Claude Skills
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.
Run a cumulative daily or retrospective sweep of research papers on a chosen topic, audit their claims, methods, integrity signals, and independent support, then identify overlooked but feasible project or business opportunities in a detailed source-grounded report. Use when asked to monitor papers every day, mine buried research, evaluate whether a paper is credible or reproducible, find unimplemented research ideas, or separate promising work from hype, weak evidence, and retracted or contradicted results.
Map the big picture around a topic or software repository by identifying its boundaries, layers, actors, components, relationships, flows, history, fault lines, and open questions, then explain how the pieces fit together and where to look next. Use when a user asks to understand a whole field, domain, technology, ecosystem, industry, codebase, architecture, unfamiliar repo, or phrases such as "give me the big picture", "map the landscape", "how does this all fit together?", "help me get oriented", or "what am I missing?
Inspect an unfamiliar repository, interpret a broad Markdown user journey at runtime, operate the real product through its supported web, API, CLI, desktop, or mobile surface, and produce an auditable pass, fail, or blocked judgment with screenshots, logs, recordings, and a step timeline when available. Use when asked to run smoke tests, validate an end-to-end user journey, dogfood a product, test a release candidate, or execute a non-deterministic workflow that may include authentication or human checkpoints. Do not use as a substitute for deterministic unit, integration, or scenario tests.
Teach any topic deeply from first principles and build evidence-based paths toward exceptional capability. Use when a user asks to understand, explain, learn, or deep-dive into a topic; asks why or how something works, why it matters, how alternatives compare, or what different perspectives reveal; requests current paradigms, a complete roadmap or curriculum, deliberate practice and feedback, or a top-1%-level mastery plan. Answer explanation questions completely before offering a curriculum; route explicit mastery goals to an adaptive practice and proof-of-capability system.
Profile and debug Hermes sessions from their JSONL transcripts. Find a session and its subagents, build a queryable event table, summarize the work as a hierarchical table of contents, break down wall time, inference, tools, tokens, and estimated cost per agent, identify errors and improvement opportunities, and export a shareable Perfetto trace. Use when a user wants to inspect what a Hermes session did, debug agent or subagent activity, understand session cost or latency, create a session timeline, generate a trace, or learn how to improve the next agent run.
>- Run an honest market-fit and viability audit of any project or idea and produce a decision doc, not code. Use when someone asks "is this viable as a business", "audit the market fit", "make the case and compare to competitors", "should I apply to YC or bootstrap", or wants to validate a project, product, or market before investing more time. Gathers verifiable traction data first, researches the competitive field, gets an independent cold read, writes a doc with pre-committed pass/middle/kill criteria and a concrete week-1 assignment, then hardens it with an adversarial review loop.
>- Write and ship a blog post for your project that reads like a human wrote it and pulls SEO traffic to your site. Use when a contributor wants to draft, edit, or publish a blog post, add a post to the site, write about the project for search/traction, or make an existing draft sound less like AI. Enforces the house voice (no em dashes), picks a non-cannibalizing angle, uses ASD-STE100 Simplified Technical English for technical prose, wires the post into your site, and runs the humanizer pass before shipping.
Process audio and video with clipping, conversion, analysis, captions, thumbnails, GIFs, and batch utilities. Use for practical media manipulation workflows.
Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation. Use when creating or refactoring MCP integrations.
Process images for cleanup, conversion, metadata, comparison, icons, palettes, collages, and sprite sheets. Use for single-image or batch image workflows.
Parse, convert, geocode, visualize, and measure geographic data. Use for address cleanup, geo file conversion, mapping, and distance workflows.
Convert PDFs, Office docs, markdown, HTML, and tables between editable formats. Use for best-effort document conversion, PDF utilities, form filling, and table extraction.
Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs.
Run multi-indicator technical analysis on crypto or market OHLCV data. Use for deterministic trend, momentum, volume, and divergence analysis.
Run loan, investment, NPV, retirement, savings, and risk calculations with schedules and charts. Use for deterministic financial modeling tasks.
Extract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing.
Generate QR codes with clean URLs, optional UTM parameters, captions, and print-safe exports. Use for single codes or batch campaign generation.
Generate deterministic SVGs from structured specs with validation and rendering. Use for icons, diagrams, charts, UI mockups, and technical drawings.
Create or update agent skills with concise SKILL.md instructions, bundled resources, agent metadata, validation, and packaging. Use when building or refactoring skills.
Generate ad copy variations for Google, Meta, and LinkedIn Ads
Conversion Tracking Debugger — diagnose discrepancies across GTM, GA4, Google Ads & Meta Pixel with live API access, BigQuery validation queries, and troubleshooting flowcharts
Build a portable brand-kit.json for the user's product — colors, typography, voice — that other skills (video, ad creative, landing page) can consume. Multiple discovery paths so it works whether the user has access to their site's source code or only a public URL or just a logo image.
