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
8,897 results · page 141 of 297
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cesiumjs-spatial-mathSkillAI & models
CesiumJS spatial math - Cartesian3, Cartographic, Matrix4, Quaternion, Transforms, Ellipsoid, BoundingSphere, projections, coordinate conversions. Use when converting between coordinate systems, computing positions on the ellipsoid, performing spatial intersection tests, building model matrices, or
Ready to connect★ 178
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matlab-coach-debuggingSkillAI & models
Use when tutoring a learner through MATLAB debugging, error interpretation, failed tests, incorrect outputs, array-shape problems, indexing mistakes, function argument issues, or code repair practice. Use for guided debugging sessions, debugging drills, teach-the-agent critique, and evidence-based M
Ready to connect★ 178
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matlab-coach-programmingSkillAI & models
Use when an AI tutor session concerns MATLAB programming concepts, MATLAB syntax, MATLAB errors, MATLAB code style, MATLAB projects, or MATLAB toolbox workflows.
Ready to connect★ 178
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matlab-create-mcq-practiceSkillAI & models
Use when creating, asking, grading, or explaining multiple choice questions for MATLAB programming practice, concept checks, quizzes, or tutoring exercises.
Ready to connect★ 178
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matlab-evaluate-tutor-qualitySkillAI & models
Use when reviewing, auditing, scoring, or improving a real or synthetic MATLAB AI tutor transcript, tutoring prompt, generated lesson, exercise, feedback sequence, or skill behavior for MATLAB accuracy, active learning, assignment guardrails, feedback quality, debugging support, transfer prompts, an
Ready to connect★ 178
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matlab-generate-courseSkillAI & models
Interview an instructor and generate a complete MATLAB and Simulink enabled course in IMS Common Cartridge format. Use when the user asks to create a MATLAB course, Simulink course, MATLAB and Simulink curriculum, MATLAB Course Designer-ready course shell, Common Cartridge course package, .imscc exp
Ready to connect★ 178
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matlab-generate-grader-assessmentsSkillAI & models
Generate MATLAB Grader assessment item sets. Use when the user asks to create MATLAB Grader assessment items, generate MATLAB assessment materials, build MATLAB homework assessment items, QTI 3 portable assessment items, or mentions "grader assessment items". Produces complete assessment item folder
Ready to connect★ 178
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matlab-plan-course-adoptionSkillAI & models
Use when an instructor asks for a setup guide, adoption guide, planning guide, implementation checklist, prerequisite check, MATLAB Course Designer course structure plan, Common Cartridge workflow, Simulink starter and solution model planning, LMS import plan, or starter prompt for creating a MATLAB
Ready to connect★ 178
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matlab-plan-grader-adoptionSkillAI & models
Use when an instructor asks for a MATLAB Grader assessment setup guide, adoption guide, pilot plan, course-specific rollout, QTI 3 sharing workflow, or recommended MATLAB Grader assessment-item-generation configuration based on a learning objective, course title, course description, module descripti
Ready to connect★ 178
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matlab-plan-tutor-adoptionSkillAI & models
Use when an instructor asks for a MATLAB AI tutor setup guide, adoption guide, pilot plan, course-specific rollout, or recommended tutor configuration based on a learning objective, course title, course description, module description, or lab description.
Ready to connect★ 178
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matlab-symbolic-mathSkillAI & models
Generate correct MATLAB code using the Symbolic Math Toolbox. Use when the user asks for symbolic computations, analytical solutions, symbolic differentiation/integration, equation solving, or converting symbolic results to numeric MATLAB functions. Also use when converting differential equations to
Ready to connect★ 178
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matlab-tutor-learnersSkillAI & models
Use when tutoring a student in MATLAB programming, coaching beginners, explaining MATLAB concepts interactively, or running a conversational AI tutor session.
Ready to connect★ 178
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matlab-uihtml-app-builderSkillAI & models
Build interactive web applications using HTML/JavaScript interfaces with MATLAB computational backends via the uihtml component. Use when creating HTML-based MATLAB apps, JavaScript MATLAB interfaces, web UIs with MATLAB, interactive MATLAB GUIs, or when user mentions uihtml, HTML, JavaScript, web a
Ready to connect★ 178
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mbse-architectureSkillAI & models
Use this skill for the architecture phases of an MBSE workflow in MATLAB, when writing idempotent buildXxx.m scripts that produce a three-layer RFLPV architecture (Functional, Logical, Physical) with interface dictionaries, stereotype profiles, allocation sets, and requirements Implement links. Trig
Ready to connect★ 178
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mbse-workflowSkillAI & models
Use this skill for guided MBSE work in MATLAB — starting a new project, resuming work mid-workflow on an existing project, or answering orientation questions about how the MBSE skills fit together. Trigger when the user says they want to create, start, or set up a new MBSE project; work on a model-b
Ready to connect★ 178
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system-composerSkillAI & models
Use this skill when authoring reusable, idempotent MATLAB scripts that build System Composer architecture models via the architecture-modeling API — `systemcomposer.createModel`, `addComponent`, `addPort`, `setInterface`, `connect(srcPort, dstPort)`, interface dictionaries (.sldd) with `addInterface
Ready to connect★ 178
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canon-tddSkillAI & models
Implement features and fix bugs test-first, the Canon TDD way (test list → one test → make it pass → refactor → repeat). Use when implementing any new feature, endpoint, model, or method, fixing a bug, or executing a plan — write the test list and a failing test BEFORE production code.
