Individual skill

engineering-portfolio-audits

Analyze engineering portfolio task environments and produce strict JSON answers for portfolio mix, SLA aging, and release-readiness reviews. Use when prompts mention work items, mix targets, SLA policies, releases, milestones, blockers, dependencies, stale mirror/export fields, duplicate or cancelled records, <TASK_ENV_BASE_URL>, environment_access.md, or answer_template.json.

experiments/codex_gpt5_5_xhigh/reports/skills/task_group_024/self/self_attempt_02/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# Engineering Portfolio Audits

## Core Workflow

1. Read the user prompt and the referenced `answer_template.json` before querying data. Treat schema descriptions as requirements for sorting, rounding, field names, and enum choices.
2. Read `environment_access.md` for the base URL, allowed endpoints, and any query token. Use only the listed endpoints. Prefer REST endpoints; use `/api/query` only for targeted checks, passing the runtime token header from `environment_access.md`.
3. Fetch the needed datasets once and keep their top-level wrappers in mind: endpoints return objects such as `work_items`, `mix_targets`, `sla_policy`, `releases`, `milestones`, `dependencies`, and `blockers`.
4. Use authoritative fields on the core records. Do not use `mirror_status` as truth, and do not let `legacy_category` or labels such as `stale-export` override authoritative `status`, `work_type`, `release_id`, `milestone_id`, `closed_at`, or `duplicate_of`.
5. Return exactly the JSON object requested by the template. Do not include prose outside the JSON.

## Shared Record Rules

- Treat these statuses as complete: `Closed`, `Done`, `Deployed`, `Verified`.
- Treat primary/canonical work as records where `status` is not `Duplicate`, `duplicate_of` is empty, and `status` is not `Cancelled`.