The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 600 files from 1 763 authors, of which 61 947 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
> Generate high-converting landing pages with page structure, copy frameworks (PAS, AIDA, BAB), CTA strategy, SEO meta, and Core Web Vitals optimization. Use when creating landing pages, campaign pages, lead capture pages, or conversion pages.
> Growth marketing covering experimentation, funnel optimization, acquisition channels, retention, and viral growth. Use when designing A/B experiments, optimizing AARRR funnel stages, or prioritizing channels by CAC and LTV.
> dark mode, multi-provider sending, and spam score optimization. Use when setting up transactional email, building email design systems, or debugging deliverability.
> (alpha, beta, GA), channel strategy, Product Hunt playbooks, and post-launch momentum. Use when launching a new product or feature, or planning a Product Hunt launch.
> Marketing analytics covering campaign analysis, attribution and marketing mix modeling, ROI measurement, and performance reporting. Use when analyzing campaign ROI, comparing attribution models, or optimizing budget allocation.
> Create and maintain the foundational context doc (positioning, ICP, competitive landscape, brand voice, customer language) that other marketing skills read first. Use when setting up context, defining the ICP, or setting brand voice.
> Multi-channel demand generation, paid media optimization, SEO strategy, and partnership programs for Series A+ startups
> Library of 139+ proven marketing strategies organized by category, stage, budget, and timeline across content, SEO, paid, social, email, and growth. Use when brainstorming marketing ideas, planning growth strategies, or ideating campaigns.
> Plan, execute, and optimize paid ad campaigns across Google, Meta, LinkedIn, Twitter/X, and TikTok, covering targeting, budget, bid strategies, and retargeting. Use when running PPC campaigns, setting up ad accounts, or optimizing ROAS/CPA.
> Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry.
> Central marketing operations hub for MarTech stack, automation, attribution, campaign orchestration, and skill routing. Use when routing marketing questions, orchestrating multi-skill campaigns, or managing the MarTech stack and automation.
> Apply behavioral psychology, cognitive biases, and 70+ mental models to marketing for conversion optimization, pricing, copy, and campaigns. Use for persuasion, behavioral science, why people buy, consumer behavior, or neuromarketing.
> Programmatic page generation at scale using template-based SEO and data 100-100K+ pages. Use when building SEO pages at scale or scoping a programmatic SEO build.
> Technical SEO auditing covering crawlability, indexation, Core Web Vitals, on-page optimization, and competitive gaps, with an 85-point checklist and remediation plans. Use when auditing technical SEO or diagnosing indexation issues.
> Structured data implementation, validation, and optimization. Covers JSON-LD patterns for 20+ schema types, rich snippet eligibility, AI search visibility, Knowledge Graph optimization, and CMS-specific deployment guides.
> SEO covering technical SEO, content optimization, link building, keyword research, and search analytics. Use when auditing technical SEO, researching keywords, optimizing on-page elements, or analyzing organic search performance.
> Create social media content across LinkedIn, Twitter/X, Instagram, TikTok, and Facebook with platform formats, hook formulas, and content pillars. Use when creating social posts, planning calendars, or writing LinkedIn posts and threads.
> Information architecture, URL hierarchy, internal linking strategy, navigation design, and silo structure for websites. Covers architectural audits, new site planning, crawl equity optimization, and topic cluster mapping.
> Social media campaign analysis and performance tracking that calculates engagement rates, ROI, and cross-platform benchmarks. Use for analyzing social performance, calculating engagement rate, or measuring campaign ROI.
> pillars, editorial calendars, community engagement, and crisis response. Use when building social strategy, planning content calendars, or conducting social audits.
> This skill should be used when the user asks to "plan video content", "create a video calendar", "optimize video SEO", "analyze thumbnail performance", "improve video titles", "schedule video production", or "build a YouTube strategy".
> This skill should be used when the user asks to "analyze tweets", "grow on Twitter", "build Twitter threads", "optimize X posting schedule", "track follower growth", "improve tweet engagement", or "create a Twitter content strategy".
> Generate one-page meeting briefings from structured input (attendees, prior context, decisions needed). Use before customer calls, board meetings, or
> Build a trusted capture-and-triage front door so no commitment lives in your head. Use when open loops keep slipping, an inbox has become a backlog, or vague notes never turn into action.
> Protect, design, and measure focused work — block defence, session structure, interruption budgets, and deep-work ratio. Use when the calendar is fragmented, focus blocks keep getting eaten, or output has stalled.
> Validate a monthly investor update against a rubric of strong-update sections (transparency, decision-relevance, specific asks). Use before sending a monthly investor update or setting a fundraise communication cadence.
> Classify a batch of emails into action categories (reply now, reply later, archive, delete, unsubscribe) and surface unsubscribe candidates. Use after a busy week, running inbox zero, or triaging email overload.
> Generate and score candidate brand, product, and domain names for memorability and pronounceability. Use when naming a new product, company, or feature, brainstorming brand names, or finding an available .com.
> Categorize invoices and receipts by vendor, expense, and tax bucket, detect duplicates, and produce a tax-ready monthly summary. Use during bookkeeping, tax prep, or expense reimbursement.
> Qualify and prioritize sales leads against an ICP, score lead lists, and draft personalized outreach hooks. Use when building a target account list, qualifying inbound leads, prepping for outreach, or scoring prospects.
> Analyze meeting transcripts to extract decisions, action items, owners, due dates, open questions, and risks. Use after recorded meetings, sales calls, customer interviews, or planning sessions, or to build a decision log.
> Score a pitch deck's structure and content against YC, Sequoia, and a16z heuristics. Use before sending a deck to investors, practicing a pitch, or reviewing a seed or Series A fundraising deck.
