Distill artist/theorist narrative principles into formal, implementable algorithmic frameworks. Use when asked to extract, formalize, or systematize narrative techniques from any storytelling source—filmmakers, writers, theorists, game designers, showrunners. Triggers on requests involving narrative principle extraction, story structure analysis, craft methodology formalization, or creating implementable storytelling protocols.
Resources
1Install
npx skillscat add organvm-iv-taxis/a-i-skills/narratological-algorithms Install via the SkillsCat registry.
Narratological Algorithm Distillation
Transform narrative principles from artists, theorists, and practitioners into formal, implementable algorithmic frameworks.
Workflow
1. Source Classification
Identify source type to calibrate extraction approach:
| Type | Characteristics | Extraction Focus |
|---|---|---|
| Theorist | Prescriptive texts (McKee, Aristotle) | Direct principle extraction |
| Practitioner | Interviews, commentary, production docs | Reverse-engineering from stated methods |
| Classical | Ancient/foundational texts (Poetics, Natyasastra) | Translation of archaic terminology |
| Analyst | Secondary analysis of creator's work | Validation against primary sources |
2. Primary Source Prioritization
Always prioritize primary sources over secondary analysis:
- Direct quotes from the creator
- Production documents, interviews, lectures
- The creator's own articulated methodology
- Documented working processes
When using secondary sources, validate principles against primary evidence. Flag where principles are inferred vs. directly stated.
3. Principle Extraction Protocol
For each identified principle:
EXTRACT:
1. Locate source statement (direct quote when available)
2. Identify underlying mechanism (why it works)
3. Formulate as rule or constraint
4. Determine scope (universal vs. context-specific)
5. Map to existing narrative theory where applicable4. Document Structure
Generate output following the canonical structure. See references/output-template.md for the full template.
Required sections:
- Meta-Principles (Axioms)
- Structural Hierarchy
- Core Algorithms/Protocols
- Diagnostic Questions/Tests
- Quick Reference Card
Optional sections (as warranted):
- Episode/Scene Templates
- Theoretical Correspondence Tables
- Source Cross-Reference Appendix
5. Formalization Patterns
Convert principles to implementable forms:
| Source Form | Target Form |
|---|---|
| Conceptual statement | Constraint rule |
| Process description | Pseudocode function |
| Best practice | Validity test |
| Comparison | Decision table |
| Taxonomy | Classification tree |
See references/formalization-patterns.md for detailed examples.
6. Axiom Identification
Identify 3-7 meta-principles that underpin the creator's entire approach:
AXIOM_CRITERIA:
- Foundational (other principles derive from it)
- Non-negotiable in the creator's worldview
- Distinguishes this approach from alternatives
- Stated explicitly or demonstrated consistentlyFormat axioms with unique identifiers: [CREATOR_INITIALS]-A[N]
7. Validation Checks
Before finalizing, verify:
- All principles traceable to source material
- Pseudocode is syntactically coherent
- Decision tables have complete coverage
- Quick reference captures essential operations
- Diagnostic questions are answerable yes/no
- Theoretical correspondences are accurate
8. Cross-Medium Adaptation Notes
When source material is medium-specific, include adaptation guidance for:
- Film → Television (serialization, episode structure)
- Literature → Interactive (agency, branching)
- Single creator → Collaborative (writers' room dynamics)
- Western → Non-Western theoretical traditions
Reference Files
- references/output-template.md — Full document structure template
- references/formalization-patterns.md — Examples of converting prose to algorithms
- references/theoretical-correspondences.md — Mapping table across narrative traditions