Systematic multi-angle web research methodology.
npx skills add https://github.com/HezaoHezao/poirot --skill deep-research
Systematic methodology for thorough web research. **Load this skill BEFORE
starting any content generation task** to ensure information from multiple
angles, depths, and sources.
Always load when:
real-world information
Never generate content based solely on general knowledge. A single search
query is NEVER enough.
Start with broad searches to understand the landscape:
themes, angles needing deeper exploration
For each important dimension identified, conduct targeted research:
browse_page to read important sources in full,not just snippets
Ensure comprehensive coverage by seeking diverse information types:
| Information Type | Purpose | Example Searches |
|-----------------|---------|------------------|
| Facts & Data | Concrete evidence | "statistics", "data", "market size" |
| Examples & Cases | Real-world applications | "case study", "example", "implementation" |
| Expert Opinions | Authority perspectives | "expert analysis", "interview", "commentary" |
| Trends & Predictions | Future direction | "trends 2026", "forecast", "future of" |
| Comparisons | Context and alternatives | "vs", "comparison", "alternatives" |
| Challenges & Criticisms | Balanced view | "challenges", "limitations", "criticism" |
Before proceeding to content generation, verify:
If any answer is NO, continue researching before generating content.
# Be specific with context
"enterprise AI adoption trends 2026"
# Include authoritative source hints
"[topic] research paper"
"[topic] McKinsey report"
# Search for specific content types
"[topic] case study"
"[topic] statistics"
# Use temporal qualifiers — use the ACTUAL current year
"[topic] 2026"
"[topic] latest"
Always check the current date before forming search queries:
| User intent | Temporal precision | Example query |
|---|---|---|
| "today / just released" | Month + Day | "tech news February 28 2026" |
| "this week" | Week range | "technology releases week of Feb 24 2026" |
| "recently / latest" | Month | "AI breakthroughs February 2026" |
| "this year / trends" | Year | "software trends 2026" |
Use browse_page to read full content when:
Research is iterative:
Research is sufficient when you can confidently answer:
After completing research, you should have:
Only then proceed to content generation.
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Take hezaohezao/deep-research from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.