SkillHub

48h-expert

v1.0.1

萃取核心思维模型、专家辩论与关键评估问题,48小时压缩掌握深度专业知识的元学习方法。

Sourced from ClawHub, Authored by Lawliet-ai

Installation

Please help me install the skill `48h-expert` from SkillHub official store. npx skills add Lawliet-ai/48h-expert

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.