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

9,018 results · page 212 of 301

  • aptos-agentSkillAI & models

    Interact with Aptos blockchain - check balances, transfer APT, swap tokens, stake, and execute Move view functions. Features game-theoretic decision analysis with Nash equilibrium detection. All transactions require explicit approval.

    Ready to connect★ 64

    github.com/plurigrid/asi61 stars

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  • asi-agent-oramaSkillAI & models

    ASI Agent-O-Rama Skill

    Ready to connect★ 64

    github.com/plurigrid/asi61 stars

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  • axiom-foundation-modelsSkillAI & models

    Use when implementing on-device AI with Apple's Foundation Models framework — prevents context overflow, blocking UI, wrong model use cases, and manual JSON parsing when @Generable should be used. iOS 26+, macOS 26+, iPadOS 26+, axiom-visionOS 26+

    Ready to connect★ 63

    github.com/comeonoliver/skillshub64 stars

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  • axiom-foundation-models-diagSkillAI & models

    Use when debugging Foundation Models issues — context exceeded, guardrail violations, slow generation, availability problems, unsupported language, or unexpected output. Systematic diagnostics with production crisis defense.

    Ready to connect★ 63

    github.com/comeonoliver/skillshub64 stars

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  • axiom-foundation-models-refSkillAI & models

    Reference — Complete Foundation Models framework guide covering LanguageModelSession, @Generable, @Guide, Tool protocol, streaming, dynamic schemas, built-in use cases, and all WWDC 2025 code examples

    Ready to connect★ 63

    github.com/comeonoliver/skillshub64 stars

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  • axiom-ios-aiSkillAI & models

    Use when implementing ANY Apple Intelligence or on-device AI feature. Covers Foundation Models, @Generable, LanguageModelSession, structured output, Tool protocol, iOS 26 AI integration.

    Ready to connect★ 63

    github.com/comeonoliver/skillshub64 stars

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  • beads-issue-trackerSkillAI & models

    Guide for using Beads (bd), a dependency-aware issue tracker for AI agents. Issues chained together like beads.

    Ready to connect★ 64

    github.com/plurigrid/asi61 stars

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  • cash-proposeSkillAI & models

    Create a Cash change proposal with sub-agent quality gates. Use when a requirement needs a complete proposal before implementation.

    Ready to connect★ 64

    github.com/cashwu/iphonelocationmove62 stars

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  • ci-triageSkillAI & models

    How to respond when a CI check goes red, a PR check fails, a test is flaky, a job times out, or a webhook reports a failing status — plus how to read GitHub check state at all (gh locally vs mcp__github__* on the web, and why one page of get_check_runs never proves "all green"). Activate whenever a

    Ready to connect★ 64

    github.com/alexandermattturner/agent-glovebox63 stars

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  • Codex-promptSkillAI & models

    Write or improve prompts for Codex using Anthropic's official best practices. Creates system prompts, agent prompts, tool descriptions, and MCP resource templates. Pass an existing prompt to improve it, or describe what you need to create one from scratch.

    Ready to connect★ 64

    github.com/kastalien-research/thoughtbox64 stars

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  • connectivity-ipSkillAI & models

    IP networking fundamentals for Zephyr RTOS. Covers IoT protocol selection (LwM2M, CoAP, MQTT), IP stack configuration and trimming (IPv4/IPv6, UDP/TCP), and professional SDK integration as Zephyr modules using West manifests. Trigger when building cloud-connected applications, optimizing network mem

    Ready to connect★ 64

    github.com/beriberikix/zephyr-agent-skills64 stars

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  • connectivity-usb-canSkillAI & models

    USB and CAN connectivity for Zephyr RTOS. Covers USB device stack configuration (CDC ACM, HID, MSC), CAN controller integration, and professional USB-to-CAN adapter patterns including buffering and protocol packetization. Trigger when adding USB interfaces, implementing CAN bus communication, or bui

    Ready to connect★ 64

    github.com/beriberikix/zephyr-agent-skills64 stars

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  • create-sprintSkillAI & models

    Guide sprint planning from scope assessment to spec artifacts.

    Ready to connect★ 64

    github.com/leogodin217/leos_claude_starter64 stars

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  • defect-to-guardSkillAI & models

    Turn a defect class into a well-designed guard PROPOSAL (and, once a human promotes it, a well-built guard). Activate when writing a `## Proposed guards` entry after fixing a bug, and when a human has explicitly approved implementing a lint, pre-commit hook, CI check, assertion, or ratchet — never t

    Ready to connect★ 64

    github.com/alexandermattturner/agent-glovebox63 stars

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  • devicetreeSkillAI & models

    Devicetree management for Zephyr RTOS. Covers syntax, bindings, overlays, Hardware Model v2 (HWMv2), and advanced node/property deletion patterns. Trigger when defining hardware topology, creating overlays, or mapping pins and peripherals.

