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.
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 amor71/session-historyInspect 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.
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
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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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