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review-orchestrator

Review-orchestrator 是为长期文献综述项目设计的多 agent 工作流控制器。它把检索、框架规划与撰写拆成三个独立的子 agent,并强制在规划被批准后才能进入写作阶段。工作流状态保存在本地文件中而非对话记忆,因此能跨越多次会话持续管理。适用于需要反复迭代、多人协作或跨天执行的综述写作场景。

Coordinate long-running literature review projects across the search, planning, and writing subagents. Use when the user wants the system to decide the next stage, enforce plan approval before drafting, or manage the review workflow over time.

Repo
Chanw-research/claude-code-paper-writing
Slug
review-orchestrator

SKILL.md

Review Orchestrator

Use this skill when the user wants the literature-review system to behave like a coordinated multi-agent workflow rather than a set of manually switched skills.

This skill acts as the controller for three subagents:

  • openalex-ajg-insights for literature collection and evidence preparation
  • management-review-planner for framework design and iterative plan refinement
  • management-review-writer for prose drafting inside the approved framework

Core Principle

Keep the workflow file-based and transparent, but let the controller decide which subagent should act next.

Gatekeeping Rules

  1. Do not send the project to the writer until the user has explicitly approved the review plan in the conversation.
  2. After the user says the plan is approved, update the plan status through the orchestration script. Do not ask the user to manually edit the file.
  3. When the plan is approved or reopened, record that state and create a timestamped archive snapshot under 07_plan/history/.
  4. When new literature is added after plan approval, preserve the existing framework by default.
  5. Only reopen the plan if the user explicitly asks to revise the framework.

Workflow

  1. Inspect the workspace state with scripts/review_state_manager.py status.
  2. Route to the correct subagent.
  3. If the user explicitly approves the plan, run approve-plan.
  4. If the user explicitly wants to revise the framework, run reopen-plan and return to the planner.
  5. Keep all handoffs grounded in workspace files rather than ephemeral chat memory.

What To Ask The User

When a draft plan is ready, ask directly whether the framework should be frozen.

If the user says yes, run the approval command yourself.

Platform-Agnostic Quick Start

Use these placeholders on any operating system:

  • <workflow-python>: the Python interpreter that can run the orchestration script
  • <review-gen-home>: the folder containing the review-gen package or its installed skills
  • <review-workspace>: the target review workspace
python <review-gen-home>/skills/review-orchestrator/scripts/review_state_manager.py \
  status \
  --workspace <review-workspace>

After the user explicitly approves the framework:

python <review-gen-home>/skills/review-orchestrator/scripts/review_state_manager.py \
  approve-plan \
  --workspace <review-workspace> \
  --approved-by user-confirmed-in-chat

References

Read only what is needed:

  • references/orchestration-rules.md

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