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
9,019 results · page 112 of 301
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night-market-research-frontierSkillAI & models
Map open problems where this repo can advance SOTA. Use when scoping research. Do not use to run the campaign; use night-market-completion-integrity-campaign.
Ready to connect★ 337
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night-market-research-methodologySkillAI & models
Turn hunches into accepted results: worthiness score, evidence bar, research-to-rules. Use when vetting ideas. Not for QA; use night-market-validation-and-qa.
Ready to connect★ 337
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night-market-validation-and-qaSkillAI & models
Enforce evidence bar, coverage gates, and regression guards. Use when adding tests or claiming done. Do not use to run suites; use night-market-operations.
Ready to connect★ 337
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Optimize ContextSkillAI & models
Analyze and optimize context window usage using MECW principles
★ 337
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Plugin ReviewSkillAI & models
Tiered plugin quality review: branch (quick gates), pr (quality scoring), release (full ecosystem audit). Detects affected plugins from git diff and reviews related plugins for side effects.
★ 337
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plugin-reviewSkillAI & models
Review plugin quality with tiered checks and dependency scoping. Use for PR and pre-release audits.
Ready to connect★ 337
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Pr ReviewSkillAI & models
Review pull requests with scope validation, code analysis, and line comments. Supports GitHub PRs and GitLab MRs.
★ 337
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precommit-setupSkillAI & models
Configures pre-commit hooks for linting, type checking, formatting, and testing. Use when setting up a new project or adding quality gates to an existing one.
Ready to connect★ 337
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progressive-loadingSkillAI & models
Implements hub-and-spoke lazy loading to minimize token usage in large skills. Use when building multi-module skills that need conditional on-demand loading.
Ready to connect★ 337
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Project InitSkillAI & models
Initialize a new project with git setup, CI/CD workflows, pre-commit hooks, Makefiles, and language-specific tooling.
★ 337
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project-brainstormingSkillAI & models
Guides project ideation via Socratic questioning to produce a validated brief. Use before specification when requirements are unclear.
Ready to connect★ 337
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project-initSkillAI & models
Scaffolds new projects with git, CI/CD workflows, pre-commit hooks, and build config. Use when starting a new Python, Rust, or TypeScript project from scratch.
Ready to connect★ 337
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project-planningSkillAI & models
Converts a specification into a phased, dependency-ordered implementation plan. Use after specification is complete and before execution begins.
Ready to connect★ 337
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project-specificationSkillAI & models
Transforms project briefs into testable specifications with user stories and acceptance criteria. Use after brainstorming, before planning.
Ready to connect★ 337
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proof-of-workSkillAI & models
Enforces validation and evidence before claiming work complete. Use before declaring implementation done, creating a PR, or submitting deliverables for review.
Ready to connect★ 337
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pytest-configSkillAI & models
Provides standardized pytest config, reusable fixtures, and CI integration patterns. Use when setting up or auditing a Python plugin's test infrastructure.
Ready to connect★ 337
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quality-gateSkillAI & models
Orchestrates the QUALITY pipeline stage for egregore work items, running code review, unbloat, and test updates. Use when running quality checks before a PR.
Ready to connect★ 337
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Refine CodeSkillAI & models
Analyze code quality across 6 dimensions (duplication, algorithms, clean code, architecture, errors, style) and apply fixes.
★ 337
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Reinstall All PluginsSkillAI & models
Uninstall and reinstall all Claude Code plugins to refresh cache and resolve version mismatches.
★ 337
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Resolve ThreadsSkillAI & models
Batch-resolve unresolved PR/MR review threads via GraphQL API (GitHub/GitLab)
★ 337
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response-compressionSkillAI & models
Compresses verbose responses by removing filler and framing to save 200-400 tokens. Use when responses feel bloated or context is filling fast.
Ready to connect★ 337
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review-coreSkillAI & models
Provides review-workflow scaffolding for context, evidence, and output. Use at the start of any detailed review to ensure consistent, comparable findings.
Ready to connect★ 337
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rigorous-reasoningSkillAI & models
Applies anti-sycophancy checklist to override agreement bias. Use when analyzing contested claims or avoiding socially convenient but inaccurate conclusions.
Ready to connect★ 337
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rule-catalogSkillAI & models
Browse hookify rule catalog. Use when installing pre-built rules or browsing categories. Do not use when writing custom rules; use hookify:writing-rules.
Ready to connect★ 337
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rules-evalSkillAI & models
Evaluate Claude Code rules in .claude/rules/. Use for frontmatter, globs, and quality audits.
Ready to connect★ 337
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scope-guardSkillAI & models
Scores feature worthiness and enforces branch-size limits against overengineering. Use when evaluating whether a feature belongs in the current scope or branch.
Ready to connect★ 337
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sem-integrationSkillAI & models
Provides sem semantic-diff detection, install-on-first-use, and fallback patterns. Use when building skills that consume git diff output.
Ready to connect★ 337
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service-registrySkillAI & models
Registers external services with health checks, central config, and unified execution. Use when integrating multiple external services needing coordination.
Ready to connect★ 337
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.
54,764 of the 55,196 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.