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Bobby-cell-commits
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discover

Classify new Open Brain thoughts into EVOLVED, NEW, or STALE clusters.

8|1|Updated Apr 3, 2026
Search Tags:#automation#research#tracking#clustering#discover#thoughts#open-brain
One-click install
npx skills add https://github.com/Bobby-cell-commits/open-brain-server --skill discover-bobby-cell-commits
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: discover
Source: https://github.com/Bobby-cell-commits/open-brain-server/tree/main/.claude/skills/discover
Command: npx skills add https://github.com/Bobby-cell-commits/open-brain-server --skill discover-bobby-cell-commits

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Incremental discovery and research on recent Open Brain thoughts. Reads state from previous runs to pull only new thoughts, classifies them against previous clusters (EVOLVED/NEW/STALE), correlates with TRACKER.md priorities, and dispatches parallel research agents for full runs or synthesizes inline for light passes. Produces a report that builds on the previous one.

Core Features & Use Cases

  • Incremental thought discovery: fetches only new items since the last run and classifies clusters to maintain continuity.
  • Tracker-aware research: aligns findings with TRACKER.md priorities to guide actions.
  • Multi-phase orchestration: coordinates state pull, parsing, clustering, scoring, and synthesis across full and light runs.

Quick Start

Run the discover command to generate today’s Open Brain discovery report from the latest thoughts.

Frequently Asked Questions about discover

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track and classify new thoughts from my Open Brain notes incrementally?▼

Incremental thought tracking reads state from previous runs to fetch only new Open Brain notes, then classifies clusters as EVOLVED, NEW, or STALE to drive targeted research and reporting.

How does tracker-aware research align new discoveries with project priorities?▼

Tracker-aware research correlates newly discovered thoughts against TRACKER.md priorities, ensuring synthesized findings guide actions and align with ongoing project goals.

What is the difference between full and light discovery runs?▼

Full discovery runs dispatch parallel research agents for deep analysis, while light runs synthesize findings inline, allowing flexible orchestration based on available processing resources.

Do I need specific environment variables to run the multi-phase discovery workflow?▼

Yes, the discovery workflow requires environment variables for MCP and OpenRouter tools, plus access to DISCOVERIES_DIR, TRACKER.md, and execution scripts to orchestrate phases.

What limitations exist when clustering new thoughts against previous discovery states?▼

Clustering limitations depend on state continuity; missing or corrupted previous state files can disrupt the incremental delta, affecting the accurate classification of EVOLVED and STALE thoughts.

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