| 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:
- Identify the part to be deleted.
- The wrapper identifies transitive dependents of the deleted part.
- Create a seed worktree with the target file removed.
- Optimize dependent parameters in subsequent candidate worktrees.
- Summarize:
- run id
- run type (
delete)
- deleted part
- transitive dependents affected
- candidate worktrees
- generated
program.md with post-deletion optimization instructions
-
If the user has not scanned yet, run scan first.
-
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
