Individual skill

engineering-portfolio-review

Solve engineering portfolio environment analysis tasks that require JSON answers from a shared task API. Use for portfolio mix reviews, SLA aging audits, release-readiness assessments, work item classification, duplicate exclusion, stale mirror-field handling, mix target comparison, blocker/dependency analysis, and exact answer-template shaping.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_024/fewshot/codex/fewshot_attempt_03/SKILL.md

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# Engineering Portfolio Review

Use this skill when a task asks for a JSON answer from the shared engineering portfolio environment. The recurring task families are portfolio mix, SLA aging, and release readiness.

## Core Workflow

1. Read the user prompt, `environment_access.md`, and the requested answer template before fetching data.
2. Use the base URL and allowed endpoints from `environment_access.md`. Prefer REST endpoints. Use `POST /api/query` only when the runtime notes provide the required token or headers.
3. Build the answer from authoritative fields:
   - Trust `status`, `closed_at`, `created_at`, `due_at`, `release_id`, `milestone_id`, `duplicate_of`, `work_type`, `labels`, `title`, `team`, `product_area`, `owner`, `severity`, and `priority`.
   - Do not use `mirror_status` or `legacy_category` as truth for status, release membership, or category classification.
4. Separate primary work from duplicates and cancelled records before counting. A primary item has no `duplicate_of` and is not in `Duplicate` or `Cancelled` status.
5. Classify every included item into exactly one portfolio category using the precedence and field rules in [engineering_portfolio_rules.md](references/engineering_portfolio_rules.md).
6. Compute numeric results from counts, not story points, unless the prompt explicitly says otherwise.
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