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.
49,418 skills from 2,407 repositories · updated 16 minutes ago
49,416 skills
- make-static-ads-copy-variantsgooseworks-ai/goose-skillsStep of the make-static-ads playbook: after an image is approved, makes more versions of the same picture with different hooks, headlines or fonts by a quoted re-render with the approved render attached as the brand's own image, so copy can be tested without new visuals. Offered, never default. Run make-static-ads instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- person-researchhashgraph-online/awesome-codex-pluginsResearches a person across podcasts and YouTube for interview or meeting prep: where they appeared, their own words, who discusses them. Uses arcmira.ScienceNo warnings★ 1.5K↓ —
- make-static-ads-claims-extractgooseworks-ai/goose-skillsStep of the make-static-ads playbook: pulls every claim-bearing span out of an ad — the copy around the image, the on-image words in the prompt, badges, and what the picture implies — and keeps or cuts each by the brand-brain rule. Runs before spend on the finished prompt (Pass A) and on every render (Pass B). Run make-static-ads instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- varg-podcast-videohashgraph-online/awesome-codex-pluginsMakes podcast-style and two-character dialogue videos on varg with AI characters who stay the same in every angle: an empty studio set, one wide master shot built from character references, close-ups and lighting cutaways derived from that master, then 5-second image-to-video scenes in which each character speaks their line with native audio, reviewed on an HTML storyboard and stitched into one MP4. Use when someone asks for a podcast video, an AI podcast, a video podcast with two hosts, an interview, debate or talk-show clip between two characters, a myth-vs-truth or "lie vs truth" explainer, or a short of talking characters trading punchy lines. Not for cutting an existing podcast recording into shorts (find a clipping skill with video-skills), one speaker on a stage (use varg-character-keynote), multi-location ads with real actors (use varg-consistent-characters), or songs (use varg-music-video).MediaNo warnings★ 1.5K↓ —
- make-content-source-to-unitsgooseworks-ai/goose-skillsStep of the make-content playbook: mines one finished asset into scored quotable units and maps a different lead unit to each platform. Run make-content instead; not for direct use.OtherNo warnings★ 1.3K↓ —
- 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↓ —
- plan-campaign-goal-chaingooseworks-ai/goose-skillsChecks whether a stated goal is reachable on a given budget: fills an economics box with a source on every number, subtracts the baseline, works out the implied cost per customer against history or labelled base rates, and flags when the goal needs renegotiating. Use alone when you already have the goal (metric, number, date), budget, order value, margin and baseline; otherwise run plan-campaign.MarketingNo warnings★ 1.3K↓ —
- render-flat-vector-explainergooseworks-ai/goose-skillsAssemble the FREE steps of the flat-vector-explainer video format — a flat-illustration host character (who, where, tone, voice and music come from the recipe choices) walks a countable N-step product routine, one step per beat, and Remotion composites every chip/numeral/tagline/slate/CTA as an animated DOM overlay ON TOP of the Kling i2v character clips (text is NEVER baked into a keyframe — i2v warps type), the closing 'N products' grid is a PIL composite of the REAL product photos (not AI), full-sentence VO drives word-by-word burned captions over a VO-forward music bed, and the ~50s animated silent master is re-cut to a 30s deliverable FROM the animated master (never a static intermediate). Documentation-grade — ships config.example.json + PIPELINE.md + a README of the free assembly; the paid gen steps (keyframes, Kling i2v, VO, music) are separate capabilities the recipe orchestrates. Use for the flat-vector-explainer format.MediaNo warnings★ 1.3K↓ —
- category-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Commerce Category Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Commerce Category Page.OtherNo warnings★ 1.1K↓ —
- render-editorial-motion-podcastgooseworks-ai/goose-skillsAssemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are animated NOT by generative i2v but by DETERMINISTIC ffmpeg ken-burns (zoompan) + hard cuts (no crossfades, which expose geometric drift), each beat snapped to its spoken line, the real audio muxed, Whisper-driven captions burned only mid-sentence, and closed on a PIL brand end card — never AI-rendered text. This is the FREE deterministic assembly stage (ffmpeg ken-burns + hard concat + audio mux + captions + end card); the real audio is clipped from source and the keyframes come from create-image-fal. Use for the editorial-motion-podcast format.MediaNo warnings★ 1.3K↓ —
- context-budgetmohitagw15856/pm-claude-skillsPlan a session's context window like the budget it is — what loads up front, what gets linked instead, what stays fetch-on-demand, and how to keep the stable prefix cache-friendly so repeated turns cost cents instead of dollars. Use when asked my agent keeps blowing its context, plan what to load into the session, why is every turn so expensive, or design the context for this workflow. Produces the load/link/fetch allocation, the cache-aware prefix layout, the per-turn cost shape, and the eviction rules for when the window fills anyway.ProductivityNo warnings★ 1.5K↓ —
- render-split-screen-creatorgooseworks-ai/goose-skillsAssemble a split-screen creator ad from a config: an AI-creator lip-sync take fills the bottom half while real 16:9 product or demo clips play uncropped in the top half over a blurred fill of the same clip (never black bars), with a brand-colour divider between them. Scenes follow the voiceover timing and are joined hard, an end card holds about 3 seconds, then the finished cut is transcribed and word-level captions are burned in the chosen style. Free, deterministic assembly and captions; the voiceover comes from create-vo-elevenlabs, the creator anchor from create-image-gpt-image-fal, and the lip-sync take is supplied as an input. Use for the split-screen-creator format.MediaNo warnings★ 1.3K↓ —
