Xiaoman — Data skill for Claude Code
Xiaoman (小满) — a conversation-first, local-first personal finance AI agent · FastAPI + LangGraph + React · data 100% local · MIT.
How to install Xiaoman
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open badhope/xiaoman and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Xiaoman does
Xiaoman (小满) — a conversation-first, local-first personal finance AI agent · FastAPI + LangGraph + React · data 100% local · MIT.
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README
Xiaoman 小满 · Save steadily, prosper in full
**v2 update** — conversation-first redesign + battle-tested open-source stack built in
🆕 **New in v2:**
- 🤖 Multi-agent architecture —
agents/directory: supervisor / bookkeeping / portfolio agents, each with independent prompts and tools - ⚙️ Agent config system — roles / skills / tool toggles, all editable visually in Settings
- 📊 Inline data cards in chat — 4-tile cards embedded directly in the conversation, tap to expand the full data
- 🎯 Chat-first layout (ChatGPT-style) — chat owns the stage; data / tools / previews slide in from the right (non-blocking side-by-side on desktop, fullscreen on mobile); the top-bar "Features" tab opens the same set of panels
- 🔍 Arize Phoenix observability — OpenTelemetry standard, runs in a single local container, no external account needed
- 🧠 mem0 long-term memory — preferences and family context remembered automatically and reused in later conversations
- 📦 Single-file EXE build — double-click to run, no Python / Node install
- ✨ thinking-dots animation — ChatGPT-style three-dot thinking indicator
**One entry, one question** — a conversation-first personal finance assistant · Enterprise-grade multi-user · 100% local data · AI with DeepSeek / Qwen / Claude / OpenAI / Doubao · MIT license
An enterprise-grade, local-first, multi-model personal finance agent.
Data never leaves your machine — AI plugs into DeepSeek, Qwen, Claude, OpenAI, Doubao, all one config away.
「慢慢存 · 小满即富」— Save steadily, prosper in full.
      → LangGraph ReAct
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