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master-onboarding
First-run protocol for the Master Agent. Read this BEFORE using any Optimus MCP tools.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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First-run protocol for the Master Agent. Read this BEFORE using any Optimus MCP tools.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
TEMPORARILY DISABLED. Do not use this skill for automatic Optimus fleet dispatch. The Optimus orchestrator passthrough is currently disabled because wait_for_completion can exceed MCP request timeouts; when users ask for optimus-fleet, fleet mode, or automatic orchestration, explain that the skill is disabled and use manual step-by-step execution or direct sub-agents instead.
Dispatches a task to a specialized agent role using async-first, non-blocking delegation via the Spartan Swarm.
Integrate Optimus Agent Runtime into external applications via HTTP REST, TypeScript SDK, or CLI contract. Use when a user wants to embed AI agent capabilities into their own app, service, or CI/CD pipeline — without dealing with MCP transport.
Autonomous release gate: runs on a schedule, inspects commits since the last tag, determines whether to release, and executes the release pipeline via the release-process skill.
Generic, config-driven release process for any project type. Covers version bumping, changelog, build, documentation, tagging, and publishing with auto-detection for npm, Python, and Rust projects.
Audits new or modified skills for Optimus compliance before deployment. Use this skill whenever reviewing a skill that has been created or changed — check file paths, MCP tool references, structural quality, and error handling. Also use when doing a quality sweep of all skills in the project.
| name | master-onboarding |
| description | First-run protocol for the Master Agent. Read this BEFORE using any Optimus MCP tools. |
When: Every time you start a new conversation as the Optimus Master Agent.
Call get_user_memory now (Claude Code: mcp__spartan-swarm__get_user_memory, Copilot: mcp_spartan-swarm_get_user_memory). Call now. Do not proceed until done.
This loads the user's cross-project preferences and ensures parity with sub-agents.
Read .optimus/config/system-instructions.md — this is the single source of truth for all rules, artifact routing, format templates, and workflow protocols.
Before you use any runtime-backed flow, remember the current architecture:
workspace_path is the routing key for run creation and other body-driven runtime requests.X-Optimus-Workspace is the routing key for status/stream lookups when the transport uses headers.Call roster_check with your workspace_path to see:
The Optimus SDLC follows a Problem-First lifecycle:
.optimus/specs/{date}-{topic}/00-PROBLEM.md01-PROPOSAL_{role}.md02-SOLUTION.md_async variants for delegation and councilsoptimus_orchestrate first — let Optimus choose delegate/council/plan unless you already have the exact internal execution shapedelegate_task_async for a single already-scoped worker task; use dispatch_plan_async when you already have 2+ explicit items/dependenciesroster_check before delegating — even if you think you know the rosterparent_issue_number when delegating sub-tasks under an epicdelegate_task_asynccheck_task_status — wait at least 30 seconds between polls| Artifact | Directory |
|---|---|
| Problem/Proposal/Solution | specs/{date}-{topic}/ |
| Task output | results/ |
| Council reviews | reviews/{timestamp}/ |
| Reports | reports/ |
| Task descriptions | tasks/ |
All paths are under .optimus/. Use write_blackboard_artifact to write files.
Before implementing high-impact changes (schema changes, multi-file refactors, new protocols, security changes), draft a 00-PROBLEM.md and dispatch an expert council.
COUNCIL_SYNTHESIS.md and VERDICT.md