- minutes-recapsilverstein/minutesGenerate a daily digest of today's policy-authorized meetings and voice memos — key decisions, action items, and themes across available recordings. Use when the user asks "recap my day", "what happened in my meetings today", "daily summary", "what did I discuss today", "any action items from today", or wants a consolidated view of the day's conversations.ProductivityNo warnings★ 1.6K↓ —Also in 1 other repo
- learn-my-brandgooseworks-ai/goose-skillsLearn my brand once and stop asking me every time. Use when someone says learn my brand, set up my brand, here's our brand book, remember how we talk, what can we claim, can we say this, approve our claims, sign off our voice, our price or product changed, the client approved the claims, pick up where we left off, or check our claims are still current. Reads what GooseWorks already found about the brand, asks only the gaps as drafts to confirm, audits every claim (including ones research marked approved) and gets the ones that matter signed off with proof, scope and review date, turns the voice into rules the owner confirms, checks logo, colours and fonts, and saves it all as it goes so every other job loads it instead of asking. Ends with an unknowns list and a read-back. Not for who our customers are and what they say (use research-audience) or writing positioning from scratch (not covered yet).ScienceNo warnings★ 1.3K↓ —
- grantsalirezarezvani/claude-skillsUse for any NIH funding question ('find grants for my research', 'which NIH institute'). Maps the idea to institutes, study sections and NOSIs via RePORTER, matches mechanisms with mechanism_matcher.py and writes a .docx strategy. NIH only.DocumentsNo warnings★ 29.3K↓ —
- competitor-ad-intelligencegooseworks-ai/goose-skillsScrape competitor ads from Meta, TikTok, Google, and LinkedIn ad libraries, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing page funnels, and produce a strategic teardown with vulnerability analysis and counter-play recommendations. Use when you need to understand the competitive ad landscape, find new creative directions, or identify weaknesses in a competitor's paid strategy.MarketingNo warnings★ 1.3K↓ —
- 02-ref-hallucination-arenaagentscope-ai/OpenJudgeBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.ScienceNo warnings★ 1.1K↓ —
- wrap-upalirezarezvani/claude-skillsUse when closing out a launched managed agent ('wrap up', 'what do I own now'). Inventories primitives with primitives_inventory.py, regenerates the overview with overview_page.py and suggests next upgrades with upgrade_suggester.py.OtherNo warnings★ 29.3K↓ —
- minutes-cleanupsilverstein/minutesManage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.OtherNo warnings★ 1.6K↓ —Also in 1 other repo
- design-tokenshashgraph-online/awesome-codex-pluginsUse when the user asks for design tokens, DTCG tokens, theme systems, color/typography/spacing/radius/elevation/motion tokens, translating tokens, exporting tokens, making a Compose color scheme from a palette, auditing tokens, or sharing a single token source across web and native. Generates, audits, and translates W3C DTCG tokens to Tailwind v4 @theme, CSS variables, Compose Material3 ColorScheme/Typography, SwiftUI Color/Font extensions, and WinUI ResourceDictionary while preserving semantic naming and platform constraints. SKIP when no token/theme-system work is involved.DesignNo warnings★ 1.5K↓ —
- pricing-strategistalirezarezvani/claude-skillsUse when choosing or revisiting pricing: seat, usage, value-based, freemium or hybrid, Van Westendorp willingness-to-pay analysis, or Good/Better/Best tiers. Runs pricing_model_picker.py, wtp_analyzer.py and packaging_designer.py and returns a range, not one number.OtherNo warnings★ 29.3K↓ —
- minutes-prepsilverstein/minutesInteractive meeting preparation — builds a relationship brief and talking points before a call. Use when the user says "prep me for my call with", "I'm meeting with X", "prepare me for", "what should I bring up with", "meeting prep", "get ready for my call", or wants to review history with someone before a meeting.EngineeringNo warnings★ 1.6K↓ —Also in 1 other repo
- plan-campaign-channel-decisiongooseworks-ai/goose-skillsStep of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- minutes-listsilverstein/minutesList recent meetings and voice memos. Use when the user asks "what meetings did I have", "show my recent recordings", "any meetings today", "list my voice memos", or wants an overview of their meeting history. Also use when they need to find a specific meeting by browsing rather than searching.PlanningNo warnings★ 1.6K↓ —Also in 1 other repo
notebooklm
alirezarezvani/claude-skills
DocumentsUpdated 15 hours ago
From the author
Use for anything in Google NotebookLM: querying notebooks, adding sources, generating Audio or Video Overviews, reports, flashcards or slides. Drives the browser; needs browser automation.
Install
npx skills add alirezarezvani/claude-skills --skill notebooklm -a claude-code
Installs to .claude/skills/notebooklm/ · 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
Runs bundled scriptsNo network use seenLicence: MIT
Safety checks on SKILL.md
- Ships scripts we have not reviewedLow
Why 88
Security85
Provenance94
Maintenance100
Licence100
Adoption69
Files (7)
- SKILL.md
- references/async_action_discipline.md
- references/browser_automation_canon.md
- references/studio_output_custom_prompts.md
- scripts/action_router.py
- scripts/async_action_classifier.py
- scripts/custom_prompt_template_generator.py