> Turn reflection into decisions by scoring predictions against outcomes and tracking whether commitments held. Use when running a quarterly review, scoring forecast calibration, or reflection keeps producing notes instead of change.
> Synthesize a week of inputs (calendar, tasks, journal, OKR check-ins) into a structured review with wins, learnings, blockers, and next-week priorities. Use for a Friday/Sunday weekly review, GTD review, or OKR check-in.
> Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
> Tailor a resume to a job description by extracting keywords, scoring match, and rewriting bullets for impact. Use when applying to a role, optimizing for ATS keyword match, or customizing a cover letter.
> Agile product ownership for backlog management and sprint execution. Use for writing user stories and acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing a backlog.
> Apple Human Interface Guidelines expert across iOS, iPadOS, macOS, watchOS, tvOS, and visionOS. Use when designing or reviewing an Apple-platform app, auditing for HIG compliance, picking native components, or validating accessibility.
> Design systems leadership across component libraries, design tokens, and design-dev collaboration. Use when architecting a token system, building a component library, defining governance, or generating cross-platform tokens.
> Product analytics for instrumenting products, defining metrics, and building retention funnels. Use when designing a metric tree, instrumenting a feature, auditing instrumentation, defining a North Star, or building an analytics roadmap.
> Product design across UI/UX, design systems, prototyping, and user research. Use when creating user journey maps, building wireframes, defining design tokens and component systems, planning usability tests, or establishing design principles.
> Product manager toolkit covering RICE prioritization, customer interview analysis, PRDs, and discovery frameworks. Use for feature prioritization, user research synthesis, requirement documentation, or product strategy.
> Strategic product leadership toolkit for Head of Product including OKR cascade generation, market analysis, vision setting, and team scaling. Use for strategic planning, goal alignment, competitive analysis, and organizational design.
> Synthesize raw user research (interviews, surveys, tickets) into themed findings and decision-ready briefs. Use when synthesizing user interviews, building a findings brief, or communicating research to stakeholders.
> ticket decomposition, branch strategy, and PR sequencing. Use when breaking a PRD into tickets or designing the branch/PR sequence.
> Translate one internal roadmap into audience-appropriate formats with confidence-band discipline. Use when preparing a roadmap readout, tailoring it for an exec, customer, eng, or sales audience, or auditing over-promise risk.
Image processing skill for cropping images to 50% from center and rotating them 90 degrees clockwise. This skill should be used when users request image cropping to center, image rotation, or both operations combined on image files.
Replace text in fillable PDF forms by updating form field values. This skill should be used when users need to update names, addresses, dates, or other text in PDF form fields.
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| Discover and list all URLs on a website without extracting content, via the Tavily CLI. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says "map the site", "find the URL for", "what pages are on", "list all pages", or "site structure". Faster than crawling — returns URLs only. Essential when you know the site but not the exact page. Combine with extract for targeted content retrieval.
| Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead.
| Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says "extract", "grab the content from", "pull the text from", "get the page at", "read this webpage", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call.
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.
| Programmatic web search with context isolation. Use this skill for any research task where you need to search the web, filter results, and extract specific information — without polluting your context window with raw HTML and boilerplate. This is the default skill for web research. Triggered by "search for", "look up", "find", "research", "what's the latest on", or any query that requires current web information. Also use when asked to "search and filter", "find the important parts", or "extract the key details" — any case where the user wants curated, noise-free content.
| Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says "crawl", "get all the pages", "download the docs", "extract everything under /docs", "bulk extract", or needs content from many pages on the same domain. Supports depth/breadth control, path filtering, semantic instructions, and saving each page as a local markdown file.
> Apply FlashDreams-style inference speedups to model integrations after a `torch.compile`, CUDA graph capture, attention backend checks, decoder layout or replacement, transfer/materialization changes, and ordered presentation tuning. Use when porting known optimizations into a runner, demo, serving adapter, or downstream integration while preserving quality and reset behavior.
Design benchmark, quality, and documentation validation for FlashDreams-style performance changes. Use when adding or updating sweep commands, profiler probes, decoder-quality comparisons, compile/cache probes, manual GPU validation, performance summaries, model cards, or README guidance after optimizing a model integration, demo, or serving path.
> Inspect and baseline performance for FlashDreams-style model integrations and build focused probes, and identify whether decode, model/denoise, cache, data transfer, or presentation dominates. Use when starting performance work on an existing model runner, demo, serving path, or downstream integration before implementing speedups. Pair with `apply-inference-optimizations` after the bottleneck is known and `validate-performance-quality` for benchmark and quality gates.
Navigate the FlashDreams package layout and integration architecture: core vs infra vs recipes vs workspace integrations, Transformer/Encoder/StreamingDecoder/Pipeline config contracts, AR caches, CP, CFG, KV cache, CUDA graph wrapping, runner registration, and test placement. Use when adding or editing built-in recipes under flashdreams/flashdreams/recipes/, plugin packages under integrations/, model configs, pipeline wiring, or when the user asks where code belongs. The template recipe is the reference design.
End-to-end workflow for porting an external video diffusion model into a flashdreams integration — scope the architecture, scaffold a workspace-member plugin, reuse an existing recipe, write the checkpoint key-remap, layer model-specific conditioners, wire the runner, and verify with checkpoint weight-equality + upstream parity + a GPU rollout. Use when integrating a new model (e.g. a HuggingFace/research release) into flashdreams or a downstream repo, porting upstream weights, or reproducing an existing integration. Pairs with the `flashdreams-integrations` skill (architecture map) — this skill is the ordered procedure; that one is the contract reference.
Answers built from the skills we actually parsed.