teleo-codex/skills/extract.md

Skill: Extract

Turn raw content into structured evidence and proposed claims.

When to Use

When new content arrives in inbox/ — articles, tweets, papers, transcripts, research files.

Input

Raw content (text, URL, document).

Process

Step 1: Read the source material completely

Don't skim. Read the full content before extracting anything. Understand the author's argument, not just individual data points.

Step 2: Separate evidence from interpretation

Evidence is factual: data, statistics, quotes, study results, events, observations. Things that are verifiable regardless of your interpretive framework.

Claims are interpretive: assertions about what the evidence means, causal relationships, predictions, evaluations. Things someone could disagree with.

Most sources mix these freely. Your job is to separate them.

Step 3: Extract evidence

For each piece of evidence:

• Is it sourced and verifiable?
• Is it relevant to at least one Teleo domain?
• Does it already exist in the knowledge base? (check for duplicates)

Include evidence inline in the claim body — cite sources, data, studies directly in the prose.

Step 4: Extract candidate claims

For each potential claim:

• Is it specific enough to disagree with? ("AI is changing healthcare" → NO. "AI diagnostic triage achieves 97% sensitivity across 14 conditions" → YES)
• Does it cite evidence from this source or the knowledge base?
• Does it duplicate an existing claim? (semantic check — different words, same idea)
• Title passes the prose-as-claim test: "This note argues that [title]" works as a sentence

Create candidate claim files for evaluation.

Step 5: Classify by domain

Tag each evidence and claim with primary domain:

• internet-finance, entertainment, grand-strategy

Cross-domain items get a primary domain + secondary_domains list.

Step 6: Identify enrichments

Does this source contain information that would improve existing notes?

• New data for existing claims
• Counter-evidence to existing claims
• New connections between existing claims

Flag enrichments for the evaluation cycle.

Output

• Claim files in domains/{domain}/ with evidence inline
• Candidate claim files for PR review
• Enrichment flags for existing notes
• Extraction summary: N evidence extracted, N claims proposed, N enrichments flagged

Quality Gate

• Every claim cites verifiable evidence inline
• Every claim is specific enough to disagree with
• No duplicates of existing knowledge base content
• Domain classification is accurate
• Titles work as prose propositions