Practitioner-judgment skill for Claude Code, Codex, and AI agents under ambiguity, trade-offs, and incomplete information.
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Updated
Apr 10, 2026 - Python
Practitioner-judgment skill for Claude Code, Codex, and AI agents under ambiguity, trade-offs, and incomplete information.
Frontend design cognitive engine grounded in Michael Polanyi's tacit knowledge framework. A Claude Code Skill that surfaces expert-level visual judgment.
A cognitive protocol for AI agents. Makes any LLM-based agent think like an experienced practitioner. Works with Claude Code, Codex, Gemini, and any agent framework.
Obtiene el conocimiento tácito generado al documentar los elementos de trabajo en Azure DevOps dentro de una organización y lo transforma en conocimiento explícito
A cognitive base that makes AI agents reason from verified foundations instead of inherited conventions. 让 AI agent 从第一性原理出发推理,而不是继承惯例。
The Polanyi stack for AI agents. Convert tacit knowledge, Polanyis paradox, and expert judgment into reusable agents and skills.
🦅 Decision Guidance Agent Skill — When data runs out, wisdom begins. Built on Kierkegaard's Leap of Faith & Polanyi's Tacit Knowledge.
The team developed an AI-enabled risk management solution that integrates SME heuristics with automated evaluation to improve the quality and actionability of project risk registers. The approach combines Microsoft Power Platform components with LLM-driven analysis to identify weak risks and mitigations, prioritise critical issues, and support c...
The team built Jim‑E, an interactive AI‑assisted risk review tool that applies SME heuristics to project risk entries. Using a lightweight Streamlit interface and encoded heuristic rules, the solution helps users identify weak risks and mitigations, capture structured feedback, and generate clear audit‑ready reports.
hack26 is a collaborative hackathon-style event focused on rapidly exploring and prototyping practical data and AI solutions against a defined set of challenges. Teams work within clear challenge boundaries to test ideas, build proof‑of‑concepts and share learning in a short, intensive format.
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