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.
Search and browse past conversation history across all sessions. Use when recalling prior work, finding old discussions, resuming dropped threads, or when the user references something from a previous conversation that isn't in memory files. Also use when asked to "remember" something discussed before, find "that conversation about X", or continue work from a past session.
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 amor71/session-history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。
Search through past OpenClaw session transcripts (JSONL files in ~/.openclaw/agents/*/sessions/).
# Search for conversations about a topic
python3 scripts/search_sessions.py "gclid pipeline error"
# List recent sessions
python3 scripts/search_sessions.py --list --days 3
# Search specific agent's history
python3 scripts/search_sessions.py "flight monitor" --agent main
# Wider time range
python3 scripts/search_sessions.py "quantum encryption" --days 30 --max-results 5
search_sessions.py with the user's query terms to find relevant sessionssessions_history tool with the sessionKey to pull full context from a matchsessions_history doesn't work (old/closed sessions), read the JSONL file directly with read
memory_search first — it indexes session transcripts toomemory_search for semantic matching, search_sessions.py for keyword/exact matching~/.openclaw/agents/{agent_id}/sessions/{session_uuid}.jsonl
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。
# Session History
Search through past OpenClaw session transcripts (JSONL files in `~/.openclaw/agents/*/sessions/`).
## Quick Reference
```bash
# Search for conversations about a topic
python3 scripts/search_sessions.py "gclid pipeline error"
# List recent sessions
python3 scripts/search_sessions.py --list --days 3
# Search specific agent's history
python3 scripts/search_sessions.py "flight monitor" --agent main
# Wider time range
python3 scripts/search_sessions.py "quantum encryption" --days 30 --max-results 5
```
## Workflow
1. Run `search_sessions.py` with the user's query terms to find relevant sessions
2. Use `sessions_history` tool with the `sessionKey` to pull full context from a match
3. If `sessions_history` doesn't work (old/closed sessions), read the JSONL file directly with `read`
4. Summarize what was found — don't dump raw transcripts
## When to Use
- User says "remember when we discussed X?" or "we talked about Y last week"
- Resuming a thread that isn't captured in memory files
- Finding a decision, code snippet, or error from a past session
- Cross-referencing what was said vs what's in MEMORY.md
## Tips
- Also check `memory_search` first — it indexes session transcripts too
- Combine both: `memory_search` for semantic matching, `search_sessions.py` for keyword/exact matching
- The script searches user AND assistant messages
- JSONL path format: `~/.openclaw/agents/{agent_id}/sessions/{session_uuid}.jsonl`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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