distilly
Framework to define reusable AI agent skills in Python.
Worth a timeboxed spike before you bet on it.
Teams building internal chatbots or automation agents with limited ML expertise.
hand‑coded prompt scripts or ad‑hoc bot logic.
immature ecosystem, limited docs, few contributors; integration overhead and runtime size may bloat services.
Clone repo, run the example skill, and expose it via a simple Flask endpoint to test integration.
The numbers
Maintainers describe it as: “Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill（原同事 Skill）.”
distilly, in short
- Should a small team use distilly?
- Pilot it. Worth a timeboxed spike before you bet on it. Teams building internal chatbots or automation agents with limited ML expertise.
- What does distilly actually do?
- Framework to define reusable AI agent skills in Python.
- What does distilly replace?
- hand‑coded prompt scripts or ad‑hoc bot logic.
- What is the downside of distilly?
- immature ecosystem, limited docs, few contributors; integration overhead and runtime size may bloat services.
- Can distilly be used in a commercial product?
- Its licence is MIT, which is permissive and generally fine for commercial use. Confirm against the LICENSE file in the repository.
Weighed against
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