cognitive-compile
Deep learning compile framework — transforms raw information into actionable judgment. Use when the user wants to deeply understand a topic, not just capture it.
git clone --depth 1 https://github.com/Mark393295827/third-brain-v5-skills /tmp/cognitive-compile && cp -r /tmp/cognitive-compile/skills/cognitive-compile ~/.claude/skills/cognitive-compileSKILL.md
# Cognitive Compile — Deep Learning Framework Transform raw information into structured understanding and actionable judgment through 8 explicit sections. ## Usage Template **Prompt** ```text Use cognitive-compile on this topic. Move from question to facts, concepts, pattern recognition, conflict detection, hypothesis generation, decision support, and action. ``` **Use Case** - Understanding a complex topic deeply enough to make a decision or produce a reusable explanation. **Expected Result** - The agent produces a structured reasoning artifact with conflicts, judgment, and next actions. **Output Example** - An 8-section compile: question, facts, concepts, pattern recognition, conflict detection, hypothesis generation, decision support, and action. **Verification Case** - The output separates facts from interpretation and names unresolved assumptions or evidence gaps. **Verified Effect** - Raw information becomes a decision-ready understanding with explicit assumptions, conflicts, and actions. ## Success Metrics - Artifact contains all 8 sections and separates facts, interpretations, assumptions, conflicts, and actions. - At least one decision-relevant judgment and one evidence gap are explicit. - Next action is small enough to execute or test in the next work session. ## When to Use - User wants to "understand X deeply" - User asks for analysis, synthesis, or judgment - After ingesting an important source, before filing it away - User says "help me think through this" ## The 8 Sections ### 1. What is the original question? Define the core question that makes this exploration worthwhile. ``` Why does this matter? What am I trying to understand? What decision will this inform? ``` ### 2. What are the key facts? Extract verifiable claims from the source. Separate observation from interpretation. - List factual claims with source references - Note confidence level for each - Distinguish: firsthand observation vs secondhand report vs inference ### 3. What concepts/entities are involved? Map the intellectual terrain. - Link to existing wiki concepts and entities - Identify relationships between them - Note: is this connecting previously unconnected ideas? ### 4. Pattern Recognition — what patterns does this resemble? Connect new knowledge to existing mental models. - What known pattern does this fit? - What analogy from a different domain applies? - Does this confirm or challenge existing models in the wiki? ### 5. Conflict Detection — what conflicts or uncertainties exist? Surface tensions, contradictions, and gaps. - Does this source contradict existing wiki pages? → Flag with `> [!warning] Contradiction` - What is the key uncertainty? - What information is missing? ### 6. Hypothesis Generation — what can I test? Turn insight into testable propositions. ``` If X is true, then Y should happen when I try Z. The cheapest way to test this is... The evidence that would falsify this is... ``` ### 7. Decision Support — what judgment can I form? Form a tentative thesis — not final truth, but best current understanding. ``` On balance, the evidence suggests that... The key insight that changes my mental model is... I'm most uncertain about... This changes my next decision by... ``` ### 8. What can I act on? Convert understanding into action. - One thing to do differently - One thing to investigate further - One thing to write to the wiki - One behavior experiment to run, if applicable - One creativity experiment to run, if applicable ## Output Save the compile result to the wiki as a concept page or atomic note with these frontmatter fields: ```yaml --- type: concept | atomic-note knowledge_stage: captured | cross-checked evidence_level: single-source | multi-source --- ``` ## Quality Gates - [ ] All 8 sections completed - [ ] Pattern Recognition is explicit - [ ] Conflict Detection is explicit - [ ] Hypothesis Generation is explicit - [ ] Decision Support is explicit - [ ] Step 3: linked to ≥2 existing wiki pages - [ ] Step 5: contradictions flagged if any - [ ] Final action list includes at least 1 concrete action - [ ] Result saved to wiki - [ ] Log updated
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