analysis-pipeline
Reverse engineering - multi-source product intelligence analysis with provenance tracking. Master methodology for all analysis agents.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Reverse engineering - multi-source product intelligence analysis with provenance tracking. Master methodology for all analysis agents.
Layer 1 intelligence source discovery - auto-detect available sources, search for public information, negotiate with user, produce inventory manifest
Use when an external event thesis needs market confirmation before commitment.
Use Clay's AI research agent (Claygent) for web research, custom data extraction, and information that does not exist in standard databases. Use when the user asks about Claygent, AI research in Clay, web browsing for data, custom data points, real-time company research, or scraping with AI. Triggers on "Claygent", "AI research", "Clay AI agent", "web research in Clay", "browse web", "research agent", "custom data points", "scrape with AI". Do NOT use for standard enrichments available via providers, Clayscript formulas, or general AI text generation without web research.
Layer 1 skill for community intelligence gathering. Search channels, extraction methodology, consensus analysis, version-aware behavioral changes, structural contamination guard. Loaded by the analyzer agent for community intelligence gathering.
Find related entries to a seed file, build reading lists, and surface neighbour clusters Marginalia has discovered automatically. Use when the user is browsing rather than asking a specific question.
Public documentation extraction methodology. Search sequence (3 tiers), behavioral claim extraction rules, output structure, termination criteria, and gap analysis. Loaded by the analyzer agent for documentation research.
Layer 2 synthesis methodology. Feature discovery, architecture reverse engineering, API extraction, cross-source synthesis with conflict resolution, module mapping. Transforms raw Layer 1 intelligence into structured synthesis documents. Loaded by the analyzer agent during Layer 2.
Cross-cutting provenance discipline. Citation format, confidence levels, source hierarchy, session capture. Loaded by every analysis agent.
Ask Marginalia a research question, follow the citations it returns, and export the result as a single markdown file or a self-contained zip. Use when the user wants to think with their corpus rather than just look up a file.