skills/25-HosungYou-Diverga/skills/orchestrator/SKILL.md
Unified Agent Teams orchestrator for Diverga v12.0.0. Manages Agent Teams creation, VS Arena debate, and subagent dispatch. Single entry point for all parallel/debate workflows. Replaces research-orchestrator and vs-arena skills. Triggers: orchestrator, agent team, create team, parallel agents, debate, competing, collaborate, VS Arena
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research orchestratorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Execution layer (HOW). Receives agent IDs, decides execution strategy, manages lifecycle.
Does NOT handle:
No circular dependency: coordinator calls orchestrator, never reverse. Orchestrator receives agent IDs and executes; it does not call back into the coordinator.
/diverga:orchestratorOrchestrator does NOT enforce research checkpoints. It trusts the caller (coordinator or user) to have resolved prerequisites.
.research/ context exists, read it; otherwise proceed without checkpoint gating.Request received
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v
Check config.agent_teams.enabled
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+-- false --> Always use subagents (Task with run_in_background)
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+-- true --> Check CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS env var
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+-- not set --> Subagent fallback + warn user
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+-- set --> Evaluate scenario
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+-- Inter-agent debate needed? --> Agent Teams
| (VS Arena, cross-method comparison, competing hypotheses)
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+-- Parallel independent work? --> Agent Teams
| (multi-DB fetch, parallel review, concurrent analysis)
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+-- Sequential pipeline? --> Subagents
| (G5->G6->F5 humanize, single agent tasks)
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+-- Simple single agent? --> Direct Task dispatch
When config.agent_teams.enabled = true AND CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set.
Gather research context from diverga_project_status or user input:
research_question (from CP_RESEARCH_DIRECTION or user)paradigm (from CP_PARADIGM_SELECTION or user)research_field (e.g., Education, Psychology, HRD)target_journal (if available)key_variables (if available)Select 3 of 5 personas (V1-V5) based on paradigm:
| Rule | Always include 1 persona differing from CP_PARADIGM_SELECTION | |------|---------------------------------------------------------------|
| Paradigm | Selection | |----------|-----------| | Quantitative | V1 + V4 + one of V2/V3/V5 | | Qualitative | V4 + V1 + one of V2/V3/V5 | | Mixed | V3 + two of V1/V2/V4/V5 | | No paradigm set | V1 + V3 + V4 (maximum paradigmatic spread) |
All VS Arena personas run on opus.
Create the team and spawn 3 persona teammates:
TeamCreate("vs-arena-{topic}")
Spawn teammate for each selected persona with prompt:
- Research context (question, field, paradigm, variables, journal)
- Persona definition reference (agents/v{N}.md)
- Persona constraints reference (config/personas.json cannotRecommend)
- Instruction: provide exactly ONE methodology recommendation
Each persona investigates the research question independently. No inter-agent communication during this stage.
Teammates message each other directly via team mailbox (SendMessage):
Lead collects all positions and presents at CP_METHODOLOGY_APPROVAL:
## VS Arena: Methodology Recommendations
### Option A: [Persona] Recommendation
Methodology: [name]
T-Score: [score]
Rationale: [brief]
Cross-critique from other personas: [summaries]
### Option B: ...
### Option C: ...
Which methodology would you like to proceed with? (A/B/C)
WAIT for user selection. Record decision.
TeamDelete after user makes selection.
| Scenario | Team Name | Teammates | When |
|----------|-----------|-----------|------|
| VS Arena | vs-arena-{topic} | 3 of V1-V5 | CP_METHODOLOGY_APPROVAL or explicit request |
| Systematic Review | sr-pipeline-{topic} | I1 x3 (per DB) | I0 multi-DB fetch |
| Cross-Method | method-compare-{topic} | C1+C2+C3 | Competing design recommendations |
| Parallel Review | review-{topic} | 2-5 agents | Quality review from multiple angles |
| Custom | {user-specified} | User-specified | Explicit orchestrator call |
Users can request custom teams via natural language:
User: "/diverga:orchestrator create a team with C1 and C2 to compare
quantitative designs for my RCT study"
Orchestrator parses:
- agents: [C1, C2]
- purpose: competing design recommendations
- team_name: "design-compare-rct"
- teammate_count: 2
User: "Have 3 agents review my methodology section from different angles"
Orchestrator infers:
- agents: [X1 (ethics), B2 (quality), G2 (publication readiness)]
- purpose: parallel review
- team_name: "review-methodology"
- teammate_count: 3
Maximum teammates: 5 (per Claude Code best practices). If user requests more, suggest splitting into phases.
When teams are disabled or unavailable, all workflows fall back to subagent dispatch.
Same VS Arena stages, but:
Task(subagent_type="diverga:v{N}", model="opus", run_in_background=true) instead of team creationCross-critique is permanently unavailable in subagent mode. This is a known limitation, not a bug. The orchestrator compensates with its own synthesis.
All agents route to their designated model tier. Source of truth: config/agents.json.
| Category | Agent | Display Name | Tier | Model | |----------|-------|-------------|------|-------| | A: Foundation | A1 | Research Question Refiner | HIGH | opus | | | A2 | Theory & Critique Architect | HIGH | opus | | | A5 | Paradigm Advisor | HIGH | opus | | B: Evidence | B1 | Literature Scout | MEDIUM | sonnet | | | B2 | Quality Appraiser | MEDIUM | sonnet | | C: Design | C1 | Quantitative Design & Sampling | HIGH | opus | | | C2 | Qualitative Design (Ethnography/AR) | HIGH | opus | | | C3 | Mixed Methods Design | HIGH | opus | | | C5 | Meta-Analysis Master | HIGH | opus | | D: Collection | D2 | Data Collection Specialist | MEDIUM | sonnet | | | D4 | Instrument Developer | HIGH | opus | | E: Analysis | E1 | Quantitative Analysis & Code Gen | HIGH | opus | | | E2 | Qualitative Coding | HIGH | opus | | | E3 | Mixed Methods Integration | HIGH | opus | | F: Quality | F5 | Humanization Verifier | MEDIUM | sonnet | | G: Publication | G1 | Journal Matcher | MEDIUM | sonnet | | | G2 | Publication Specialist | MEDIUM | sonnet | | | G5 | Academic Style Auditor | MEDIUM | sonnet | | | G6 | Academic Style Humanizer | HIGH | opus | | I: Systematic Review | I0 | SR Pipeline Orchestrator | HIGH | opus | | | I1 | Paper Retrieval | MEDIUM | sonnet | | | I2 | Screening Assistant | MEDIUM | sonnet | | | I3 | RAG Builder | LOW | haiku | | X: Cross-Cutting | X1 | Research Guardian | HIGH | opus |
V1-V5 personas are not listed here -- they are always invoked through VS Arena at opus tier.
Always pass model parameter explicitly when dispatching:
# HIGH tier
Task(subagent_type="general-purpose", model="opus", ...)
# MEDIUM tier
Task(subagent_type="general-purpose", model="sonnet", ...)
# LOW tier
Task(subagent_type="general-purpose", model="haiku", ...)
Before creating a team, prompt the user:
"Agent Teams will spawn N independent sessions. Proceed?
[Y] Yes / [S] Subagents instead / [N] Cancel"
Skip this prompt if the user explicitly requested teams.
Autonomous modes (Sisyphus, OMC, ralph, ultrawork, ecomode) removed in v6.0. See CHANGELOG.md.
tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.