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
8,992 results · page 204 of 300
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orienting-to-an-inherited-seatSkillAI & models
Use when you have just been primed into an EXISTING seat through a planned handover — a different agent retired and handed you the seat plus its earned context — and you need a world model of what just happened to you. Covers how a handover differs from compaction and from a fresh launch, the inheri
Ready to connect★ 68
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package-usageSkillAI & models
Track which stacks across a Pulumi organization use a specific package and at what versions. Use for cross-stack audits, identifying outdated or unmaintained package versions across many stacks, finding affected stacks before publishing breaking changes to a component package, or planning coordinate
Ready to connect★ 68
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pinecone:cliSkillAI & models
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, C
Ready to connect★ 68
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pinecone:helpSkillAI & models
Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
Ready to connect★ 68
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pinecone:n8nSkillAI & models
Build n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node. Use when building RAG pipelines, chat-with-docs workflows, configuring Pinecone nodes in n8n, troubleshooting Pinecone n8n nodes, or asking about best practices for Pinecone in n8n.
Ready to connect★ 68
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pinecone:querySkillAI & models
Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the pinecone:cli skill instead. Requires PINECONE_API
Ready to connect★ 68
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pipeline-runnerSkillAI & models
Universal dispatcher: run a named taffy workflow (.claude/taffy/<name>.yaml), a skill (/skill-name), or a sub-agent (@agent-name). Falls back to skills.sh registry when a skill is not found locally. Tracks all runs in .claude/state/maple.json so the maple TUI shows live progress.
Ready to connect★ 68
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provider-upgradeSkillAI & models
Upgrade any Pulumi provider to a newer version and reconcile the resulting diff. Use when users want to upgrade or update a provider (including editing package.json, requirements.txt, pyproject.toml, go.mod, or Pulumi.yaml to bump a provider SDK), check for breaking changes before or during an upgra
Ready to connect★ 68
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pulumi-automation-apiSkillAI & models
Load this skill when a user asks how to run Pulumi programmatically, embed Pulumi in an application, orchestrate multiple stacks in code, build a self-service infrastructure portal, replace pulumi CLI shell scripts with code, or use the Pulumi Automation API (LocalWorkspace, createOrSelectStack, inl
Ready to connect★ 68
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pulumi-best-practicesSkillAI & models
Load when the user is writing, reviewing, or debugging Pulumi TypeScript/Python programs; asks about Output<T> or apply() usage; wants to create ComponentResource classes; needs to refactor resources without destroying them (aliases); is setting up secrets or config; or is configuring a pulumi previ
Ready to connect★ 68
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pulumi-componentSkillAI & models
Guide for authoring Pulumi ComponentResource classes. Use when creating reusable infrastructure components, designing component interfaces, setting up multi-language support, or distributing component packages.
Ready to connect★ 68
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pulumi-context-apiSkillAI & models
Query the Pulumi Context API, a graph query interface over an organization's infrastructure in Pulumi Cloud. Use when a question is about relationships or reachability across resources and stacks: the impact of a change ("what breaks if I change this?", blast radius), what depends on a resource or a
Ready to connect★ 68
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pulumi-debug-failed-operationSkillAI & models
Debug a Pulumi update or preview that failed: read the failure Pulumi already recorded, find what caused it, and fix it. Load this skill when the user asks to debug, diagnose, or fix a failed update or preview, or points at a failing `pulumi up` or `pulumi preview`. Don't load it for authoring new i
Ready to connect★ 68
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pulumi-migrate-from-discovered-stackSkillAI & models
Migrate a CloudFormation or ARM stack into a Pulumi stack, sourced from a stack that Pulumi Cloud's Discovery feature has already found and exposed via the discovered-stacks API. Load this skill when the user has a discovered stack in Pulumi Cloud and wants to bring its resources under Pulumi manage
Ready to connect★ 68
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pulumi-upgrade-providerSkillAI & models
Automate Pulumi provider repo upgrades with the `upgrade-provider` tool. Use when upgrading a pulumi provider repository to a new upstream version, running `upgrade-provider`, and addressing its common failure modes like patch conflicts or missing module mappings.
