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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

8,868 results · page 217 of 296

  • mstar-conventionsSkillAI & models

    Morning Star (启明星) harness plan directory conventions — `{HARNESS_DIR}` / `{PLAN_DIR}` / `{SDD_DIR}` / `{ITERATION_DIR}` / `{KNOWLEDGE_DIR}` / `{SPECS_DIR}` / `{WORKFLOW_DIR}` / `{PROJECT_DIR}` discovery and initialization (default `.mstar/`, compatible with `.agents/`), `docs` and harness subtree b

    Ready to connect★ 59

    github.com/btspoony/mstar-harness58 stars

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  • mstar-dispatch-gatesSkillAI & models

    Morning Star dispatch and delegation gates — only the PM may dispatch subagents; `Execute as` and `Delegation`; the recipient's anti-recursion NEVER red line; SDD implement serial dispatch; **SDD path plan QC mandates tri-review (N=3)**; inline single-seat QC exception; Assignment text ≠ dispatch; n

    Ready to connect★ 59

    github.com/btspoony/mstar-harness58 stars

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  • mstar-routing-evalSkillAI & models

    [Cursor maint] Morning Star routing and prompt iteration evaluation — for maintenance/regression only (not the day-to-day PM orchestration runtime). Path: `.cursor/skills/mstar-routing-eval/` in this repo. (1) PM routing regression: `assets/routing-evals.`; (2) Prompt/rule iteration evaluation; (3)

    Ready to connect★ 59

    github.com/btspoony/mstar-harness58 stars

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  • mstar-skill-authoringSkillAI & models

    Guidelines for writing / rewriting / optimizing agent skills (gated by the SkillsBench experiment). Read when creating any new skill, making major changes to SKILL.md, rewriting a description trigger contract, compressing an overly long body, reviewing skill structure, or deciding whether a piece of

    Ready to connect★ 59

    github.com/btspoony/mstar-harness58 stars

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  • new-projectSkillAI & models

    Create a new empirical research project: generates projects/<name>/ with latex, code, scripts, results, literature, and guidance subfolders plus README.md and project-level CLAUDE.md.

    Ready to connect★ 59

    github.com/alexander-m-dickerson/ai-asset-pricing59 stars

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  • soul-graderSkillAI & models

    Use when grading, reviewing, rewriting, or approving a Hermes Agent SOUL.md. Uses the SOUL.md field-guide research artifacts as the only normative source for what makes a good SOUL.md.

    Ready to connect★ 59

    github.com/cobibean/soul-grader-skill59 stars

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  • test-engineerSkillAI & models

    Test generation specialist for TDD compliance and coverage enforcement. Generates comprehensive tests following Vitest patterns for TypeScript and Go testing conventions. Use proactively during TDD phases, when implementing critical paths, or when coverage needs improvement.

    Ready to connect★ 59

    github.com/raphaeltm/simple-agent-manager55 stars

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  • ui-ux-specialistSkillAI & models

    UI/UX specialist for web surfaces. Use for any UI change in apps/web or packages/ui to enforce mobile-first layout quality, visual hierarchy, interaction clarity, and accessibility with screenshot-backed validation.

    Ready to connect★ 59

    github.com/raphaeltm/simple-agent-manager55 stars

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  • 2agentSkillAI & models

    Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent setup, PM coordination, Cursor setup, or 2-agent operations. Do NOT load for: solo operation, workflow execution, or handoff processing.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • add_hashtagsSkillAI & models

    Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • add-backend-toolSkillAI & models

    Add a new tool to the backend OpenAI function calling system. Use when user mentions "new tool", "add tool", "backend function", "agent capability", or wants to extend what the AI agent can do.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • add-embedding-supportSkillAI & models

    Add Qdrant embedding support to v3 WordPress components for RAG chatbot. Implements component-level content chunking for searchable, structured embeddings. Use when adding embedding to new or existing v3 components.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • adding-modelsSkillAI & models

    Guide for adding new LLM models to Letta Code. Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update the model configuration. Covers models.json configuration, CI test matrix, and handle validation.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • address-reviewSkillAI & models

    Use when addressing PR review comments from Copilot, Claude, or human reviewers. Critically assesses each comment, recommends action (implement/push-back/discuss), and executes appropriately.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • adhocSkillAI & models

    Run and manage ad-hoc AI prompts in sgai workspaces without starting a full agentic session. Use when you need to run a one-off AI prompt against a workspace, check the status of a running ad-hoc prompt, or stop a running ad-hoc prompt.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • adversarial-examplesSkillAI & models

    Generate adversarial inputs, edge cases, and boundary test payloads for stress-testing LLM robustness

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • Agent CreatingSkillAI & models

    Used to create a new agent. Used when a user wants to create a new agent

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • Agent EvaluationSkillAI & models

    Evaluate agent performance using a structured scoring rubric

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • Agent GenerationSkillAI & models

    This skill provides knowledge for generating effective Claude Code agents tailored to specific projects. It is used internally by the agent-team-creator plugin when analyzing codebases and creating specialized agent teams. Contains templates, best practices, and patterns for writing project-aware ag

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • Agent OrchestratorSkillAI & models

    Lets your agent coordinate other agent skills by scanning available skills, matching capabilities, and managing workflows.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • Agent Prompt EvolutionSkillAI & models

    Track and optimize agent specialization during methodology development. Use when agent specialization emerges (generic agents show >5x performance gap), multi-experiment comparison needed, or methodology transferability analysis required. Captures agent set evolution (Aₙ tracking), meta-agent evolut

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • agent-chain-analyzerSkillAI & models

    Detects and analyzes agent chain anti-patterns where agents invoke other agents sequentially causing massive context load

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • agent-chaos-engineerSkillAI & models

    Expert chaos engineer specializing in controlled failure injection, resilience testing, and building antifragile systems. Masters chaos experiments, game day planning, and continuous resilience improvement with focus on learning from failure.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • agent-chronicleSkillAI & models

    AI-powered diary generation for agents - creates rich, reflective journal entries (400-600 words) with Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, and Relationship Evolution. Generates personal, emotional entries from the agent's perspective. Works best with Claude models (Haiku, So

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • agent-competitive-analystSkillAI & models

    Expert competitive analyst specializing in competitor intelligence, strategic analysis, and market positioning. Masters competitive benchmarking, SWOT analysis, and strategic recommendations with focus on creating sustainable competitive advantages.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • agent-config-validatorSkillAI & models

    Validate AgentConfig definitions for the Agent Framework. Use when creating or modifying agent configurations to ensure correct structure, valid tool references, and proper sub-agent composition. Validates TypeScript interfaces and Python Pydantic models.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • agent-context-isolationSkillAI & models

    Agent Context Isolation

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • agent-cost-optimizerSkillAI & models

    Real-time cost tracking, budget enforcement, and ROI measurement for AI agent operations. Track token usage, predict costs, enforce budget caps ($50-70/month typical), optimize model selection, cache results, measure cost-to-value. Use when tracking AI costs, preventing budget overruns, optimizing s

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • agent-coverage-checkSkillAI & models

    Check agent configuration coverage across hierarchy levels and phases. Use to ensure complete agent system coverage.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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  • agent-cpp-proSkillAI & models

    Expert C++ developer specializing in modern C++20/23, systems programming, and high-performance computing. Masters template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis on safety and efficiency.

    Ready to connect★ 58

    github.com/diegosouzapw/awesome-omni-skill57 stars

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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.

53,585 of the 54,017 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.

See how to connect your AI