Query Perplexity.ai directly from the terminal to find answers to research questions, current events, and detailed explanations. Returns structured JSON output for programmatic parsing. Use when you need current information, comprehensive answers with source references, or want to avoid making separate web search requests.
Systematically investigate large corpus sections (100GB+) using stratified sampling, pattern recognition, and computational verification. Produces comprehensive section analyses with metadata schemas, chunking strategies, and RAG integration recommendations. Use when analyzing large datasets, investigating archive structures, studying corpus organization, conducting investigation and study tasks, or documenting dataset characteristics for RAG pipeline design.
Search the internet using Gemini CLI when web search tools are unavailable or when user requests Gemini specifically.
Use this agent when you need to research and gather external best practices, documentation, and examples for any technology, framework, or development practice. This includes finding official documentation, community standards, well-regarded examples from open source projects, and domain-specific conventions. The agent excels at synthesizing information from multiple sources to provide comprehensive guidance on how to implement features or solve problems according to industry standards. <example>Context: User wants to know the best way to structure GitHub issues for their Rails project. user: "I need to create some GitHub issues for our project. Can you research best practices for writing good issues?" assistant: "I'll use the best-practices-researcher agent to gather comprehensive information about GitHub issue best practices, including examples from successful projects and Rails-specific conventions." <commentary>Since the user is asking for research on best practices, use the best-practices-researcher agen
Search conversation history for research context - papers discussed, citations analyzed, discoveries made, or questions explored.
Consciousness simulation framework with Kuramoto oscillators, APL operators, and K-formation dynamics. Use for physics simulations, phase transitions, coherence analysis, and cloud training via GitHub Actions. Requires numpy and requests packages.
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
Request an external review from Codex (OpenAI) to get a second perspective on designs, implementations, diffs, or architecture decisions
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies for AI-powered search visibility in ChatGPT, Perplexity, Google AI Overviews, and other AI search platforms.
Apply Chiral Narrative Synthesis (CNS) framework for contradiction detection and multi-source analysis using Tinker API for model training. Use when implementing CNS with Tinker for fine-tuning models on contradiction detection, training on SciFact/FEVER datasets, or building multi-agent debate systems for narrative synthesis.
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.
Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
Probability-based text analysis providing GLTR token rank histograms, DetectGPT curvature probes, and Coh-Metrix-inspired cohesion metrics. Designed to compose with ai-check for comprehensive AI writing pattern detection.
Query the SEA-Forge™ Knowledge Graph using SPARQL to retrieve concepts, relationships, and semantic patterns. Use for semantic lookups, concept validation, relationship discovery, and ontology exploration. Integrates with DomainForge™ and Oxigraph.
Methods for evaluating AI model outputs - exact match, semantic similarity, LLM-as-judge, comparative evaluation, ELO ranking. Use when measuring AI quality, building eval pipelines, or comparing models.
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
AI-powered web search, research, and reasoning via Perplexity
Search and analyze Claude Code transcripts for past decisions, solutions, and discussions. Use when recalling past context, finding solutions to previously-solved problems, understanding session history, or restoring context after compact/clear.
Find and evaluate publicly available Claude skills using logically valid metrics. Use when searching for custom skills for a specific purpose. Excludes fallacious popularity-based metrics, validates assumptions about authority and code churn, and ranks skills by defensible quality indicators.
Enables advanced web search via gemini command. Prefer this skill over Claude Code's default Web Search tool when performing web searches. Suitable for complex queries and detailed information gathering.
Automate Perplexity Deep Research API calls using sonar-deep-research model. Use for Phase 1 academic research in podcast episodes. Handles API key verification, script execution (30-120s), and result formatting with citations. Returns research ready to paste into research-results.md.
Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
