data-profiling SKILL.md skillA
data-profiling from ai-analyst-lab/ai-analyst is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ai-analyst-lab/ai-analyst/data-profiling@git:20260827.7ff2e25Pins git:20260827.7ff2e25 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ai-analyst-lab/ai-analyst
- Path
.claude/skills/data-profiling/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260827.7ff2e25, committed Aug 27, 2026
- Size
- 9,729 bytes
- Repository stars
- 322
- License
- MIT
Deep-profile the active dataset: distributions, temporal patterns, correlations, completeness gaps, anomalies. Use after connecting a new dataset. Trigger on "profile this data", "deep-profile the dataset", "run a data profile", "check distributions", "find anomalies in the data", "how complete is this data". For a first-contact overview use data-map; for one column use distribution-profiler; for schema use data-inspect.
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
# Skill: Data Profiling ## Purpose Deep-profile the active dataset to understand schema structure, value distributions, temporal patterns, correlations, completeness gaps, and anomalies. Produces a comprehensive profile report that serves as the foundation for analysis planning and data quality assessment. ## When to Use - After connecting a new dataset (post-bootstrap, pre-analysis) - Before the first analysis on any dataset - When explicitly invoked by the user - When the existing profile is stale (check `last_profiled` in manifest.yaml) **DISAMBIGUATION:** this is the DEEP statistical profile (distributions, correlations, anomalies). For cross-table relationships/health and the first-contact "tell me about this data" overview, use `data-map`; for a single column's distribution, use `distribution-profiler`; for a plain schema listing, use `/data` (data-inspect). ## Instructions ### Step 1: Connect and Profile Schema ```python from helpers.data.data_helpers import get_connection_for_profiling from helpers.data.schema_profiler import profile_source # Get connection (auto-detects DuckDB vs CSV from active dataset) conn_info = get_connection_for_profiling() …
Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/data-profiling@sha256:eb4aae24909d4c92The line at the top of this page pins the label git:20260827.7ff2e25, 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_woqvywkx225chjqi)
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Versions
The registry has recorded 1 version of this file, committed on Aug 27, 2026.
Audit of the latest version
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Source
ai-analyst-lab/ai-analyst · 322 stars · license MIT · pushed 2026-09-30 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_woqvywkx225chjqi GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/data-profiling GET https://markdownregistry.com/api/v1/blob/eb4aae24909d4c92bf7becc9ba7964404d70d62a66e61968b3e88ddf02395f06
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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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