Personal_AI_Infrastructure research
Comprehensive research and content extraction. Quick, standard, extensive, and deep modes with multi-source parallel investigation, content retrieval, and analysis. USE WHEN research, investigate, find information, analyze content, retrieve content, extract knowledge, web scraping, standard research, map landscape, competitive analysis, deep investigation.
install
source · Clone the upstream repo
git clone https://github.com/danielmiessler/Personal_AI_Infrastructure
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/danielmiessler/Personal_AI_Infrastructure "$T" && mkdir -p ~/.claude/skills && cp -r "$T/Releases/Pi/skills/research" ~/.claude/skills/danielmiessler-personal-ai-infrastructure-research-2ed017 && rm -rf "$T"
manifest:
Releases/Pi/skills/research/SKILL.mdsource content
Research Skill
Modes
| Mode | Depth | Sources | Time |
|---|---|---|---|
| Quick | Surface scan | 2-3 sources | <1 min |
| Standard | Balanced coverage | 4-6 sources | 2-5 min |
| Extensive | Broad sweep | 8-12 sources | 5-10 min |
| Deep | Exhaustive | 15+ sources | 10-30 min |
Workflow
- Decompose the research question into 3-10 sub-queries
- Search using web search across multiple angles
- Extract key findings, data points, and insights
- Synthesize into a structured report
- Verify claims with cross-referencing
Output Format
## Research: [Topic] ### Key Findings - [Finding 1 with source] - [Finding 2 with source] ### Analysis [Synthesis of findings] ### Sources - [Source 1](url) - [Source 2](url)
Rules
- Always cite sources
- Flag conflicting information
- Distinguish facts from opinions
- Note confidence levels
- Prefer primary sources over secondary