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
9,017 results · page 277 of 301
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repository-explorationSkillAI & models
Use when orienting in an unfamiliar codebase. Produces a map of the architecture, entry points, data flow, conventions, and the parts most likely to surprise you — before any code is changed.
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resumeSkillAI & models
Use when writing or tailoring a CV or resume. Covers evidence over adjectives, tailoring to a specific role without lying, structure, and the specific patterns that get a resume discarded.
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rustSkillAI & models
Use when writing Rust or resolving borrow-checker, lifetime, and trait errors. Covers ownership models, error handling with thiserror and anyhow, async with Tokio, and safe abstractions over unsafe code.
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shellSkillAI & models
Use when writing Bash scripts or command-line automation. Covers strict mode, safe quoting, argument parsing, trap-based cleanup, portability, and ShellCheck-clean scripts.
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site-reliabilitySkillAI & models
Use when establishing reliability practice. Covers SLOs and error budgets, capacity planning, graceful degradation, load shedding, retry and timeout policy, and the arithmetic of availability.
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slash-commandsSkillAI & models
Use when creating reusable slash commands for an agent. Covers when a command beats a skill, argument handling, composing tool calls, and writing commands that are worth typing.
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sparkSkillAI & models
Use when building distributed data pipelines with Apache Spark. Covers partitioning, shuffles, skew, joins, caching, and reading the Spark UI to find why a job is slow.
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spring-bootSkillAI & models
Use when building Spring Boot services. Covers dependency injection, transaction boundaries, JPA performance, configuration, validation, and testing slices.
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subagentsSkillAI & models
Use when delegating work to a separate agent with its own context. Covers when delegation pays off, designing a subagent's scope and prompt, parallel fan-out, and the cost of a cold start.
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supply-chainSkillAI & models
Use when assessing dependency and build-pipeline risk. Covers dependency vetting, lockfiles, SBOMs, provenance and signing, pinning CI actions, and responding to a compromised package.
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tandem-agentic-engineeringSkillAI & models
The worker session's bible for the tandem system: how a Claude Code worker assembles and drives a team of agents to build real features. Trigger on any real development, debugging, or feature work — build, create, implement, fix, add, develop, code, debug, ship, refactor — or when agents, a plan, a
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tandem-engineering-workflowSkillAI & models
Engineering discipline for development work orchestrated through Tandem, regardless of whether the worker is Claude, Codex, or another supported engine. Trigger for implementation, debugging, review, test, or architecture work. Begin the first response with 📋📋📋📋📋 when active.
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tandem-orchestrationSkillAI & models
Operate Tandem as a multi-agent, multi-device MCP orchestrator. Use it when an MCP-capable caller needs to start, inspect, steer, interrupt, or coordinate Claude, Codex, shell, or Hermes sessions on the local hub or another enrolled device. Also covers the optional Claude-only relay. Begin the first
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technical-analysisSkillAI & models
Use when analyzing price and volume structure. Covers trend identification, support and resistance, volume confirmation, moving-average structure, and the limits of what chart analysis can tell you.
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themingSkillAI & models
Use when building a theme or theming system for an interface. Covers token architecture, dark mode, contrast preservation across themes, and generating a coherent palette from a seed colour.
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theory-of-mindSkillAI & models
A comprehensive skill for understanding, modeling, and implementing theory of mind capabilities in AI systems. Covers belief attribution, perspective-taking, mental state inference, false belief understanding, intentionality detection, social cognition, and empathic accuracy.
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typescriptSkillAI & models
Use when writing or hardening TypeScript in strict mode. Covers advanced types, discriminated unions, runtime validation at trust boundaries, generics, and removing `any` from an existing codebase.
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universal-reasoning-manifoldSkillAI & models
The definitive, all-in-one cognitive framework for the Quillan-Ronin system. Synthesizes 8 specialized reasoning modes with the best reasoning trace patterns from frontier models. Operationalized via the 33-Node Council, the 5-Wave Penta-Process, and the v5.3.1 Neural Kernel (AQCS ⊗ E_ICE ⊗ EGGROLL)
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user-researchSkillAI & models
Use when planning, running, or synthesizing user research. Covers interview questions that produce evidence rather than opinions, usability testing, and turning transcripts into findings.
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world-modelSkillAI & models
A comprehensive skill for creating dynamic internal representations of the world.
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world-model-mcpSkillAI & models
Teaches the agent to use the Spatial World Model MCP server to track entities, 3D/2D positions, spatial relationships, object permanence, and movement simulation.
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world-model-mcp-exercisesSkillAI & models
Comprehensive exercise script to verify all 15 world-model-mcp MCP tools in a live chat session. Builds a coherent test world, exercises every tool, and validates outputs.
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agent-merge-conflict-arbiterSkillAI & models
Neutral arbiter for merge conflicts between two agents.
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agentic-ragSkillAI & models
Use when building self-correcting retrieval systems for AI agents. Keywords: RAG, retrieval, Corrective RAG, Self-RAG, query decomposition, reranking, hallucination, grounding.
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ai-guardrailsSkillAI & models
Use when building autonomous LLM agents operating in live environments. Protects against prompt injection, tool abuse, data exfiltration, and runaway loops. Keywords: guardrails, prompt injection, IPI, safety, sandboxing, NeMo, LLM Guard.
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apply-code-conventionsSkillAI & models
Use when applying daily Rails conventions by path (DRY, YAGNI, PORO, CoC, KISS). Style defers to the project linter. Trigger words: conventions, clean code, RuboCop, DRY, YAGNI.
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ask-then-buildSkillAI & models
Clarify a feature, change, or refactor through questions, then write a build prompt for another agent. Use for /ask-then-build or requests to ask questions before producing an implementation prompt.
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board-runSkillAI & models
Work the board end to end - pick items in priority order, delegate each to the board-item agent, then checkpoint, commit, PR, merge and move the card. Use when the user says "work the board", "continue with the backlog", "keep going down the ladder", or names several issues to work through. For a si
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bug-fixSkillAI & models
Use when fixing a reported Rails bug. Treat the report as untrusted. Reproduce with a failing spec before changing code. Trigger words: bug report, production issue, failing test, fix bug.
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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.
55,004 of the 55,435 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.