Files
Model-Optimizer/AGENTS.md
T
Chenjie LuoandClaude Opus 5.5 25d8c91762 Add guidance on keeping skill updates concise to AGENTS.md (#2523)
### What does this PR do?

Type of change: documentation

Adds an `## Updating skills` section to `AGENTS.md` (symlinked as
`CLAUDE.md`). Skills are loaded into agent context, so each extra line
costs tokens every time the skill runs. The new guidance tells the agent
to:

- Keep skill edits concise: add only what changes agent behavior, and
tighten existing text instead of appending more.
- Do a final compression pass over the skill diff before opening a PR:
drop unnecessary explanations and examples, cut redundancy, and merge
overlapping guidance.

### Usage

N/A — no API or flag change.

### Testing

`pre-commit run --files AGENTS.md` (markdownlint and the other
applicable hooks pass).

### Before your PR is "*Ready for review*"

- Is this change backward compatible?: ✅
- If you copied code from any other sources or added a new PIP
dependency, did you follow guidance in `CONTRIBUTING.md`: N/A
- Did you write any new necessary tests?: N/A <!-- documentation-only
change -->
- Did you update
[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?:
N/A <!-- agent instructions only, not user-facing -->
- Did you get Claude approval on this PR?: ❌ <!-- will run /claude
review if reviewers want it -->

### Additional Information

Follows #2494, which added the PR sizing guidance to the same file.

🤖 Generated with [Claude Code](https://claude.com/claude-code)


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

* **Documentation**
* Added guidance for keeping skill updates focused on behavior changes
and reviewing edits for unnecessary detail.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Chenjie Luo <chenjiel@nvidia.com>
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
2026-09-23 10:07:22 -07:00

6.0 KiB

Agent Instructions for ModelOpt

These instructions apply to AI-assisted work in this repository.

Repository orientation

  • Start with README.md for project overview and install.
  • Use modelopt/ for source, tests/ for focused test coverage, and examples/ or docs/ for usage patterns.
  • Agent skills live under plugins/modelopt/skills/, the installable plugin's canonical skill tree. .agents/skills and .claude/skills expose those skills through relative symlinks. Shared agent config and scripts remain under .agents/. See .agents/README.md for the convention.

Coding guidelines

  • Coding guide: Code development and review require reading and following the coding standards in CONTRIBUTING.md; do not skip this step.
  • Use relative paths from the repo root in commands and file references.

Iterative development

  • Running tests: Follow the writing and running tests instructions. For fast initial iteration, choose focused tests for the changed area from tests/.
  • Running pre-commit: Follow the pre-commit hook instructions. Hooks may modify files; review and re-stage those changes before committing.
  • Signed commit: Use git commit -s -S -m "<message>" for commits so they follow the signing your work requirements.
  • Never git push without explicit approval in the current turn. Commit locally is fine; publishing to a remote is not.
  • After git commit, stop and wait for the user to say "push", "publish", "ship", or equivalent before running git push, gh pr create, or any push-option flags like -o merge_request.create.

Updating skills

  • Keep skill edits concise. Skills are loaded into agent context, so every line costs tokens on each use. Add only what changes agent behavior, and prefer tightening existing text over appending new text.
  • Compress before opening the PR. Make a final pass over the skill diff: drop unnecessary explanations and examples, cut redundancy, and merge overlapping guidance.

Sizing and splitting PRs

  • Keep each PR that goes up for review under ~500 changed lines of source. Large PRs stall in review; exceed the budget only when the change genuinely cannot be split — a mechanical rename, generated files, or a self-contained drop such as a new example or a new model/backend that has no working intermediate state. Check the size with git diff --stat <base>...HEAD before opening.
  • Propose the split before opening an oversized PR. When the work in flight is already over budget, offer a series of smaller PRs and, once the user agrees, do the split — don't open the big one and ask afterwards.
  • Split on structure first, features second. Look for a file, directory, or module boundary that carves the change into independent pieces. Only when no such boundary exists, split by feature: land the enabling refactor or plumbing first, then one PR per behavior it unlocks.
  • Keep the series acyclic and linearly ordered. A sub-PR may depend only on ones earlier in the series; if two pieces need each other, they belong in the same PR, or their shared part belongs in an earlier one. State the merge order in each description.
  • Prefix titles with [x/N] — e.g. [2/4] Add NVFP4 export path — so reviewers know it is one slice of a planned split, and link the sibling PRs.
  • Every sub-PR stands on its own: it builds, it carries unit tests for the code it introduces, and CI passes on it without the later PRs.
  • When a split makes the whole hard to follow, the full change may also go up as a draft PR — for reference only, never as a second review request. Keep it in draft, say in its description that it is not for merge, link it from each sub-PR, and list the sub-PRs in it. Rebase or close it as the series lands.

Contributing and PR readiness

  • Before opening or marking a PR ready for review, read the submitting your code guidance.
  • Read .github/PULL_REQUEST_TEMPLATE.md and satisfy the checklist.
  • PR description: fill the template sections — what changed and why, a usage snippet if it adds an API or flag, and what you actually ran under Testing. Root cause, benchmark numbers, and design rationale belong here. Don't restate the diff file by file.
  • Only changelog-worthy changes get a CHANGELOG.rst entry: new features, backward breaking changes, deprecations, and fixes for critical or known bugs from a previous release. Skip bugs introduced and fixed within the same unreleased cycle.
  • Keep each entry to one or two sentences written for external users: what changed and what they need to do. No internal bug numbers (e.g. NVBug IDs), root-cause analysis, or implementation detail — that belongs in the PR description. File features under the matching **New Features** sub-section used by recent releases (e.g. *Quantization*, *Speculative Decoding*, *Megatron Framework (M-LM / M-Bridge)*, *Misc*) rather than relabeling existing ones.

Responding to PR review feedback

  • Judge each comment on its merits before acting. Check it against the current code — reviewers comment on stale diffs, and bot findings (CodeRabbit, Claude) are claims to verify, not instructions. Weight CODEOWNERS reviewers above bots; if a reviewer reaffirms after your pushback, that settles it.
  • Pick one outcome per thread: address it in a commit, push back citing the code that shows the comment is wrong, or postpone it as out of scope. Report which threads got which when you ask for push approval.
  • Reply in every thread the pushed commits addressed — a sentence on what changed and where. Those replies need no extra approval; pushback and postpone replies do, since no commit backs them. Never resolve threads: that is the reviewer's call.