> browse/registry

> avoid-feature-creep

Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.

> ai-first-engineering

团队中人工智能代理生成大部分实施输出的工程运营模型。

> azure-ai-agents-persistent-java

Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".

> byterover

You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, decisions, and architectural rules in .brv/context-tree. Uses a configured LLM provider (default: ByteRover, no API key needed) for query and curate operations.

> performance-testing-review-multi-agent-review

Use when working with performance testing review multi agent review

> agent-framework

Create AI agents and workflows using Microsoft Agent Framework SDK. Supports single-agent and multi-agent workflow patterns. USE FOR: create agent, build agent, scaffold agent, new agent, agent framework, workflow pattern, multi-agent, MCP tools, create workflow. DO NOT USE FOR: deploying agents (use agent/deploy), evaluating agents (use agent/evaluate), Azure AI Foundry agents without Agent Framework SDK.

> prompt-agent

Security audit enforcement for AI agents. Automated security scans and health verification.

> agent-browser

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.

> agent-harness-construction

设计和优化AI代理的动作空间、工具定义和观察格式，以提高完成率。

> model-hierarchy

Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task, (2) spawning sub-agents, (3) considering cost efficiency, (4) the current model feels like overkill for the task. Triggers: "model routing", "cost optimization", "which model", "too expensive", "spawn agent".

> data-analyst

Data visualization, report generation, SQL queries, and spreadsheet automation. Transform your AI agent into a data-savvy analyst that turns raw data into actionable insights.

> langchain-architecture

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

> hosted-multi-agent-orchestrator

Coordinate multiple AI agents (host + workers) that can chat and generate artifacts in parallel using /api/chat and /api/generate. The host agent stays present at all times, can jump in to steer or summarize, and makes endpoint choices per subtask. The experience is “podcast-like” (guided multi-voice collaboration), not an actual podcast.

> entra-agent-id

Microsoft Entra Agent ID (preview) for creating OAuth2-capable AI agent identities via Microsoft Graph beta API. Covers Agent Identity Blueprints, BlueprintPrincipals, Agent Identities, required permissions, sponsors, and Workload Identity Federation. Triggers: "agent identity", "agent id", "Agent Identity Blueprint", "BlueprintPrincipal", "entra agent", "agent identity provisioning", "Graph agent identity".

> gtm-engineering

When the user wants to build GTM automation with code, design workflow architectures, use AI agents for GTM tasks, or implement the 'architecture over tools' principle. Also use when the user mentions 'GTM engineering,' 'GTM automation,' 'n8n,' 'Make,' 'Zapier,' 'workflow automation,' 'Clay API,' 'instruction stacks,' 'AI agents for GTM,' or 'revenue automation.' This skill covers technical GTM infrastructure from workflow design through agent orchestration. Do NOT use for technical implementati

> ai-sdr

When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development. Do NOT use for technical implementation, cod

> paper-expert-generator

Generate a specialized domain-expert research agent modeled on PaperClaw architecture. Use this skill when a user wants to create an AI agent that can automatically search, filter, summarize, and evaluate academic papers in a specific research field. Trigger phrases include help me create a paper tracking agent for my field, I want an agent to monitor latest papers in bioinformatics, build me a paper review agent for computer vision, create a PaperClaw-style agent for my domain, generate a domai

> agent-rules

Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents.

> autonomous-multi-ai-agents

Coordinate multiple AI agents that can chat, use voice, and edit code/files/folders simultaneously while avoiding destructive collisions. Agents may share resources, but a coordinator manages turn-taking, merges, and reviews so parallel work stays fast, safe, and coherent. Agents communicate via AI chat, team chat, and collab chat channels to coordinate plans and changes.

Build conversational multi-agent systems with Microsoft AutoGen.