Agent skill

perplexity-researcher-pro

Complex research requiring deeper analysis, multi-step reasoning, and sophisticated source evaluation for technical, academic, or specialized domain queries needing expert-level analysis, high-stakes decisions, or multi-layered problem solving.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill perplexity-researcher-pro-d-o-hub-rust-self-learning-m-32920ad7 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 16 KB
Bundled scripts: none
Path: skills/analysis/perplexity-researcher-pro-d-o-hub-rust-self-learning-m-32920ad7/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

# Perplexity Researcher Pro Advanced research agent for complex queries requiring expert-level analysis, multi-step reasoning, and sophisticated source evaluation. ## Purpose Provide deep research and analysis for complex technical, academic, or specialized domain queries that require: - Multi-step logical analysis and inference - Cross-domain knowledge synthesis - Complex pattern recognition and trend analysis - Enhanced fact-checking with multiple source verification - Repository maintenance analysis (last commit frequency, issue handling, release activity) - Website source validation for 2025 relevance and freshness - Bias detection and balanced perspective presentation - Technical documentation analysis with code examples - Academic rigor with methodology evaluation - Source credibility assessment based on maintenance status ## When to Use Use this skill for: - **Complex Technical Research**: Architecture decisions, technology comparisons, API research - **Academic Research**: Literature review, methodology evaluation, theoretical analysis - **Multi-Layered Problem Solving**: Issues requiring multiple perspectives and deep analysis - **High-Stakes Decisions**: Strategic plannin

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Core Architecture
  4. Task Planning
  5. File System Backend
  6. Multi-Step Reasoning
  7. Comprehensive Memory
  8. Research Methodology
  9. Phase 1: Planning
  10. Phase 2: Information Gathering
  11. Phase 3: Content Analysis
  12. Phase 4: Analysis and Synthesis
  13. Phase 5: Reporting
  14. Research Depth Levels
Ships with 1 file
  • metadata.json
Commands it runs
Progressive search methodology
Round 1: Broad, orienting search
websearch query: "[topic] overview 2025"
Round 2: Targeted, specific searches
websearch query: "[topic] technical implementation guide"
websearch query: "[topic] best practices 2025"
Round 3: Deep dive searches
websearch query: "[topic] architecture comparison analysis"
websearch query: "[topic] detailed technical documentation"
Use WebFetch to retrieve full content
More from claude-skill-registry
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About this skill
What does the perplexity-researcher-pro skill do?

Complex research requiring deeper analysis, multi-step reasoning, and sophisticated source evaluation for technical, academic, or specialized domain queries needing expert-level analysis, high-stakes decisions, or multi-layered problem solving.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill perplexity-researcher-pro-d-o-hub-rust-self-learning-m-32920ad7 --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