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Coordinate multiple AI-DLC workflows across repositories and Git worktrees using an evidence-backed portfolio catalog and deterministic workspace tooling.
Passed 16 of 19 test cases with the skill, and 3 of 19 without it.
and 18 more in the full report
15 fixed4 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Before completing child session for intent `INTENT-12`, I am cleaning feature worktree memory changes. What revision parameter is strictly required by `memory clean` to prevent race conditions?
| Checked | Without skill | With skill |
|---|---|---|
| Requires expected-worktree-revision parameter obtained from memory inspect. | Missed | Passed |
The instructions your model reads when the skill loads.
Maintain a thin control plane around existing AI-DLC workflows. Never replace or modify the child workflow engine.
Resolve every relative resource path against the directory containing this
SKILL.md. In the commands below, set SKILL_DIR to that absolute directory:
SKILL_DIR=/absolute/path/to/skills/aidlc-portfolio
"$SKILL_DIR/scripts/portfolio.ts" for every portfolio mutation.<root>/portfolio and project checkouts at
<root>/repositories.<root>/worktrees.aidlc_runner per child intent with CAO assign.aidlc-state.md or derive its
next stage.project.md or team.md changes.harness commands.The normal entry point is an operator naming a repository and one or more work items. Perform setup on their behalf:
test cases passed, vs 3 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.