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.
48,622 skills from 2,355 repositories · updated 15 hours ago
47,548 skills
- add-codexnanocoai/nanoclawUse Codex (OpenAI's codex app-server) as a full agent provider — planning, tool orchestration, MCP tools, server-side history, session resume — alongside or instead of Claude. ChatGPT subscription or OpenAI API key, vault-only via the selected gateway. Per-group via `ncl groups config update --provider codex`. Distinct from using OpenAI as an MCP tool (where Claude remains the planner).PlanningNo warnings★ 31.1K↓ —
- spec-workflowTencentCloudBase/CloudBase-AI-ToolkitUse when medium-to-large changes need explicit requirements, technical design, and task planning before implementation, especially for multi-module work, unclear acceptance criteria, or architecture-heavy requests.PlanningNo warnings★ 1.2K↓ —Also in 5 other repos
- codebase-onboardingalirezarezvani/claude-skillsUse when someone is new to a repo or a tech lead needs an architecture brief, before writing docs by hand. Maps the codebase with codebase_analyzer.py and produces onboarding docs.WritingNo warnings★ 29.1K↓ —
- cloudbase-mcpTencentCloudBase/CloudBase-AI-ToolkitCloudBase MCP reference. Use when connecting local or remote MCP, calling tools from the shell with mcporter, reading tool schemas, choosing the domestic or international endpoint, setting site, region, cloud mode, or plugin flags, or contributing a fix to the open-source MCP server, skills, or CLI.EngineeringNo warnings★ 1.2K↓ —Also in 5 other repos
- save-learninggooseworks-ai/goose-skillsShared step of the marketing playbooks (make-static-ads, analyze-performance, email-lifecycle, write-outreach): saves a short brand rule or finding in the human's own words, one idea per rule, retires the playbook's own older rules it replaces, and reads the result back to confirm. Loaded by those playbooks; not for direct use.MarketingNo warnings★ 1.3K↓ —
- render-cgi-sizzlegooseworks-ai/goose-skillsAssemble a 3D-CGI app sizzle — nano-banana CGI plates (blank-glow floating phone + a CGI studio with rim-light + placeholder burst shapes; studio look and phone finish come from the recipe choices) plus PIL compositing of the REAL App Store screenshots onto the bezel + burst-out overlays, driven by Kling 3.0 i2v steady-float per beat with a per-beat Ken-Burns FFmpeg push-in fallback when Kling garbles the UI, then VO/music mix (sidechain duck, loudnorm) + 1.15x speed + anti-AI grain finalize. The on-screen UI, any faces in it, and the wordmark are ALWAYS real assets composited via PIL — never AI-rendered. The paid steps (plates, i2v clips, VO, music) are separate capabilities; this ships the config + PIPELINE + FREE assembly and the recipe orchestrates the spend. Use for the cgi-app-sizzle video format.MediaNo warnings★ 1.3K↓ —
- save-to-braingooseworks-ai/goose-skillsShared step of the marketing playbooks (research-market, plan-campaign, make-content, analyze-performance): saves a finished file to the brand and makes it searchable. It either replaces older versions or keeps dated history, then checks that the file can be found. Loaded by those playbooks; not for direct use.ScienceNo warnings★ 1.3K↓ —
- one-hard-truthmohitagw15856/pm-claude-skillsGet the single honest thing you're avoiding about a situation — said kindly but not softened away. Use when asked tell me the hard truth, what am I avoiding here, be honest with me about this, or what do I not want to hear. Produces the one thing you already half-know but keep sidestepping, said plainly and with care (not cruelty), why it's hard to face, and what facing it would actually make possible — because the truth you're avoiding is usually the one that would change things, and a kind voice can say what your own keeps ducking.OtherNo warnings★ 1.5K↓ —
- redis-connectionsredis/agent-skillsRedis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.OfficialOtherNo warnings★ 171↓ —Also in 1 other repo
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivityNo warnings★ 1.3K↓ —
- ai-model-webTencentCloudBase/CloudBase-AI-ToolkitUse this skill when a browser/Web app (React, Vue, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI, 页面, 前端, 网页) needs AI models via @cloudbase/js-sdk. Default routing for Web/frontend AI — call directly from the browser, do NOT propose a Node.js proxy. Covers generateText and streamText; models via ai.createModel with groups cloudbase, the legacy hunyuan-v3 / hunyuan-exp, or custom-*, model id in the `model` field. MUST run two-step preflight before code — see body. NOT for Node.js backend (use ai-model-nodejs), Mini Program (use ai-model-wechat), or image generation (Node SDK only).DesignNo warnings★ 1.2K↓ —Also in 4 other repos
- work-with-creatorsgooseworks-ai/goose-skillsReal creators and influencers, researched, priced and briefed. Use when the marketer says "find influencers", "which creators are worth paying, at what price?", "find real UGC creators to film for our ads", "who should we seed product to", "is this creator's engagement real", "what should I pay this creator" or "write a creator brief". Free research first; one credit yes only to vet deeper. Drafts only: contacts nobody, agrees nothing, moves no money. Not for AI-made UGC-style video — use goose-video; if unsure, ask: a real person filming, or AI-made?MediaNo warnings★ 1.3K↓ —
- meta-descriptionkostja94/marketing-skillsWhen the user wants to write, audit, or optimize a meta description, SEO description, SERP snippet candidate, duplicate description, description length, or description rewrite issue. For a sitewide metadata lifecycle including implementation and production validation, use page-metadata.MarketingNo warnings★ 1.1K↓ —
