content-research-writer
Write blog posts/newsletters in YOUR voice with research and citations
Write blog posts/newsletters in YOUR voice with research and citations
Creates high-quality content (blog posts, tweets, newsletters, documentation) that matches the user's writing style and voice. Performs web research to find citations and supporting evidence. Use when user requests blog posts, marketing content, newsletters, tweets, or any written content that should sound authentic and be well-researched.
Read and search digital books (PDF, EPUB, MOBI, TXT). Use when answering questions about a book, finding quotes or passages, navigating to specific pages or chapters, or extracting information from documents.
Verifies factual claims against source documents. Use when answering questions about meeting content, decisions, project details, or any assertion that should be grounded in data files.
Analyze PDF documents including reports, whitepapers, ebooks, and manuals. Use when the user mentions PDF, document, whitepaper, ebook, report file, or wants to analyze a .pdf file.
Manage bibliographies, citations, and academic references in multiple formats
Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation
Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /research or deep-research, or (4) preparing input for /plan phase.
Computational text analysis for sociology research using R or Python. Guides you through topic models, sentiment analysis, classification, and embeddings with systematic validation. Supports both traditional (LDA, STM) and neural (BERT, BERTopic) methods.
Documentation of available data science libraries (scipy, numpy, pandas, sklearn) and best practices for statistical analysis, regression modeling, and organizing analysis scripts. **CRITICAL:** All analysis scripts MUST be placed in reports/{topic}/scripts/, NOT in root scripts/ directory.
Multi-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebases, investigating patterns, or synthesizing findings from multiple sources.
Guide for writing Drasi continuous queries using Cypher. Use this when asked to create, modify, or troubleshoot Drasi queries.
Code Query with AI-enhanced deterministic analysis via SplitMix ternary classification
Generate answers to questions with structured output using AI search and synthesis. Use when you need factual answers with citations from web sources, or when you want to extract specific structured information in response to a query.
Executes Perplexity AI queries via unified Python CLI. Use when conducting web research, asking questions with citations, deep research tasks, reasoning problems, or searching for up-to-date information.
Use when the user mentions Exa research OR when the workflow benefits from complex, multi-step research and other exa-ai approaches are not yielding satisfactory results.
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.
[Aesthetics] Positions aesthetics within art/design history, identifies what traditions it echoes, and spots clichés, generic trends, and AI-slop patterns to avoid. Outputs Critical Notes as Memo nodes in Brain canvas.
Analyze arguments, detect biases, evaluate claims, and improve reasoning. Use when asked to fact-check, identify logical fallacies, evaluate arguments, analyze predictions, find root causes, or think adversarially about plans. Triggers include "evaluate this argument", "logical fallacies", "fact check", "analyze the claims", "identify biases", "devil's advocate", "red team this", "root cause".
Orchestrate multiple frontier LLMs (Claude, GPT-5.1, Gemini 3.0 Pro, Perplexity Sonar, Grok 4.1) for comprehensive research using LLM Council pattern with peer review and synthesis
Retrieval Augmented Generation systems with vector search, document processing, and hybrid retrieval.
Natural language wrapper for research command - automatically triggers /research when users ask questions requiring deep research, best practices lookup, or multi-source information gathering