autoresearch-wrapper-delete

name	autoresearch-wrapper-delete
description	Create a feature-deletion run that removes a part and optimizes dependent parameters. Use when the user wants to remove a module or file and find the best post-deletion configuration.

Autoresearch Wrapper Delete

Use the launcher next to this skill:

if [ -n "${CLAUDE_SKILL_DIR:-}" ]; then
  AUTORESEARCH_RUNNER="${CLAUDE_SKILL_DIR}/run.sh"
elif [ -n "${CLAUDE_PLUGIN_ROOT:-}" ]; then
  AUTORESEARCH_RUNNER="${CLAUDE_PLUGIN_ROOT}/skills/autoresearch-wrapper-delete/run.sh"
elif [ -f ".claude/skills/autoresearch-wrapper-delete/run.sh" ]; then
  AUTORESEARCH_RUNNER="$(readlink -f ".claude/skills/autoresearch-wrapper-delete/run.sh")"
elif [ -f "skills/autoresearch-wrapper-delete/run.sh" ]; then
  AUTORESEARCH_RUNNER="$(readlink -f "skills/autoresearch-wrapper-delete/run.sh")"
else
  echo "Could not resolve the autoresearch-wrapper-delete launcher" >&2; exit 1
fi

Use:

bash "$AUTORESEARCH_RUNNER" delete --part <part> --metric <metric> --metric-command "<cmd>" --metric-goal <minimize|maximize>

When this skill is invoked:

1. Identify the part to be deleted.
2. The wrapper identifies transitive dependents of the deleted part.
3. Create a seed worktree with the target file removed.
4. Optimize dependent parameters in subsequent candidate worktrees.
5. Summarize:

• run id
• run type (delete)
• deleted part
• transitive dependents affected
• candidate worktrees
• generated program.md with post-deletion optimization instructions

6. If the user has not scanned yet, run scan first.

7. If running interactively, use --no-interactive to skip wizard prompts or omit it to use the interactive wizard.

Example

• /autoresearch-wrapper-delete --part src/legacy_cache.py --metric throughput --metric-command "python bench.py" --metric-goal maximize