Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: AI & models
8,898 results · page 128 of 297
- View details
linearmodelsSkillAI & models
Panel data, IV/GMM, system regression. PanelOLS (FE/RE), BetweenOLS, Fama-MacBeth, IV2SLS/LIML/GMM, SUR, 3SLS, Driscoll-Kraay SEs. Use for RE/between, system estimation, or GMM. Complements pyfixest (FE + DiD) and statsmodels (GLM + time series). R equivalent: plm (use when execution language is R).
Ready to connect★ 235
- View details
plmSkillAI & models
R panel data models with plm: within (FE), random (RE), between, first difference, Fama-MacBeth. Hausman test, panel unit root tests. Includes estimatr for robust estimation and lme4 for mixed effects. Use when execution language is R. Python equivalent: linearmodels. For high- dimensional FE use fi
Ready to connect★ 235
- View details
pyfixestSkillAI & models
Fast high-dimensional fixed effects: OLS, Poisson, IV with multi-way FE; DiD (TWFE, did2s, Sun-Abraham); clustered SEs; etable/coefplot/iplot. Use for FE regressions or DiD. For panel RE/between use linearmodels; for GLM without FE use statsmodels. R equivalent: fixest (use when execution language i
Ready to connect★ 235
- View details
python-r-translationSkillAI & models
Python-to-R translation for data analysis. Maps Python (polars, plotnine, pyfixest, statsmodels, svy, geopandas) to R (tidyverse, ggplot2, fixest, survey, sf). Use when user has Python background or requests Python-equivalent code comments in R pipelines.
Ready to connect★ 235
- View details
qdrant-model-migrationSkillAI & models
Guides your agent through switching Qdrant to a new embedding model without downtime.
Ready to connect★ 235
- View details
stata-python-translationSkillAI & models
Stata-to-Python translation for data analysis. Maps Stata commands (reghdfe, xtreg, ivregress, margins, esttab, svy:) to Python (polars, pyfixest, statsmodels, svy). Use when user has Stata background or requests Stata-equivalent code comments in Python pipelines.
Ready to connect★ 235
- View details
statsmodelsSkillAI & models
Lets your agent run Python statistical models like OLS, ARIMA, and mixed models with diagnostics and inference tables.
Ready to connect★ 235
- View details
tidymodelsSkillAI & models
R machine learning with tidymodels: recipes (preprocessing), parsnip (model specs), workflows (fit pipelines), tune (hyperparameters), rsample (resampling). Engines: ranger (RF), glmnet (lasso/ridge), xgboost, kknn. Model interpretation (permutation importance, PDP/ICE, SHAP via DALEX/iml/kernelshap
Ready to connect★ 235
- View details
direct-seedance-3d-animationSkillAI & models
Plan and prompt a stylized 3D animated short for Seedance 2.0 with stable character identities, environment continuity, causal story beats, shot-specific performance, camera, sound, and clip handoffs. Use when a story needs one 4–15 second generation or a longer multi-clip plan; not for photoreal li
Ready to connect★ 233
- View details
direct-seedance-handdrawn-live-fusionSkillAI & models
Create a Seedance 2.0 prompt for a rough hand-drawn luminous entity that physically contacts a live-action space, continuously transforms while remaining traceable, escapes through adjacent geography, and is followed by a slightly delayed handheld camera. Use for playful 4–15 second mixed-media clip
Ready to connect★ 233
- View details
direct-seedance-paper-collageSkillAI & models
Turn a narration line, knowledge point, opinion, story beat, or abstract concept into a Seedance 2.0 editorial paper-collage clip with a clear visual metaphor, approved final composition, tactile stop-motion assembly, controlled paper texture, purposeful depth, and synchronized collage sound effects
Ready to connect★ 233
- View details
D3.js VisualizationSkillAI & models
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use thi
Ready to connect★ 231
- View details
source-verificationSkillAI & models
Research-process knowledge for verifying the credibility of information sources, guiding the agent to cross-check sources when factual claims are involved.
