Agents
AI agents and automation
m365-agent-scaffolder
by sebastienlevert
Quickly scaffolds new Microsoft 365 Copilot declarative agent (M365 agent, copilot agent, agent, declarative copilot, copilot) projects using ATK CLI. Collects project information and creates the initial project structure. Use only when creating a new empty M365 Copilot agent project from scratch.
writing-skills
by eyadsibai
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Agent Orchestrator
by jmsktm
Coordinate multiple AI agents and skills for complex workflows
langchain-agent
by rebyteai-template
AI agent with tools (search, calculator) using LangGraph and AI SDK.
crewai-agents
by eyadsibai
Use when "CrewAI", "multi-agent systems", "agent orchestration", "AI crews", or asking about "autonomous agents", "agent collaboration", "role-based agents", "agent workflows", "AI team coordination"
building-subagents
by memyselfandm
Systematically creates production-ready Claude Code subagents with research, drafting, and refinement phases. Use when you need a new specialized agent for a specific domain or task pattern.
agent-browser
by derKlinke
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
dispatching-parallel-agents
by derKlinke
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
executing-work-items
by memyselfandm
Executes specific work items ad-hoc using AI agents with intelligent dependency analysis and parallelization. Use when you need to implement one or more specific items outside of a formal sprint, or when testing implementation of individual features.
breaking-down-work
by memyselfandm
Breaks down epics into features and tasks optimized for AI agent execution. Includes structure preparation, parallel codebase analysis, feature sizing, task generation, and dependency mapping. Use when an epic is ready for sprint planning or when a large work item needs decomposition into actionable pieces.
code-review
by rexleimo
Automated code review for pull requests and code changes using multi-agent architecture with confidence-based scoring. Use when reviewing PRs, auditing code changes, checking guideline compliance, or detecting bugs in diffs. Works with GitHub, GitLab, and local git repositories. Compatible with Claude Code, Codex, Cursor, Windsurf, and other AI coding tools.
aave-risk-assessor
by intenxus
This skill should be used when the user asks about "health factor", "liquidation risk", "aave risk", "will I be liquidated", "safe to borrow", "my account health", "collateral risk", "liquidation price", or wants to assess the risk of their AAVE V3 position. Calculates health factor, LTV ratios, liquidation thresholds, and provides risk level assessments for positions on Ethereum and Arbitrum.
automate-whatsapp
by xfstudio
"Build WhatsApp automations with Kapso workflows: configure WhatsApp triggers, edit workflow graphs, manage executions, deploy functions, and use databases/integrations for state. Use when automating WhatsApp conversations and event handling."
SKILL.md - Agent Integration Guide
by pennyhailey
"The protocol preserves evidence, communities decide action."
managing-sprints
by memyselfandm
Manages sprint lifecycle including planning, execution, monitoring, and review. Use for creating sprints from epics (/managing-sprints plan), executing sprints with parallel AI agents (/managing-sprints execute), checking progress (/managing-sprints status), or reviewing completed work (/managing-sprints review). Optimizes for maximum parallelization while avoiding file conflicts.
writing-skills
by hxk622
"创建新技能、编辑现有技能或部署前验证技能时使用。将 TDD 应用于流程文档编写。Use when creating new skills, editing existing skills, or verifying skills work before deployment. Writing skills IS Test-Driven Development applied to process documentation."
agent-framework-azure-ai-py
by ngxtm
"Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code int..."
agent-orchestration-improve-agent
by ngxtm
"Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration."
deeptools
by hxk622
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
code-simplifier
by troykelly
Use when asked to simplify recently changed code without changing behavior or explicitly asked to run the code-simplifier subagent.
agents-v2-py
by ngxtm
"Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry."
agent-config
by ThatGuySizemore
Intelligently modify agent core context files (AGENTS.md, SOUL.md, IDENTITY.md, USER.md, TOOLS.md, MEMORY.md, HEARTBEAT.md). Use when conversation involves changing agent behavior, updating rules, tweaking personality, modifying instructions, adjusting operational procedures, updating memory architecture, changing delegation patterns, adding safety rules, refining prompt patterns, or any other modification to agent workspace configuration files. Triggers on intent to configure, tune, improve, fix, or evolve agent behavior through context file changes.
code-architect
by troykelly
Use when asked for an architecture blueprint or explicitly asked to run the code-architect subagent.
langchain-docs
by jasonz-ncc42
Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.