pos:/// projects/ skippy-ai

Skippy AI

active / building

A meta-harness for AI coding agents. Not another coding agent, and not a wrapper around one - the layer above them that decides what to build, hands each piece to the right agent, checks the result against a contract, and keeps a durable record of what actually happened.

Skippy AI projects board with research, active, review, and archived columns
Status
Active / Building
Started
2026
Stack
Python / TS
Type
Local app
AI role
The subject
License
Open source

the idea

Coding agents are good at doing a task. They are bad at knowing which task, keeping a week-long goal in view, noticing they've drifted, and telling you honestly whether the thing is done. Skippy owns that outer loop.

A conversation becomes a brief. A brief becomes goals. Goals become features, features become tasks, and every task is judged against acceptance criteria it was handed up front. Understand, plan, build, verify - with a human pulled in only when a real decision is needed.

how it works

  • Understand → plan → build → verify. A durable hierarchy - project, feature, task - where every unit carries the acceptance criteria it will be measured against.
  • Maker-checker on shared ground truth. One agent changes the files; a separate judge reads those same files and rules PASS / FAIL / BLOCKED, citing evidence. A build that can't be confirmed completes with an Unverified label instead of quietly passing.
  • Harness-agnostic. Agents are configured per project - a CLI harness like Claude Code or Codex, or a LiteLLM route - and Skippy picks the right one per task. It manages them; it doesn't try to be them.
  • Full observability. Every prompt, response, provider, token count, and state transition is captured. The AI isn't a black box - it's a coordinated workforce with an auditable record.
  • It runs itself. Wedged tasks self-heal, provider rate limits pause and auto-resume on a backoff, and interrupted verifications re-verify instead of redoing finished work.
why I'm building it

I argued in We've Been Here Before that agentic AI is rediscovering the hard lessons of distributed systems - tracing, verification, circuit breakers, observability. Skippy is me putting my money where my mouth is: a harness that builds those in from the start. It's the project I'll be writing the most about.

explore the interface

A closer look at the surfaces Skippy runs on. Click any screen to open it full size.

The name is a tip of the hat to Skippy the Magnificent - the wildly overconfident (and secretly indispensable) ancient AI from Craig Alanson's Expeditionary Force series. My Skippy is considerably more humble and does not, as far as I know, insult anyone. Full credit to Alanson for the character and the inspiration.