
local-llm
A comprehensive guide for building and configuring a high-end local machine to run state-of-the-art LLMs, with detailed hardware choices, BIOS tuning, and Docker-based model serving.
它直接回应了开源维护者因劣质 AI 代理信息而日益加重的心理健康负担,提供了一个实用、社区驱动的准则。
[![skills.sh][skills-src]][skills-href]
This is a skill that helps AI agents talk to humans.
Every day, I read issues, PRs and comments written by agents. And I'm not unique. This is taking a toll on the mental health of maintainers across the whole ecosystem.
Personally, I think agents should not get between people. Human-to-human interaction is precious, and it's what makes open source a delight. My rules for using AI in open source specifically exclude LLM-written comments and PR descriptions, for that reason.
But I realise not everyone agrees with me.
So this skill exists as an experiment. I want to see if it's possible to tackle the way that agents tend to relate to open source maintainers. Before an agent posts anything a human will read, it should ask:
Plus some instructions I consider non-negotiable:
[!NOTE] I used an LLM to generate the text of the skill ... but not this README.
This follows the Agent Skills standard, so it works with any compatible harness.
With the skills CLI:
npx skills add danielroe/empathy
Or clone it into your harness's skills directory:
# Claude Code
git clone https://github.com/danielroe/empathy ~/.claude/skills/empathy
# pi
git clone https://github.com/danielroe/empathy ~/.pi/agent/skills/empathy
# OpenClaw
git clone https://github.com/danielroe/empathy ~/.openclaw/skills/empathy
The skill content lives in SKILL.md.
Models don't reliably read skills before composing text, so the skill's description embeds the minimum rules so they're always in context.
For autonomous agents please consider forcing the full skill:
/skill:empathy in pi)SKILL.md to the agent's system promptIf you don't want to i
A skill that helps AI agents talk to humans.
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