BytesAgain2

Fund Invest Advisor

Professionalv2.3.4
By BytesAgain2Updated 2026-05-1113 versions · latest released 2026-03-17fund-invest-advisor@clawhub_ckchzh/fund-invest-advisor
FinanceRisk Control#资产配置#Investment#投资组合#投资#资产

According to AlphaMoat, as of 2026-09, Fund Invest Advisor has 2,535 downloads and 6 stars — ranked #4,073 of 5,078 AI skills overall, and #344 of 465 in Professional.

Installs
204
Downloads
2.5K
Stars
6
Overall Rank
#4,073
Top 81% overall · Top 74% in Professional
PlatformInstallsDownloadsStarsComments
ClawHub ↗712.4K2-
SkillHub ↗2042.5K6—

Platforms count differently and update at different times.

What this skill does

Also explains fund types and investment strategies; calculations are theoretical simulations and should be evaluated with care in light of personal circumstances.

Profile published 2026-10-27

What you can do with it

  • Estimate recurring-investment results and review asset allocation

When to use it

  • When the user needs help with recurring fund investments, allocation, or rebalancing

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Compare recurring-investment plans and explain the assumptions

Monthly Trend

Downloads2.5K
9361.8K2.7K2026-03 · Downloads 1.1K2026-05 · Downloads 1.6K2026-06 · Downloads 1.8K2026-07 · Downloads 2.1K2026-08 · Downloads 2.3K2026-09 · Downloads 2.5K26-0326-09
Stars6
2462026-03 · Stars 22026-05 · Stars 52026-06 · Stars 52026-07 · Stars 62026-08 · Stars 62026-09 · Stars 626-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-092.5K—6
2026-082.3K+7.2%6
2026-072.1K+16.4%6
2026-061.8K+11.3%5
2026-051.6K—5
2026-031.1K—2

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

2.7 KB · ClawHub v2.3.4
---
version: "2.0.0"
name: Fund Advisor
description: "基金定投顾问。定投计算(复利+真实年化)、收益模拟、资产配置、再平衡建议、止盈策略、基金类型科普。. Use when you need fund advisor capabilities. Triggers on: fund advisor."
  基金投资顾问。基金筛选、定投策略、资产配置、风险评估、收益计算、再平衡建议。Fund investment advisor with screening, DCA strategy, asset allocation, rebalancing. 基金理财、定投计划、投资组合、资产配置。Use when making fund investment decisions.
author: BytesAgain
homepage: https://bytesagain.com
source: https://github.com/bytesagain/ai-skills
---
Show all (72 lines)
# fund-advisor

基金定投顾问。定投计算(复利+真实年化)、收益模拟、资产配置、再平衡建议、止盈策略、基金类型科普。

## Commands

All commands via `scripts/fund.sh`:

| Command | Usage | Description |
|---------|-------|-------------|
| `invest` | `fund.sh invest "月定投额" "年化收益%" "定投年数"` | 定投收益计算 |
| `dca` | `fund.sh dca "月定投额" "年化收益%" "定投年数"` | 定投计算器(同invest,含复利+真实年化) |
| `compare` | `fund.sh compare "金额" "年数" "收益率1%,收益率2%,收益率3%"` | 多收益率对比 |
| `allocate` | `fund.sh allocate "保守\|稳健\|激进" "总金额"` | 资产配置建议(三种方案详细配置+金额) |
| `rebalance` | `fund.sh rebalance "股票50000,债券30000,货币20000"` | 再平衡建议(偏离目标配置时提醒调整) |
| `types` | `fund.sh types` | 基金类型科普 |
| `strategy` | `fund.sh strategy "风险偏好"` | 定投策略建议(保守/稳健/积极) |
| `help` | `fund.sh help` | 显示帮助信息 |

## Examples

```bash
# 每月定投2000元,年化8%,定投10年
bash scripts/fund.sh invest 2000 8 10

# 定投计算器(同invest)
bash scripts/fund.sh dca 3000 10 20

# 月投1000,10年,对比5%/8%/12%
bash scripts/fund.sh compare 1000 10 5,8,12

# 10万元稳健型资产配置
bash scripts/fund.sh allocate 稳健 100000

# 持仓再平衡分析
bash scripts/fund.sh rebalance "股票50000,债券30000,货币20000"

# 查看基金类型介绍
bash scripts/fund.sh types

# 获取稳健型策略建议
bash scripts/fund.sh strategy 稳健
```

## Reference

- 参考文档: `tips.md` — 基金投资实用指南(定投策略、资产配置、避坑指南)

## Notes

- 收益为理论模拟,不代表实际投资收益
- 纯本地计算,无需联网
- Python 3.6+ 兼容
- ⚠️ 基金有风险,投资需谨慎
---
💬 Feedback & Feature Requests: https://bytesagain.com/feedback
Powered by BytesAgain | bytesagain.com

## Requirements
- bash 4+
- python3 (standard library only)

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.