ai-research
Automates AI briefing preparation and technology research. Use for regular updates on AI trends, tools, and models relevant to the job search.
Best use case
ai-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Automates AI briefing preparation and technology research. Use for regular updates on AI trends, tools, and models relevant to the job search.
Teams using ai-research 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/ai-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ai-research Compares
| Feature / Agent | ai-research | 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?
Automates AI briefing preparation and technology research. Use for regular updates on AI trends, tools, and models relevant to the job search.
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
# AI Research and Intelligence <workflow> ## Step 1: Define Research Scope 1. Determine parameters from the user request: - **Topic Scope:** AI models, tools, platforms, trends. - **Time Horizon:** Last 24 hours, 7 days, 30 days. - **Depth:** Quick overview vs. deep analysis. ## Step 2: Data Collection 1. Systematically gather information: - **Models & Research:** New architectures, papers, breakthroughs. - **Tools & Platforms:** Software updates, new features. - **Industry News:** Funding, acquisitions, launches. - **Community:** Hot topics, debates, insights. ## Step 3: Analysis and Synthesis 1. Identify key insights: - What is truly relevant for the Candidate? - Which trends impact the job search? - Which skills are becoming more valuable? 2. Assess relevance: - **High Impact:** Direct impact on career. - **Medium Impact:** Trends worth knowing. - **Low Impact:** Interesting but non-essential. ## Step 4: Briefing Creation 1. Create a structured briefing using the template in `references/templates.md`. 2. Save to: `/04-Application-Tools/AI-Workflows/YYYY-MM-DD-AI-Briefing.md`. ## Step 5: System Integration 1. Update related files: - Add insights to `Candidate-Profile.md` (if relevant). - Update style guides with new terminology. - Connect with active leads and applications. </workflow>
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