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Execute research implementation plans efficiently while maintaining estimation quality and finishing features
Passed 6 of 12 test cases with the skill, and 3 of 12 without it.
and 5 more in the full report
6 fixed5 passed either way10 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Run the work execution workflow without specifying any plan path. The `docs/plans/` directory is completely empty.
| Checked | Without skill | With skill |
|---|---|---|
| Outputs 'No plan found. Run `/workflows:plan` first.' | Missed | Passed |
| Stops execution immediately when no plan file is found | Passed | Passed |
The instructions your model reads when the skill loads.
Pipeline mode: This command operates fully autonomously. All decisions are made automatically.
Execute a research implementation plan systematically. The focus is on shipping complete, reproducible research code by understanding requirements quickly, following existing patterns, and maintaining estimation quality throughout.
<input_document> #$ARGUMENTS </input_document>
If no input document is provided: Look for the most recent plan in docs/plans/ and use it. If no plans exist, state "No plan found. Run /workflows:plan first." and stop.
Read Plan
Setup Environment
First, detect the project environment:
# Detect estimation language
if [ -f "requirements.txt" ] || [ -f "setup.py" ] || [ -f "pyproject.toml" ]; then
echo "LANG=python"
elif [ -f "DESCRIPTION" ] || [ -f "renv.lock" ] || [ -f ".Rprofile" ]; then
echo "LANG=R"
elif [ -f "Project.toml" ]; then
echo "LANG=julia"
elif ls *.do >/dev/null 2>&1; then
echo "LANG=stata"
fi
test cases passed, vs 3 / 12 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.