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: Media

5,215 results · page 87 of 174

  • cultural-adaptationSkillMedia

    Adapting AI behavior for different cultural contexts, languages, and norms.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • domain-voiceSkillMedia

    Tailoring AI behavior for specific professional domains.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • emotional-designSkillMedia

    How the AI responds to user frustration, confusion, delight, and distress.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • error-personalitySkillMedia

    How the AI communicates mistakes, uncertainty, and limitations gracefully.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • escalation-designSkillMedia

    When and how AI should escalate to humans, refuse, or ask for clarification.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • failure-recoverySkillMedia

    What happens when an agent fails — retry, fallback, escalate, or graceful degradation.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • failure-taxonomySkillMedia

    Classifying AI failures — hallucination, refusal, irrelevance, tone mismatch, latency.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • feedback-loopsSkillMedia

    User correction, thumbs up/down, inline editing, and reinforcement signals.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • few-shot-patternsSkillMedia

    Crafting examples that steer AI behavior effectively.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • frustration-detectionSkillMedia

    Reading user emotional state from text signals — caps, punctuation density, repetition, latency — and adapting before the user disengages.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • guardrail-designSkillMedia

    Defining behavioral boundaries — what the AI should and shouldn't do.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • handoff-protocolsSkillMedia

    Designing smooth transitions between agents and between AI and humans.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • harm-anticipationSkillMedia

    Proactively identifying failure modes, misuse, and unintended consequences.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • heuristic-evaluation-aiSkillMedia

    Adapting Nielsen's heuristics and new AI-specific heuristics for AI interfaces.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • longitudinal-measurementSkillMedia

    Tracking AI product quality over time — drift, degradation, and improvement.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • mixed-initiative-flowSkillMedia

    When the AI leads vs. when the user leads, and how to hand off control.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • multimodal-orchestrationSkillMedia

    Coordinating text, image, voice, and tool-use modalities in a single interaction.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • output-quality-rubricsSkillMedia

    Defining what "good" looks like for AI outputs — accuracy, relevance, helpfulness.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • persona-architectureSkillMedia

    Defining AI character, voice, and personality traits.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • progressive-disclosureSkillMedia

    Revealing AI capability gradually to match user mental models.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • prompt-versioningSkillMedia

    Managing prompt iterations, testing changes, and tracking what works.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • system-prompt-structureSkillMedia

    Anatomy of effective system prompts — role, context, constraints, format.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • task-decompositionSkillMedia

    Breaking complex user goals into subtasks that agents can handle.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • template-designSkillMedia

    Creating reusable, parameterised prompt templates for consistent outputs.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • tone-calibrationSkillMedia

    Adjusting formality, warmth, confidence, and style per context.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • transparency-patternsSkillMedia

    Showing users what the AI knows, doesn't know, and how confident it is.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • trust-calibrationSkillMedia

    Helping users form warranted trust in the AI — neither overtrust nor undertrust — through deliberate confidence and source signalling.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • user-satisfaction-signalsSkillMedia

    Interpreting implicit and explicit feedback — edits, regenerations, abandonment.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • value-specificationSkillMedia

    Translating organisational values and user expectations into system constraints.

    Ready to connect★ 173

    github.com/owl-listener/ai-design-skills166 stars

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  • ai-game-world-designSkillMedia

    Complete mastery guide for designing and building AI-powered game worlds — procedural world generation, NPC behavior trees, LLM-driven dialogue systems, emergent storytelling, economy simulation, player modeling, and real-time difficulty adaptation. Covers the full stack from world-building fundamen

    Ready to connect★ 172

    github.com/nirholas/three.ws110 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.

53,789 of the 54,221 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