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. 79 404 files from 1 741 authors, of which 61 763 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.
UX designer — user flows, information architecture, wireframes, and interaction design.
Usability review — evaluate an existing flow or UI against usability heuristics, flag friction points, and recommend fixes. Use when asked to "review the UX", "usability audit", "what's wrong with this flow", "UX feedback", "critique this design", or "why are users dropping off here".
Run a user interview — produce an interview guide and synthesize the output into an actionable insight report. Use when asked to "run a user interview", "synthesize these interview notes", "what do users actually want", "build a persona from this feedback", "find the JTBD in these transcripts", or "analyze this interview data".
Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze support tickets", "what are users complaining about", "NPS analysis", "churn feedback synthesis", or "what's the feedback telling us".
Jobs-to-Be-Done analysis — given a product, user descriptions, transcripts, or tickets, produce a JTBD job map with switching forces analysis and opportunity ranking. Use when asked to "find the JTBD", "what jobs are users hiring us for", "job mapping", "what are users really trying to do", "JTBD framework", or "why are users switching".
User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Use when asked to "what research exists", "review existing personas", "what do we know about our users", or before starting new research or synthesis work.
User segmentation and persona creation from mixed data sources — analytics, CRM, support tickets, reviews, or any combination. Use when asked to "build personas", "who are our users", "segment our users", "create user profiles", "define user archetypes", or "who is the target user".
User researcher — interviews, personas, Jobs-to-Be-Done, and customer feedback synthesis.
Data quality and pipeline health check — freshness, schema drift, null rates, orphaned records, pipeline status. Use when asked about "data quality check", "pipeline health", "is our data fresh", or "schema drift".
Build zero-downtime database migrations — forward SQL, rollback SQL, deployment sequence. Use when asked to "write migration", "schema change", "add column", "rename table", "drop column", or "migrate safely".
Build a data pipeline — ETL/ELT with extraction, transformation, loading, error handling, and scheduling. Use when asked to "build ETL", "data pipeline", "move data from X to Y", or "sync data".
Database reconnaissance — full inventory of schema, migrations, data volume, backups, connection pooling, and query patterns. Use when asked to "assess this database", "understand the schema", or "database health check".
Design and build database schema — tables, columns, types, indexes, constraints, relationships. Given a domain description, output the schema and write the files. Use when asked to "design schema", "database design", "create tables", or "data model".
Data engineer — databases, migrations, pipelines, schema design, and query optimization.
Audit existing infrastructure for security issues, waste, and misconfigurations. Use when asked to "audit my infra", "check cloud setup", "infra review", "are we wasting money", "security check on infra", or "review my terraform".
Diagnose runtime infrastructure issues — cold starts, timeouts, scaling problems, network failures. Use when asked about "infra is slow", "cold starts", "network issues", "why is this timing out", "scaling problem", "latency spikes", or "service is down".
Audit cloud infrastructure costs and produce a concrete optimization plan with specific changes and estimated savings. Use when asked to "how much is this costing", "reduce cloud spend", "cost optimization", "are we overpaying", "cloud bill", or "budget for this infra".
Build production-grade infrastructure as code for a service or project. Use when asked to "set up infra", "provision infrastructure", "create cloud resources", "IaC for this project", "terraform for this", or "deploy this service".
Design and build networking infrastructure — VPCs, subnets, DNS, load balancers, firewall rules. Use when asked to "set up networking", "VPC design", "configure DNS", "load balancer setup", "network architecture", or "firewall rules".
Infrastructure reconnaissance — inventory all cloud resources, map connections, flag risks. Use when asked to "inventory our infra", "what infrastructure do we have", "map our cloud resources", "infra discovery", or "what's running in our cloud".
Infrastructure engineer — cloud services, IaC, networking, cost optimization.
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| Translate a design brief — structured I-Lang or plain English — into a concrete DESIGN.md and optional HTML token preview. Resolves 8 dimensions (palette, accent, typography, display font, layout, mood, density, constraints) to specific CSS tokens. Use when asked to "create a design brief", "write a DESIGN.md", "define the design system", "design brief for X", "what tokens should we use", or "I-Lang brief".
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Optimize slow database queries — analyze execution plans, add indexes, rewrite queries. Use when asked about "slow query", "optimize SQL", "query performance", or "explain this query".
