Agent skill · Data & Analytics

polymorphic-analytics-instantiation

Instantiate polymorphic analytics for multi-context analysis.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill polymorphic-analytics-instantiation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 0 KB
Bundled scripts: none
Path: skills/analysis/polymorphic-analytics-instantiation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Instructions 1. Initialize polymorphic-analytics-instantiation operational context 2. Execute primary protocol actions 3. Validate results and generate output ## Examples - "Execute polymorphic-analytics-instantiation protocol" - "Run polymorphic analytics instantiation analysis"

What's inside
Steps it walks through
  1. Instructions
  2. Examples
Ships with 1 file
  • metadata.json
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About this skill
What does the polymorphic-analytics-instantiation skill do?

Instantiate polymorphic analytics for multi-context analysis.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill polymorphic-analytics-instantiation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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