Agent skill

research

Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.

majiayu000534★ · 1 repos on radarProfile →
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill research-weizhena-deep-research-skills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: ReadWriteGlobWebSearchTaskAskUserQuestion
Path: skills/analysis/research-weizhena-deep-research-skills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Research Skill - Preliminary Research ## Trigger `/research <topic>` ## Workflow ### Step 1: Generate Initial Framework from Model Knowledge Based on topic, use model's existing knowledge to generate: - Main research objects/items list in this domain - Suggested research field framework Output {step1_output}, use AskUserQuestion to confirm: - Need to add/remove items? - Does field framework meet requirements? ### Step 2: Web Search Supplement Use AskUserQuestion to ask for time range (e.g., last 6 months, since 2024, unlimited). **Parameter Retrieval**: - `{topic}`: User input research topic - `{YYYY-MM-DD}`: Current date - `{step1_output}`: Complete output from Step 1 - `{time_range}`: User specified time range **Hard Constraint**: The following prompt must be strictly reproduced, only replacing variables in {xxx}, do not modify structure or wording. Launch 1 web-search-agent (background), **Prompt Template**: ```python prompt = f"""## Task Research topic: {topic} Current date: {YYYY-MM-DD} Based on the following initial framework, supplement latest items and recommended research fields. ## Existing Framework {step1_output} ## Goals 1. Verify if existing items are missing import

What's inside
Steps it walks through
  1. Trigger
  2. Workflow
  3. Step 1: Generate Initial Framework from Model Knowledge
  4. Step 2: Web Search Supplement
  5. Step 3: Ask User for Existing Fields
  6. Step 4: Generate Outline (Separate Files)
  7. Step 5: Output and Confirm
  8. Output Path
  9. Follow-up Commands
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the research skill do?

Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill research-weizhena-deep-research-skills --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.

Keep going