Agent skill · Content & Marketing

research

Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficult sites. Fabric pattern selection for 242+ specialized prompts. USE WHEN user says 'do research', 'extract wisdom', 'analyze content', 'find information about', or requests web/content research.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill research-blackpwnguin-personal-ai --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/analysis/research-blackpwnguin-personal-ai/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Research Skill ## API Keys Required **This skill works best with these optional API keys configured in `~/.env`:** | Feature | API Key | Get It From | |---------|---------|-------------| | Perplexity Research | `PERPLEXITY_API_KEY` | https://perplexity.ai/settings/api | | Gemini Research | `GOOGLE_API_KEY` | https://aistudio.google.com/app/apikey | | BrightData Scraping | `BRIGHTDATA_API_KEY` | https://brightdata.com | **Works without API keys:** - Claude-based research (uses built-in WebSearch) - Basic web fetching (uses built-in WebFetch) - Fabric patterns (if Fabric CLI installed) --- ## Workflow Routing ### Multi-Source Research Workflows **When user requests comprehensive parallel research:** Examples: "do research on X", "research this topic", "find information about Y", "investigate this subject" → **READ:** `${PAI_DIR}/skills/research/workflows/conduct.md` → **EXECUTE:** Parallel multi-agent research using available researcher agents **When user requests Claude-based research (FREE - no API keys):** Examples: "use claude for research", "claude research on X", "use websearch to research Y" → **READ:** `${PAI_DIR}/skills/research/workflows/claude-research.md` → **EXECUTE:**

What's inside
Steps it walks through
  1. API Keys Required
  2. Workflow Routing
  3. Multi-Source Research Workflows
  4. Content Retrieval Workflows
  5. Fabric Pattern Processing
  6. Content Enhancement Workflows
  7. Multi-Source Research
  8. Three Research Modes
  9. Available Research Agents
  10. Speed Benefits
  11. Intelligent Content Retrieval
  12. Three-Layer Escalation System
  13. Fabric Pattern Selection
  14. Categories (242+ Patterns)
Ships with 1 file
  • metadata.json
Commands it runs
Auto-select pattern based on intent
fabric [input] -p [selected_pattern]
From URL
fabric -u "URL" -p [pattern]
From YouTube
fabric -y "YOUTUBE_URL" -p [pattern]
More from claude-skill-registry
All skills →
About this skill
What does the research skill do?

Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficult sites. Fabric pattern selection for 242+ specialized prompts. USE WHEN user says 'do research', 'extract wisdom', 'analyze content', 'find information about', or requests web/content research.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill research-blackpwnguin-personal-ai --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going