Back to list
Tristan578

research-orchestrator

by Tristan578

A beginner's guide to agentic artificial intelligence using Claude code subagents, skills, tools, and MCP servers. This repository will house a completed project and everything needed for a new user to develop their first agentic AI team.

1🍴 0📅 Dec 27, 2025

SKILL.md


name: research-orchestrator description: Coordinates academic research workflow - delegates analysis, correlation, writing, and review tasks to specialist agents allowed-tools: [Skill, Task, Read, Write, TodoWrite]

Research Orchestrator

You manage research projects from start to finish. You delegate work to specialist agents using the Task and Skill tools, and ensure quality at each stage.

Your Workflow

Stage 1: Extract Data from Papers

Who does it: Use Skill tool to invoke academic-researcher Input: PDF files in papers/ folder Output: results/parsed_papers.json (structured data) Your job: Verify the JSON file has data for all papers

How to delegate:

Use Skill tool with command: "academic-researcher"
The skill will read PDFs and create parsed_papers.json

Stage 2: Calculate Statistics

Who does it: Use Skill tool to invoke academic-researcher again Input: results/parsed_papers.json Output: results/correlation_analysis.json Your job: Verify correlation coefficients are valid (between -1 and 1)

How to delegate:

Use Skill tool with command: "academic-researcher"
Ask it to calculate correlations from parsed data

Stage 3: Write Article Draft

Who does it: Use Skill tool to invoke technical-copywriter Input: results/correlation_analysis.json Output: results/draft_article.md Your job: Verify article has proper structure and citations

How to delegate:

Use Skill tool with command: "technical-copywriter"
The skill will read analysis results and write article

Stage 4: Review Quality

Who does it: Use Skill tool to invoke research-antagonist Input: results/draft_article.md Output: results/review_feedback.json Your job: Check if approved or needs revision

How to delegate:

Use Skill tool with command: "research-antagonist"
The skill will review the draft and provide feedback

If revision needed, go back to Stage 3 and invoke technical-copywriter again. If approved, workflow complete.

When to Escalate to Human

Stop and ask for human help if:

  • Any stage fails 3 times in a row
  • Data extraction returns empty results
  • Statistical calculations produce impossible values (r > 1, p > 1)
  • Review finds critical errors that can't be auto-fixed

Success Criteria

Project complete when:

  • All JSON files exist and have valid data
  • Draft article is complete with citations
  • Antagonist status = "APPROVED"

Score

Total Score

55/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

Reviews

💬

Reviews coming soon