g-eskayo/marvin/research-colony

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Autonomous research agent that monitors arXiv, GitHub, and HN daily, cross-references findings against MARVIN's knowledge base, and synthesises a digest. Use when the user wants today's research digest, what's new in AI/research, or wants the colony run/fetched manually.

Install

npx vskill@latest install g-eskayo/marvin/research-colony

SKILL.md

Research Colony Skill

Autonomous research agent that monitors arXiv, GitHub, and HN daily, cross-references findings against MARVIN's knowledge base, and synthesises a digest.

Triggers

  • "show research digest", "what's new in research", "any new papers"
  • "run research colony", "fetch research", /research-colony
  • Session-start: if ~/.claude/research-digest/YYYY-MM-DD.md exists, mention it

Scripts

ScriptPurpose
source_monitor.pyFetch arXiv/GitHub/HN → ChromaDB research-feed + raw cache
correlate.pyCross-reference research-feed against qa-knowledge + roadmap keywords
research_digest.pyCall claude to synthesise correlated items → ~/.claude/research-digest/
run_colony.pyOrchestrate all three in sequence

Output files

  • ~/.claude/research-feed/YYYY-MM-DD.json — raw per-source fetch cache
  • ~/.claude/research-digest/YYYY-MM-DD.md — final synthesised digest

ChromaDB collections

  • research-feed — all fetched items; metadata includes correlated: true/false, matched_topics
  • qa-knowledge — existing MARVIN knowledge base (read-only here)

Correlation signals

  1. Keyword match — title/summary contains roadmap keywords → tagged with roadmap section (e.g. A.rag, C.vector-db)
  2. Semantic similarity — ChromaDB cosine distance < 1.1 against qa-knowledge

Running manually

bash
# Full colony run
~/.agents/venv/bin/python ~/.agents/skills/research-colony/scripts/run_colony.py
 
# Individual steps
~/.agents/venv/bin/python ~/.agents/skills/research-colony/scripts/source_monitor.py
~/.agents/venv/bin/python ~/.agents/skills/research-colony/scripts/correlate.py
~/.agents/venv/bin/python ~/.agents/skills/research-colony/scripts/research_digest.py

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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Quality evaluation

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Source

Popularity

Repository stars
1
7-day trend score
8

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