skills/deep-research/SKILL.md
This skill should be used when the user asks to "deep research", "comprehensive research on", "thorough investigation of", "research report on", "deep dive into", "literature review on", or needs Gemini Deep Research for web-grounded multi-source synthesis beyond what Google Scholar and Consensus provide.
npx skillsauth add edwinhu/workflows deep-researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Web-grounded deep research via Gemini Interactions API.
NEVER call the Gemini Interactions API manually. ALWAYS use bun deep-research.ts. This is non-negotiable.
cd "${CLAUDE_SKILL_DIR}" && bun deep-research.ts "research query"
The script handles model selection, interaction submission, polling with retries, timeout enforcement, and report formatting. Calling the Interactions API by hand means you skip retry logic, miss the 65-minute timeout guard, and lose the saved report file.
Deep Research is the LAST RESORT in the librarian's source hierarchy. It costs $1-7 per query, takes minutes not seconds, and produces a broad web-grounded report rather than precise academic citations.
User needs information on a topic
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v
Check curated sources FIRST (all must be exhausted):
1. Paperpile bib (local library)
2. Google Scholar (scholar search/lookup)
3. Consensus (consensus search)
4. NLM notebooks (existing sources)
5. Readwise (highlights/full-text)
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Are there still significant gaps?
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+-- NO --> Stop. Curated sources are sufficient.
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+-- YES
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Has the user explicitly asked for broader/deeper research?
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+-- NO --> Report gaps, suggest deep research, WAIT for approval.
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+-- YES --> Run deep-research.ts
--bibtexcd "${CLAUDE_SKILL_DIR}" && bun deep-research.ts "What is the current state of mandatory climate disclosure regulation worldwide?"
cd "${CLAUDE_SKILL_DIR}" && bun deep-research.ts --fast "ESG disclosure enforcement mechanisms"
cd "${CLAUDE_SKILL_DIR}" && bun deep-research.ts --status <interaction-id>
cd "${CLAUDE_SKILL_DIR}" && bun deep-research.ts --json "corporate governance reform trends"
| Model | Flag | Queries | Time | Cost | Use when |
|-------|------|---------|------|------|----------|
| deep-research-max | (default) | ~160 web queries | 5-20 min | ~$3-7 | Thorough reports, literature reviews, multi-faceted questions |
| deep-research | --fast | ~80 web queries | 2-10 min | ~$1-3 | Quick scans, narrow questions, time-sensitive requests |
$1-7 per query. NEVER auto-invoke. Always ask the user first.
This is the most expensive tool in the librarian's toolkit. Before every invocation:
--fast costs $1-3 and takes 2-10 minutes; Scholar, Consensus, Paperpile, NLM, and Readwise are free and return in seconds. Reaching for deep research because it seems "faster than searching multiple sources" is counterproductive on its own terms.Paperpile bib --> Scholar --> Consensus --> NLM / Readwise
(local) (free) (free) (free)
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[GAPS IDENTIFIED + USER ASKS]
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Deep Research (THIS SKILL)
$1-7, 2-20 min
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Curate results to NLM
(save report, extract key sources)
After deep research completes:
/tmp/deep-research-<id>.md for reference| # | Action | Why Wrong | Do Instead |
|---|--------|-----------|------------|
| 1 | Using before checking curated sources | Scholar, Consensus, Paperpile, NLM, Readwise are free and fast | Exhaust all five curated sources first |
| 2 | Using for known paper lookup | Deep Research returns web-grounded reports, not citation metadata | Use scholar lookup --bibtex or scholar cite |
| 3 | Launching without user's explicit request | $1-7 per query; unauthorized spending violates trust | Report gaps, state cost, wait for go-ahead |
| 4 | Calling Interactions API directly (without the script) | Skips retry logic, timeout guard, report file save | Always use bun deep-research.ts |
| 5 | Ignoring the report and re-searching the same topic | Wastes another $1-7 for information you already have | Read the saved report at /tmp/deep-research-<id>.md |
| Variable | Required | Description |
|----------|----------|-------------|
| GOOGLE_API_KEY | Yes | Gemini API key with Deep Research access |
Timeout: 65 minutes maximum polling duration (covers the API's 60-min hard limit plus buffer).
Polling interval: 10 seconds between status checks.
Retries: Up to 3 retries on transient errors (503, 429, service_unavailable, rate_limit).
The script prints the research report to stdout as Markdown. It also saves the report to /tmp/deep-research-<interaction-id>.md for later reference.
With --json, it prints the full interaction object as JSON (useful for debugging or extracting structured metadata).
On failure, it prints the error to stderr and exits non-zero.
tools
Use when "query Dewey Data", "deweydata.io", "SafeGraph places/patterns/spend", "Advan foot traffic", "POI / points of interest", "mobility data", "dataplor", "Veraset", "PassBy", "crypto/Bitcoin ATM locations", or any pull from the Dewey Data academic marketplace (UVA/NYU Platform Subscription) via the deweypy/deweydatapy client, DuckDB, or the Dewey MCP server.
development
Use when submitting jobs to UVA HPC (Rivanna/Afton), writing Slurm scripts (sbatch/srun/squeue), converting SGE to Slurm, running compute on any Slurm-managed cluster, or building WRDS data pipelines with polars on HPC. Triggers: 'submit to HPC', 'sbatch', 'squeue', 'slurm job', 'run on Rivanna', 'run on Afton', 'HPC array job', 'convert SGE to Slurm', 'polars on HPC', 'WRDS from HPC'.
testing
Internal skill for literature review and source materialization. Called after brainstorm, before setup. NOT user-facing.
development
This skill should be used when the user asks to "add paper", "paperpile add", "fetch PDF for", "find and add", "search paperpile", "find in paperpile", "paperpile search", "label paper", "trash paper", "download paper", "paperpile index", "edit paper metadata", "update paper title", "fix paper author", "paperpile edit", "find PDF online", "search google for PDF", "resolve PDF", "fetch PDF for citation", "get full-text for DOI", "resolve cite to PDF", or any request to manage their Paperpile library or resolve a citation to a local PDF.