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.
49,492 skills from 2,391 repositories · updated 18 hours ago
49,492 skills
- chief-operating-officercbrock84/headcountAn agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs in Claude Code and ChatGPT.LegalNo warnings★ 2.6K↓ —
- paid-advertisingcbrock84/headcountPlans, runs, and optimizes paid acquisition across search, social, and display — account structure, targeting, creative, bidding, budget, and the analysis that says whether to scale or stop. Use this to set up or restructure campaigns, write and iterate ad creative, diagnose rising costs or falling performance, decide budget allocation, or judge whether a channel is working.MarketingNo warnings★ 2.6K↓ —
- onboarding-and-offboardingcbrock84/headcountDesigns the joining and leaving experience — first-day readiness, ramp to productivity, knowledge capture, and clean exits. Use this to design or fix onboarding, shorten time to productivity, structure a leaver process, capture knowledge before someone leaves, or coordinate the access and asset steps around a joiner or leaver.DesignNo warnings★ 2.6K↓ —
- endpoint-managementcbrock84/headcountManages laptops, desktops and mobile devices — enrollment, configuration, patching, software distribution, and lost or compromised devices. Use this to set up device management, standardize builds, roll out software or an OS upgrade, handle a lost device, or bring an unmanaged fleet under control.OtherNo warnings★ 2.6K↓ —
- experimentationcbrock84/headcountDesigns, runs, and reads A/B tests and growth experiments — hypothesis, sample size, duration, and honest interpretation. Use this to plan a test, judge whether a result is real, build an experimentation program, decide what to test next, or diagnose why tests keep producing inconclusive or non-replicating results.TestingNo warnings★ 2.6K↓ —
- solution-architecturecbrock84/headcountDesigns system structure and makes architectural decisions defensible — boundaries, coupling, trade-offs, and recording why. Use this to design a new system or major component, choose between architectural options, review an existing design, decide where a boundary belongs, or document an architectural decision so it survives the people who made it.PlanningNo warnings★ 2.6K↓ —
- chief-data-officercbrock84/headcountOwns data as an asset — governance, quality, the warehouse and semantic layer, analytics capability, and the governance of models built on top. Use this for a decision about how data is collected, stored, defined, or shared; when numbers disagree between teams; when deciding what to build in-house versus buy; when standing up a data function; or when an AI or model decision needs governance rather than engineering.DataNo warnings★ 2.6K↓ —
- backup-and-recoverycbrock84/headcountProtects and restores data — backup coverage and scope, retention, immutability against ransomware, and proving restores actually work. Use this to design a backup regime, verify restores, plan retention, protect backups from ransomware, or recover from data loss.DesignNo warnings★ 2.6K↓ —
- intellectual-propertycbrock84/headcountCovers what the organization owns and what it is only borrowing — trademarks and clearance, copyright and work-for-hire, patents and trade secrets, open-source license obligations and copyleft reach, and IP terms in customer, contractor and AI-tool agreements. Use this to check whether a name is usable, establish that you own work you paid for, decide how to handle a license obligation in a dependency, or respond to an infringement claim.OtherNo warnings★ 2.6K↓ —
- cloud-infrastructurecbrock84/headcountDesigns and runs cloud infrastructure — environments, infrastructure as code, networking and isolation, scaling, and cost. Use this to design a cloud environment, control infrastructure spend, set up environment separation, plan for scale or region failure, or review infrastructure someone configured by hand.DevOpsNo warnings★ 2.6K↓ —
