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.
Decision snapshot
Is this a fit?
Testing, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
2 months ago · MIT license
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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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Testing use cases
Declared skill metadata
- Source file: packages/http-client-python/.github/skills/diff-upstream/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use diff-upstream Skill
- Use it for testing.
Built with
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.
Verified compatibility and discovery
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.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
