focused-fix

Installation
SKILL.md

Focused Fix

Category: Engineering Domain: Debugging & Maintenance

Overview

The Focused Fix skill enforces a disciplined minimal-change approach to bug fixing. Instead of refactoring or improving code during a bugfix, it identifies the smallest possible change set that resolves the issue. This reduces risk, simplifies code review, and prevents scope creep.

Use when

  • The user asks to "fix a bug with minimal changes", "do a focused bugfix", or "scope a minimal repair"
  • A bug report needs triage to identify the smallest set of files to touch
  • A PR is at risk of scope creep (unrelated refactors, style changes, "nearby" fixes)
  • A hotfix or release-blocker needs a low-risk, reviewable change set
  • The user asks "what is the minimal change to fix X?" or "which files do I need to touch for this bug?"

Quick Start

# Analyze a bug description to identify minimal change scope
python scripts/change_scope_analyzer.py --bug "Login fails when email has + character" --path ./src

# Analyze with JSON output
python scripts/change_scope_analyzer.py --bug "API returns 500 on empty array input" --path ./src --format json

# Analyze with specific file extensions
python scripts/change_scope_analyzer.py --bug "CSS overflow on mobile" --path ./src --extensions .css .scss .html

Tools Overview

Tool Purpose Key Flags
change_scope_analyzer.py Identify minimal files to change for a bugfix --bug, --path, --extensions, --format

change_scope_analyzer.py

Analyzes a bug description against a codebase to identify:

  • Files most likely related to the bug (keyword matching, import tracing)
  • Estimated change scope (number of files, lines)
  • Risk assessment for the change
  • Recommended fix approach (minimal vs. structural)

Workflows

Focused Bugfix Workflow

  1. Write a clear bug description — reproduction steps, expected vs actual behavior
    • Validate: the description names the observable failure, not a guess at the cause
  2. Run change_scope_analyzer.py to identify scope
    • Validate: analyzer output lists concrete files and an estimated line count
  3. Review the recommended files and approach
    • Validate: recommended approach is "minimal" — if it says "structural", stop and scope a refactor PR separately
  4. Make ONLY the changes needed to fix the bug
    • Validate: git diff --stat matches (or is smaller than) the analyzer's recommendation
  5. Verify no unrelated changes leaked in
    • Validate: git diff shows no formatting-only changes, no unrelated imports, no "while I'm here" edits
  6. Submit PR with focused change set
    • Validate: commit message states the exact bug fixed, and a regression test is included

Scope Validation

  1. After making changes, re-run analyzer
  2. Compare actual changes against recommended scope
  3. Flag any out-of-scope modifications for separate PRs
    • Validate: any file touched that was not in the analyzer recommendation has a one-line justification or is reverted

Reference Documentation

Common Patterns

Do

  • Fix the exact bug reported
  • Add a regression test for the fix
  • Document why the fix works in the commit message
  • Keep the diff as small as possible

Don't

  • Refactor surrounding code during a bugfix
  • Fix "nearby" issues in the same PR
  • Change formatting or style in touched files
  • Add features disguised as bugfixes

Anti-patterns

Anti-pattern Failure mode Fix
"While I'm here" refactors in the bugfix PR Blast radius explodes; review time multiplies; unrelated regressions masked by the real fix Open a separate PR for the refactor, tagged as refactor: not fix:
Reformatting or auto-save style changes in touched files Diff becomes unreadable; real fix hidden in 200 lines of whitespace Revert style changes before committing; configure the editor to format-on-save only for new files
Fixing the symptom in the wrong layer Bug returns in a new form; accumulates workaround debt Trace to the root layer — analyzer's keyword-match output is a hint, not an answer
Skipping the regression test "because the fix is obvious" Bug silently returns on a refactor 6 months later Every fix: commit adds at least one failing-then-passing test
Treating change_scope_analyzer.py output as authoritative Analyzer is keyword/import-based, not semantic — misses dynamic dispatch, reflection, config-driven paths Use it as a starting set; grep for callers and tests before committing to the scope
Bundling the fix with a dependency upgrade Two risk profiles in one PR; if rollback is needed, both are lost Land the upgrade separately, then the fix against the upgraded baseline
Weekly Installs
30
GitHub Stars
103
First Seen
3 days ago