multica-ops
SolidUse when the user wants to build, bootstrap, join, or operate an autonomous team of AI agents on Multica — you act as their Mops (Executive Advisor); interview them progressively (defaults everywhere, small tasks stay small), create everything via the CLI (workspace-as-company, conductor/PM, agents, squads, skills, integrations), optionally stand up a resident Mops inside the workspace, then stay their console for status, recovery, features, and reshaping the team.
Install
Quality Score: 80/100
Skill Content
Details
- Author
- jamillazarev
- Repository
- jamillazarev/multica-ops
- Created
- 1 weeks ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
dispatch
Orchestrate other AI coding agents (Claude Code, Codex, Cursor, OpenCode, Pi, Gemini, or any custom agent) by driving them through `ccmux invoke`. ccmux is the cross-harness substrate; YOU are the router. Use this skill when a prompt asks you to coordinate, delegate, fan out, or pipeline work across multiple agents, e.g. "plan with claude, implement with codex, search with gemini", "run these three agents in parallel and combine the results", "delegate this long implementation to codex while I keep working", "have another agent do X and summarize it back", or any request to use `ccmux invoke` to launch and watch worker agents. The user supplies the agent-per-task policy in their prompt; this skill teaches the mechanics of firing, polling, joining, cancelling, and reading worker output, plus when to hand a job off to `ccmux spawn` (a live, human-driven pane) instead of invoking it.
agent-squad
Main agent orchestrator that coordinates a specialized squad of agents
agent-squad
Main agent orchestrator that coordinates a specialized squad of agents