    Ready to connect★ 64

    github.com/beriberikix/zephyr-agent-skills64 stars

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  • doctrine-captureSkillAI & models

    How to turn a rule the user just stated into doctrine this repo will still follow next session. Activate the moment the user writes NEVER or ALWAYS in capitals, and on the same shapes without the capitals — "don't ever", "from now on", "every time", "stop doing X". The load-bearing rule is that the

    Ready to connect★ 64

    github.com/alexandermattturner/agent-glovebox63 stars

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  • dotnet-slopwatchSkillAI & models

    Use Slopwatch to detect LLM reward hacking in .NET code changes. Run after every code modification to catch disabled tests, suppressed warnings, empty catch blocks, and other shortcuts that mask real problems.

    Ready to connect★ 63

    github.com/comeonoliver/skillshub64 stars

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  • eval-sprintSkillAI & models

    Adversarial evaluation of sprint spec before implementation.

    Ready to connect★ 64

    github.com/leogodin217/leos_claude_starter64 stars

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  • explore-planSkillAI & models

    Drives the Explore -> Plan -> Critique -> Review -> Verify discipline for a written plan. Activate on entry to plan mode, before writing the plan — including the plan-mode requests "plan this", "scope this out", "figure out how to do X", "explore the codebase first" — in auto mode at the start of an

    Ready to connect★ 64

    github.com/alexandermattturner/agent-glovebox63 stars

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  • Fan OutSkillAI & models

    Use single-model sub-agents for independent angles. Use for "in parallel", "multiple angles", "compare approaches", and broad analysis.

    Ready to connect★ 64

    github.com/uss-parks/lamprey-harness61 stars

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  • hardware-ioSkillAI & models

    Hardware interfacing and peripheral management for Zephyr RTOS. Covers the sensor subsystem (channels, triggers, fetch/get), pin control (Pinctrl) and multiplexing, GPIO management using Devicetree specs, and SoC-level hardware configurations. Trigger when adding new hardware components, configuring

    Ready to connect★ 64

    github.com/beriberikix/zephyr-agent-skills64 stars

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  • hub-auditSkillAI & models

    Run an Agent-Native Architecture Audit using Thoughtbox Hub for multi-agent coordination. Spawns 3 auditor agents and 1 synthesizer that collaborate through structured channels, cross-reference findings, and build consensus on scores.

    Ready to connect★ 64

    github.com/kastalien-research/thoughtbox64 stars

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  • hub-collabSkillAI & models

    Orchestrate a multi-agent collaboration demo on the Thoughtbox Hub. Spawns MANAGER, ARCHITECT, and DEBUGGER agents that coordinate through shared workspaces, problems, proposals, and channels.

    Ready to connect★ 64

    github.com/kastalien-research/thoughtbox64 stars

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  • implement-sprintSkillAI & models

    Automated sprint implementation in a worktree with context discipline and quality gates.

    Ready to connect★ 64

    github.com/leogodin217/leos_claude_starter64 stars

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  • industrialSkillAI & models

    Industrial communication protocols for Zephyr RTOS. Covers Modbus RTU (serial), Modbus TCP (Ethernet/Wi-Fi), and CANopen basics. Trigger when building factory automation controllers, industrial sensors, or medical equipment interfaces.

    Ready to connect★ 64

    github.com/beriberikix/zephyr-agent-skills64 stars

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  • iot-protocolsSkillAI & models

    Integration of advanced IoT protocols for Zephyr RTOS. Covers OpenThread mesh networking, Matter-over-Thread device development, Golioth Cloud SDK patterns, and LoRaWAN basics. Trigger when building smart home devices, wide-area sensor networks, or cloud-integrated hardware fleets.

    Ready to connect★ 64

    github.com/beriberikix/zephyr-agent-skills64 stars

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  • kata-setupSkillAI & models

    Use when the user asks to install Kata, set up Kata CLI, connect Kata to an agent harness, or check initial Kata configuration.

    Ready to connect★ 64

    github.com/gannonh/kata-symphony63 stars

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  • kernel-servicesSkillAI & models

    Advanced Zephyr RTOS kernel services. Covers inter-thread communication using Zbus (pub/sub), behavioral management with the State Machine Framework (SMF), background processing via work queues, and persistent configuration with the Settings subsystem. Trigger when building modular application archi

    Ready to connect★ 64

    github.com/beriberikix/zephyr-agent-skills64 stars

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  • lamprey-config-and-flagsSkillAI & models

    Catalog of every Lamprey configuration axis — AppSettings keys with defaults and readers, inert retired keys, keychain/keys.json, custom models, loop and timeout knobs, environment variables, per-conversation runtime state — plus the exact checklist for adding a setting without breaking the parity-l

    Ready to connect★ 64

    github.com/uss-parks/lamprey-harness61 stars

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  • lamprey-provider-and-model-referenceSkillAI & models

    The multi-provider LLM domain pack for Lamprey — OpenAI-compatible streaming across 17 built-in providers (frontier labs, open-source hosts, keyless local runtimes) plus user-defined custom endpoints, per-provider quirks (reasoning field names, Anthropic's compat-layer limits, base-URL overrides), c

    Ready to connect★ 64

    github.com/uss-parks/lamprey-harness61 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.

54,826 of the 55,257 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