Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Core Refinery takes 3 or more sources and identifies the principles that appear across all of them. It classifies ideas by how many sources they appear in: invariants (N≥3), domain-specific (N=2), or noise (N=1). Principles appearing in 3+ independent sources become Golden Master candidates.
The N-count threshold distinguishes genuine signal (3+ independent sources) from coincidence (2 sources), giving synthesis results a confidence level that simple summarization tools don't provide.
When to use it
- Finding what multiple books on a topic all agree on
- Consolidating recurring themes from several research papers
- Identifying shared principles across team style guides or decision docs
- Distilling common ground from multiple interview transcripts
- Checking which ideas from different frameworks actually overlap
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'What's the core across these 4 extractions from books on writing?'
- 1Collects all principles from the 4 provided sources
- 2Identifies threads — ideas that appear across multiple sources
- 3Tests whether the same meaning persists, not just the same words
- 4Classifies each principle as invariant (N≥3), domain-specific (N=2), or noise (N=1)
- 5Outputs Golden Master candidates with N-counts and confidence levels
2 Golden Master candidates (N≥3), 5 domain-specific principles (N=2), and 8 filtered as noise — with compression ratio and suggested next steps