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| Theory-backed design audit — names the principle violated, cites the source, shows the fix. Use when asked to "evaluate design quality", "check if this follows design principles", "theory check", "design exam", "audit against best practices", or "what's wrong with this design".
| Use when asked to generate a color palette, create industry-matched colors, or "healthcare app colors", "SaaS brand colors"
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| Use when asked to select a UI style, choose a design direction, pick a visual fits a fintech app", "choose between neumorphism and glassmorphism", "design direction for healthcare SaaS"
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Visual designer — brand identity, color systems, typography, design tokens, and UI design.
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Scope arbitration — resolve disagreements between product and engineering on what is in or out of scope, with a decision log and escalation path. Use when asked to "resolve this scope disagreement", "arbitrate between product and eng", "scope is creeping", "we can't agree on what's in scope", or "help us decide what to cut".
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Product landscape reconnaissance — survey existing briefs, research, strategy, and team output before writing new briefs or dispatching specialists. Use when asked to "understand the product state", "what briefs exist", "what has the team produced", "orient me on this product", or before starting a new product initiative.
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Build a content calendar — editorial plan, publishing cadence, topic assignment, and distribution workflow. Use when asked to "build a content calendar", "plan our content for the quarter", "how often should we publish", or "create an editorial schedule".
Write customer case studies and success stories — interview guide, story structure, and publish-ready case study with metrics. Use when asked to "write a case study", "document a customer success story", "create social proof content", or "write about how [customer] uses the product".
Write a blog post or article — research the keyword, draft the post, and produce publish-ready content with SEO optimization. Use when asked to "write a blog post", "write about [topic]", "draft an article", or "write a tutorial".
Content marketing reconnaissance — audit current content, SEO health, competitor content gaps, and content distribution. Use when asked to "audit our content", "what's our SEO state", "where are the content gaps", or before designing a content strategy.
Content Marketing engineer — blog strategy, SEO, thought leadership, developer content, case studies, and content calendar.
SEO strategy and keyword research — build topic clusters, keyword gap analysis, on-page audit, and prioritized SEO roadmap. Use when asked to "improve our SEO", "do keyword research", "build a topic cluster", or "why aren't we ranking".
Design expansion revenue playbooks — upsell triggers, seat expansion sequences, tier upgrade paths, and cross-sell motions. Use when asked to "grow existing customers", "increase NRR", "design upsell", or "how do we get customers to expand".
Head of product — orchestrate the product team, write briefs, plan initiatives, hand off to Apex.
Design a customer health scoring model — define signals, weights, thresholds, and action triggers. Use when asked to "build health scoring", "how do we predict churn", "what signals indicate a customer is at risk", or "design our health model".
Write churn prevention and win-back playbooks — risk intervention sequences, save conversation guides, and win-back email campaigns. Use when asked to "prevent churn", "save at-risk customers", "win back churned customers", or "build a save play".
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Customer Success engineer — onboarding optimization, health scoring, expansion revenue, churn prevention, and NRR growth.
Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive decisions. Recommend what to keep, kill, or add. Use when asked "are our dashboards useful", "analytics review", or "metrics audit".
| Use when asked to select chart types for analytics dashboards, choose BI "dashboard visualization for metrics", "analytics chart selection"
Design and spec an analytical dashboard — define the question each chart answers, write the SQL queries, spec the layout and refresh cadence. Produces a complete dashboard spec ready to implement. Use when asked to "build a dashboard", "analytics dashboard", "BI dashboard", "weekly product health", or "visualize this data".
Optimize customer onboarding — map the activation sequence, identify drop-off points, design the aha moment, and produce the onboarding email sequence. Use when asked to "fix onboarding", "improve activation", "time-to-value is too slow", or "customers aren't getting started".
Produce a complete metrics definition doc — metric name, formula, data source, segmentation, SQL or event tracking spec, and what good/bad looks like. Given a product area, outputs the full metrics spec. Use when asked to "define KPIs", "metrics framework", "what should we measure", "north star metric", or "instrument this feature".
Customer success reconnaissance — audit current onboarding completion, health signals, NRR, churn patterns, and CS motion. Use when asked to "audit our customer success", "why are customers churning", "what's our NRR", or before designing any CS playbook.
Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Use when asked "what analytics exist", "BI assessment", or "what do we track".
Claude Skills — questions
Answers built from the skills we actually parsed.