deep_research
Skill0 starsChanged 6 months agoMITView on GitHub
Comprehensive deep research with multi-query search, academic sources, structured analysis, and citations.
In this repository34 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/stack.mdcCursor rule
- api_integrationSkill
- audio_transcriptionSkill
- auto_agentsSkill
- browserSkill
- code_analysisSkill
- code_executionSkill
- data_analystSkill
- docsSkill
- emailSkill
- git_integrationSkill
- gmailSkill
- google_sheetsSkill
- image_generationSkill
- messagingSkill
- notionSkill
- ocrSkill
- parsingSkill
- ragSkill
- researchSkill
- rss_newsSkill
- schedulerSkill
- self_devSkill
- slidesSkill
- social_mediaSkill
- sql_dbSkill
- templateSkill
- translationSkill
- video_processingSkill
- visionSkill
- voice_ioSkill
- web3Skill
- web_automationSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 7 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 26
If critical info is missing, ask 3-5 clarifying questions
- Distinctive: line 30
Use deep_search for general web research (3-5 queries minimum)
- Distinctive: line 31
Use scholar_search for academic papers (call ONCE to save API costs)
- Distinctive: line 32
Use web_scrape to extract details from important URLs
- Distinctive: line 35
Document conflicting perspectives with credibility analysis
- Distinctive: line 46
Always include source links for verifiable claims
- Distinctive: line 47
No unsourced assertions as facts
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Deep Research Skill (from OpenSwarm)
Process
Before Starting
- Review the research request carefully
- If critical info is missing, ask 3-5 clarifying questions
- Once clear, begin research without delay
Conducting Research
- Use deep_search for general web research (3-5 queries minimum)
- Use scholar_search for academic papers (call ONCE to save API costs)
- Use web_scrape to extract details from important URLs
- Prioritize sources: official docs > government > academic > news > industry
- Record source links for every important claim
- Document conflicting perspectives with credibility analysis
Output Format
- Executive Summary — 5-10 actionable bullet points
- Key Findings — grouped by theme with context
- Evidence and Details — with inline citations [Source: URL]
- Options — 2-4 paths with pros/cons
- Recommendation — clear choice with rationale
- Risks, Unknowns, Open Questions — gaps and follow-ups
Notes
- Always include source links for verifiable claims
- No unsourced assertions as facts
- Be transparent about confidence levels
- Maintain objectivity — evidence over opinions
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