A system for designing and managing multi-level subagent hierarchies in OpenClaw. Provides explicit upgrade paths, quality gates, and capability unlocks across escalating agent levels. Use this skill only when the user explicitly asks to build, scale, or upgrade a structured hierarchy of subagents — not for ordinary single-agent tasks.
记忆
Agent Harness Builder
试用Build a complete multi-agent orchestration harness for an OpenClaw (or similar) agentic system — defining a CTO/orchestrator agent, tiered specialist agents,...
它能做什么
Build a complete multi-agent orchestration harness for an OpenClaw (or similar) agentic system — defining a CTO/orchestrator agent, tiered specialist agents, context-routing rules, model assignment, memory limits, Slack channel architecture, and a step-by-step implementation guide. Use this skill whenever someone wants to design, document, structure, or hand off an AI agent fleet; mentions orchestrating multiple agents, an "agent harness," agent roles/profiles, a CTO agent, agent routing, or distributing skills/context/models across agents; or wants a packaged architecture doc set they can give to an orchestrator agent or a team. Trigger this even if they just describe the problem ("I have 20 agents and need one to coordinate them") without using the word "harness."
技能文档
Agent Harness Builder
Build a clean, handoff-ready orchestration architecture for a fleet of AI agents. The output is a set of Markdown documents the user can drop into their orchestrator agent's workspace and hand off directly.
Core Philosophy
The orchestrator is the brain; every other agent is a hand. The orchestrator does not do the work — it decides who does the work, with what context, using what model, then monitors and synthesizes results.
The single most important design principle: the orchestrator is informed by agents, not subscribed to everything. Dumping every channel/message into the orchestrator's context is what causes memory bloat and degraded performance. Agents filter noise into structured reports; only signal reaches the orchestrator.
When to use this skill
Use it when the user wants any of: an agent roster with defined roles, a routing/delegation system, an orchestrator agent spec, context/memory management rules across agents, model-tier assignment, or a packaged set of docs to hand to their team or their orchestrator agent.
The Build Process
Follow these steps. Gather what you can from the conversation before asking — the user may have already described their agents, businesses, or tooling.
Step 1 — Gather inputs
You need:
- The orchestrator — name and role (e.g. "Tori, CTO")
- The agent roster — names, roles, and which project/domain each serves. If the user has a list, table, or PDF, extract from it.
- The businesses/domains the agents support
- Available models and rough cost order (e.g. a cheap local/open model, a mid-tier API model, a premium API model)
- The comms layer — usually Slack channels, but could be Discord, etc.
If the user has fewer than ~5 agents, this is probably overkill — tell them so and offer a lighter structure.
Step 2 — Assign tiers
Sort every agent into a tier. This drives model budget and memory limits.
- Tier 0 — Orchestrator: routes, delegates, synthesizes. Premium model. Largest memory.
- Tier 1 — Senior Specialists: complex, multi-step, judgment-heavy work (lead devs, architects, PR directors, strategists). Mid-to-premium model with fallback.
- Tier 2 — Domain Workers: focused, repeatable, domain-specific tasks (admins, schedulers, marketing specialists). Cheap model.
- Tier 3 — Utility Agents: single-function, high-volume, fast (formatters, validators, artists, summarizers). Cheapest/local model.
Step 3 — Generate the document set
Produce these five documents (templates in references/). Always produce all five unless the user asks for a subset.
[ORCHESTRATOR]-READ-THIS-FIRST.md— one-page cold-start brief the orchestrator reads first. Identity, businesses, Slack map, work-flow, top rules, first move. Seereferences/read-this-first-template.md.HARNESS-ARCHITECTURE.md— the full blueprint: philosophy, tier structure, orchestrator responsibilities, presence model, profile schema, model matrix, context rules, routing decision tree, task-brief format, channel architecture, completion-report format, memory architecture, workflow templates, monitoring, implementation checklist. Seereferences/architecture-template.md.AGENT-PROFILES.md— one structured profile per agent (the orchestrator's routing bible), plus a by-domain quick-routing table and a project summary. Seereferences/agent-profiles-template.md.[ORCHESTRATOR]-SYSTEM-PROMPT.md— the orchestrator's actual system prompt: identity, presence model, team roster, routing rules, task-brief format, completion-report format, memory management, escalation rules, comms style, daily rhythm, "what you don't do." Seereferences/system-prompt-template.md.IMPLEMENTATION-GUIDE.md— phased step-by-step build instructions with real shell commands, file locations, common problems, and a maintenance checklist. Seereferences/implementation-guide-template.md.
Step 4 — Apply the key invariants
Bake these into every harness unless the user overrides them:
- Cheapest viable model. The orchestrator always uses the cheapest model that can do the job; escalate up only when needed.
- Hard memory limits. Orchestrator ~15,000 chars; Tier 1 ~8,000; Tier 2/3 ~4,000. Archive overflow monthly to
MEMORY-ARCHIVE.md. (Oversized memory files are the #1 real-world failure — call it out.) - Structured task briefs. Every dispatch uses a fixed brief format (task id, assignee, priority, domain, instruction, output format, constraints, context files, success criteria, report-to channel).
- Completion reports, not channel monitoring. Every agent posts a fixed-format report to a single
#completionschannel; the orchestrator reads that, not raw threads. - Never inject raw logs. Context is trimmed and relevant only — never full memory files, never raw conversation history, never other agents' private memory.
- Escalation rules. Fail twice → escalate. Cost over a threshold → escalate. Legal/financial/client-sensitive → escalate to the human.
Step 5 — Present for handoff
Save all five files to the output directory and present them. Give the user the three-line handoff instruction: (1) drop files in the orchestrator's workspace, (2) paste the system-prompt file into the orchestrator's config, (3) tell the orchestrator to read all files and onboard itself.
Customization notes
- Match the comms layer to the user's tool (Slack/Discord/etc.) — the channel pattern stays the same: one orchestrator command channel, one log channel, one completions channel, one alerts channel, plus per-agent work channels the orchestrator can read but doesn't live in.
- If two agents share a project (e.g. two artists in one corner), they can share a work channel.
- Watch for agents named after real people in the user's life — flag it, don't assume.
- Keep tone matched to the user. Get to the point.
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