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Track parallel work sessions and prevent confusion across multiple Claude Code instances. Every major step ends with a status line. Every question re-states project, branch, and task.
Passed 13 of 20 test cases with the skill, and 6 of 20 without it.
and 9 more in the full report
9 fixed5 passed either way6 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
I completed the S3 file upload handler and all tests pass, but noticed the max file size limit is hardcoded to 10MB rather than configurable via env vars. Report the step completion status.
| Checked | Without skill | With skill |
|---|---|---|
| Uses STATUS: COMPLETE_WITH_NOTES | Missed | Passed |
| Mentions the hardcoded file size limit in the notes section | Passed | Passed |
The instructions your model reads when the skill loads.
When running multiple Claude Code sessions in parallel, confusion is the enemy. This skill ensures every session identifies itself and every step reports its state.
Every response that involves a decision, plan, or significant action starts with orientation:
SESSION: my-app | branch: feat/auth | task: Add JWT refresh tokens
This takes one line. It costs almost nothing. It prevents the user from applying feedback to the wrong session.
Check for sibling Claude Code processes:
pgrep -af "claude" | grep -v "$$" | head -5
Or check for active worktrees:
git worktree list 2>/dev/null
Or look for session markers (written by session-start.js / session-end.js):
ls $TMPDIR/pro-workflow/sessions/ 2>/dev/null | tail -5
If multiple sessions are detected, always include the session identification header. If only one session is running, include it at task boundaries and before presenting options.
End every major step with exactly one status line. No ambiguity.
test cases passed, vs 6 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.