Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Internal Oz child-agent orchestration playbook for Claude Code child runs. Invoke only when the Oz harness system prompt tells you to coordinate with a lead run through the Oz CLI in `OZ_CLI`, using `OZ_RUN_ID` and `OZ_PARENT_RUN_ID`.
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
Manages parent/child agent relationships with task delegation and result aggregation. Supports sequential chains, parallel fans, conditional routing, retry logic, timeout handling, and YAML-based visual workflow definition.
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
**ANALYSIS SKILL** — Audit-grade reference for Anthropic Claude and OpenAI GPT-5.5 prompting best practices. WHEN: "claude prompting", "gpt-5.5 prompting", "audit agent", "review prompt", "vendor best practices", "anthropic best practices", "openai prompting". DO NOT USE FOR: routine prompt edits where rules are already known, generic markdown style (markdown.instructions.md).
Design agents with genuine humanity — craft SOUL.md, IDENTITY.md, USER.md, and AGENTS.md files that produce agents people actually connect with. Use when: (1) creating a new agent's personality and identity files, (2) refining an existing agent's voice, tone, or depth, (3) an agent wants to self-improve by rewriting its own configuration files, (4) reviewing agent files for authenticity and diagnosing why an agent feels robotic or hollow, (5) the user says "design an agent," "shape their personality," "make them feel more real," "agent identity," "soul file," or "agent architect."
Build and deploy GitHub Copilot SDK apps to Azure. WHEN: build copilot app, create copilot app, copilot SDK, @github/copilot-sdk, scaffold copilot project, copilot-powered app, deploy copilot app, host on azure, azure model, BYOM, bring your own model, use my own model, azure openai model, DefaultAzureCredential, self-hosted model, copilot SDK service, chat app with copilot, copilot-sdk-service template, azd init copilot, CopilotClient, createSession, sendAndWait, GitHub Models API.