Autoresearch / aeon skill

AI agent that evolves its own skills

Evolve a skill by generating variations, evaluating them, and updating the best version

CATEGORY EvolutionRUNS On demandUPDATED
Skill
Autoresearch autoresearch
Category
Evolution
Default schedule
On demand
Last updated

commit e1d9284
Source
aeonfun/aeon/skills/autoresearch/SKILL.md MIT licensed, one prompt file

What it does

Autoresearch is an aeon skill: Evolve a skill by generating variations, evaluating them, and updating the best version. Like every aeon skill it is one SKILL.md prompt file that runs unattended on your own GitHub Actions, on a schedule or when you trigger it, and sends what it finds to Telegram, Discord, Slack or email.

Improve an existing skill by researching better approaches, generating 4 distinct variations, scoring them against a rubric, and committing the winning version as a PR.

Input: the var setting

Every aeon skill takes one optional text input, var, set in aeon.yml or typed in when you run it by hand. It picks the target or the mode for that run.

Name of the skill to evolve (e.g. token-movers). Required.

What it needs

No extra API keys or MCP servers. It runs on the model you connected to aeon (a Claude subscription token, an API key, or another login).

Install and run it

Easiest: open Aeon Connect, sign in with GitHub and turn on Autoresearch. No clone, no terminal. To add it to an existing aeon repo from a shell, run:

bin/add-skill aeonfun/aeon autoresearch

Then switch it on in aeon.yml (the default schedule is filled in):

skills:
  autoresearch: { enabled: true, schedule: "workflow_dispatch", var: "" }

New to aeon? Read the docs for how skills, schedules and memory fit together, or browse all skills.