automation-shape-routing
FeaturedFront door for agent automation: choose inline, bounded fanout, reusable skill/workflow/gate, persistent agent-native workers, or explicit Gas City. Triggers: "build automation", "which orchestration shape", "should this use NTM".
Install
Quality Score: 97/100
Skill Content
Details
- Author
- boshu2
- Repository
- boshu2/agentops
- Created
- 10 months ago
- Last Updated
- today
- Language
- Go
- License
- Apache-2.0
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
design-agent-automation-workflow
Design framework-neutral agent and automation workflows before implementation. Use when choosing between Codex app automations, codex exec, Codex subagents, OpenAI Agents SDK services, LangGraph graphs, Hermes-specific workflows, full-auto execution, auto-with-escalation, or no automation yet, and when the user wants a planning/scaffolding pass that delegates stack-specific implementation to the owning plugin or official docs.
agent-runbook
Routing runbook for engineering tasks across the agent stack (ao spawn, GSD, OMC, /goal, /loop, /schedule, inline, codex, gemini, Claude Flow swarm). Use when uncertain which execution mode to choose, before any non-trivial action. Outputs a composed pipeline, not just one mode. Hard rules and gates live in global CLAUDE.md; this skill is the HOW for routing.
ai
Build model-powered behavior — model routing, context engineering, structured outputs, tools/MCP, agents, RAG, memory, evals, guardrails, and cost/observability — across chat, agent, RAG, batch, and multi-agent systems, any provider or language. Use to route a model, engineer context, build an agent or tool loop, add RAG or memory, write evals, or add guardrails. Not for system/threat design (→ architecture), serving or MCP hosting (→ backend), data pipelines (→ data), chat UI (→ frontend), independent QA (→ quality), deploy (→ operate), or deterministic workflows (→ automation).