npx skills add majiayu000/claude-skill-registry --skill research-add-fields-weizhena-deep-research-skills-4 --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 Add Fields - Supplement Research Fields ## Trigger `/research-add-fields` ## Workflow ### Step 1: Auto-locate Fields File Find `*/fields.yaml` file in current working directory, auto-read existing fields definitions. ### Step 2: Get Supplement Source Ask user to choose: - **A. User direct input**: User provides field names and descriptions - **B. Web Search**: Launch agent to search common fields in this domain ### Step 3: Display and Confirm - Display suggested new fields list - User confirms which fields to add - User specifies field category and detail_level ### Step 4: Save Update Append confirmed fields to fields.yaml, save file. ## Output Updated `{topic}/fields.yaml` file (in-place modification, requires user confirmation)
- Trigger
- Workflow
- Step 1: Auto-locate Fields File
- Step 2: Get Supplement Source
- Step 3: Display and Confirm
- Step 4: Save Update
- Output
What does the research-add-fields skill do?
Add field definitions to existing research outline.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill research-add-fields-weizhena-deep-research-skills-4 --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.