fin-viz-launch SKILL.md skillA
fin-viz-launch from csmar432/finai-research is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add csmar432/finai-research/fin-viz-launch@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- csmar432/finai-research
- Path
.agents/skills/fin-viz-launch/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Jul 12, 2026
- Size
- 12,716 bytes
- Repository stars
- 108
- License
- MIT
将用户的研究描述转换为高质量学术图表，自动推荐最佳图表类型并生成matplotlib/seaborn代码，输出≥300 DPI的PDF/SVG/PNG。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# fin-viz-launch
将用户的研究描述转换为高质量学术图表，自动推荐最佳图表类型并生成matplotlib/seaborn代码，输出≥300 DPI的PDF/SVG/PNG。
## 触发条件
- 关键词: `画图` `可视化` `figure` `chart` `plot` `图表` `图表生成` `生成图表` `生成图片`
- Skill语法: `Skill: fin-viz-launch`
- 前置条件: 有可用数据 (DataFrame) 或数据路径
## 三种工作模式
### 模式一：快速模式 (Quick Mode)
通过关键词匹配，无须LLM直接调用预设模板：
```python
from scripts.research_framework import FinancialChartFactory, ChartConfig
factory = FinancialChartFactory(output_dir="figures/")
# 关键词 → 预设映射
# "平行趋势" → parallel_trends
# "安慰剂" → placebo_distribution
# "相关性" → correlation_heatmap
# 直接使用预设
fig = factory.plot("parallel_trends", df,
time_var="year",
treat_var="treat",
y_var="innovation",
save_path="figures/parallel_trends.pdf",
dpi=300,
)
```
### 模式二：LLM模式 (CoDA-Style Pipeline)
描述 → 选择图表类型 → 生成代码 → 执行 → 迭代：
```python
from scripts.research_framework import ChartLLMGenerator
generator = ChartLLMGenerator(
model="deepseek",
output_dir="figures/",
)
# 用户描述
user_description = "显示处理组和对照组在政策前后的创新投入趋势，标注置信区间"
# LLM选择图表类型并生成代码
result = generator.generate(
description=user_description,
data=df,
context={"methodology": "DID", "journal": "经济研究"},
)
# result = {
…Read the whole file at its exact version.
How to install
mdr add csmar432/finai-research/fin-viz-launch@sha256:ae46215145a4e104The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_f77ikfy7r3u5uqjc)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 12, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12716 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
csmar432/finai-research · 108 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f77ikfy7r3u5uqjc GET https://markdownregistry.com/api/v1/resolve?ref=csmar432/finai-research/fin-viz-launch GET https://markdownregistry.com/api/v1/blob/ae46215145a4e104396bd0ad5115c5345b3749006e73fccab2bf48191aa98238
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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