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chonkie-deepresearch

Run deep research queries using Chonkie DeepResearch. Returns comprehensive research reports with citations — useful for market analysis, competitive intelligence, technical deep dives, and any research-heavy task.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 chonkie-deepresearch 技能。 若已安装,则直接安装 chonkie-deepresearch 技能。

Overview

Skill Key
chonknick/chonkie-deepresearch
Author
chonknick
Source Repo
openclaw/skills
Version
-
Source Path
skills/chonknick/chonkie-deepresearch
Latest Commit SHA
ca6f91cb7c9ab9d6d0990eb97e667bbde8ca7b73

Extracted Content

SKILL.md excerpt

# Chonkie DeepResearch

Run deep research queries from your agent and get comprehensive reports with citations.

## Setup

Before using, check if `chdr` is installed (`which chdr`). If not:

1. Install: `cargo install chdr`
   - If `cargo` isn't available, install Rust first: `curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh`
2. Authenticate: `chdr auth login` (opens browser to get an API key)
   - Or set `CHONKIE_API_KEY` environment variable
   - Get a key at https://labs.chonkie.ai/settings/api-keys

## Usage

**IMPORTANT: Research takes 2-10 minutes. Always spawn a sub-agent to avoid blocking the main thread.**

### Running research (recommended: sub-agent)

Use `sessions_spawn` to run the research in a sub-agent. The sub-agent handles the long-running query and announces the result when done, so your main agent stays responsive.

```json
{
  "tool": "sessions_spawn",
  "task": "Run chdr research and save results. Steps:\n1. Run: chdr research --type report --no-stream --json \"<QUERY>\" > /tmp/chdr-research-<TIMESTAMP>.json\n2. Extract ID and title: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d['id']); print(d.get('title','Untitled'))\"\n3. Extract body: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d.get('content',{}).get('body',''))\" > /tmp/chdr-research-<TIMESTAMP>.md\n4. Report back the title, ID, and URL: https://labs.chonkie.ai/research/{id}"
}
```

Replace `<QUERY>` with the research query and `<TIMESTAMP>` with `$(date +%s)`.

### Monitoring research status

**Do NOT poll continuously for status.** Instead, set up a cron job to check periodically (every 2-3 minutes):

```bash
# Add a cron entry to check research status every 2 minutes
# The cron should run: chdr view <id> --json | python3 -c "import json,sys; d=json.load(sys.stdin); s=d.get('status','unknown'); print(s)"
# and notify you when status is 'completed' or 'failed'
```

Or simply wait for...

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