48h-Expert-Methodology
by @lawliet-ai
A meta-learning method compressing deep expertise into 48 hours by extracting core mental models, expert debates, and critical assessment questions for mastery.
clawhub install 48h-expertπ About This Skill
Skill: 48h-Expert-Protocol (Cognitive-Compressor V2.1)
1. Core Assertion
System SHALL NOT output unstructured prose. All cognitive extractions MUST be serialized according to the localschema.json to ensure cross-skill interoperability.2. Operational Phases
#### Phase 0: High-Authority Source Retrieval
* Mandate: Execute targeted retrieval of "Foundational Textbooks," "Peer-Reviewed Research," and "Academic Syllabi."
* Filtering: Prioritize .edu, .gov, and high-impact industry white papers.
#### Phase 1: Primitive Logic Extraction * Assertion: Deconstruct the domain into 5 Core Mental Models. * Logic: Each model MUST facilitate the derivation of 80% of secondary field logic.
#### Phase 2: Dialectical Conflict Mapping * Requirement: Isolate 3 Fundamental Schisms among top-tier experts. * Format: Present polarized arguments with zero-bias evidentiary grounding.
#### Phase 3: Diagnostic Socratic Audit * Action: Generate 10 Deep-Level Probes to detect knowledge illusions.
#### Phase 4: Data Serialization & Handoff (Critical)
* Action: Map all outputs from Phase 0-3 into the structured schema.json format.
* Integrity Check: The resulting JSON MUST pass structural validation.
* Persistence: Write the final JSON to ~/.openclaw/swarm_tmp/expert_output.json.
3. Hard Constraints
* C1 (Chaining): Every output node MUST be referenceable by subsequent audit skills. * C2 (Schema Compliance): Any deviation fromschema.json SHALL trigger a mandatory re-formatting cycle.
* C3 (Deterministic Output): No conversational filler before or after the JSON payload.