- name
- academic-deep-search
- description
- |
Academic Deep Search
Use this skill for requests such as:
- "What markers do studies on topic X usually measure?"
- "What do results sections in this field usually report?"
- "Show me a typical figure for this disease model or pathway."
- "What experimental methods are commonly used in this literature?"
The goal is not just to find papers. The goal is to read enough of the right papers to give the user a structured, directly useful answer.
Two Output Modes
Choose the mode that best matches the user request.
Body Mode
Use when the user asks about:
- molecules or markers commonly measured
- methods commonly used
- what findings usually appear in Results sections
Organize the answer by experiment type or finding category, not by paper.
Figure Mode
Use when the user asks for:
- a typical figure in a topic
- how findings are visually presented
- figure captions or representative panels
Organize the answer by figure, with source attribution and caption context.
Workflow
1. Clarify The Research Question
Identify:
- the topic or disease area
- whether the user wants methods, markers, findings, or figures
- whether the user named a specific journal, database, or URL
- whether the topic is biomedical or from another field
If the topic is biomedical, translate the idea into standard English search terms and prefer controlled vocabulary when possible.
2. Respect Source Scope First
If the user specifies a source, that scope is binding.
Examples:
- if the user says PubMed, do not mix in Google Scholar
- if the user names specific journals, search only those journals
- if the user gives a URL, read that source directly before searching elsewhere
Do not silently broaden the source list.
3. Build Search Terms Carefully
Use English search terms for database queries, even if the conversation is in Chinese.
For biomedical topics:
- prefer MeSH or other standardized vocabulary when available
- generate a few close variants or synonyms
- keep journal names exact when filtering by journal
Detailed query construction tips are in references/query-guide.md.
4. Search For Candidate Papers
Prefer the best database for the topic:
- biomedical: PubMed or PMC first
- quantitative or engineering topics: field-appropriate databases
- broad discovery: web search only when a better native source is unavailable
Aim to identify a small set of relevant papers with accessible full text. A few well-read papers are better than many shallow hits.
5. Verify Source Membership Before Citing
Before you cite a paper as belonging to a target journal or source, verify it.
Check:
- journal field on the abstract page or database result
- exact source metadata in the database
- whether the paper truly matches the user-specified scope
Do not attribute a paper to a journal or database unless you confirmed it.
6. Read Full Text Strategically
Abstract-only answers are usually not enough.
Read:
- Methods, Results, and Discussion for Body Mode
- figure captions plus the relevant Results text for Figure Mode
If full text is not available, say that clearly and lower confidence.
7. Select And Synthesize
Choose 2 to 5 papers that are:
- relevant to the question
- compliant with the requested source scope
- diverse enough to avoid overgeneralizing from one paper
- rich enough in methods, results, or figures to support the answer
Then synthesize across papers instead of writing a paper-by-paper summary unless the user asked for that.
Output Rules
- Answer directly in chat unless the user asks for a file.
- Use inline citations such as PMID, PMCID, DOI, or direct links.
- Be explicit about what was actually read.
- If evidence is limited, say so plainly.
Use references/query-guide.md for output templates.
Non-Negotiable Rules
- User-specified source scope overrides your defaults.
- Do not answer methods or marker questions from abstracts alone if full text is available.
- Do not fabricate source membership or figure details.
- Prefer PubMed and PMC for biomedical literature.
- Translate search intent into English for querying, but answer in the user's language when appropriate.
If Results Are Sparse
When little is found:
- broaden or narrow terms thoughtfully
- try synonyms or controlled vocabulary
- explain what was searched and why the yield was limited
- suggest the next best search strategy