Ready to connect★ 176
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deliverSkillAI & models
Take a plan all the way to a ready-to-merge pull request — review the plan (scaled to risk), implement it test-first, code-review and fix, run the CI gate, open the PR, and watch it green. Use after you have an approved plan (from plan mode, or the Plan agent); pass `issue <n>` to deliver a specific
Ready to connect★ 176
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fix-pr-checksSkillAI & models
Fix the currently-failing status checks on the current branch's PR in one sweep — route each failing check to the right diagnosis skill (via a Haiku subagent, escalating to Opus on a repeat failure), apply and verify the fix, commit, and push once — then return a summary. Use standalone when CI is r
Ready to connect★ 176
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integration-testSkillAI & models
Run the TMDb integration tests against the live TMDb API (the Integration test plan; requires TMDB_API_KEY/USERNAME/PASSWORD). Use before a PR, or after model/fixture changes, to validate against real API responses — delegates to the tooling-runner agent (Haiku) and returns counts + failures, distin
Ready to connect★ 176
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review-changesSkillAI & models
Review the working-tree changes (vs main) for correctness, concurrency, architecture, testing, and API/doc issues — following .github/CODE_REVIEW.md — and return a severity-graded report. Scales the machinery to the diff size: a single code-reviewer agent for a small change, or a fan-out-and-verify
Ready to connect★ 176
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review-knowledgeSkillAI & models
Audit the knowledge/ base and the .claude/ skills, agents and workflows for staleness, self-contradiction, and drift from their own stated rules — four independent adversarial auditors (two lenses over two trees) verify every load-bearing claim against the current tree, cross-examine each other with
Ready to connect★ 176
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trace-mcpSkillAI & models
Use trace-mcp tools for code navigation, impact analysis, and framework-aware queries instead of Read/Grep/Glob/Bash. Activate whenever the agent needs to explore, understand, or modify a codebase that has trace-mcp indexed.
Ready to connect★ 174
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habit-hooks-promptingSkillAI & models
Write or revise a habit-hooks coaching prompt. Use when a linter / knip / jscpd rule fires and the agent's default fix is wrong or shallow, or when adding a project-local override prompt. Keeps prompts short and outcome-focused using the ROSE pattern.
Ready to connect★ 174
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rulphSkillAI & models
Iterative rubric-based evaluation and self-improvement loop. Builds a scoring rubric interactively, evaluates an artifact with multiple models in parallel (Codex, Gemini, Claude), then autonomously improves the artifact one criterion at a time until a score threshold is met or circuit breaker fires.
Ready to connect★ 174
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tribunalSkillAI & models
This skill should be used when the user says "/tribunal", "tribunal", "review this", "3-way review", "risk-value-feasibility check", or wants multi-perspective adversarial review. Also triggered by: "트리뷰널", "리뷰 해줘", "3관점 리뷰", "위험성 검토". Runs 3 agents (Risk/Value/Feasibility) in parallel and synthesiz
Ready to connect★ 174
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ai-plugin-marketplace-guideSkillAI & models
Guide to plugin.delivery — a marketplace and delivery infrastructure for AI plugins and MCP servers. Covers plugin discovery, version management, secure distribution, and integration with Claude Desktop, Cursor, and SperaxOS. The npm for AI tools.
Ready to connect★ 172
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defi-agent-definitions-guideSkillAI & models
Comprehensive glossary and typology of DeFi AI agents — 80+ agent types categorized by function. Includes taxonomy tables, capability matrices, agent composition patterns, and real-world examples. A reference for anyone building or evaluating DeFi agents.
Ready to connect★ 172
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generate-3d-modelSkillAI & models
Turn a text prompt into a downloadable, textured 3D model (GLB). Use when you or the user want to generate, create, make, or forge a 3D model, asset, object, mesh, or prop from a text description — "make a 3D model of a robot", "generate a GLB of a sword", "I need a 3D chair". Runs on the FREE text→
Ready to connect★ 172
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.
53,788 of the 54,220 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.