What it does. Reusable combination of agents plus code: deterministic Python ADW scripts own sequencing, retries, and acceptance; coding agents (Pi in v1) work inside bounded phases; typed JSON envelopes carry context between them; everything streams into SQLite for the polled visualizer. Agent proposes, code disposes.
- Read cookbooks/sssf_overview.md — the system map. 2.
ls adws/adw_*.py
and read each file's Phases:
docstring line. 3. Print the ADWs as a table — name, the chain, one line on when to reach for it — and wait for the engineer's request.
Highlights
- It spends the context the real task needs, before you know what the task is.
- It is stale on arrival. State printed before the request describes a system that the very next run changes.
- Never implement, plan, or test in an agent's place — launch the ADW and watch it.
- Never edit files inside
adws/adw_data/sessions/
— that is the run record.
- Report phase status plainly: name, owner, status, error if any.
When to use it. Super Simple Software Factory — deploy and operate repeatable agents+code workflows (ADWs) in any codebase. Use when the user says /sssf install, wants to create/run/update an ADW, manage the agent…
Install
npx skills add disler/super-simple-software-factory --skill sssf
Or copy the skill folder manually:
git clone https://github.com/disler/super-simple-software-factory.git
cp -r super-simple-software-factory/.claude/skills/sssf/ ~/.claude/skills/sssf
Source: disler/super-simple-software-factory — 791 stars, MIT, last pushed 2026-08-04.
