data-platform-consumption SKILL.md skillA
data-platform-consumption from aws-samples/sample-aws-solutions-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aws-samples/sample-aws-solutions-skills/data-platform-consumption@git:20260701.7a96ae2Pins git:20260701.7a96ae2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aws-samples/sample-aws-solutions-skills
- Path
data-platform-consumption-skill/claude-code/skills/data-platform-consumption/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260701.7a96ae2, committed Jul 1, 2026
- First version recorded
- Jun 24, 2026
- Size
- 43,315 bytes
- Repository stars
- 14
- License
- MIT-0
Connect existing data sources to Amazon Quick (Quick Sight + chat agents) for visualization and natural language analytics. Works with any queryable data: Glue Catalog, Athena, Redshift, or S3. Sets up dashboards, SPICE caching, and AI-powered chat agents for business users. Triggers: "Quick Sight setup", "dashboard", "Amazon Quick", "data visualization", "BI setup", "chat agent", "natural language analytics", "connect to Quick Sight".
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
# Data Platform Consumption (Amazon Quick)
This skill takes a queryable data source — typically Athena over a Glue Catalog, but optionally Redshift, S3, or RDS — and produces a working consumption layer: a Quick Sight account with datasets in SPICE, dashboards built around the customer's business questions, an Amazon Quick chat agent grounded in a semantic model, and Space-based access control for multi-team isolation. The output is a working CDK TypeScript project plus the topic/dashboard definitions to run it.
The skill is opinionated: it picks SPICE over direct query, pins SPICE refresh to off-peak, requires named synonyms for natural-language matching, and defaults to one Space per team. These can be overridden but the skill will not present them as menu options.
This skill is self-contained: it never assumes any other skill has run. It creates its own IAM role (`{prefix}-quicksight-role`) with minimum required permissions. If another stack already owns a role of the same name (e.g. the pipeline layer created a placeholder), see the import-vs-create handoff in `reference/iam-permissions.md`.
…Read the whole file at its exact version.
How to install
mdr add aws-samples/sample-aws-solutions-skills/data-platform-consumption@sha256:0314bf5d0f6bd137The line at the top of this page pins the label git:20260701.7a96ae2, 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_37l7lpepi3dzndrr)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jun 24, 2026 and Jul 1, 2026, about one every 4 days. Its first recorded version is graded B and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260701.7a96ae2 latest | 2026-07-01 | 7a96ae2 | 43,315 B | A | view · diff |
| git:20260630.2c45edf | 2026-06-30 | 2c45edf | 43,580 B | A | view · diff |
| git:20260624.50dd7db | 2026-06-24 | 50dd7db | 61,315 B | B | 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 (43315 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
aws-samples/sample-aws-solutions-skills · 14 stars · license MIT-0 · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_37l7lpepi3dzndrr GET https://markdownregistry.com/api/v1/resolve?ref=aws-samples/sample-aws-solutions-skills/data-platform-consumption GET https://markdownregistry.com/api/v1/blob/0314bf5d0f6bd13768440a31f9fbaa4687e032d9b4fdbd8cd4a687b7b67900c6
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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