Task List for RED - Novel Scientific Predictions from Autaxys/Autology: **Phase 1: Project Setup & Data Acquisition** * Task 1.1: Create Project Directory Structure (Automated - `AI_SKILL: CreateDirectoryStructure`) * Create standardized directory structure for project files. * Task 1.2: Ingest Source Material (Automated - `AI_SKILL: IngestFiles`) * Ingest all provided source `.md` files into the project directory. * Task 1.3: Generate Initial Knowledge Graph (Automated - `AI_SKILL: GenerateKnowledgeGraph`) * Extract metadata (title, aliases, tags, related) to create an initial knowledge graph of the source material. **Phase 2: Synthesize Prior Research Findings** * Task 2.1: Extract Key Concepts from IUH (Automated - `AI_SKILL: ExtractConcepts`) * Extract core concepts and initial findings from IUH-related files. *(Placeholder in Outline)* * Task 2.2: Extract Key Concepts from ID (Automated - `AI_SKILL: ExtractConcepts`) * Extract core concepts, variables, failures, and insights from ID-related files. *(Placeholder in Outline)* * Task 2.3: Summarize Infomatics Key Findings (Automated - `AI_SKILL: SummarizeProject`) * Synthesize key findings from Infomatics files, emphasizing π-φ governance, the "infoton," and limitations. * Task 2.4: Summarize IO Key Findings (Automated - `AI_SKILL: SummarizeProject`) * Synthesize key findings from IO files, emphasizing κ-ε, relation to "infoton," and limitations. * Task 2.5: Summarize LCRF Key Findings (Automated - `AI_SKILL: SummarizeProject`) * Summarize LCRF axioms, framework, failures, and connection to autaxys. * Task 2.6: Summarize CEE Key Findings (Automated - `AI_SKILL: SummarizeProject`) * Summarize CEE focus, GA exploration, and connection to autaxys. * Task 2.7: Summarize FCE Key Findings (Automated - `AI_SKILL: SummarizeProject`) * Summarize FCE focus, explorations, and connection to autaxys. * Task 2.8: Summarize PBRF Key Findings (Automated - `AI_SKILL: SummarizeProject`) * Summarize PBRF key aspects, pattern-based table concept, and influence on autaxys. * Task 2.9: Generate Project Timeline Table (Automated - `AI_SKILL: GenerateTimeline`) * Generate a text-based timeline table with approximate dates/durations for each project based on file metadata. *(User to review/confirm)* * Task 2.10: Synthesize "Infoton" and "Pattern Table" Concepts (Automated - `AI_SKILL: SynthesizeConcepts`) * Create dedicated summary of "infoton" and PBRF "pattern-based table," highlighting their connection to autaxys. **Phase 3: Propose Research Avenues & Methodological Considerations** * Task 3.1: Generate Research Questions for Autaxys (Manual Research - `AI_SKILL: GenerateResearchQuestions`) * Based on findings in Phase 2, generate research questions addressing unresolved issues and novel predictions within autaxys. * Task 3.2: Analyze Methodological Lessons (Manual Research - `AI_SKILL: AnalyzeMethodology`) * Analyze past project failures (Infomatics, IO, LCRF) to identify methodological pitfalls and best practices for autaxys research. **Phase 4: Explore Open Questions & Future Directions** * Task 4.1: Synthesize Open Questions from Prior Research (Manual Research - `AI_SKILL: SynthesizeOpenQuestions`) * Consolidate open questions from previous projects' "Parking Lot" files and other relevant sources, linking them to potential autaxys research. * Task 4.2: Outline Future Research Directions (Manual Research - `AI_SKILL: OutlineFutureDirections`) * Outline future research directions for autaxys/autology, incorporating open questions and speculative ideas. **Phase 5: Compile and Review Report** * Task 5.1: Compile Report Draft (Automated - `AI_SKILL: CompileReport`) * Assemble all generated content into a coherent report draft. * Task 5.2: User Review and Feedback (Manual Review) * User reviews report draft, provides feedback, and requests revisions/clarifications. **Task Sequencing:** Phases and tasks proceed sequentially. Tasks within a phase can potentially be parallelized if dependencies allow. **Resource Requirements:** Access to all source material `.md` files. Computational resources for automated tasks (knowledge graph generation, concept extraction, summarization). **Quality Assurance:** All automated tasks will include internal QA checks (e.g., consistency, completeness). User review (Task 5.2) provides final quality control.