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Discover and install skills to enhance your AI agent's capabilities.

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executing-plans

shousper/claude-kit

Coordinates batch execution of a written implementation plan by spawning implementer and reviewer teammates, executing tasks in batches with automated review gates, and pausing for human feedback between batches. Use when handed a plan file to execute, resuming plan work in a new session, or running a standalone plan outside the brainstorming flow. DO NOT TRIGGER for same-session execution after brainstorming — use kit:team-dev instead.

Skills

pulumi-automation-api

pulumi/agent-skills

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, inline programs). Also load for questions about multi-stack sequencing, parallel deployments, or passing outputs between stacks via code.

Skills

parallel-worktrees

rohitg00/pro-workflow

Create and manage git worktrees for parallel coding sessions with zero dead time. Use when blocked on tests, builds, wanting to work on multiple branches, context switching, or exploring multiple approaches simultaneously.

Skills

agent-teams-simplify-and-harden

pskoett/pskoett-ai-skills

Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.

Skills

agent-teams-simplify-and-harden

pskoett/pskoett-ai-skills

Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.

Skills

automating-ioc-enrichment

mukul975/Anthropic-Cybersecurity-Skills

Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and standardize enrichment outputs. Use when building automated enrichment workflows integrated with SIEM alerts, email submission pipelines, or bulk IOC processing from threat feeds. Activates for requests involving SOAR enrichment, Cortex XSOAR, Splunk SOAR, TheHive, Python enrichment pipelines, or automated IOC processing.

Skills

dojo-token

dojoengine/book

Implement, deploy, and index ERC20 and ERC721 tokens in Dojo. Use when adding token contracts, deploying them, or configuring Torii to index balances and transfers.

Skills

sdd-init

Gentleman-Programming/agent-teams-lite

Initialize Spec-Driven Development context in any project. Detects stack, conventions, and bootstraps the active persistence backend. Trigger: When user wants to initialize SDD in a project, or says "sdd init", "iniciar sdd", "openspec init".

Skills

react-admin

marmelab/react-admin

This skill should be used when building, modifying, or debugging a react-admin application — including creating resources, lists, forms, data fetching, authentication, relationships between entities, custom pages, or any CRUD admin interface built with react-admin.

Skills

dojo-token

steebchen/proof-of-war

Implement, deploy, and index ERC20 and ERC721 tokens in Dojo. Use when adding token contracts, deploying them, or configuring Torii to index balances and transfers.

Skills

langchain-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

Configure LangChain local development workflow with testing and mocks. Use when setting up dev environment, creating test fixtures with mocked LLMs, or establishing a rapid iteration workflow for LangChain apps. Trigger: "langchain dev setup", "langchain local development", "langchain testing", "langchain mock", "test langchain chains".

Skills

klingai-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Production readiness checklist for Kling AI integrations. Use before going live or during deployment review. Trigger with phrases like 'klingai production ready', 'kling ai go live', 'klingai checklist', 'deploy klingai'.

Skills

klingai-hello-world

jeremylongshore/claude-code-plugins-plus-skills

Create your first Kling AI video generation with a minimal working example. Use when learning Kling AI or testing your setup. Trigger with phrases like 'kling ai hello world', 'first kling video', 'klingai quickstart', 'test klingai'.

Skills

granola-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

Build event-driven automations with Granola's Zapier webhook triggers. Use when creating real-time notification systems, processing meeting events, or building custom integrations that react to Granola note creation. Trigger: "granola webhooks", "granola events", "granola triggers", "granola real-time", "granola event-driven".

Skills

grill-me

mattpocock/skills

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

Skills

clay-advanced-troubleshooting

jeremylongshore/claude-code-plugins-plus-skills

Deep-debug complex Clay enrichment failures, provider degradation, and data flow issues. Use when standard troubleshooting fails, investigating intermittent enrichment failures, or preparing detailed evidence for Clay support escalation. Trigger with phrases like "clay hard bug", "clay mystery error", "clay impossible to debug", "difficult clay issue", "clay deep debug".

Skills
metis-strategy/metis-html-slides
v2.0.8

Generate interactive HTML presentations with sidebar navigation, scrollable sections, and 40+ typography-driven components. Supports Metis branding with auto-embedded logo and client brand extraction from PPTX templates. Output is a self-contained HTML file viewable in any browser.

Contains:

metis-html-slides

Generate HTML presentations as self-contained single files with persistent sidebar navigation, scrollable sections, and interactive components. Use this skill when the user wants a polished visual presentation viewable in a browser. Ideal for internal decks, workshop materials, strategy frameworks, and any deliverable that should feel like a premium consulting product — not a generic AI output. Supports Metis branding (default) and client brand extraction from PPTX templates. Triggers on "html slides," "html presentation," "browser deck," or when the user explicitly asks for HTML output instead of PPTX.

Skills

Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass.

Contains:

test-fixing

Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass.

Skills

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.

Contains:

langgraph

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.

Skills

Turn JSON or PostgreSQL jsonb payloads into compact readable context for LLMs. Use when a user wants to compress JSON, reduce token usage, summarize API responses, or convert structured data into model-friendly text without dumping raw paths.

Contains:

json-to-llm-context

Turn JSON or PostgreSQL jsonb payloads into compact readable context for LLMs. Use when a user wants to compress JSON, reduce token usage, summarize API responses, or convert structured data into model-friendly text without dumping raw paths.

Skills

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