kaimingwan/oh-my-kiro/omk-research
Claude Code and agent skill by kaimingwan/oh-my-kiro
- community
Checking that the SKILL.md file is still in the repository.
Multi-level research: built-in knowledge → web search → Tavily deep research API. Trigger when user says 'research', 'investigate', 'find out', 'compare', 'what is', 'how does X work', 'competitive analysis', 'market research', '@research', or needs information beyond the current codebase and knowledge base.
Install
npx vskill@latest install kaimingwan/oh-my-kiro/omk-researchSKILL.md
Trigger Examples
- "@research AutoMQ vs Confluent 对比"
- "帮我调研一下这个库怎么用"
- "find out how competitors handle this"
- "what's the best practice for X in 2026?"
- "compare these three approaches"
Research Skill — Multi-Level Search
Search Level Strategy
Always use the lowest level that can answer the question:
| Level | Tool | Use Case | Cost | |
|---|---|---|---|---|
| 0 | Built-in knowledge | Common concepts, basics | Free | |
| 1 | web_search | Quick verification, simple queries | Free | |
| 2 | Tavily Research API | Deep research, competitive analysis | API credits |
Rule: If Level 0 or 1 can answer it, don't use Level 2.
Don't need research: Common knowledge, already in knowledge/, answerable from built-in knowledge.
Level 2: Tavily Research API
Prerequisites
Get your API key at https://tavily.com (1000 free credits/month)
Set environment variable:
Or add to your agent config:
Usage
Model Selection
| Model | Use Case | Speed | |
|---|---|---|---|
mini | Single topic, targeted | ~30s | |
pro | Multi-angle, comprehensive | ~60-120s | |
auto | API chooses based on complexity | Varies |
Rule of thumb: "what does X do?" → mini. "X vs Y vs Z" → pro.
Structured Output
Citation Formats
Supported: numbered (default), mla, apa, chicago
Post-Research 沉淀 Checkpoint
After completing research, before writing findings or recommendations:
Socratic validation (mandatory for each recommendation/gap/optimization):
- Does this problem actually exist in the current codebase? Check existing solutions first.
- Is the proposed fix feasible on all target platforms (Kiro + CC)? Check constraints.
- Does the benefit outweigh the maintenance cost?
If any answer is "no" → drop that recommendation. Don't include it in findings.
Then persist:
- Record validated findings in
docs/plans/findings.md(if working on a plan) - If findings reveal reusable patterns → write to
knowledge/episodes.md - Cite sources with URLs — no hallucinated references
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/omk-research/SKILL.md
Popularity
- Repository stars
- 92
- Repository forks
- 14
- 7-day trend score
- 23
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 17 May 2026, 5 months ago.
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