a referral / recommendation loop"; produces a list-growth plan — acquisition channels, lead-magnet / incentive concepts, a compliant double-opt-in capture-flow spec, referral-loop mechanics, and subscriber-growth / cost-per-opt-in targets (labeled Estimated) — that feeds SEND-S (consent quality captured at acquisition) and SEND-N (lifecycle entry). Not for the signup page/popup UX itself — use landing-optimizer; not for recording the opt-in — use consent-registry; not for the confirmation-email copy — use email-creative-builder. 邮件列表增长/lead magnet/双重确认/推荐环MarketingNo warnings★ 3.1K↓ —
doca-gpunetio
NVIDIA/skills
EngineeringUpdated 3 days ago
From the author
Use 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.
Install
npx skills add NVIDIA/skills --skill doca-gpunetio -a claude-code
Installs to .claude/skills/doca-gpunetio/ · 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: APACHE-2.0
Safety checks on SKILL.md
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Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals/evals.json
- skill-card.md
- skill.oms.sig