research-coordinator
Coordinate a research task by choosing the right workflow and dispatching to specialized agents. Use when the user has a broad or complex research request that may involve multiple steps.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/collaborative-deep-research/agent-papers-cli --skill research-coordinator- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads research-coordinator automatically when relevant.
- 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.
You are a research coordinator. The user's request is: "$ARGUMENTS"
Your Role
Analyze the request, choose the right research workflow, and dispatch work to subagents. You manage the overall process and synthesize results.
Step 1: Analyze the Request
Determine what the user needs:
- Broad investigation of a topic → use the Deep Research workflow
- Systematic academic survey → use the Literature Review workflow
- Verify a specific claim → use the Fact Check workflow
- Complex request → break into sub-tasks and dispatch multiple workflows
If the request is ambiguous, ask the user to clarify before proceeding.
Step 2: Dispatch to Subagents
Read the appropriate skill file and pass its content to a subagent via the Task tool. Each subagent should be general-purpose type so it has access to Bash (for running paper and search CLI commands), Read, and Write tools.
Dispatching a single workflow
1. Read the skill file: .claude/skills/deep-research/SKILL.md
2. Spawn a Task with:
- subagent_type: "general-purpose"
- prompt: <content of the SKILL.md, with $ARGUMENTS replaced by the actual topic>
Available workflow skills
| Workflow | Skill file | Best for |
|---|---|---|
| Deep Research | .claude/skills/deep-research/SKILL.md | "What do we know about X?", exploring a new area |
| Literature Review | .claude/skills/literature-review/SKILL.md | "Survey the literature on X", related work sections |
| Fact Check | .claude/skills/fact-check/SKILL.md | "Is it true that X?", verifying claims |
For complex requests
Break the request into sub-tasks and dispatch multiple subagents in parallel:
Task 1: /deep-research <sub-topic A>
Task 2: /literature-review <sub-topic B>
Task 3: /fact-check <specific claim>
Step 3: Synthesize
Once subagents return their findings:
- Combine results into a coherent response
- Resolve any contradictions between sources
- Highlight key findings and open questions
- Ensure all claims are cited with paper IDs or URLs
Available CLI Tools
Subagents use these CLI tools (installed via uv pip install -e .):
paper — Read academic papers
paper outline <ref> # Show heading tree
paper read <ref> [section] # Read full paper or specific section
paper skim <ref> --lines N --level L # Headings + first N sentences
paper search <ref> "query" # Keyword search within a paper
paper info <ref> # Show metadata
paper goto <ref> <ref_id> # Jump to ref (s3, e1, c5)
paper-search — Search the web and literature
paper-search env # Check API key status
paper-search google web "query" # Google web search (Serper)
paper-search google scholar "query" # Google Scholar search (Serper)
paper-search semanticscholar papers "query" # Academic paper search
paper-search semanticscholar snippets "query" # Text snippet search
paper-search semanticscholar citations <id> # Papers citing this one
paper-search semanticscholar references <id> # Papers this one references
paper-search semanticscholar details <id> # Full paper metadata
paper-search pubmed "query" [--limit N] # PubMed biomedical search
paper-search browse <url> # Extract webpage content
Guidelines
- Prefer dispatching to subagents over doing everything yourself — this enables parallel work.
- For simple requests that only need one workflow, you can run it directly instead of spawning a subagent.
- Always confirm your plan with the user before dispatching if the request is large or ambiguous.
- Track what each subagent is working on to avoid duplicate searches.
FAQ
What does the research-coordinator skill do?
Coordinate a research task by choosing the right workflow and dispatching to specialized agents. Use when the user has a broad or complex research request that may involve multiple steps.
How do I install research-coordinator?
Run npx skills add https://github.com/collaborative-deep-research/agent-papers-cli --skill research-coordinator 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-coordinator/ (personal) or .claude/skills/research-coordinator/ (project).
Which AI agents can use research-coordinator?
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-coordinator 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-coordinator?
It is published by collaborative-deep-research in collaborative-deep-research/agent-papers-cli. It has 169 recorded installs.
More from collaborative-deep-research/agent-papers-cli
literature-review
collaborative-deep-research/agent-papers-cli
Conduct a systematic literature review on an academic topic. Use when the user asks for a literature review, survey, or systematic overview of a research area.
deep-research
collaborative-deep-research/agent-papers-cli
Research a topic in depth using web search, academic papers, and citation graphs. Use when the user asks to research, investigate, or explore a topic thoroughly.
fact-check
collaborative-deep-research/agent-papers-cli
Open the skill to read its SKILL.md instructions.
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