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.
Granola MCP integration with managed authentication. Use this skill when users want to search meeting content, get meeting summaries, find action items, or retrieve transcripts from Granola via MCP. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).
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 byungkyu/granola-apiInspect 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.
Access Granola via MCP (Model Context Protocol) with managed authentication.
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'query': 'What action items came from my last meeting?'}).encode()
req = urllib.request.Request('https://gateway.maton.ai/granola/query_granola_meetings', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
https://gateway.maton.ai/granola/{tool-name}
Replace {tool-name} with the MCP tool name (e.g., query_granola_meetings). The gateway proxies requests to mcp.granola.ai and automatically injects your credentials.
All requests require the Maton API key:
Authorization: Bearer $MATON_API_KEY
Environment Variable: Set your API key as MATON_API_KEY:
export MATON_API_KEY="YOUR_API_KEY"
Manage your Granola MCP connections at https://ctrl.maton.ai.
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://ctrl.maton.ai/connections?app=granola&method=MCP&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'granola', 'method': 'MCP'}).encode()
req = urllib.request.Request('https://ctrl.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(ur...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Granola MCP
Access Granola via MCP (Model Context Protocol) with managed authentication.
## Quick Start
```bash
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'query': 'What action items came from my last meeting?'}).encode()
req = urllib.request.Request('https://gateway.maton.ai/granola/query_granola_meetings', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
```
## Base URL
```
https://gateway.maton.ai/granola/{tool-name}
```
Replace `{tool-name}` with the MCP tool name (e.g., `query_granola_meetings`). The gateway proxies requests to `mcp.granola.ai` and automatically injects your credentials.
## Authentication
All requests require the Maton API key:
```
Authorization: Bearer $MATON_API_KEY
```
**Environment Variable:** Set your API key as `MATON_API_KEY`:
```bash
export MATON_API_KEY="YOUR_API_KEY"
```
### Getting Your API Key
1. Sign in or create an account at [maton.ai](https://maton.ai)
2. Go to [maton.ai/settings](https://maton.ai/settings)
3. Copy your API key
## Connection Management
Manage your Granola MCP connections at `https://ctrl.maton.ai`.
### List Connections
```bash
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://ctrl.maton.ai/connections?app=granola&method=MCP&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
```
### Create Connection
```bash
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'granola', 'method': 'MCP'}).encode()
req = urllib.request.Request('https://ctrl.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(ur...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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