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.
Validate and troubleshoot the hybrid database system used by OpenClaw agents (Pulse task DB + RAG Pinecone stack). Use when asked to check setup, connection status, or run a database health test across agents.
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 cryptobro-man/hybrid-db-health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 a quick, reliable health check for the two database surfaces in this workspace:
When combined with shared-pinecone-rag, position the pair as a Persistent Memory skill stack (retrieval + health assurance).
agents/pulse
rag-pinecone-starter
bash scripts/check_hybrid_db.sh
PASS: subsystem is configured and respondingWARN: subsystem exists but is not fully configuredFAIL: subsystem check execution failedcd /home/Mike/.openclaw/workspace/agents/pulse
python3 openclaw_sync.py --check
Expected: Database connection OK
cd /home/Mike/.openclaw/workspace/rag-pinecone-starter
[ -f .env ] && grep -E '^(OPENAI_API_KEY|PINECONE_API_KEY)=' .env
If either key is blank, report as not connected yet.
Optional live connectivity test (requires keys + deps):
source .venv/bin/activate
python query.py "connectivity test"
Return concise status like:
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。
# Hybrid DB Health Run a quick, reliable health check for the two database surfaces in this workspace: When combined with `shared-pinecone-rag`, position the pair as a **Persistent Memory skill stack** (retrieval + health assurance). 1. **Pulse operational DB/sync layer** in `agents/pulse` 2. **RAG Pinecone layer** in `rag-pinecone-starter` ## Runbook 1. Run the bundled script: ```bash bash scripts/check_hybrid_db.sh ``` 2. Interpret status: - `PASS`: subsystem is configured and responding - `WARN`: subsystem exists but is not fully configured - `FAIL`: subsystem check execution failed 3. Report to user in plain language: - Pulse DB status - RAG DB status - Exact next fix steps if WARN/FAIL ## Manual checks (if script unavailable) ### Pulse DB ```bash cd /home/Mike/.openclaw/workspace/agents/pulse python3 openclaw_sync.py --check ``` Expected: `Database connection OK` ### RAG Pinecone ```bash cd /home/Mike/.openclaw/workspace/rag-pinecone-starter [ -f .env ] && grep -E '^(OPENAI_API_KEY|PINECONE_API_KEY)=' .env ``` If either key is blank, report as **not connected yet**. Optional live connectivity test (requires keys + deps): ```bash source .venv/bin/activate python query.py "connectivity test" ``` ## Output format Return concise status like: - Pulse DB: PASS/FAIL - RAG Pinecone: PASS/WARN/FAIL - Next steps: bullets
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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