惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

J
Java Code Geeks
Martin Fowler
Martin Fowler
B
Blog RSS Feed
D
DataBreaches.Net
L
LangChain Blog
月光博客
月光博客
S
SegmentFault 最新的问题
阮一峰的网络日志
阮一峰的网络日志
V
Visual Studio Blog
美团技术团队
Jina AI
Jina AI
博客园 - 司徒正美
雷峰网
雷峰网
Last Week in AI
Last Week in AI
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
IT之家
IT之家
博客园 - 三生石上(FineUI控件)
WordPress大学
WordPress大学
小众软件
小众软件
罗磊的独立博客
博客园_首页
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
A
About on SuperTechFans
Engineering at Meta
Engineering at Meta

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Hermes Agent Skills — Self-Evolving, Persona-Aware Skill ...
Ow1onp · 2026-06-20 · via DEV Community

Ow1onp

Body:

Hey everyone 👋

I've been building hermes-agent-skills — a production-grade skill collection for Hermes Agent that does three things no other skill pack does:

1. Self-Evolving Skills

Skills aren't static YAML. The built-in EvolutionEngine tracks 5 health dimensions (usage frequency, success rate, user corrections, freshness, command validity), assigns a health score, and tells you which skills are rotting. Think of it as npm audit for your AI assistant's capabilities.

2. SOUL.md Persona Awareness

Drop a SOUL.md in your Hermes config — naming conventions, comment density, architecture preferences, commit style — and every skill that touches code output adapts to it. hermes-skill soul generate bootstraps one in one command. The persona-aware-coding skill reads it at runtime so your agent writes code that actually looks like you wrote it.

3. CLI Toolchain

hermes-skill create my-workflow     # scaffold a standards-compliant SKILL.md
hermes-skill validate skills/       # validate against the Agent Skills Standard
hermes-skill list skills/ -f json   # enumerate with health metadata
hermes-skill soul generate          # bootstrap a persona file

What's in the box (v1.1.0):
| Skill | Phase | Hermes-only Feature |
|---|---|---|
| requirement-analyzer | Define | Persistent memory across sessions |
| spec-driven-dev | Spec | /skills chain forming workflows |
| test-driven-dev | Build | delegate_task parallel test execution |
| debugger-coordinator | Verify | browser + terminal + vision tri-tool |
| code-quality-guardian | Review | patch auto-fix + /curator tracking |
| cicd-orchestrator | Ship | cronjob scheduling + webhook triggers |
| skill-curator | Evolve | Direct /curator integration |
| persona-aware-coding | Identity | Native SOUL.md persona system |

Why this is different: Most agent skill collections are portable but shallow — they can't use any platform's unique superpowers. These skills go deep on Hermes specifically: slash commands, delegate_task, persistent memory, vision+browser+terminal coordination, cron jobs, webhooks. But the format follows the open Agent Skills Standard — anyone can fork, remix, or build their own.

Install:

pip install hermes-agent-skills
hermes skills tap add Ow1onp/hermes-agent-skills

Repo: https://github.com/Ow1onp/hermes-agent-skills
46 tests, MIT license, Python 3.10+.

Would love feedback — especially from people who've tried building their own skills. What's the friction point you hit first?