skill-transfer

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#skill-transfer

@0x_kaize: You can turn Opus 4.8 into Fable 5 for Free And you have 2 days before the window closes. July 7 is the last day Fable …

X AI KOLs Timeline · 2026-07-05 Cached

A thread explains that users can convert Opus 4.8 into Fable 5 for free before July 7, after which Fable 5 will cost credits. It provides tips for maximizing the remaining window, including having Fable 5 write a SKILL.md to transfer reasoning patterns to Opus 4.8.

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#skill-transfer

A Blind Visual Paradigm for Testing Skill Transfer in Small Models Without Fine-Tuning

Reddit r/LocalLLaMA · 2026-06-28

Proposes a blind visual paradigm using Three.js to test if procedural scaffolds extracted from large models can improve small model outputs without fine-tuning, validated by a blind judge model.

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#skill-transfer

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation

Hugging Face Daily Papers · 2026-06-22 Cached

Introduces AFTER, a benchmark of 382 enterprise tasks to evaluate procedural memory in LLM agents, showing that skill transfer improves performance across tasks, roles, and model backbones, with some skills generalizing broadly while others specialize.

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#skill-transfer

Beyond Domains: Reusing Web Skills via Transferable Interaction Patterns

arXiv cs.AI · 2026-06-17 Cached

This paper introduces SkillMigrator, an agent that learns reusable web skills as transferable interaction patterns (TIPs) and transfers them across websites by matching layout structure, reducing LLM action counts by 8-10% on benchmarks.

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#skill-transfer

@Xudong07452910: Open-source Tool Recommendation: Hivemind — Give All AI Coding Agents a Shared Brain, Automatically Extract Skills from Real Trajectories Anyone using several AI Coding Agents has likely experienced this: each tool's learning is locked in its own context, switching tools means…

X AI KOLs Timeline · 2026-06-14 Cached

Hivemind is an open-source tool that allows multiple AI Coding Agents (e.g., Claude Code, Codex, Cursor) to share a memory layer, automatically mining high-quality patterns from usage trajectories and converting them into reusable skill files, enabling cross-tool and cross-team skill propagation, significantly reducing token consumption and interaction rounds.

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#skill-transfer

LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents

Hugging Face Daily Papers · 2026-06-04 Cached

LatentSkill converts textual skills into LoRA adapters stored in weight space, reducing context overhead while maintaining modularity and composability for LLM agents, achieving significant improvements on ALFWorld and Search-QA benchmarks.

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