Ready to connect★ 226
- View details
authoringSkillAI & models
Use when writing, completing, improving, or adapting SKILL.md and agents/*.md in a bundle-plugin — integrating external skills, filling scaffolded stubs, or rewriting for better triggering and token efficiency
Ready to connect★ 229
- View details
project-cairnSkillAI & models
Standardize how an AI-collaboration project turns work into reusable knowledge. Use when initializing or retrofitting Project Cairn in a project, recording progress after meaningful work, maintaining AGENTS/CLAUDE/cairn docs, auditing project knowledge for drift or missing records, pulling and citin
Ready to connect★ 227
- View details
scaffoldingSkillAI & models
Use when generating project structure for new bundle-plugins, adding or removing platform support (Claude Code, Cursor, Codex, OpenCode, Gemini CLI, OpenClaw), updating platform manifests, or migrating hooks and configuration between platforms
Ready to connect★ 229
- View details
wp-performance-reviewSkillAI & models
WordPress performance code review and optimization analysis. Use when reviewing WordPress PHP code for performance issues, auditing themes/plugins for scalability, optimizing WP_Query, analyzing caching strategies, checking code before launch, or detecting anti-patterns, or when user mentions "perfo
Ready to connect★ 229
- View details
project-setupSkillAI & models
Interactive project setup, health check, and migration workflows. Guides developers through project initialization with customized AGENTS.md generation, codebase health analysis using MCP tools, and .NET version migration. Load when: "init project", "setup project", "new project", "health check", "a
Ready to connect★ 227
- View details
art-directorSkillAI & models
Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
Ready to connect★ 226
- View details
Accessibility Manual AuditSkillAI & models
Teach agents to guide manual accessibility audits for keyboard, screen reader, zoom, reflow, focus, and WCAG 2.2 criteria that scanners miss.
Ready to connect★ 225
- View details
Agentic Testing PatternsSkillAI & models
AI-first testing methodology where autonomous agents plan, generate, execute, and maintain test suites with minimal human intervention, covering agent orchestration, feedback loops, and intelligent test prioritization.
Ready to connect★ 225
- View details
AI Agent EvaluationSkillAI & models
Comprehensive evaluation patterns for AI agents including multi-turn conversation testing, LLM-as-judge frameworks, benchmark suites, regression detection, and systematic eval pipelines for measuring agent quality and safety.
Ready to connect★ 225
- View details
AI Test Generation PatternsSkillAI & models
Systematic patterns for prompting AI coding agents to generate high-quality tests including prompt engineering for test creation, coverage-driven generation, mutation-aware testing, and review checklists for AI-generated test code.
Ready to connect★ 225
- View details
Chrome DevTools MCP PerformanceSkillAI & models
Teach agents to use the Chrome DevTools MCP server for performance testing with traces, Core Web Vitals, throttling, and evidence-based analysis.
Ready to connect★ 225
- View details
Cursor Skill (.mdc) AuthoringSkillAI & models
Author effective Cursor rules in .cursor/rules/*.mdc - YAML frontmatter (description, globs, alwaysApply), the four rule types, scoped QA rules, subagents, and structure that actually steers the model.
Ready to connect★ 225
- View details
Django Testing PatternsSkillAI & models
Django application testing with TestCase, fixtures, factory_boy, model testing, view testing, middleware testing, and Django REST framework testing.
Ready to connect★ 225
- View details
Flask Testing PatternsSkillAI & models
Flask application testing with test client, fixture patterns, SQLAlchemy model testing, blueprint testing, and Flask-specific extension testing.
Ready to connect★ 225
- View details
GitHub Copilot Testing PatternsSkillAI & models
Effective patterns for using GitHub Copilot to generate, refactor, and maintain test code including prompt engineering for test generation, Copilot Chat for debugging, inline suggestions for assertions, and workspace context optimization.
Ready to connect★ 225
- View details
s4h-cognitionSkillAI & models
Entry point for the cognition toolkit. Routes to the right cognition skill based on your situation. Use when you say 'cognition', 'how am I thinking about this', 'why can't I focus', 'what mental model is driving this', 'am I thinking clearly', 'this is too complex to hold in my head', 'what do I ac
Ready to connect★ 225
- View details
s4h-cognition-mental-modelsSkillAI & models
Surfaces and audits the internal representations that drive perception and decision-making. Use when asked 'what assumptions am I making', 'why do I keep seeing this the same way', 'what model is driving this decision', 'I think I'm missing something about how this works', 'what's my mental model he
Ready to connect★ 225
What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
53,789 of the 54,221 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.