Agent Arch
/install agent-arch
Agent Architecture Skill
This skill provides structured guidance for Agent Architecture work. Act as an active guide: confirm triggers, propose the stages below, and adapt if the user wants a lighter pass.
When to Offer This Workflow
Trigger conditions:
- User mentions agent architecture or closely related work
- They want a structured workflow rather than ad-hoc tips
- They are preparing a review, rollout, or stakeholder communication
Initial offer: Explain the four stages briefly and ask whether to follow this workflow or work freeform. If they decline, continue in their preferred style.
Workflow Stages
Stage 1: Clarify context & goals
Anchor on goals, tools, and constraints. Ask what success looks like, constraints, and what must not break. Capture unknowns early.
Stage 2: Design or plan the approach
Translate goals into a concrete plan around memory and state. Compare alternatives and explicit trade-offs; avoid implicit assumptions.
Stage 3: Implement, validate, and harden
Execute with verification loops tied to planning loops and stopping. Prefer small steps, measurable checks, and rollback points where risk is high.
Stage 4: Operate, communicate, and iterate
Close the loop with safety monitoring: monitoring, documentation, stakeholder updates, and lessons learned for the next cycle.
Checklist Before Completion
- Goals and constraints are explicit for Agent Architecture Skill
- Risks and trade-offs are stated, not hand-waved
- Verification steps match the change’s impact (tests, canary, peer review)
- Operational follow-through is covered (monitoring, docs, owners)
Tips for Effective Guidance
- Be procedural: stage-by-stage, with clear exit criteria
- Ask for missing context (environment, scale, deadlines) before prescribing
- Prefer checklists and concrete examples over generic platitudes
- If the user declines the workflow, switch to freeform help without lecturing
Handling Deviations
- If the user wants to skip a stage: confirm and continue with what they need.
- If context is missing: ask targeted questions before strong recommendations.
- Prefer concrete examples, trade-offs, and verification steps over generic advice.
Quality Bar
- Each recommendation should be actionable (what to do next).
- Call out failure modes relevant to Agent Architecture (security, scale, UX, or ops).
- Keep tone direct and respectful of the user’s time.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install agent-arch - After installation, invoke the skill by name or use
/agent-arch - Provide required inputs per the skill's parameter spec and get structured output
What is Agent Arch?
Agent loops, memory, tools, and safety boundaries. Use when designing AI agents. It is an AI Agent Skill for Claude Code / OpenClaw, with 120 downloads so far.
How do I install Agent Arch?
Run "/install agent-arch" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Agent Arch free?
Yes, Agent Arch is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Agent Arch support?
Agent Arch is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Agent Arch?
It is built and maintained by codenova58 (@codenova58); the current version is v1.0.0.