tome

Generate a formatted bibliography from the most recent research session's findings.

Interactively refine research results by searching deeper into a specific subtopic or channel. Requires an active research session from /tome:research.

Export research findings to a format compatible with memory-palace's knowledge-intake skill.

Run a multi-source research session on a topic. Searches GitHub, HN, Lobsters, Reddit, arXiv, Semantic Scholar, and applies TRIZ cross-domain analysis. Produces a domain-appropriate report.

Search GitHub for existing implementations of a research topic. Returns structured findings with repo metadata, pattern analysis, and relevance ranking. Lightweight agent scoped to code search only.

Scan community discourse channels (Hacker News, Lobsters, Reddit, tech blogs) for discussions and experience reports about a research topic. Returns findings with scores, key quotes, and contrarian views.

Search academic literature for papers and preprints about a research topic. Uses arXiv, Semantic Scholar, and open-access discovery chains. Can fetch and parse PDFs for key findings extraction.

Apply TRIZ cross-domain analogical reasoning to find solutions from adjacent fields. Identifies technical contradictions, maps to analogous problems in different domains, and searches for cross-domain solutions with explicit bridge mappings.

Search GitHub for existing implementations of a topic. Use when the user wants to find code examples, libraries, or implementation patterns. Standalone or as part of a full research session.

Interactively refine research results by searching deeper into a subtopic or specific channel. Loads the active session and merges new findings into it. Use after a /tome:research session completes to explore areas of interest.

Scan community discussion channels (HN, Lobsters, Reddit, tech blogs) for experience reports and opinions on a topic. Use when the user wants community perspectives on a technology or approach.

Search academic literature via arXiv, Semantic Scholar, and open-access discovery chains. Fetches and parses PDFs for key findings. Use when the user needs academic papers, citations, or formal research on a topic.

Orchestrate a multi-source research session across code, discourse, academic, and TRIZ channels. Classifies the domain, dispatches parallel research agents, synthesizes findings, and generates a formatted report. Use when the user invokes /tome:research or asks to research a topic in depth. Do not use for simple web searches.

Merge, deduplicate, rank, and format research findings from multiple channels into a coherent report. Use after research agents return their results.

Apply TRIZ cross-domain analogical reasoning to find solutions from adjacent fields. Dynamically scales depth from light (1 field) to maximum (5 fields with full contradiction analysis). Use when the user is stuck on a problem or needs fresh perspectives from other domains.

2 hooks across 2 events