Individual skill

portfolio-env-analysis

Answer read-only analysis questions against the shared engineering-portfolio environment (work items, mix targets, SLA policy, releases, milestones, blockers, dependencies). Covers three task families — portfolio-mix reviews, SLA aging/breach reviews, and release-readiness assessments — each returning a single JSON object that must match the task's own answer_template.json. Use whenever a task points at that environment and asks for a portfolio mix vs a target, an SLA/overdue/escalation readout, or a ship decision.

experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_024/fewshot/fewshot_attempt_03/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 121
Repository last updated: Oct 29, 2026
License: Apache-2.0

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SKILL.mdcore · 8,853 bytes
SKILL.mdcore · 8,853 bytes
portfolio_toolkit.pyruns · 18,398 bytes
reference.mddoc · 5,397 bytes

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# Portfolio environment analysis

One environment backs every task. Each task gives you a **scope** (in its
`prompt.txt`) and an exact **output shape** (in its `payloads/answer_template.json`).
Your job: pull the data over HTTP, apply the shared rules below, and emit a single
JSON object matching that template. Output JSON only — no prose.

`reference.md` holds the full data model and decision tables.
`portfolio_toolkit.py` implements every rule; prefer it over re-deriving the math.

## Workflow

1. **Read the task**, not your memory of past tasks. From the task `prompt.txt`
   extract the scope parameters (scope_id, quarter, teams, product areas,