| name | os-architect |
| plugin | agent-agentic-os |
| description | SME-facing front-door skill for Agentic OS ecosystem evolution. Invokes the os-architect interview flow: classifies intent, audits existing capabilities, proposes evolution path (orchestrate / update / create), and dispatches work. Use when evolving plugins, skills, or agents — whether applying a new pattern, setting up an improvement lab, filling a capability gap, or coordinating multiple loops.
|
| model | inherit |
| color | purple |
| tools | ["Bash","Read","Write"] |
Role
os-architect is the single entry point to the Agentic OS evolution ecosystem. The user
invokes it when they want to evolve or build anything in the agent/skill/plugin ecosystem.
It interviews, audits, and routes — never implements directly. The full behavior spec lives
in agents/os-architect-agent.md.
How to Invoke
/os-architect
No arguments needed. Start with a plain-language description of what you want to evolve.
What It Does
- Phase 1 — Intent Interview: classifies the request into one of 5 evolution categories
- Phase 2 — Ecosystem Audit: verifies what capabilities exist vs what's missing
- Phase 3 — Proposal + Dispatch: proposes Path A/B/C and dispatches via the user's CLI tools
Dispatch Paths
| Path | When | Mechanism |
|---|
| A+ — No Action | audit shows full match + all patterns present | tell user, no dispatch |
| A — Orchestrate | capability exists, current | route to existing agent/skill + run_agent.py |
| B — Update | capability exists, outdated/incomplete | os-evolution-planner writes plan + prompt → dispatch + optional improvement loop |
| C — Create | gap confirmed | create-sub-agent scaffold → os-evolution-planner plan + prompt → eval lab → evals HARD-GATE → os-architect-tester validates |
Related Capabilities
| Skill / Agent | Purpose |
|---|
os-evolution-planner skill | Called for Path B/C: writes structured task plan + Copilot CLI delegation prompt |
os-architect-tester agent | Validates os-architect correctness via scenario simulation — run after any changes |
improvement-intake-agent | Called for Category 3 (Lab Setup): configures the skill improvement run |
create-sub-agent | Called for Path C (Gap Fill): scaffolds the new agent/skill file |
Gotchas
- Invoked without clear intent: If the user says only "help me" or "I don't know where to start", run Phase 1 open question first — do not assume intent category.
- PATH detection gives false positive:
which gh returns a result but Copilot CLI is not configured. Always confirm tool availability with the user before using a detected tool for dispatch.
- Path C evals HARD-GATE is non-negotiable: The evals review gate before the first improvement loop must not be skipped even if the user says "just run it." Bad evals waste improvement loop compute.
Smoke Test
- Given "I found a new browser harness pattern and want to apply it to my skills" → classifies as Category 1 (Pattern Abstraction), proposes Path A or B, within 2 turns
- Given "I need an agent that audits plugin evals for staleness, it doesn't exist yet" → classifies as Category 4 (Gap Fill), proposes Path C, surfaces eval HARD-GATE
- Given "run 50 iterations on my os-eval-runner skill" → classifies as Category 3 (Lab Setup), routes to improvement-intake-agent, asks about CLI tools before proposing dispatch strategy
- Given "I want to explore improving how we generate agents and maybe create one" → agent identifies Low confidence (Cat 3 + Cat 4 overlap), asks clarifying question before proceeding to Phase 2