- compensation-and-levelingcbrock84/headcountBuilds and maintains the leveling framework and pay structure — level definitions, salary bands, benchmarking, pay equity, and how raises and promotions are decided. Use this to design or revise leveling, set or adjust salary bands, benchmark against market, handle a compensation request or counteroffer, run a review cycle, or diagnose pay compression and equity issues.DesignNo warnings★ 2.6K↓ —
- systematic-debuggingcbrock84/headcountFinds the root cause of a bug, test failure, or unexpected behavior before proposing any fix. Use this whenever something is broken and the cause is not yet proven — a failing test, a production error, intermittent behavior, or a symptom that appeared after a change. Also use when a fix has been attempted and did not work, or when the same bug keeps coming back.EngineeringNo warnings★ 2.6K↓ —
- regulatory-compliancecbrock84/headcountIdentifies which regulations apply and builds the program that keeps you inside them — obligation mapping, controls, monitoring, and responding to regulators. Use this to work out what applies to your business, stand up a compliance program, prepare for a regulatory exam or certification, respond to a finding, or assess exposure before entering a new market.LegalNo warnings★ 2.6K↓ —
- scenario-audioscenario-labs/skillsUse when generating or handling audio on Scenario via MCP. Triggers include music tracks, full-length songs with vocals written from lyrics, background scores, soundtracks, game sound effects, SFX, foley, ambience, looping audio, voiceover, narration, speech, TTS, text-to-speech, dialogue, voice cloning, re-voicing a recording, scoring or adding sound to a video, transcription, or requests to create, wait on, play, or download audio files (MP3, WAV) with Scenario tools.MediaNo warnings★ 2.2K↓ —
- mex-relaymex-memory/mexPrepare and manage durable MEX team handoffs. Use when the user asks to hand work to a person or team, prepare an end-of-session handoff, save what the next engineer needs, create a MEX Relay, take or close a Relay, or explicitly invokes /mex-relay or $mex-relay. Treat Relay as a memory and context baton, not chat, notifications, task assignment, issue tracking, or a Jira replacement; do not activate for ordinary status messages that are not durable handoffs.ProductivityNo warnings★ 1.8K↓ —Also in 1 other repo
- bizcardLeoYeAI/agent-master-skillsBusiness card scanner + Google Contacts manager. Auto-detects business card images, extracts contact info via OCR (imageModel), confirms with user, saves to Google Contacts with configurable name format and card photo. Trigger: image that looks like a business card, or keywords "명함", "bizcard", "연락처 저장". Settings: /bizcard configMediaNo warnings★ 2.2K↓ —
- mex-inboxmex-memory/mexDraft and review contributions to existing MEX project knowledge. Use when the user asks to capture a discussion or decision in project knowledge, propose an addition or correction for team review, or explicitly invokes /mex-inbox or $mex-inbox. Also supports existing Spec proposals. Do not activate for brainstorming alone, routine GROW upkeep, email inboxes, session logs, or handoffs.PlanningNo warnings★ 1.8K↓ —Also in 1 other repo
- venue-templatesK-Dense-AI/scientific-agent-skillsPrepares journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds. Supports selecting an official template, checking current page or anonymity rules, adapting academic writing to a venue, or inspecting a submission PDF.DocumentsNo warnings★ 56.1K↓ —
- scenario-video-editingscenario-labs/skillsUse when editing footage already on Scenario through MCP with a tool model, not a new generation: LUT grading, color correction, grain, vignette, blur, sharpen, glow, tint, desaturate, posterize, solarize, oilify, cubism, chromatic aberration, dodge and burn on a clip; trimming, splitting, reversing, resizing, re-encoding, frame extraction, image sequences; chroma key, green or blue screen removal to transparent WebM or ProRes MOV, background removal, segmentation masks, subjects as layers.MediaNo warnings★ 2.2K↓ —
