# Expert Survey Report

> Use when the user wants an expert literature survey from a paper set, with the final report organized by themes, problem chains, and evidence-backed synthesis rather than paper-by-paper summaries, while still requiring per-paper Analysis_Detail.md as source material.

- Skill: `wyattjy/expert-survey-report` (Agent Skill)
- Install (CLI): `npx skillmds@latest add wyattjy/expert-survey-report`
- Raw SKILL.md: https://api.skillmd.com/api/skills/wyattjy/expert-survey-report/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: WyattJY (https://skillmd.com/u/wyattjy)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/wyattjy/expert-survey-report

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# Expert Survey Report

Canonical implementation lives at:
`G:\Wyatt\HK_intership\.agent\skills\expert-survey-report`

Use this as the Codex entry skill for expert-survey-style research reports.

1. Read the canonical skill at:
   `G:\Wyatt\HK_intership\.agent\skills\expert-survey-report\SKILL.md`
2. Keep the per-paper pipeline from:
   `G:\Wyatt\HK_intership\.agent\skills\research-workflow`
   and
   `G:\Wyatt\HK_intership\.agent\skills\research-analysis-subagent`
3. For the final synthesis stage, follow:
   `G:\Wyatt\HK_intership\.agent\skills\expert-survey-report\assets\expert_survey_blueprint.md`
4. Prefer `G:\` paths and the HK runtime/tooling.