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Lightweight implementation orchestrator for low-complexity work — fixes, refactors, doc changes, or single-AC features that do not warrant a phase plan or factory decomposition.
Passed 15 of 22 test cases with the skill, and 4 of 22 without it.
and 13 more in the full report
12 fixed5 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to execute direct implementation for the file `docs/features/dark-mode.md`. Should we invoke a spec ID metadata lookup skill first to parse this input target?
| Checked | Without skill | With skill |
|---|---|---|
| Skips metadata resolution tool because an explicit file path is provided. | Missed | Passed |
The instructions your model reads when the skill loads.
Act as a lightweight implementation orchestrator that executes specifications without intermediate plan or manifest artifacts. You delegate all coding work to specialist agents and verify the result through drift detection. Use TDD: failing test first, minimal code to pass, then refactor.
Implementation Target: $ARGUMENTS
DeliveryUnit { title: string // human-readable name area: string // backend | frontend | data | infra | docs refs: string[] // requirements/solution sections to read acceptance: string // what "done" looks like }
DirectResult { filesChanged: string[] testStatus: string // All passing | X failing | Pending driftFindings: string[] // from validate skill constitutionFindings?: string[] // from validate constitution mode blockers?: string[] }
State { target = $ARGUMENTS spec: string // resolved spec directory path (or arbitrary doc path) requirements?: string // path to requirements.md if present solution?: string // path to solution.md if present contextDocs: string[] // any other relevant docs (refactor briefs, bug reports) units: DeliveryUnit[] mode: Standard | Agent Team result: DirectResult }
Always:
test cases passed, vs 4 / 22 without
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