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For Python projects. Update 20260506.

Repository Guidelines

Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.

1. Think Before Coding

Don't assume. Don't hide confusion. Surface tradeoffs.

Before implementing:

  • State your assumptions explicitly. If uncertain, ask.
  • If multiple interpretations exist, present them - don't pick silently.
  • If a simpler approach exists, say so. Push back when warranted.
  • If something is unclear, stop. Name what's confusing. Ask.

2. Simplicity First

Minimum code that solves the problem. Nothing speculative.

  • No features beyond what was asked.
  • No abstractions for single-use code.
  • No "flexibility" or "configurability" that wasn't requested.
  • No error handling for impossible scenarios.
  • If you write 200 lines and it could be 50, rewrite it.

Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.

3. Surgical Changes

Touch only what you must. Clean up only your own mess.

When editing existing code:

  • Don't "improve" adjacent code, comments, or formatting.
  • Don't refactor things that aren't broken.
  • Match existing style, even if you'd do it differently.
  • If you notice unrelated dead code, mention it - don't delete it.

When your changes create orphans:

  • Remove imports/variables/functions that YOUR changes made unused.
  • Don't remove pre-existing dead code unless asked.

The test: Every changed line should trace directly to the user's request.

4. Goal-Driven Execution

Define success criteria. Loop until verified.

Transform tasks into verifiable goals:

  • "Add validation" → "Write tests for invalid inputs, then make them pass"
  • "Fix the bug" → "Write a test that reproduces it, then make it pass"
  • "Refactor X" → "Ensure tests pass before and after"

For multi-step tasks, state a brief plan:

1. [Step] → verify: [check]
2. [Step] → verify: [check]
3. [Step] → verify: [check]

Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.

Goal: Keep changes small, avoid unnecessary rewrites, and clarify ambiguity before implementing.

Scope, Docs, and Environment

  • User instructions override this guide; this guide overrides generic defaults.
  • Save generated markdown under doc/; save plans under doc/plans/ and archive finished plans under doc/plans/archive/.
  • Prefix generated markdown filenames with YYYYMMDD; reports must be Markdown and include exact reproducibility commands.
  • Assume no sudo; keep installs user-local and reproducible. Prefer mamba, standalone binaries, conda, uv, then pip.
  • Run checks in the same environment as the user's workflow. If the authoritative environment is unclear, ask.

Code Standards

  • Python targets 3.11+. Use ruff and pyright from pyproject.toml.
  • Keep reusable logic in importable modules under src/; keep runnable scripts thin and under domain-specific src/ subfolders.
  • Prefer clear typed Python: pathlib, f-strings, explicit names, no wildcard imports, guarded entry points, and Google-style docstrings for public APIs.
  • Use logging.getLogger(__name__) for production code and include stable identifiers when useful.

Verification

  • Run the smallest meaningful verification for the change.
  • During Python iteration, run ruff check <changed_files> --fix and ruff format <changed_files>.
  • Add pytest tests for reusable/shared logic; one-off scripts may use lightweight validation.
  • Run full ruff, pyright, and python -m pytest before handoff for shared/core logic, multi-file changes, or behavior changes.
  • Report type-check pass/fail when pyright is relevant.

Project-Specific Constraints

  • For iEnigma usage, follow /home/jhuang/project/NER_label_extraction/doc/iEnigma_v1.0_readme.md; if inaccessible, ask for constraints.
  • Never commit secrets. Keep large generated artifacts in designated output folders such as result/, do not commit caches/temp/env folders, and update .gitignore for new artifact patterns.
  • For commits, PRs, pushes, merges, and GitHub work, use the installed git workflow skills and ask for approval before mutating remote or commit history.
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