aggregate-logs
Generate LEARNINGS.md from skill execution logs over a configurable time window.
Run a multi-source research session searching GitHub, HN, Lobsters, Reddit, arXiv, and Semantic Scholar. Use for multi-channel topic surveys.
> /plugin marketplace add athola/claude-night-marketHow it fires
How this command gets triggered: by you, by Claude, or both.
/researchContext preview
What this command does when you run it.
Run a multi-source research session searching GitHub, HN, Lobsters, Reddit, arXiv, and Semantic Scholar. Use for multi-channel topic surveys.
name: research description: 'Run a multi-source research session searching GitHub, HN, Lobsters, Reddit, arXiv, and Semantic Scholar. Use for multi-channel topic surveys.' usage: >- /tome:research "<topic>" [--format report|brief|transcript] [--resume] [--list] [--domain <override>]
Start an autonomous multi-source research session.
# Full research session /tome:research "async python patterns" # Choose output format /tome:research "cache eviction policies" --format brief # Resume most recent session /tome:research --resume # List saved sessions /tome:research --list # Override domain classification /tome:research "raft consensus" --domain architecture
1. Topic is classified into a domain (algorithm, ui-ux, architecture, etc.) 2. Research channels are selected based on domain 3. Parallel agents search each channel autonomously 4. Findings are merged, deduplicated, and ranked 5. A formatted report is generated and saved 6. You can refine results with `/tome:dig`
Invoke the research skill:
Skill(tome:research)
Pass the topic, format flag, and any overrides.
Reports are saved to `docs/research/{session}-{topic}.md`.
A plugin marketplace for Claude Code. Install only the plugins you need to run git workflows, code review, spec-driven development, and autonomous agents from inside your Claude Code session.
Generate LEARNINGS.md from skill execution logs over a configurable time window.
Analyze skill file complexity metrics and generate modularization recommendations for splitting or progressive loading.
Scaffold new Claude Code skills with brainstorming, TDD methodology, and proper frontmatter and module structure.