caesar-research
Deep research using the Caesar API — run queries, follow up with chat, brainstorm, and manage collections.
Best use case
caesar-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Deep research using the Caesar API — run queries, follow up with chat, brainstorm, and manage collections.
Teams using caesar-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/caesar-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How caesar-research Compares
| Feature / Agent | caesar-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?
Deep research using the Caesar API — run queries, follow up with chat, brainstorm, and manage collections.
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.
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SKILL.md Source
# Caesar Research
CLI for [Caesar](https://www.caesar.org/) deep research. Runs multi-source research jobs with citations, follow-up chat, and brainstorming.
## Setup
```bash
go install github.com/alexrudloff/caesar-cli@latest
export CAESAR_API_KEY=your_key_here
```
## Research
Run a query (waits for completion by default, prints events as they happen):
```bash
caesar research create "What are the latest advances in mRNA vaccines?"
```
Returns JSON with `content` (synthesized answer with `[n]` citations) and a `results` array of sources.
Fire-and-forget:
```bash
caesar research create "query" --no-wait
# Returns: { "id": "uuid", "status": "queued" }
```
Then check on it:
```bash
caesar research get <job-id>
caesar research watch <job-id>
caesar research events <job-id>
```
### Research Options
| Flag | Description |
|------|-------------|
| `--no-wait` | Return immediately with job ID |
| `--model <name>` | `gpt-5.2`, `gemini-3-pro`, `gemini-3-flash`, `claude-opus-4.5` |
| `--loops N` | Max reasoning loops (default 1, higher = deeper research) |
| `--reasoning` | Enable advanced reasoning mode |
| `--auto` | Let Caesar auto-configure based on query |
| `--exclude-social` | Skip social media sources |
| `--exclude-domain x.com` | Exclude specific domains (repeatable) |
| `--system-prompt "..."` | Custom synthesis prompt |
| `--brainstorm <id>` | Use a brainstorm session for context |
### Status Lifecycle
`queued` → `searching` → `summarizing` → `analyzing` → `researching` → `completed` or `failed`
## Chat (Follow-Up Questions)
Ask follow-up questions about a completed research job:
```bash
caesar chat send <job-id> "How does this compare to traditional vaccines?"
```
Waits for the response by default. The answer includes inline `[n]` citations referencing the original research sources.
```bash
caesar chat send <job-id> "question" --wait=false
caesar chat history <job-id>
```
## Brainstorm
Get clarifying questions before research to improve results:
```bash
caesar brainstorm "How does CRISPR gene editing work?"
# Prints questions with multiple-choice options and a session ID
```
Then use the session ID:
```bash
caesar research create --brainstorm <session-id> "How does CRISPR gene editing work?"
```
## Collections
Group files for research context:
```bash
caesar collections create "Dataset Name" --description "Optional description"
```
## Tips
- For broad topics, use `--auto` to let Caesar pick optimal settings.
- Use `--loops 3` or higher for complex multi-faceted questions.
- Use `--reasoning` for questions requiring deep analysis.
- Pipe output through `jq` to extract specific fields: `caesar research get <id> | jq '.content'`
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