- ui-designTencentCloudBase/CloudBase-AI-ToolkitUse when users need visual direction, interface hierarchy, layout decisions, design specifications, or prototypes before implementing a Web or mini program UI.DesignNo warnings★ 1.2K↓ —Also in 5 other repos
- 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★ 1.4K↓ —
- agentlas-cloudagentlas-ai/Agentlas-OSUse when the user types /agentlas-cloud, /agentlas cloud, or /hep-cloud to staff only from the signed-in owner's private Cloud packages.OtherNo warnings★ 1.6K↓ —Also in 1 other repo
- analyze-performancegooseworks-ai/goose-skillsWeekly performance read across every channel we run: what worked, why, and what to make next, judged on the business's real number (store revenue, qualified pipeline, retained users), not platform claims. Use when: write my Monday report; how are my ads doing — which ad won?; are my ads actually making money (Meta says 4x ROAS but revenue is flat); why did sales drop this week; did the test win; is my tracking working; monthly numbers for the replan; anything on fire today. Not for acting on the recommendations (pausing, scaling, launching) — use run-paid-campaigns; not for replanning the budget — use plan-campaign.TestingNo warnings★ 1.3K↓ —
- decision-loggeralirezarezvani/claude-skillsUse when logging a decision after a board meeting, reviewing past decisions or checking overdue actions. Keeps raw transcripts and approved decisions separately with decision_tracker.py.OtherNo warnings★ 29.1K↓ —
- handbook-pagemohitagw15856/pm-claude-skillsWrite the handbook page that ends the repeated explanation — the answer-shaped structure (task-first, context second), the ownership and freshness header, and the write-once-point-forever discipline that turns tribal knowledge into infrastructure. Use when asked document how we do X, write the wiki page for this process, I explain this every month, or make this knowledge survive me. Produces the page with task-first structure, the header block, the worked example, and the pointer habit.DevOpsNo warnings★ 1.5K↓ —
- write-outreachgooseworks-ai/goose-skillsCold outreach a person sends to business buyers: email and LinkedIn sequences, a first line per prospect, reply and objection answers, and a read of replies. Use when the marketer says "write a cold email sequence", "what do I send to this list", "write LinkedIn messages for these leads", "how do I reply to this prospect" or "handle this objection", "reply to this demo request", "win back or reconnect with accounts that churned or went quiet", or "why is nobody replying to my outreach". Drafts only; the marketer sends from their own tool. Not for finding the people — use research-audience; not for emails to subscribers or users, or consumer win-back — use email-lifecycle.WritingNo warnings★ 1.3K↓ —
- press-kit-epkmohitagw15856/pm-claude-skillsBuild an electronic press kit that bookers and blogs actually read — the three-sentence bio that isn't 'genre-defying', a one-page layout with streaming numbers presented honestly, the photo and live-video requirements, and pitch emails tuned per target (venue, blog, radio, festival). Use when a musician says 'I need an EPK', 'venues keep ignoring my emails', 'write my band bio', or 'what do I send festivals'. Produces the EPK content, the one-page layout spec, and four pitch email templates.MediaNo warnings★ 1.5K↓ —
- scenario-refine-loopscenario-labs/skillsUse when a Scenario output must be checked and improved rather than accepted first roll: iterating a generation until it matches the brief, fixing a batch that came back off-brief, retrying failed shots methodically, wiring an automated generate, review, revise loop, or deciding whether to re-prompt, swap references, inpaint, post-process, or change model. Keywords: refine, iterate, critique, review loop, QA, self-correction, verify, acceptance criteria, retry, drift.TestingNo warnings★ 1.4K↓ —
- design-system-compliancereticlehq/reticleCheck that the UI you actually rendered uses the design system, by reading computed styles in the running app against the project's design tokens. Catches hardcoded hex colors, off-palette backgrounds, invisible or unusable controls, and animations that never ran. Use after building or restyling a component, when a design review is wanted, when a UI looks slightly off but nobody can say why, or when a design system exists and nothing checks whether the code follows it.DesignNo warnings★ 1.3K↓ —
- scenario-blenderscenario-labs/skillsUse when an agent works in an open Blender scene through the Scenario for Blender extension's local MCP server (scenario-blender on 127.0.0.1:9876): connecting Claude Code, Cursor, Claude Desktop or Codex to Blender, the headless scenario_blender command, quoting and generating Scenario images, PBR materials, 3D meshes, video, audio or 360 environments from the scene, capturing the viewport or selected meshes as references, placing saved results, Render Video camera paths, or execute_python.MediaNo warnings★ 1.4K↓ —
sci-workflow
brycewang-stanford/Awesome-Journal-Skills
ProductivityUpdated Sep 27, 2026
From the author
Use when deciding which sci-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for Science (AAAS). Routes — it does not replace — the specialized skills.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sci-workflow -a claude-code
Installs to .claude/skills/sci-workflow/ · 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 88
Security100
Provenance77
Maintenance100
Licence100
Adoption50
Files (1)
- SKILL.md