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.
49,492 skills from 2,391 repositories · updated 5 hours ago
49,492 skills
- slKaelio/ktxktx's semantic layer - a structured catalog of sources (tables/views), measures, joins, and segments expressed as YAML. Covers the schema and how to query it via `sl_query`. Use when the task involves querying pre-defined metrics (ARR, churn, retention, LTV, MAU) or reading SL source YAML to understand the catalog. Capture is handled by the `sl_capture` skill (memory-agent only).ProductivityNo warnings★ 1.6K↓ —
- dbt_ingestKaelio/ktxMap dbt `schema.yml` / `properties.yml` models and sources into ktx semantic-layer overlays and column notes. Covers `sources:` vs `models:`, column `data_tests` (not_null, unique, accepted_values, relationships), and how bundle-time writes complement manifest backfill from git sync. Load when the WorkUnit's `skillNames` includes `dbt_ingest` or when raw files are dbt YAML under `models/` / `sources/`.DataNo warnings★ 1.6K↓ —
- founder-competitorsJakeschincariol/founder-skillMaps every competitor and the gap they leave. Finds the direct competitors, indirect ones and the substitutes a buyer would use instead, from public sources only, and records what each sells, at what price, how they position themselves and what their customers complain about in public reviews, every fact with a link. Ends with a positioning map and the gap the new business can own. Use when the user says "who are my competitors", "is this market crowded", "what else is out there", "competitor analysis", "find the gap", or "who am I up against".OtherNo warnings★ 2.4K↓ —
- cost-accountingcbrock84/headcountEstablishes what something actually costs — fixed, variable and mixed cost behavior, absorption versus variable costing, job-order, process and activity-based methods, breakeven and operating leverage, and price/volume/mix decomposition. Use this to set a price floor, explain why revenue or margin moved, decide make versus buy, judge whether a product line earns its place, or work out how an allocation basis is distorting a reported margin.FinanceNo warnings★ 2.6K↓ —
- hivemind-graphactiveloopai/hivemindQuery the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what is the architecture / which subsystems exist?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).PlanningNo warnings★ 1.6K↓ —
- bigquery-migration-sql-translatorgoogle/skillsTranslates SQL queries, DDL schemas, and stored procedures from legacy database dialects (Teradata, Oracle, Redshift, Snowflake, SparkSQL, HiveQL) to BigQuery GoogleSQL using the BigQuery Migration Service (BQMS) MCP server. Use when translating legacy SQL queries, migrating schemas or metadata zip archives, or configuring BigQuery Migration Service (BQMS) YAML translation settings. Don't use for executing BigQuery queries or managing datasets and tables (use bigquery-basics), diagnosing runtime job errors (use bigquery-troubleshooting), or tuning slot reservations (use bigquery-optimization).OfficialDataNo warnings★ 21.9K↓ —
- unit-economicscbrock84/headcountEstablishes whether the business makes money on each customer or unit — contribution margin, acquisition cost, payback period, lifetime value, and the cohort behavior underneath. Use this to assess whether growth is profitable, evaluate a channel or segment, support a pricing decision, judge how fast the business can afford to grow, or diagnose why revenue growth is not producing profit.MarketingNo warnings★ 2.6K↓ —
- ayeayeLeoYeAI/agent-master-skillsAyeAye — Social network for AI agents. Get a permanent identity, make friends, join group chats, and level up from plankton to King Lobster. Say '使用 ayeaye' to get started!PlanningNo warnings★ 2.2K↓ —
- mitarbeiterKlotzkette/claude-fuer-deutsches-rechtFür Mitarbeiter: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Berufsrecht Anwälte.OtherNo warnings★ 1.8K↓ —
- pokerLeoYeAI/agent-master-skillsNo-limit Texas Hold'em benchmark for AI agents. Multi-street reasoning under uncertainty with virtual chips, behavioral analytics, and strategic game plans.DataNo warnings★ 2.2K↓ —
- hivemind-goalsactiveloopai/hivemindCreate, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.EngineeringNo warnings★ 1.6K↓ —
- product-launchcbrock84/headcountTakes something built and gets it into the market — tiering the launch to match what it actually warrants, sequencing internal readiness before external announcement, preparing sales and support to answer the questions it creates, choosing the date for a reason, and measuring adoption rather than announcement reach. Use this to plan a launch, right-size one that is consuming more than it deserves, work out why a released feature nobody uses was launched loudly, or run the weeks after launch day.PlanningNo warnings★ 2.6K↓ —