- scenario-3d-worldsscenario-labs/skillsUse when generating navigable 3D worlds or Gaussian splat scenes on Scenario via MCP: text-to-world, image-to-world, a 360 panorama or skybox turned into a walkable splat, multi-view photos or a video walkthrough reconstructed as a splat, or one object photo to splat. Keywords: World Labs Marble 1.1, 1.1 Plus, 1.0 Draft, Hunyuan World, HY World, image-to-skybox, skybox-to-splat, multiview-to-splat, TripoSplat, gaussian splatting, 3DGS, spz, world generation, explorable scene, VR.MediaNo warnings★ 2.2K↓ —
- mex-relaymex-memory/mexPrepare and manage durable MEX team handoffs in git-native project memory. Use when the user asks to hand work to a person or team, prepare an end-of-session handoff, save what the next engineer needs, create a MEX Relay, take or close a Relay, or invokes /mex-relay or $mex-relay. Keywords: mex, project memory, relay, handoff, team memory, Claude Code, Codex. Treat Relay as a memory baton, not chat, notifications, task assignment, issue tracking, or a Jira replacement; do not activate for ordinary status messages that are not durable handoffs.EngineeringNo warnings★ 1.8K↓ —
- scveloK-Dense-AI/scientific-agent-skillsPerforms RNA velocity analysis with scVelo from spliced and unspliced single-cell RNA counts. Fits deterministic or dynamical models, examines gene phase portraits, builds velocity graphs, estimates relative latent time, and ranks velocity-associated genes. Use for directional trajectory hypotheses and kinetic-model diagnostics alongside Scanpy; velocity alone does not establish cell fate or causal drivers.OtherNo warnings★ 56.1K↓ —Also in 2 other repos
- zhengxi-viewslyra81604/zhengxi-views郑希观点库——基于易方达基金经理郑希 2012–2026 年全部公开观点原文语料,外加从语料蒸馏、有本人原话佐证的郑希投资方法的可溯源 research skill。能做: (1) 溯源问答——他怎么看 AI算力/光通信/新能源/半导体/ROE 等,引用其原话作答; (2) 讲解他的投资方法/框架/选股逻辑;(3) 前瞻应用——用他的方法分析当下任意主题/行业/个股,语料没谈过也能据框架推演; (4) 风格化点评——用他季报/手记的口吻写市场点评、季度展望; (5) 言行对照——用他全部基金真实数据(季度持仓/净值/业绩/规模/任职回报)核对"说的"与"买的",或答他的业绩/重仓/规模; (6) 全市场查询对比——内置约 2.7 万只基金列表,按需抓任意基金真实数据做查询或与郑希对比; (7) 郑希框架评分——给一只基金按他的方法打分(多像郑希会买的)。 When the user mentions 郑希/易方达郑希/zhengxi, asks his view on a sector/stock/theme, his 投资方法/框架/选股/风格/持仓/业绩/净值/规模, wants to apply his approach, a commentary 用郑希口吻, to check words vs holdings, or to look up/compare/score ANY China mutual fund (任意基金/某基金经理/同类对比/给基金打分)——use this skill, even if they don't say "skill", even if the topic isn't in his corpus (fall back to his method). 引用忠于原文、不杜撰;推演与原话区分。研究学习辅助,非投资建议。ScienceNo warnings★ 1.8K↓ —
- hedyLeoYeAI/agent-master-skillsAccess Hedy meeting data: sessions, transcripts, highlights, todos, topics, contexts, and webhooks via the Hedy REST API.EngineeringNo warnings★ 2.2K↓ —
autoskill
K-Dense-AI/scientific-agent-skills
From the author
Analyzes user-requested Screenpipe history windows to detect repeated research workflows, match existing scientific skills, and stage new skill drafts or composition recipes for review. Requires a reachable Screenpipe HTTP API, normally on localhost:3030. Detection and embedding inference run locally; the selected LLM receives redacted app/title cluster summaries and matched skill descriptions. Use only when the user explicitly asks to analyze their recent work and propose skills.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill autoskill -a claude-code
Installs to .claude/skills/autoskill/ · 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
- Uses sudoLow
- Ships scripts we have not reviewedLow
Why 89
Files (16)
- .gitignore
- SKILL.md
- config.yaml
- references/api-contracts.md
- references/https-proxy.md
- references/screenpipe-config.yaml
- scripts/autoskill.py
- scripts/backends.py
- scripts/cluster.py
- scripts/doctor.py
- scripts/fetch_window.py
- scripts/match_skills.py
- +4 more