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Find research gaps and suggest future directions. Analyzes a literature corpus to identify what has NOT been studied, contested, or resolved — surfacing research gaps, contradictions left unaddressed, and methodological blind spots.
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
Search HuggingFace Hub for datasets by keyword. Use when the user wants to find training data, benchmarks, or evaluation datasets for ML/NLP/CV research.
Fetch the FULL TEXT of an arXiv paper (all sections — introduction, method, results, conclusion). Use when you need to read beyond the abstract into the paper's actual content. Only works for arXiv papers. For metadata/abstract only, use paper-read. For local PDFs, use paper-read-pdf.
Two-layer memory system with grep-based recall for research sessions.
Track specific scientific claims across the literature over time — who made it, who replicated it, who challenged it, whether it still stands. Use when verifying a key assumption before building on it, or when checking whether a published result has been updated or superseded.
Scan papers for conflicting empirical claims, methodological disagreements, or opposing conclusions on the same topic. Use when writing discussion sections, evaluating conflicting results, or checking if a claim is contested before building on it.
Synthesize findings across multiple papers into a coherent narrative, structured comparison table, or temporal evolution. Use after collecting papers via survey or paper-search. Goes beyond summarizing individual papers to produce insights that only emerge when reading across the corpus as a whole.
| name | gap-analysis |
| description | Find research gaps and suggest future directions. Analyzes a literature corpus to identify what has NOT been studied, contested, or resolved — surfacing research gaps, contradictions left unaddressed, and methodological blind spots. |
| always | false |
paper-fetch skillpaper-search — verify the gap is still openpaper-searchpaper-search with --year-frompaper-searchFor each gap found:
### Gap: [Title]
- Type: empirical | theoretical | applied | methodological
- Score: novelty(1-5) × feasibility(1-5) × impact(1-5) = [composite]
- Evidence: [paper excerpts or findings pointing to this gap]
- Strategy: [which strategy found it]
- Suggested approach: [how to tackle it]
- Required resources: [compute, data, skills needed]
- Related papers: [arXiv IDs]
- Novelty confidence: High / Medium / Low
Organize output as a gap map with sections:
gaps_{topic}_{date}.mdcontradiction-detection skill — contradictions that remain unresolved ARE gapsevidence-grading skill — weak evidence areas signal gaps worth fillingsurvey first to build the corpus, then run this skill on the results