# Banana Claude Codex Import

> >

- **Type:** Skill
- **Install:** `agentstack add skill-treydong-banana-skills-banana-claude-codex-import`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [TreyDong](https://agentstack.voostack.com/s/treydong)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [TreyDong](https://github.com/TreyDong)
- **Source:** https://github.com/TreyDong/banana-skills/tree/master/skills/banana-claude-codex-import

## Install

```sh
agentstack add skill-treydong-banana-skills-banana-claude-codex-import
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# banana-claude-codex-import

Import local Claude Code (`~/.claude/`) and Codex (`~/.codex/`) conversation history into OpenClaw's memory system, making past coding work queryable and part of long-term memory.

## When to use this skill

Use this skill when the user:
- Wants to import, migrate, or consolidate Claude Code or Codex sessions
- Asks to "导入" or "migrate" past coding agent conversations
- Wants to make past Claude Code / Codex work searchable in memory
- Needs to rebuild memory from previous coding agent sessions
- Mentions `~/.claude/` or `~/.codex/` session files
- Is reviewing past work and wants to extract key decisions/patterns into memory

## What this skill does

1. **Detect** whether Claude Code and/or Codex data exists locally
2. **Preview** with `--dry-run` to show session count, date range, and sample content
3. **Import** all sessions to `logs/message-archive-raw/`
4. **Generate** memory candidates for distillation into `MEMORY.md`

## Workflow

### Step 1: Dry-run first

Always run with `--dry-run` first to verify data coverage:

```bash
python3 ~/.openclaw/skills/banana-claude-codex-import/scripts/import_conversations.py --dry-run
```

Check:
- Session count (aim for 50+ for Claude Code, 50+ for Codex)
- Date range
- Whether content looks real (not just noise/environment context)

If results look good, proceed.

### Step 2: Full import

```bash
python3 ~/.openclaw/skills/banana-claude-codex-import/scripts/import_conversations.py
```

This writes:
- Session archives → `logs/message-archive-raw/{claude_code,codex}/`
- Memory draft → `memory/YYYY-MM-DD_import_candidates.md`

### Step 3: Distill into MEMORY.md

Read `memory/YYYY-MM-DD_import_candidates.md` and extract high-value content into `MEMORY.md`:

```markdown
## Claude Code / Codex 导入记忆（YYYY-MM）

> N sessions imported from `logs/message-archive-raw/`

### 技术决策
- [key decision 1]
- [key decision 2]

### 项目 / 主题
- [project 1]: [what was done]
- [project 2]: [what was done]

### 工具 & 工作流
- [tool/workflow pattern observed across sessions]
```

## Source data

| Source | Path | Format |
|--------|------|--------|
| Claude Code sessions | `~/.claude/projects/*.jsonl` | JSONL, user/assistant/tool_result entries |
| Claude Code index | `~/.claude/history.jsonl` | sessionId → metadata |
| Codex sessions | `~/.codex/sessions/**/rollout-*.jsonl` | JSONL, session_meta/response_item entries |

## CLI options

```bash
--dry-run              # Preview only, no files written
--source both          # Import both Claude Code and Codex (default)
--source claude_code   # Claude Code only
--source codex         # Codex only
--since YYYY-MM-DD     # Only sessions on or after date
```

## What makes a good memory distillation

After import, the most valuable things to capture in `MEMORY.md`:

1. **Technical decisions** — architecture choices, tools selected/rejected, what failed
2. **Recurring workflows** — patterns in how the user works with coding agents
3. **Project context** — what each project is about, key milestones
4. **Personal preferences** — working style, communication patterns, explicit preferences stated

Avoid: verbatim copying of conversations. Capture the distilled meaning.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [TreyDong](https://github.com/TreyDong)
- **Source:** [TreyDong/banana-skills](https://github.com/TreyDong/banana-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-treydong-banana-skills-banana-claude-codex-import
- Seller: https://agentstack.voostack.com/s/treydong
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.