research
Multi-source research across code, discourse, and academic channels.
Profile →npx skills add majiayu000/claude-skill-registry --skill research-athola-claude-night-market --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Research Session Orchestrator Run a full multi-source research session: classify the domain, dispatch parallel agents, synthesize findings, and output a formatted report. ## Workflow ### Step 1: Classify Domain Run the domain classifier on the topic: ```python from tome.scripts.domain_classifier import classify result = classify(topic) # result.domain, result.triz_depth, result.channel_weights ``` If confidence < 0.6, ask the user to confirm or override the domain classification before proceeding. ### Step 2: Plan Research ```python from tome.scripts.research_planner import plan research_plan = plan(result) # research_plan.channels, research_plan.weights, research_plan.triz_depth ``` ### Step 3: Create Session ```python from tome.session import SessionManager mgr = SessionManager(Path.cwd()) session = mgr.create(topic, result.domain, result.triz_depth, research_plan.channels) ``` ### Step 4: Dispatch Agents Launch research agents in parallel using the Agent tool. Use this mapping: | Channel | Agent Type | Prompt Includes | |---------|-----------|-----------------| | code | `tome:code-searcher` | topic | | discourse | `tome:discourse-scanner` | topic, domain, subreddits | | academ
- Workflow
- Step 1: Classify Domain
- Step 2: Plan Research
- Step 3: Create Session
- Step 4: Dispatch Agents
- Step 5: Collect and Synthesize
- Step 6: Generate Output
- Step 7: Present Results
- Error Handling
- Output Format Selection
What does the research skill do?
Multi-source research across code, discourse, and academic channels.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill research-athola-claude-night-market --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.