Ready to connect★ 68
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pydantic-ai-expertSkillAI & models
Universal Multi-Agent Swarm Plugin with specialized skills for Antigravity (AGY), Claude Code, and Cursor IDE. Modern 2026 Fullstack (React 19, Tailwind v4, Bun, Next.js 15, MCP v1.9, Rust, Python 3.14).
Ready to connect★ 68
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refocusingSkillAI & models
Use when a long-running agent may have lost the product outcome, when context was compacted, when work has crossed a major boundary, or when a fresh path-based trace is needed before the next consequential action. Not for fresh-session orientation, waking an idle seat, or checkpoints.
Ready to connect★ 68
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retiring-and-inheriting-a-seatSkillAI & models
Use when you are a sitting agent near your context threshold (~85%) and a PLANNED seat transition is due — retire deliberately and hand your seat to a fresh successor primed from a packet, rather than let compaction degrade you. Covers the handover packet, the append-only lineage ledger (one row per
Ready to connect★ 68
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saas-architectSkillAI & models
Universal Multi-Agent Swarm Plugin with specialized skills for Antigravity (AGY), Claude Code, and Cursor IDE. Modern 2026 Fullstack (React 19, Tailwind v4, Bun, Next.js 15, MCP v1.9, Rust, Python 3.14).
Ready to connect★ 68
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session-compaction-and-restoreSkillAI & models
Use when reasoning about what survives compaction/context-loss/restart/seat-refresh, designing a high-fidelity restore packet, or distinguishing native runtime resume vs fork vs artifact-backed mental-model rebuild. Covers the 4 failure modes that prevent honest restore (compacted seat drops hot pot
Ready to connect★ 68
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session-source-forkSkillAI & models
Use when authoring a rig spec member or `rig expand` payload that needs to start a new managed seat from a prior runtime conversation source — `session_source: { mode: fork, ref: { kind, value } }`. v1 supports `mode: fork` with `ref.kind: native_id` for Claude and Codex. The new seat persists a NEW
Ready to connect★ 68
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software-for-agentsSkillAI & models
Use when older OpenRig instructions name software-for-agents or describe agent-in-the-middle or studio software under the former skill name.
Ready to connect★ 68
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specification-systemSkillAI & models
Use when authoring rig specs, agent specs, workflow specs, startup/context fragments, operating-mode declarations, or designing the user spec library. Covers the 4 failure modes (spec instantiates topology but not workflow/mode; spec depends on local paths and fails on another host; agents modify sp
Ready to connect★ 68
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synthetic-data-finetuning-expertSkillAI & models
Universal Multi-Agent Swarm Plugin with specialized skills for Antigravity (AGY), Claude Code, and Cursor IDE. Modern 2026 Fullstack (React 19, Tailwind v4, Bun, Next.js 15, MCP v1.9, Rust, Python 3.14).
Ready to connect★ 68
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validate-chunkSkillAI & models
Enforcement layer for chunk and story validation. Invokes the chunk-validator agent (haiku), enforces the verdict, routes failures to refine-chunk or test-fix, captures CLI learnings. The orchestrator invokes this skill — never the agent directly.
Ready to connect★ 68
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vault-userSkillAI & models
Multi-agent harness that runs Claude Code and Codex together as one system
Ready to connect★ 68
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voice-ai-realtime-agentSkillAI & models
Universal Multi-Agent Swarm Plugin with specialized skills for Antigravity (AGY), Claude Code, and Cursor IDE. Modern 2026 Fullstack (React 19, Tailwind v4, Bun, Next.js 15, MCP v1.9, Rust, Python 3.14).
Ready to connect★ 68
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ai-output-validationSkillAI & models
Validates, parses, and sanitizes AI-generated outputs before they reach end users or downstream systems. Structured output enforcement, schema validation, and fallback handling.
Ready to connect★ 67
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code-explanationSkillAI & models
Get layered, context-aware explanations of unfamiliar code. Understand what it does, why it was written that way, and how to work with it safely.
Ready to connect★ 67
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commitsSkillAI & models
Lets your agent create, amend, or rename commits and write commit messages in IntelliJ.
Ready to connect★ 67
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.
54,624 of the 55,055 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.