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Skills/Backend & APIs
rohitg00 avatar

Wiki Research Loop

rohitg00/pro-workflow

Runs an autonomous breadth-first research loop that grows a wiki by fetching from web, arXiv, and GitHub, deduping claims against existing pages, and queuing…

installs
125
GitHub stars
2.9K
last updated
Jun 8, 2026
View on GitHubSave

Install

$ npx -y skills add rohitg00/pro-workflow --skill wiki-research-loop --agent claude-code

Installs into .claude/skills of the current project.

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What it does

Runs an autonomous breadth-first research loop that grows a wiki by fetching from web, arXiv, and GitHub, deduping claims against existing pages, and queuing follow-up topics until you hit a budget cap, depth limit, or convergence threshold. Each iteration costs you tokens, so the built-in budget enforcement (defaults to 50 cents) and kill-switch file are your safety nets. The convergence detector halts when three consecutive pages add less than 5% novel content, which works better than you'd expect for focused technical domains. Use it when you want a knowledge base that builds itself overnight or need to map out a research area without manually chasing every citation. Privacy guard blocks external fetchers if your wiki is marked private.

Files

Select a file.

Details

Repository
github.com/rohitg00/pro-workflow
Categories
Backend & APIs, Git & Pull Requests, Documentation, Data Science & ML, Automation & Workflows, Sales & Marketing
First seen
Jun 11, 2026

More from rohitg00/pro-workflow

All 35
  • Wiki Viewer125
  • Skill Optimizer112
  • Module Map
  • Token Efficiency196
  • Pro Workflow181
  • Wrap Up178
  • Deslop171
  • Learn Rule164
  • Session Handoff162
  • Context Optimizer161
  • Smart Commit160
  • Insights157
  • Compact Guard154
  • Replay Learnings154
  • Parallel Worktrees151
  • Llm Council146
  • Context Engineering142
  • Cost Tracker140
  • Orchestrate138
  • File Watcher137
  • Auto Setup136
  • Mcp Audit136
  • Thoroughness Scoring136
  • Safe Mode135

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