deep-planning-skillA high-latency System 2 planning routine for complex system design and research. By forcing structural abstraction, it deliberately shifts the model out of its local, high-probability semantic latent space—breaking conventional paradigm fixation. It spawns an isolated, blank-context sub-agent to engineer lateral cross-domain solutions, stress-tests the logic via in-domain patch loops, and synthesizes a metaphor-washed, highly optimized execution blueprint tailored for downstream worker agents.
Install via ClawdBot CLI:
clawdbot install bobertneek/deep-planning-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.ai/user/bobertneekAudited Jun 5, 2026 · audit v1.0
Usage Guide
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Scored Jun 5, 2026
AI tutoring and education powered by CellCog. Study guides, exam prep, coding tutorials, language learning, math help, science explanations, practice problems — every subject, every level. Explains concepts via diagrams, analogies, worked examples, and interactive lessons.
Generate study materials. Use when creating study plans, quizzes, flashcards, tracking progress, or scheduling review sessions.
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系统化知识内化与能力自评引擎。当需要深入学习新领域、建立专家级知识库、并明确知道自己的掌握程度时使用。核心功能包括系统性知识内化引擎和基于知识图谱的能力评级器。触发词：深入学习并评估掌握水平、建立专家级知识库、系统研究并告诉我能做什么。