research-add-items
Add items (research objects) to existing research outline.
Best use case
research-add-items is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Add items (research objects) to existing research outline.
Teams using research-add-items should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/research-add-items/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How research-add-items Compares
| Feature / Agent | research-add-items | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Add items (research objects) to existing research outline.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Research Add Items - Supplement Research Objects
## Trigger
`/research-add-items`
## Workflow
### Step 1: Auto-locate Outline
Find `*/outline.yaml` file in current working directory, auto-read.
### Step 2: Get Supplement Sources in Parallel
Simultaneously:
- **A. Ask user**: What items to supplement? Any specific names?
- **B. Ask if Web Search needed**: Launch agent to search for more items?
### Step 3: Merge and Update
- Append new items to outline.yaml
- Display to user for confirmation
- Avoid duplicates
- Save updated outline
## Output
Updated `{topic}/outline.yaml` file (in-place modification)
## 触发方式
`/research-add-items`
## 执行流程
### Step 1: 自动定位Outline
在当前工作目录查找 `*/outline.yaml` 文件，自动读取。
### Step 2: 并行获取补充来源
同时进行：
- **A. 询问用户**：需要补充哪些items？有具体名称吗？
- **B. 询问是否需要Web Search**：是否启动agent搜索更多items？
### Step 3: 合并更新
- 将新items追加到outline.yaml
- 展示给用户确认
- 避免重复
- 保存更新后的outline
## 输出
更新后的 `{topic}/outline.yaml` 文件（原地修改）Related Skills
wiki-researcher
Conducts multi-turn iterative deep research on specific topics within a codebase with zero tolerance for shallow analysis. Use when the user wants an in-depth investigation, needs to understand how...
research
Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
research-report
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
research-lookup
Look up current research information using Perplexity's Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.
research-grants
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal impl...
research-deep
Read research outline, launch independent agent for each item for deep research. Disable task output.
research-add-fields
Add field definitions to existing research outline.
notion-research-documentation
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
market-research-reports
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.
lead-research-assistant
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
deep-research
当用户要求"调研"、"深度调研"、"帮我研究"、"调研下这个"，或提到需要搜索、整理、汇总指定主题的技术内容时，应使用此技能。