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Transform research descriptions into well-structured implementation plans following project conventions
4 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 5 comparable cases; this report requires 8.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
This task was invoked via `/lfg` pipeline mode to plan a fix for panel unit root testing. How should the workflow proceed immediately after writing `docs/plans/2026-02-26-fix-unit-root-plan.md`?
| Checked | Without skill | With skill |
|---|---|---|
| Directly invokes /workflows:work with the created plan file path without displaying an interactive selection menu. | Missed | Passed |
The instructions your model reads when the skill loads.
Pipeline mode: This command operates fully autonomously. All decisions are made automatically.
Transform research descriptions, estimation problems, or methodological improvements into well-structured plan files that follow project conventions and best practices. This command auto-selects the appropriate detail level based on task complexity.
<feature_description> #$ARGUMENTS </feature_description>
If the research description above is empty: Infer the task from recent context — open plan files, recent brainstorms in docs/brainstorms/, or the current estimation code. If no context is available, state "No research task provided" and stop.
Check for brainstorm output first:
Before analysis, look for recent brainstorm documents in docs/brainstorms/ that match this task:
ls -la docs/brainstorms/*.md 2>/dev/null | head -10
If docs/brainstorms/ does not exist, skip brainstorm lookup and proceed with task analysis.
Relevance criteria: A brainstorm is relevant if:
If a relevant brainstorm exists:
test cases passed with the skill
More skills from the same source and nearby in the registry, with their headline benchmark lift.