Multi agent orchestration
Skill MarchRory/liushi_agent_settings/packages/harness/src/.agents/skills/multi-agent-orchestration
Portable Codex agent harness and config monorepo with reusable roles, skills, validation, eval tooling, and safe project install sync.
npx -y skills add MarchRory/liushi_agent_settings --skill multi-agent-orchestrationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Use when a task may need specialist agents, parallel investigation, role routing, debate, review loops, approval gates, or explicit strategy selection before delegation.
SKILL.md
2.9 KB, 562 tokens by cl100k_base, as published. Nobody here has run it
Multi-Agent Orchestration
Core Rule
Lead owns strategy selection, specialist startup, conflict resolution, validation, and final claims. Scripts only generate read-only activation packets; they do not start agents or mutate repositories.
Lead Judgment Prompt
Before running any script, analyze the task as Lead:
- What outcome is needed, and what would make the work actually correct?
- Can Lead finish it alone faster and safer than coordinating specialists?
- Which parts are independent, sequential, uncertain, risky, or validation-heavy?
- What evidence is already available, and what evidence must be collected before delegation?
- Which strategy fits the task shape, and why are the nearest alternatives worse?
- What must specialists not do, including permissions, scope, files, tools, and stop conditions?
Use lead_analysis to capture the task decomposition and lead_strategy_reason to capture the chosen strategy rationale. Structured context fields are useful when they make checks repeatable, but they do not replace Lead judgment. If the script recommendation conflicts with the Lead analysis, do not blindly follow the script; record the override reason and use the safer or more evidence-grounded path.
Workflow
- Start lead-only unless the task signals real coordination value.
- Write a compact task context with
task_summary,lead_analysis,lead_strategy_reason, observed signals, risks, and validation path. - Read
references/activation-rules.mdwhen strategy choice is not obvious. - Use
references/strategy-registry.tomlas the machine-readable strategy pool. - Run
npm run select -- --context-file context.jsonor a strategy script with task-context JSON. - Review the packet: if evidence is missing, over-delegated, unsafe, or less accurate than Lead judgment, revise context or override with a recorded reason.
- Choose models in real time, then start specialists manually with scoped handoffs.
- Use
references/sop.md,references/strategy-playbooks.md, andreferences/anti-patterns.mdbefore broad delegation.
Resource Map
references/strategy-registry.toml: strategy definitions and required evidence.references/model-policy.toml: model selection hints, not hard-coded assignments.references/output-schema.md: activation packet schema.references/platform-compatibility.md: Windows/macOS command and runtime notes.references/research-basis.md: industry, academic, and open-source basis for each strategy.references/strategy-playbooks.md: explicit context fields and SOP for each strategy.scripts/: read-only selector and per-strategy packet generators.fixtures/,schemas/, andsnapshots/: deterministic validation spine for strategy activation behavior.
What ships with it: 45 files
113.5 KB alongside SKILL.md, 15 of them executable
agents/
- openai.yaml310 B
examples/
fixtures/
references/
- activation-rules.md3.2 KB
- anti-patterns.md798 B
- model-policy.toml2.4 KB
- output-schema.md1.8 KB
- platform-compatibility.md1.1 KB
- research-basis.md4.6 KB
- sop.md1.1 KB
- strategy-playbooks.md3.1 KB
- strategy-registry.toml9.2 KB
- workflow.md1.3 KB
schemas/
scripts/
- check_strategy_wrappers.tsruns2.8 KB
- lib/strategy_common.tsruns29.3 KB
- run_activation_examples.tsruns1.6 KB
- run_fixture_snapshots.tsruns4.7 KB
- select_strategy.tsruns386 B
- strategies/batch-map-reduce.tsruns399 B
- strategies/debate-critic-panel.tsruns402 B
- strategies/human-approval-gate.tsruns402 B
- strategies/lead-only-default.tsruns400 B
- strategies/parallel-research-swarm.tsruns406 B
- strategies/reviewer-tester-loop.tsruns403 B
- strategies/selector-group-chat.tsruns402 B
- strategies/sop-assembly-line.tsruns400 B
- strategies/supervisor-router.tsruns400 B
- strategy.tsruns616 B
snapshots/
- package.json709 B
5 more files not listed here. See all 45 in the repository.
Gives 0 of the 12 instructions most agent orchestration skills give in 562 tokens
Counted across 742 of the 995 authors here whose files we hold, read 2026-08-07
- Reference existing artifacts by path or URLin 53 of 742, across 25 files
- Run the full test suite after integrating changesin 51 of 742, across 19 files
- Dispatch one agent per independent problem domainin 50 of 742, across 17 files
- Verify fixes do not conflictin 45 of 742, across 13 files
- Include a suggested skills section in the documentin 45 of 742, across 17 files
- Redact sensitive informationin 41 of 742, across 11 files
- Save to the temporary directory of the operating systemin 39 of 742, across 10 files
- Tailor the document to user-provided focus argumentsin 39 of 742, across 9 files
- Spot check agent changes for systematic errorsin 34 of 742, across 7 files
- Write a handoff document summarising the current conversationin 31 of 742, across 6 files
- Assign each agent a specific scopein 23 of 742, across 8 files
- Provide specific scope and clear goalin 23 of 742, across 5 files
Said here and by no other author read
- start lead-only unless coordination adds value
- write compact task context before delegating
- read activation rules when strategy is unclear
- run strategy selector with context file
- review packet before delegation
- override script if safer path exists
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.