Deep Google Ads account audit — keywords, quality scores, budget pacing, search terms
Weekly read on Discord community health — joins, active channels, top contributors, themes, and unanswered questions
Meta Ads audit — audience analysis, creative fatigue, budget pacing, lead quality
Run Cogny marketing analysis tasks — fetch scheduled tasks, analyze ad accounts via MCP, report findings
Research competitor positioning, ads, pricing, and market gaps
Analyze HubSpot CRM data to build a data-driven Ideal Customer Profile from closed-won deals, contacts, and companies
Analyze HubSpot pipeline momentum — deal velocity, stage conversions, win/loss patterns, and stall detection
Find contacts stalled at funnel stages (abandoned cart, signed-up-but-no-trial, trial-but-no-convert), draft stage-appropriate re-engagement emails, and schedule sends via your ESP — with dedupe so weekly reruns never double-send
Google Ads Demand Gen audit — audience strategy, creative format diversity, creative freshness, placements, CPA vs goal
Google Analytics 4 configuration and data-quality audit — key events, data streams, custom dimensions, attribution, retention, PII, Ads link, BigQuery export
Core Web Vitals Reference — LCP, INP, CLS thresholds, root causes, optimization fixes, CrUX BigQuery queries, web-vitals library usage, and SEO impact
Audit a sending domain's deliverability — SPF, DKIM, DMARC, MX, BIMI, blocklists — with a prioritized fix order
Auto-generate the weekly or monthly email performance report in three formats — Slack update, CEO email, board-deck section — from real ESP data
GA4 BigQuery Export Schema Reference — complete field reference, nested structures, query patterns, and performance tips
Google Ads Query Language (GAQL) Reference — complete syntax, resource types, fields, operators, date macros, and ready-to-use query patterns
Weekly GA4 check — sessions, users, key-event conversions, revenue, channel mix — with week-over-week deltas and tracking-break alerts
Build a GA4 measurement plan from a site URL — event taxonomy, parameters, custom dimensions, and key events to mark as conversions
Google Ads Scripts Reference — JavaScript automation, AdsApp object model, selectors, GAQL queries, 10+ working script patterns, MCC parallel processing, Sheets integration
GA4 Event Implementation Reference — complete event taxonomy, parameter lists, implementation patterns (gtag.js, GTM, Measurement Protocol), and validation techniques
Comprehensive Google Ads account audit — campaign structure, budget pacing, conversion tracking, wasted spend — across every campaign type, ranked by estimated $ impact
Weekly Google Ads health check — budget pacing, spend spikes, disapproved ads, conversion-tracking breaks, CPA/ROAS swings — with week-over-week deltas
Weekly GTM container check — new, edited and removed tags, unpublished draft changes, orphaned tags, workspace status — diffed week-over-week
CRO review of a landing page with specific conversion recommendations
Google Tag Manager container audit — tag health, orphaned and paused tags, duplicate GA4 config, trigger coverage, Consent Mode, naming, workspace hygiene
Turn a measurement plan into a Google Tag Manager spec — tags, triggers, variables, and copy-paste dataLayer snippets for every event
Full LinkedIn Ads account audit — campaign structure, targeting, creative performance, spend efficiency
GTM Event Tracking & Setup Reference — dataLayer fundamentals, trigger types, variable types, GA4 tag configuration, debug mode, and best practices
Research and qualify business leads against your ICP
Produce a LinkedIn-native 1:1 (or 16:9) launch video using HyperFrames. Caption-first, sound-off, B2B register, anti-corporate-jargon. Optionally hand off to LinkedIn Ads to launch as a sponsored content campaign with ICP-aligned targeting.
Interview the user for specific client stories, anecdotes, refusals, and real numbers — then turn them into non-commodity SEO content Google actually wants to rank. Kills generic listicle output at the source.
Create precision-targeted LinkedIn ad campaigns for specific ICP segments — translates CRM data to LinkedIn targeting
Meta Conversions API (CAPI) Setup Reference — architecture, event types, customer information hashing, deduplication, implementation examples, AEM, and testing
Build a complete Performance Max campaign from a brand URL — asset group copy, search themes, audience signals, image/video shot list, settings — ready to paste into Google Ads
Performance Max campaign audit — asset group strength, asset coverage, search themes, audience signals, brand exclusions, channel distribution
Audit an email marketing program for revenue leaks — missing flows, dormant high-value subscribers, under-segmentation, promo gaps, stale automations — ranked by estimated $ impact
Pre-flight QA for an email campaign — merge tags, broken links, spam triggers, compliance, mobile rendering — before you hit send
Produce a Reddit-native 1:1 or 4:5 launch video using HyperFrames. Idiomatic Reddit feel — text-first, low-polish, sound-off, subreddit-aware. Optionally hand off to Reddit Ads to launch as a promoted post targeted to specific subreddits.
Google Ads Search campaign audit — match types, quality score, negative keyword gaps, search terms, ad strength, RSA asset coverage
Claude Skills — questions
Answers built from the skills we actually parsed.