- deal-negotiationcbrock84/headcountNegotiates a commercial deal without giving away the terms that matter — preparing your walk-away and theirs, trading concessions rather than conceding them, recognizing the tactics that create false urgency, protecting price by moving other variables, and closing on terms someone can actually deliver. Use this to prepare for a negotiation, respond to a demand mid-deal, work out why discounts keep landing at quarter end, or review terms before they are signed.FinanceNo warnings★ 2.6K↓ —
- crossing-the-chasmwondelai/skillsNavigate the technology adoption lifecycle from early adopters to mainstream market. Use when the user mentions "crossing the chasm", "beachhead segment", "whole product", "early adopters vs mainstream", "tech go-to-market", "bowling pin strategy", "technology adoption lifecycle", "pragmatist buyers", "growth stalled after early adopters", or "our go-to-market plan". Also trigger when planning go-to-market for a technical product. Covers the D-Day analogy, bowling-pin strategy, the tornado, and positioning against incumbents. For product positioning, see obviously-awesome. For new market creation, see blue-ocean-strategy.MarketingNo warnings★ 2.6K↓ —Also in 2 other repos
- brainstormcodeaholicguy/ai-devkitAI DevKit · Use when the user asks to brainstorm, ideate, generate ideas, expand options, challenge ideas, pressure-test ideas, compare concepts, narrow choices, name something, plan content angles, explore strategy, evaluate product ideas, technical approaches, experiments, or decisions.PlanningNo warnings★ 1.7K↓ —
- tddcodeaholicguy/ai-devkitAI DevKit · Test-driven development — write a failing test before writing production code. Use when implementing new functionality, adding behavior, or fixing bugs during active development.TestingNo warnings★ 1.7K↓ —
- rechenblattKlotzkette/claude-fuer-deutsches-rechtFür JVEG-Rechenblatt: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- winmd-api-searchgithub/awesome-copilotFind and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI/ML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).EngineeringNo warnings★ 40.8K↓ —
- deepspot-mK-Dense-AI/scientific-agent-skillsGenerates transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Used for predicted log1p-CPM expression from 224x224 tiles at about 20x, querying the released protein-coding gene panel by symbol, and whole-slide prediction after resolution-aware tiling with histolab.DocumentsNo warnings★ 56.1K↓ —
- support-operationscbrock84/headcountDesigns and runs the support function — channels, queues, routing, staffing, service levels, quality, and the metrics that show whether it is working. Use this to set up or fix support operations, choose channels, size a team, set or renegotiate service levels, reduce cost per contact, diagnose long queues or poor quality, or decide what to automate.OtherNo warnings★ 2.6K↓ —
- sympysickn33/agentic-awesome-skillsSymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.EngineeringNo warnings★ 49.1K↓ —
- quantitative-analysiscbrock84/headcountAnswers a business question with data without fooling yourself — framing the question so an answer would change something, choosing the right comparison, checking the data before trusting it, recognizing the traps that produce confident wrong answers (aggregation reversals, survivorship, regression to the mean, multiple comparisons), and reporting uncertainty honestly. Use this to run an analysis, review one before acting on it, or work out why two people looking at the same data reached opposite conclusions.EngineeringNo warnings★ 2.6K↓ —
- labarchive-integrationK-Dense-AI/scientific-agent-skillsIntegrates with the official LabArchives ELN REST-like API and Inventory API v1. Supports regional endpoint selection, signed-request construction, user authorization and UID flows, local LA container validation, and verified LabArchives integration workflows.EngineeringNo warnings★ 56.1K↓ —
- richtlinien-entwurfKlotzkette/claude-fuer-deutsches-rechtFür Richtlinien Entwurf: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
data-modeling
cbrock84/headcount
DataUpdated Oct 18, 2026
From the author
Designs the warehouse and semantic layer — source-to-mart structure, dimensional modeling, grain, slowly changing dimensions, and the metric layer analytics reads through. Use this to design or restructure a warehouse, model a new source, decide on grain or table structure, build a semantic or metric layer, or diagnose why queries are slow, wrong, or impossible to write.
Install
npx skills add cbrock84/headcount --skill data-modeling -a claude-code
Installs to .claude/skills/data-modeling/ · 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
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