Tagged articles

skill generation

4 articles · Page 1 of 1

Sep 3, 2026 · Artificial Intelligence

book-to-skill: Compile Books into On-Demand Agent Skills, Cut Tokens 24-51x

The open-source book-to-skill project (12.7K GitHub stars) pre-compiles books from PDF, EPUB, DOCX, and other formats into structured, chapter-loadable Skills for AI agents, reducing context tokens by 24-51x compared to full-book loading and enabling reusable knowledge workflows for repeatedly referenced technical materials.

AI agentsKnowledge ManagementPDF processing

0 likes · 10 min read

book-to-skill: Compile Books into On-Demand Agent Skills, Cut Tokens 24-51x

Network Intelligence Research Center (NIRC)

May 28, 2026 · Artificial Intelligence

Hermes Agent: An Open‑Source AI Agent That Grows with Your Projects

Hermes Agent, an open‑source AI assistant from Nous Research, runs on servers, retains cross‑session memory, auto‑generates reusable skills, supports multiple chat platforms, and offers self‑hosting, but requires technical expertise and careful security management.

AI AgentCross-Session MemoryHermes Agent

0 likes · 6 min read

Hermes Agent: An Open‑Source AI Agent That Grows with Your Projects

Alibaba Cloud Developer

Apr 24, 2026 · Artificial Intelligence

How Hermes Agent Achieves Self‑Evolution: A Deep Dive into Prompt, Context, and Harness Design

This article provides a detailed technical analysis of Hermes Agent, explaining how its dynamic skill generation and reinforcement‑learning loop enable true self‑evolution, and examines the prompt engineering, context compression, memory architecture, harness mechanisms, error handling, and plugin ecosystem that differentiate it from OpenClaw and Claude Code.

Agent FrameworkContext CompressionHermes Agent

0 likes · 41 min read

How Hermes Agent Achieves Self‑Evolution: A Deep Dive into Prompt, Context, and Harness Design

Bighead's Algorithm Notes

Mar 19, 2026 · Artificial Intelligence

How ASDA Generates Structured Financial Reasoning Skills for LLMs Without Fine‑Tuning

The ASDA framework automatically creates modular, version‑controlled financial‑reasoning skill files by iteratively analyzing student model failures, clustering errors, and injecting structured guidance, achieving up to a 17.33‑point boost on arithmetic tasks and a 5.95‑point boost on non‑arithmetic tasks in the FAMMA benchmark, far surpassing prior zero‑training methods such as GEPA and ACE.

ASDALLM adaptationbenchmark FAMMA

0 likes · 22 min read

How ASDA Generates Structured Financial Reasoning Skills for LLMs Without Fine‑Tuning