48h-Expert-Methodology

A meta-learning method compressing deep expertise into 48 hours by extracting core mental models, expert debates, and critical assessment questions for mastery.

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 local schema.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 from schema.json SHALL trigger a mandatory re-formatting cycle.
• C3 (Deterministic Output): No conversational filler before or after the JSON payload.