Coordinate end-to-end multi-agent AI workflows across Claude Code, Codex, Gemini, and OpenCode.
npx skills add https://github.com/akillness/oh-my-skills --skill jeo-akillness
Please help me install this Agent Skill. Skill: jeo Source: https://github.com/akillness/oh-my-skills/tree/main/.agent-skills/jeo Command: npx skills add https://github.com/akillness/oh-my-skills --skill jeo-akillness
This integrated orchestration skill coordinates end-to-end multi-agent workflows, unifying planning, execution, QA, and cleanup across multiple AI platforms while keeping a durable local ledger for traceability.
To begin, run jeo "<task description>" to activate the orchestration workflow.
High-intent search queries and answers about installing and using this skill.
Multi-agent AI workflow orchestration coordinates planning, execution, and QA across Claude Code, Codex, Gemini, and OpenCode. It unifies these platforms using plan gating and UI annotation verification to manage cross-tool execution with state persistence.
Plan gating in multi-agent AI development enforces structured task progression by validating planning phases before execution. It uses plannotator gates and BMAD fallback mechanisms to ensure scope compliance before downstream agents proceed.
Track multi-agent AI project progress using a project-local .jeo ledger that persists state. It maintains long-term, short-term, planned, progress, and history data to ensure full traceability of scope, outcomes, and task execution across sessions.
Yes, agentation UI verification validates interface changes during cross-platform AI workflows. It integrates with the orchestration cycle to verify UI annotations alongside QA and cleanup phases across supported coding tools.
Yes, end-to-end AI orchestration depends on plannotator and agentation-mcp. These dependencies provide the foundational plan gating logic and UI annotation verification required to coordinate multi-agent execution.
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