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Get Started Free →基金经理Skill - 提供基金经理业绩排行、任期统计、在管基金查询 via AkShare
.claude/skills/aifinlab-akshare-manager/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-18 | ✗→✓ | ▲ Improved | -23% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -5% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 13% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -36% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 4% | 0% |
| 属性 | 内容 | |:---|:---| | 名称 | akshare-manager | | 版本 | 1.1.0 | | 分类 | 基金经理 | | 状态 | ✅ 已上线 | | 维护者 | FinClaw Core Team | | 最后更新 | 2026-03-19 |
基金经理Skill，提供基金经理业绩排行、任期统计、在管基金查询、换手率分析等功能。追踪明星基金经理动向。
| 用户输入 | 识别意图 | 调用函数 | |:---|:---|:---| | 基金经理排行 | manager_rank | manager_rank.py --period 1y | | 张坤管理的基金 | manager_funds | manager_funds.py --name 张坤 | | 基金经理详情 | manager_detail | manager_detail.py --name 刘彦春 |
| 数据类型 | 主要来源 | 备用来源 | 认证要求 | |:---|:---|:---|:---:| | 基金经理 | AkShare | - | 无需 |
| 基金经理 | 代表基金 | 投资风格 | |:---|:---|:---| | 张坤 | 易方达蓝筹精选 | 价值投资、重仓消费 | | 刘彦春 | 景顺长城新兴成长 | 消费成长 | | 葛兰 | 中欧医疗健康 | 医药专业 | | 朱少醒 | 富国天惠成长 | 长期持有 | | 谢治宇 | 兴全合润 | 均衡配置 | | 傅鹏博 | 睿远成长价值 | 成长价值 |
bash python scripts/manager_rank.py --period 1y
bash python scripts/manager_detail.py --name 张坤
bash python scripts/manager_funds.py --name 刘彦春
| 脚本名 | 功能 | 入口点 | |:---|:---|:---:| | manager_rank.py | 经理排行 | ✅ | | manager_detail.py | 经理详情 | ✅ | | manager_funds.py | 在管基金 | ✅ |
markdown--- 📊 **数据来源**: AkShare ⏱️ **数据时间**: 2026-03-19 📌 **基金经理**: 张坤 🔗 **原始来源**: 基金业协会 🔧 **分析工具**: FinClaw v1.0
akshare>=1.10.0
pandas>=1.3.0
pyyaml>=5.4.0| 版本 | 日期 | 变更内容 | |:---|:---:|:---| | 1.1.0 | 2026-03-19 | 符合FinClaw数据规范v1.0，新增明星经理 | | 1.0.0 | 2026-03-13 | 初始版本 |
本Skill遵循 FinClaw 数据规范 v1.0 | 数据来源强制标注 | 禁止训练数据编造
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-17 | pass→pass | 8,914 | 2,542 | -71% | 1 | 1 | 0% | 1,393 | 1,389 | -0% | 0 | 0 | — |
case-18 | fail→pass | 16,224 | 4,175 | -74% | 1 | 1 | 0% | 2,298 | 1,769 | -23% | 0 | 0 | — |
case-07 | fail→pass | 11,313 | 4,235 | -63% | 1 | 1 | 0% | 1,801 | 1,713 | -5% | 0 | 0 | — |
case-12 | pass→pass | 10,347 | 4,800 | -54% | 1 | 1 | 0% | 1,586 | 1,577 | -1% | 0 | 0 | — |
case-13 | pass→pass | 9,609 | 2,605 | -73% | 1 | 1 | 0% | 1,325 | 1,459 | +10% | 0 | 0 | — |
case-14 | pass→pass | 10,298 | 4,369 | -58% | 1 | 1 | 0% | 1,504 | 1,522 | +1% | 0 | 0 | — |
case-15 | fail→pass | 9,912 | 3,183 | -68% | 1 | 1 | 0% | 1,203 | 1,356 | +13% | 0 | 0 | — |
case-06 | fail→pass | 16,742 | 4,008 | -76% | 1 | 1 | 0% | 2,646 | 1,681 | -36% | 0 | 0 | — |
case-04 | fail→fail | 8,918 | 12,779 | +43% | 1 | 1 | 0% | 1,200 | 3,082 | +157% | 0 | 0 | — |
case-05 | fail→pass | 10,359 | 4,000 | -61% | 1 | 1 | 0% | 1,600 | 1,669 | +4% | 0 | 0 | — |
case-01 | fail→fail | 19,083 | 13,444 | -30% | 1 | 1 | 0% | 2,790 | 2,464 | -12% | 0 | 0 | — |
case-02 | fail→fail | 8,337 | 11,225 | +35% | 1 | 1 | 0% | 1,498 | 3,062 | +104% | 0 | 0 | — |
case-03 | fail→fail | 28,544 | 25,620 | -10% | 1 | 1 | 0% | 4,525 | 5,223 | +15% | 0 | 0 | — |
case-08 | fail→pass | 22,976 | 14,661 | -36% | 1 | 1 | 0% | 3,437 | 3,446 | +0% | 0 | 0 | — |
case-09 | fail→pass | 19,937 | 4,469 | -78% | 1 | 1 | 0% | 2,860 | 1,507 | -47% | 0 | 0 | — |
case-10 | fail→pass | 19,599 | 16,004 | -18% | 1 | 1 | 0% | 2,779 | 4,229 | +52% | 0 | 0 | — |
case-11 | fail→pass | 11,917 | 5,573 | -53% | 1 | 1 | 0% | 1,837 | 1,685 | -8% | 0 | 0 | — |
case-16 | fail→pass | 11,053 | 3,143 | -72% | 1 | 1 | 0% | 1,484 | 1,313 | -12% | 0 | 0 | — |
case-19 | pass→pass | 14,373 | 5,303 | -63% | 1 | 1 | 0% | 2,033 | 1,730 | -15% | 0 | 0 | — |
case-20 | fail→pass | 13,644 | 2,751 | -80% | 1 | 1 | 0% | 2,312 | 1,475 | -36% | 0 | 0 | — |
case-21 | fail→pass | 12,555 | 2,997 | -76% | 1 | 1 | 0% | 2,051 | 1,347 | -34% | 0 | 0 | — |
case-22 | fail→pass | 16,926 | 4,499 | -73% | 1 | 1 | 0% | 2,381 | 1,602 | -33% | 0 | 0 | — |
case-23 | fail→fail | 9,472 | 18,290 | +93% | 1 | 1 | 0% | 506 | 3,727 | +637% | 0 | 0 | — |
case-24 | fail→fail | 15,982 | 18,482 | +16% | 1 | 1 | 0% | 2,851 | 4,377 | +54% | 0 | 0 | — |
case-25 | fail→fail | 12,428 | 14,503 | +17% | 1 | 1 | 0% | 1,964 | 3,617 | +84% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 25 cases were attempted, and 24 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +52 percentage points is the difference between those two pass rates over the 24 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.