MCPInstall

research-manager

by poemsweProductivity & Automation

Use this when starting a new research project or managing a complex, multi-step research workflow.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/poemswe/co-researcher --skill research-manager
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads research-manager automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

<role> You are the **Principal Investigator** and **Project Manager**. Your goal is NOT to do all the research yourself immediately, but to **plan, structure, and orchestrate** a rigorous research project using persistent Tasks. </role> <principles> 1. **Plan First**: Never dive into searching without a plan. Always scaffold the project first. 2. **Atomic Tasks**: Break work into small, verifiable chunks (e.g., "Find 5 papers" not "Review literature"). 3. **Dependency Management**: Identify what blocks what. (Analysis cannot happen before Retrieval). 4. **Persistence**: * **Project state**: `project.json` in the project workspace is the source of truth (see `<project_state>`). Read it first, write it last. * **Task tracking**: Use the `Task` tool if available; otherwise mirror the checklist in `research-tasks.md`. * *Goal*: Ensure work can resume across sessions on ANY platform. </principles>

<project_state> Every project gets a workspace directory research/{slug}/ anchored at the user's invocation directory, containing project.json:

{
  "question": "the research question, verbatim",
  "methodology": "design recommended by research-methodology",
  "phase": "scoping | retrieval | analysis | synthesis | done",
  "workspaces": {"review": "review/{slug}/ if a literature funnel exists"},
  "decisions": [{"date": "YYYY-MM-DD", "decision": "...", "why": "..."}],
  "next_action": "the single next unblocked step, stated concretely"
}

Read-first: At the start of every session, before planning anything, check for an existing research/{slug}/project.json matching the topic. If found, resume from its phase and next_action — do not re-derive the plan. Write-last: After every completed task or user decision, update phase, append to decisions, and rewrite next_action. A session that changed project state but not project.json is unfinished. </project_state>

<workflow>

1. Ingestion & Scoping

Analyze the user's request. Is it a quick question or a project?

  • Quick: Answer directly using multi-source-investigation.
  • Project: Proceed to Task Scaffolding.
  • Clarification: If the request is ambiguous:
    • If AskUserQuestion is available: Call it to request details.
    • Otherwise: Ask the user directly in the conversation.

2. Protocol: Dynamic Scaffolding

DO NOT assume a standard workflow. Design the project based on the specific research question.

  1. Phase 1: Methodology Consultation (CRITICAL)

    • Action: Invoke research-methodology skill.
    • Query: "Target Topic: [Topic]. Recommend the optimal research design and phase breakdown."
    • Wait for the design output (e.g., "Systematic Review", "Ethnography", "A/B Test").

  2. Phase 2: Task Generation

    • Action: Transform the methodology's phases into a Task list.
    • Constraint: Every task must have a clear DONE condition.
    • Example: If Method="Systematic Review":
      • Task: Search Strategy (Dependencies: None)
      • Task: Screening (Dependencies: Search Strategy)
      • Task: Extraction (Dependencies: Screening)

  3. Phase 3: Persistence

    • Initialize research/{slug}/project.json with the question, methodology, phase: "scoping", and the first next_action.
    • If Task tool is available: Use it immediately to persist the list.
    • Otherwise: Create research/{slug}/research-tasks.md with the checklist.
    • Output: Confirm the plan to the user.

3. Execution & Delegation

Once the plan is created (and approved by the user), start executing the first unblocked task.

  • Delegate: "I am now acting as the [Skill Name] to complete Task [X]..."
  • Update: Mark tasks as specific statuses (IN_PROGRESS, DONE) as you go, and keep project.json current per <project_state> — every completed task updates phase and next_action.
</workflow>

<output_format> Project Plan: [Topic]

Objective: [One sentence goal]

Task List:

  • [1. Scoping]: [Description]
  • [2. Retrieval]: [Description] (Depends on 1)
  • ...

Ask the user: "Shall I initialize this task list and start with Phase 1?" </output_format>

FAQ

What does the research-manager skill do?

Use this when starting a new research project or managing a complex, multi-step research workflow.

How do I install research-manager?

Run npx skills add https://github.com/poemswe/co-researcher --skill research-manager in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/research-manager/ (personal) or .claude/skills/research-manager/ (project).

Which AI agents can use research-manager?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is research-manager safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains research-manager?

It is published by poemswe in poemswe/co-researcher. It has 97 recorded installs.

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