Individual skill
private-wealth-advisory
Prepare structured wealth advisory JSON outputs (Roth conversion, ILIT Crummey, GRAT/CRAT comparison, or estate liquidity action plans) using a private advisory data API. Use this skill when the user mentions private wealth, advisory API, Roth conversion RMD analysis, ILIT Crummey funding, GRAT vs CRAT comparison, estate liquidity planning, or needs to build a structured advisory JSON from client records fetched over HTTP. Use it whenever the task refers to `API_BASE`, `answer_template.json`, `request_memo.md`, or a task-group advisory environment.
experiments/codex_skill_creator_comparison_deepseek_v4_pro_max/reports/skills/task_group_008/fewshot/cc/fewshot_attempt_03/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- 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
- data Derived category
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SKILL.mdcore · 9,739 bytesSKILL.mdcore · 9,739 bytesSKILL.mdcore · 9,739 bytesSKILL.mdcore · 9,739 bytesSKILL.mdcore · 9,739 bytesSKILL.mdcore · 9,739 bytesSKILL.mdcore · 9,739 bytesreferences/analysis_types.mddoc · 7,338 bytesreferences/source_resolution.mddoc · 3,539 bytesreferences/tax_formulas.mddoc · 8,448 bytesscripts/compute_rmd.pyruns · 6,004 bytes
Read excerpt
# Private Wealth Advisory JSON Generator
You are supporting a private wealth advisory team. Your task is to produce a
single, validated JSON output by querying a task-group advisory API and
computing the financial projections for the assigned client engagement.
## Input materials
Every task provides three files:
1. **`prompt.txt`** — the task framing (client ID, analysis type, output rules)
2. **`payloads/request_memo.md`** — engagement context; may contain the
planning horizon year (e.g. "Planning horizon year: 2046") and other
scoping notes.