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Broad landscape mapping strategy — quickly understand what exists in a field. Prioritizes breadth over depth with high paper-overview volume and minimal deep reading. Use when entering a new field or needing orientation before committing to deeper investigation.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Identify what the literature has NOT addressed — missing methods, untested combinations, unexplored applications, contradictions without resolution. Used by all strategies.
Identify recurring themes across papers using qualitative coding methodology. Produces a codebook with theme definitions, supporting evidence, and frequency counts. Used by narrative-review.
Generate PRISMA-compliant flow data documenting the screening funnel — counts at each stage (identification, screening, eligibility, inclusion) with exclusion reasons. Used by systematic-survey via prisma-screening tactic.
Construct a hierarchical field map from paper collection — multi-level taxonomy with parent/child relationships, paper counts per node, and maturity indicators. Used by scoping-survey.
Determine when additional searching yields diminishing returns. Analyzes the latest expansion batch against existing corpus to judge continue/near-saturation/saturated. Used by snowball and systematic-survey.
Validate and prioritize starting papers for snowball surveys. Evaluates which seeds will yield the richest citation traces based on citation count, recency, and network position.
| name | scoping-survey |
| description | Broad landscape mapping strategy — quickly understand what exists in a field. Prioritizes breadth over depth with high paper-overview volume and minimal deep reading. Use when entering a new field or needing orientation before committing to deeper investigation. |
Purpose: Broad and shallow — map the landscape of a field quickly. Understand what exists, who's working on what, and where the boundaries are.
When to use: User is entering a new field, needs orientation before committing to deeper investigation.
| Base SOP | Target | ±10% Range |
|---|---|---|
| web-search | 100 results | 90–110 |
| web-research | 10 pages | 9–11 |
| paper-overview | 100 papers | 90–110 |
| paper-search | 20 papers | 18–22 |
| paper-research | 0 | 0 |
CC may deviate within ±10% with documented reasoning. If the field is genuinely small (fewer papers exist), document and proceed.
Print this table before each major iteration decision:
| SOP | Target | Current | % Complete |
|----------------|--------|---------|------------|
| web-search | 100 | ??? | ???% |
| web-research | 10 | ??? | ???% |
| paper-overview | 100 | ??? | ???% |
| paper-search | 20 | ??? | ???% |
Do not exit the strategy until all rows reach ≥90%.
None mandatory — CC composes directly from SOPs.
Import (strict protocol execution):
web-search → web-browsing/skills/web-search/SKILL.mdweb-research → web-browsing/skills/web-research/SKILL.mdpaper-overview → literature-engine/skills/literature-overview/SKILL.mdpaper-search → literature-engine/skills/literature-search/SKILL.mdSubagent (optional, CC decides):
categorize-papers — cluster papers by theme/method/timelinetaxonomy-mapping — construct hierarchical field mapgap-identification — find what the literature hasn't addressedsurvey-synthesis — produce final structured outputField Landscape Map containing: