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).
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 byungkyu/granola-api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。
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...
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。
# 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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