nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install chonknick/chonkie-deepresearch打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Run deep research queries from your agent and get comprehensive reports with citations.
Before using, check if chdr is installed (which chdr). If not:
cargo install chdr
cargo isn't available, install Rust first: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
chdr auth login (opens browser to get an API key)
CHONKIE_API_KEY environment variableIMPORTANT: Research takes 2-10 minutes. Always spawn a sub-agent to avoid blocking the main thread.
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.
{
"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 $(date +%s).
Do NOT poll continuously for status. Instead, set up a cron job to check periodically (every 2-3 minutes):
# Add a cron entry to check research status every 2 minutes
# The cron should run: chdr view <id> --json | python3 -c "import json,sys; d=json.load(sys.stdin); s=d.get('status','unknown'); print(s)"
# and notify you when status is 'completed' or 'failed'
Or simply wait for...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Chonkie DeepResearch
Run deep research queries from your agent and get comprehensive reports with citations.
## Setup
Before using, check if `chdr` is installed (`which chdr`). If not:
1. Install: `cargo install chdr`
- If `cargo` isn't available, install Rust first: `curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh`
2. Authenticate: `chdr auth login` (opens browser to get an API key)
- Or set `CHONKIE_API_KEY` environment variable
- Get a key at https://labs.chonkie.ai/settings/api-keys
## Usage
**IMPORTANT: Research takes 2-10 minutes. Always spawn a sub-agent to avoid blocking the main thread.**
### Running research (recommended: sub-agent)
Use `sessions_spawn` to run the research in a sub-agent. The sub-agent handles the long-running query and announces the result when done, so your main agent stays responsive.
```json
{
"tool": "sessions_spawn",
"task": "Run chdr research and save results. Steps:\n1. Run: chdr research --type report --no-stream --json \"<QUERY>\" > /tmp/chdr-research-<TIMESTAMP>.json\n2. Extract ID and title: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d['id']); print(d.get('title','Untitled'))\"\n3. Extract body: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d.get('content',{}).get('body',''))\" > /tmp/chdr-research-<TIMESTAMP>.md\n4. Report back the title, ID, and URL: https://labs.chonkie.ai/research/{id}"
}
```
Replace `<QUERY>` with the research query and `<TIMESTAMP>` with `$(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...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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