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Use when the user asks a research question that needs synthesized answers grounded in academic literature. Uses paper7 search, get, cite, and kb commands with a hard gate against fabricated citations.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Use this before implementing anything that needs academic grounding — ML features, algorithms, data pipelines, or any work where 'is this backed by research?' matters. Builds a knowledge base from arXiv papers, synthesizes findings, and produces a research brief before implementation begins.
Search and fetch arXiv, PubMed, and DOI papers as clean Markdown for LLM context. Use this skill when the user wants to find academic papers, read research, build a knowledge base, or use a paper as context for analysis. Triggers include "paper7", "find a paper about", "fetch this arXiv paper", "search PubMed", "read this paper", "build a KB", or any task involving academic paper retrieval and comprehension.
| name | paper7-ask |
| description | Use when the user asks a research question that needs synthesized answers grounded in academic literature. Uses paper7 search, get, cite, and kb commands with a hard gate against fabricated citations. |
Use paper7 to answer academic research questions with citation-grounded synthesis and local wiki file-back.
Never cite a DOI, arXiv ID, PMID, author, title, or year unless it appeared in direct paper7 command output in this conversation.
paper7 kb read index; if relevant, read pages with paper7 kb read <slug>.paper7 search "<query>" --max 15 or paper7 search "<query>" --source pubmed --max 15.paper7 get <id> --abstract-only.paper7 kb ingest <id>.paper7 cite <id> --format apa.paper7 kb write <slug>.Give the answer, list consulted papers, and mention the wiki slug written.