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Microsoft AzureKnown publisherAzure/azure-dev/.github/skills/sensei/SKILL.md

sensei

Skill573 starsChanged 8 months agoMITView on GitHub

**WORKFLOW SKILL** — Evaluates and improves agent skill quality in `.github/skills/` using waza. Scores skill compliance (frontmatter, triggers, anti-triggers, eval coverage), suggests improvements, runs eval suites, and iterates until target quality is reached.

  • Installs packages

6 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    All target skills have been checked and optionally improved

    line 40

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

sensei

Evaluates and improves agent skill quality using waza.

Overview

Sensei automates the evaluation and improvement of agent skills in this repository. It uses waza to score compliance, run eval suites, and iteratively improve skills until they meet quality targets.

Prerequisites

  • waza: go install github.com/microsoft/waza/cmd/waza@latest or azd ext install microsoft.azd.waza

{{ references/workflow.md }}

Exit Criteria

  • All target skills have been checked and optionally improved
  • Compliance scores and eval results are reported
  • Changes saved to disk (user decides when to commit)

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free