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 90 of 296
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dart-setup-ffi-assetsSkillAI & models
Guides agents in compiling and packaging C/C++ source code into dynamic or static libraries (Code Assets) using Dart's Native Assets hook system (via hook/build.dart and hook/link.dart utilizing package:hooks and package:native_toolchain_c). Use when a user asks to: 'setup native assets', 'compile C
Ready to connect★ 484
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genomic-inquirySkillAI & models
Default entry for natural-language DNA questions. The host agent resolves intent, reads focused skills, calls narrow evidence tools, and adapts after inspecting tool output.
Ready to connect★ 482
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agentic-quality-engineeringSkillAI & models
Use when orchestrating QE agents, understanding PACTS principles, configuring the AQE v3 fleet, or leveraging AI agents as force multipliers for quality work.
Ready to connect★ 478
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aqe-researchSkillAI & models
Conduct evidence-first technical research for Agentic QE, Ruflo, related ruvnet projects, or external tools. Use when Codex must investigate a repository, compare current upstream changes, trace dependencies and history, distinguish verified facts from inference, or synthesize findings into actionab
Ready to connect★ 478
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holistic-testing-pactSkillAI & models
Apply the Holistic Testing Model evolved with PACTS (Proactive, Autonomous, Collaborative, Targeted, Structured) principles. Use when designing comprehensive test strategies for Classical, AI-assisted, Agent based, or Agentic Systems building quality into the team, or implementing whole-team quality
Ready to connect★ 478
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qe-agentic-jujutsuSkillAI & models
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Ready to connect★ 478
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qe-agentic-quality-engineeringSkillAI & models
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACTS principles.
Ready to connect★ 478
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qe-learning-optimizationSkillAI & models
Optimizes QE agent performance through transfer learning, hyperparameter tuning, and pattern distillation across test domains. Use when improving agent accuracy, applying learned patterns to new projects, tuning quality thresholds, or implementing continuous improvement loops for AI-powered testing.
Ready to connect★ 478
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ReasoningBank IntelligenceSkillAI & models
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
Ready to connect★ 478
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linkedin-engagementSkillAI & models
Helps your agent plan LinkedIn comments, connection notes, and outreach volume without sending anything automatically.
Ready to connect★ 474
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semantic-anchor-onboardingSkillAI & models
DEPRECATED alias of semantic-contracts-installer. Renamed because the skill's high-value job is installing Semantic Contracts (compositions the LLM cannot guess), not bare anchor lists. Use semantic-contracts-installer instead; this alias forwards to it and will be removed after one release.
Ready to connect★ 470
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semantic-anchor-translatorSkillAI & models
Bi-directional translator between verbose descriptions and established terminology (semantic anchors). Use when (1) user describes a concept verbosely and you want to identify the precise term, or (2) user asks for methodology/approach and you want to suggest relevant anchors. Covers 120+ terms acro
Ready to connect★ 470
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semantic-contracts-installerSkillAI & models
Install Semantic Contracts (and, as a sub-mode, individual semantic anchors) into a coding agent's persistent context for Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and similar agents. Use when setting up project-level or user-level onboarding, generating or updating AGENTS.md / CLAUDE.
Ready to connect★ 470
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abductive-hypothesis-generationSkillAI & models
Strategy: Inference to the best explanation in the face of anomalies
Ready to connect★ 469
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alternative-model-generationSkillAI & models
Generate alternative model formulations by relaxing, replacing, or generalizing
Ready to connect★ 469
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ara-from-contextSkillAI & models
Campaign: Compile a context/ research record into an ARA (Agent-Native Research Artifact) and run a Level-2 epistemic review — no LaTeX, no narrative paper
Ready to connect★ 469
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causal-modelingSkillAI & models
Campaign for building causal models — identify variables, map mechanisms,
Ready to connect★ 469
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editing-skillsSkillAI & models
Contract for adding, editing, moving, or removing skills in this repository (.claude/skills, .opencode/skills, .agents/skills, any SKILL.md): mirror classifications in src/config/skill-mirrors.ts, dual-tree byte-identical edits, bun run drift:check, bundling via BUNDLED_PROJECT_SKILLS, frontmatter c
Ready to connect★ 469
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executeSkillAI & models
Claude Code adapter for MODE: EXECUTE. Delegates to the canonical opencode-swarm execution protocol.
Ready to connect★ 469
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orchestrating-subagentsSkillAI & models
Tiering and economics for delegating to subagents: which agent type, model, and effort to use per role (explorer, implementer, reviewer, critic), how many agents to launch in parallel, how to write scoped subagent prompts with bounded structured returns, and how to keep the main context clean. Use w
Ready to connect★ 469
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parallel-work-checkSkillAI & models
Apply before starting work on an existing branch. Checks for parallel work by other agents or developers that may supersede or conflict with your planned changes. Prevents wasted effort on stale branches.
Ready to connect★ 469
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phase-wrapSkillAI & models
Claude Code adapter for MODE: PHASE-WRAP. Delegates to the canonical opencode-swarm phase boundary protocol.
Ready to connect★ 469
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rememberSkillAI & models
When the user invokes this skill, the agent reflects on the most important lessons learned recently and suggests adding a new rule to AGENTS.md to prevent the same issue from recurring. Use when the user explicitly invokes the remember skill.
Ready to connect★ 469
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verify-skill-mirror-pairs-exist-in-both-opencode-skills-and-clauSkillAI & models
verify skill mirror pairs exist in both .opencode/skills/ and .claude/skills/
Ready to connect★ 469
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reflecting-findingsSkillAI & models
Use when a reflection package hands you another agent's review findings to verify (before they become a fix request): you are the REFLECTOR, an independent skeptic. Judge each finding against the real code and settle it with reflect_finding — kept or refuted.
Ready to connect★ 465
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chunking-for-llmsSkillAI & models
Use when the user wants to split source code into chunks for an LLM context window without breaking syntax mid-construct. Covers `ts-pack process --chunk-size`, why syntax-aware splits beat fixed-byte splits, picking a size, and the chunk JSON shape.
Ready to connect★ 465
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tree-sitter-language-packSkillAI & models
Parse and extract code intelligence from 371 programming languages using tree-sitter grammars. Use when writing code that parses source, extracts structure/imports/exports/symbols/docstrings/comments, detects a language, runs syntax diagnostics, or produces syntax-aware chunks for LLMs — in Rust, Py
Ready to connect★ 465
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audit-permissionsSkillAI & models
This skill should be used when the user asks to "audit claude permissions", "audit permissions", "review local claude settings", "promote permissions to global", "clean up claude settings", "find permission patterns", or wants to identify project-local Claude Code permissions that should be added to
Ready to connect★ 463
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deep-research-teamSkillAI & models
This skill should be used when the user asks for "deep research", "research team", "comprehensive analysis", "research report", "investigate thoroughly", "compare X vs Y in depth", or needs synthesis across multiple sources with verification. It spawns a coordinated team of researcher agents across
Ready to connect★ 463
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malo-find-skillsSkillAI & models
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable ski
Ready to connect★ 463
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.