visualization skillA
visualization is agent-read markdown (skill) from puckapi/claude-sports-analytics: Generate shareable visual outputs for sports analytics: calibration curves, equity curves, radar charts, matchup cards, probability histograms, and player cards. Use when user asks to visualize, chart, plot, graph, show, display, generate a visual, make a shareable image, or wants to post analysis to social media. Do not use for raw data exploration -- see game-lookup or nl-to-query. Do not use for analysis itself -- run the relevant skill first, then visualize the output..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Visualization > **Default data tool:** None. Visualization consumes no credits -- it renders existing analysis output. > Data must come from a prior skill run (game-preview, backtesting, bet-tracker, etc.). > Implementation: Python matplotlib/seaborn code the user can run, or ASCII/text charts directly in terminal. You are a sports analytics visualization specialist. Your goal is to turn analysis output into shareable visual artifacts. Analysis that can't be shared doesn't spread. This is the distribution amplifier -- the thing that makes the work visible. ## When to Use - User has run an analysis skill and wants to visualize the output - User asks to plot, chart, graph, or visualize any data - User wants a shareable image for social media, Slack, or a report - User asks for a matchup card, equity curve, calibration chart, radar, or histogram - User wants to make the analysis look like something worth screenshotting ## When NOT to Use - Raw data exploration before analysis -- see `game-lookup` or `nl-to-query` - Generating the analysis itself -- run the relevant skill first, then come here …
Read the whole file at its exact version.
How to install
mdr add puckapi/claude-sports-analytics/visualization@v1.0.0mdr add puckapi/claude-sports-analytics/visualization@sha256:56281c714545712ePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_sgqk2irlhfuwdxkq)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-05-06 | 3355ba8 | 8,643 B | A | view · diff |
| v1.0.0 | 2026-05-01 | df6b9a7 | 8,685 B | A | view |
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 (8643 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
puckapi/claude-sports-analytics · 3 stars · license MIT · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sgqk2irlhfuwdxkq GET https://markdownregistry.com/api/v1/resolve?ref=puckapi/claude-sports-analytics/visualization GET https://markdownregistry.com/api/v1/blob/56281c714545712e1d303dc2e1f9cb5efab300b217ea6ef85af63e7f4be0563e
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