Skill Detail

Generate and evaluate agent skills from traces before shipping them into repeatable production workflows with UPskill

Turn successful traces into reusable skills, then benchmark those skills across models before you trust them in production.

Code Quality & ReviewMulti-Framework
Code Quality & Review Multi-Framework Security Reviewed
โญ 477 GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill generate-and-evaluate-agent-skills-from-traces-before-shipping-them-into-repeatable-production-workflows-with-upskill Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
uv or Python environment, upskill CLI
Install & setup
uv pip install upskill
# or run without global install
uvx upskill
Author
Hugging Face
Publisher
Open Source
Last updated
Apr 16, 2026
Quick brief

UPskill is publishable because the user-facing job is specific: distill a repeatable agent skill from successful traces, evaluate it, and compare model performance before rollout. Use it when a team keeps solving the same class of task and wants to convert that pattern into a tested reusable skill instead of relying on prompt memory or ad hoc coaching.

How it works

What this skill actually does

Invoke it instead of using a model or framework normally when the operator needs a generate-then-evaluate loop around skill creation itself. The scope boundary is clear: skill synthesis, evaluation, and benchmarking from traces. It is not a generic model framework listing and not just a broad eval product card.