explore is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Quick, interactive data exploration without the full pipeline. Use this skill whenever a user wants to explore data, understand what's in a dataset, browse tables or columns, check data distributions, spot patterns, or get familiar with data before analysis. Trigger on phrases like "/explore", "let me explore the data", "what's in this dataset?", "show me what data we have", "browse the data", "what tables are available?", "what columns does X have?", "show me a sample of the data", "what does t.
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
# Skill: Explore Data
## Purpose
Quick, interactive data exploration without the full pipeline. Lets users
poke around the active dataset — preview tables, check distributions, spot
patterns, and form hypotheses before committing to a formal analysis.
## When to Use
- User says `/explore` or "let me explore the data" or "what's in this dataset?"
- After connecting a new dataset, before any formal analysis
- When the user wants to understand data shape without a specific question
## Invocation
`/explore` — explore the active dataset
`/explore {table}` — focus on a specific table
`/explore {table} {column}` — deep-dive into a specific column
## Instructions
### Step 1: Load Context (with Fallback)
**Try to load formal context first:**
1. Check if `.knowledge/active.yaml` exists
2. If yes, read it to identify the active dataset name
3. Read `.knowledge/datasets/{active}/schema.md` for table/column reference
4. Read `.knowledge/datasets/{active}/quirks.md` for known gotchas
**If .knowledge/ files don't exist (common for new users), fall back:**
1. Look for data in these locations (in order):
- `data/examples/*.csv` (shared example datasets)
…
Pin 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.
GET https://markdownregistry.com/api/v1/artifacts/art_45irimare65ubf6q
GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/explore
GET https://markdownregistry.com/api/v1/blob/661cca13ef81a061df9a2e8c557129e2841ffd0789700c4f2e78e5bc4c7af0da
Your agent 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.
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