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diff-upstream Skill

AI Agent SkillJavaOpen source

Regenerate the local emitter and diff the generated code against the upstream baseline checked into autorest.python. Use this skill when the user wants to see how their emitter changes affect generated code compared to what's currently in production, says things like "diff upstream", "compare to baseline", "what change Published by microsoft in typespec.

What is diff-upstream Skill?

Regenerate the local emitter and diff the generated code against the upstream baseline checked into autorest.python. Use this skill when the user wants to see how their emitter changes affect generated code compared to what's currently in production, says things like "diff upstream", "compare to baseline", "what change Published by microsoft in typespec. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
94/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Testing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use diff-upstream Skill

  • Use it for testing.

Built with

JavaCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/typespec
  • Skill file: packages/http-client-python/.github/skills/diff-upstream/SKILL.md

What it does

Regenerate the local emitter and diff the generated code against the upstream baseline checked into autorest.python. Use this skill when the user wants to see how their emitter changes affect generated code compared to what's currently in production, says things like "diff upstream", "compare to baseline", "what change

Skill instructions

Diff Upstream Skill Regenerates local emitter output and compares it against the baseline generated code checked into the autorest.python repository. Shows exactly what would change if the current emitter changes were shipped. Optimized for local development with cached baseline and editor integration. Paths All paths are relative to the http-client-python package root. | Item | Path | | --------------------------- | ------------------------------------------------------- | | Package root | ~/Desktop/github/typespec/packages/http-client-python | | Local generated (unbranded) | generator/test/unbranded/generated | | Local generated (azure) | generator/test/azure/generated | | Baseline cache (unbranded) | generator/test/unbranded/.baseline (gitignored) | | Baseline cache (azure) | generator/test/azure/.baseline (gitignored) | | Diff summary output | generator/test/.diff-summary.md (gitignored) | | Regenerate marker | .last-regenerate | | Upstream repo | https://github.com/Azure/autorest.

Explore related resources

Frequently asked questions

What is diff-upstream?

diff-upstream is a open-source AI agent skill with Copy skill directory. Regenerate the local emitter and diff the generated code against the upstream baseline checked into autorest.python.

Who is diff-upstream best for?

diff-upstream is best for reusing agent instructions, scripts, and references, testing workflows.

How do I install diff-upstream?

Install or run diff-upstream using Copy skill directory. Check diff-upstream for the latest setup command.

Is diff-upstream actively maintained?

diff-upstream may need a closer maintenance check before production use.

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Stars
5,794
Forks
375
Last commit
9 days ago
Repository age
5 years
License
MIT

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diff-upstream: Install, Config & GitHub Signals – SkillIndex