Individual skill
portfolio-env-analysis
Answer portfolio-engineering analysis tasks (portfolio-mix review, SLA-aging review, release-readiness assessment) that run against a shared HTTP environment. Use when a task supplies an environment_access.md file (base URL + X-Env-Token + allowed endpoints), a natural-language prompt defining a scope, and an answer_template.json JSON Schema, and asks for a single JSON object as the answer. Covers querying work items / mix targets / SLA policy / releases / milestones / dependencies / blockers, separating primary work from duplicate / mirror / cancelled / distractor records, resolving portfolio categories from conflicting signals, computing counts / percentages / gaps / rates with the required precision and ordering, and emitting a schema-conformant JSON answer.
experiments/claude_code_glm_5_2_max/reports/skills/task_group_024/fewshot/fewshot_attempt_01/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 121
- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- benchmark Repository topic
- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
- engineering Derived category
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Browse files
SKILL.mdcore · 9,318 bytesreferences/data_hygiene.mddoc · 5,785 bytesreferences/environment_and_endpoints.mddoc · 5,807 bytesreferences/output_contract.mddoc · 3,390 bytesreferences/task_archetypes.mddoc · 7,450 bytesscripts/validate_answer.pyruns · 5,225 bytes
Read excerpt
# Portfolio Environment Analysis
You are answering an analysis task against a shared "portfolio engineering" environment exposed
over HTTP. The task always gives you three things:
1. **`environment_access.md`** — the *only* sanctioned way to reach the running environment. It
lists the base URL, the `X-Env-Token` value, and the allowed endpoints.
2. **A prompt** (e.g. `input/prompt.txt`) — the natural-language question plus the **scope**
(teams, quarter or as-of date, product areas / categories, `scope_id` or `release_id`, closed
window, and any required enum values).
3. **`answer_template.json`** — a JSON Schema that is the strict output contract.
Your job: query the environment, apply the data-hygiene rules, compute the requested metrics, and
return **a single JSON object** that validates against the template. No prose outside the JSON.