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Magnus HedemarkandGitHub
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* fix: SkillOpt Epoch 1 — forward-deployed-engineering optimization Inline the nine-stage contract table into SKILL.md (required question, minimum output, stop condition per stage) with template links and the entry-evidence rule; dedup the stage table out of references/lifecycle-and-artifacts.md into a pointer. Name agent-evals-and-observability and production-readiness inline in the applied-AI release gate (loading protocol step 5). Validated: 2/2 held-out edits accepted (non-regression, all-pass baseline), repo validators green (validate-skills, validate-skill-quality, validate-bundles, validate-evals). * fix: SkillOpt Epoch 2 — forward-deployed-engineering optimization Add a 'Where to enter the lifecycle' table (existing state -> entry stage, with the neckbeard route for bounded changes) and the entry-evidence rule for mid-stream joins. Replace the flat 'When not to use' list with a proactive Scenario | Reach for | Why routing table covering the six boundary routes. Validated: 2/2 held-out edits accepted (non-regression, all-pass baseline) plus a regression probe on epistemic labels; repo validators green. * fix: SkillOpt Epoch 3 — forward-deployed-engineering optimization Add references/worked-example-engagement.md, a fully synthetic depth calibration artifact showing the charter, evidence-labeled ledger, stage handoff, evaluation and release decision, adoption scorecard, outcome measurement record, and productization record for one engagement. Add a File map row, enumerate the templates row (surfacing engagement-status), and add a depth-calibration pointer in the Lifecycle section. Validated: 2/2 held-out edits accepted (non-regression, all-pass baseline); repo validators green; sanitization scan clean (no private identifiers).