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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install chonknick/chonkie-deepresearchInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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 $(date +%s).
Do NOT poll continuously for status. Instead, set up a cron job to check periodically (every 2-3 minutes):
# Add a cron entry to check research status every 2 minutes
# The cron should run: chdr view <id> --json | python3 -c "import json,sys; d=json.load(sys.stdin); s=d.get('status','unknown'); print(s)"
# and notify you when status is 'completed' or 'failed'
Or simply wait for...
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# Chonkie DeepResearch
Run deep research queries from your agent and get comprehensive reports with citations.
## Setup
Before using, check if `chdr` is installed (`which chdr`). If not:
1. Install: `cargo install chdr`
- If `cargo` isn't available, install Rust first: `curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh`
2. Authenticate: `chdr auth login` (opens browser to get an API key)
- Or set `CHONKIE_API_KEY` environment variable
- Get a key at https://labs.chonkie.ai/settings/api-keys
## Usage
**IMPORTANT: Research takes 2-10 minutes. Always spawn a sub-agent to avoid blocking the main thread.**
### Running research (recommended: sub-agent)
Use `sessions_spawn` to run the research in a sub-agent. The sub-agent handles the long-running query and announces the result when done, so your main agent stays responsive.
```json
{
"tool": "sessions_spawn",
"task": "Run chdr research and save results. Steps:\n1. Run: chdr research --type report --no-stream --json \"<QUERY>\" > /tmp/chdr-research-<TIMESTAMP>.json\n2. Extract ID and title: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d['id']); print(d.get('title','Untitled'))\"\n3. Extract body: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d.get('content',{}).get('body',''))\" > /tmp/chdr-research-<TIMESTAMP>.md\n4. Report back the title, ID, and URL: https://labs.chonkie.ai/research/{id}"
}
```
Replace `<QUERY>` with the research query and `<TIMESTAMP>` with `$(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'
```
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