google-cloud-solution-agentic-analytics-spark-knowledge-catalog agent skill by google
Discovers requirements and designs a governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark, with metadata governance.
At a glance
| Publisher | Google Official |
|---|---|
| Repository | google/skills (163 listed skills) |
| Category | Data, Analytics and Databases |
| License | Apache-2.0 |
| Last commit | October 16, 2026 (repository) |
| SKILL.md | 302 lines, 2,063 words |
| Bundled files | 5 files, including references, assets or templates |
| Quality score | 85/100 · B Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the badges for this listing |
Before you install
Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: none.
- MCP: SKILL.md mentions an MCP server.
- License: Apache-2.0, an open-source or open-content license.
Install google-cloud-solution-agentic-analytics-spark-knowledge-catalog
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/google/skills/tree/main/skills/cloud/google-cloud-solution-agentic-analytics-spark-knowledge-catalogtmp="$(mktemp -d)"
git clone --depth 1 https://github.com/google/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/cloud/google-cloud-solution-agentic-analytics-spark-knowledge-catalog .claude/skills/
rm -rf "$tmp"python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
--repo google/skills \
--path skills/cloud/google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and Iceberg), establishing metadata governance with Knowledge Catalog aspect types, or grounding agentic IDEs (VS Code, Antigravity) by using the Google Cloud Data Agent Kit. Don't use for provisioning borderless data lakehouse infrastructure (use google-cloud-solution-agentic-ai-borderless-data-lakehouse instead).
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Sections in SKILL.md
- Overview of the workflow
- Phase 1: Requirements discovery and analysis
- Phase 2: Solution architecture
- Ground all generated content
- Task 2.1: Identify Google Cloud products and features required for the workload.
- Task 2.2: Generate an architecture diagram.
- Task 2.3: Generate an architecture description.
- Task 2.4: Generate design recommendations.
- Task 2.5: Generate deployment guidance.
- Phase 3: Solution validation
- Phase 4: Solution packaging and presentation
- Supporting resources
Files in the skill folder
SKILL.mdassets/output-template.mdreferences/design-recommendations.mdreferences/knowledge-catalog-documentation.mdreferences/product-selection-guidance.md
Suede Skill Check: 85/100 · B
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: e86adb9e2b80. Report version 375978f932e0. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Example request: 0 of 3 points. 3 when the description quotes an example request (3–60 characters in quotation marks).
- Description length: 3 of 5 points. 5 for 150–600 characters; 3 for 100–900; 1 for 50–1,024.
- Bundled scripts: 0 of 2 points. 2 when the skill folder ships a scripts/ folder.
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
google-cloud-solution-agentic-analytics-spark-knowledge-catalog passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 3 of 5 |
| Boundary clause | 4 of 4 |
| Example request | 0 of 3 |
| Instruction depth | 7 of 7 |
| Reference files | 3 of 3 |
| Bundled scripts | 0 of 2 |
| Recent maintenance | 9 of 9 |
| Curated-list citations | 3 of 7 |
| Tool permissions declared | 0 of 2 |
| Compatibility declared | 0 of 2 |
Two badges for google-cloud-solution-agentic-analytics-spark-knowledge-catalog
Choose the numeric badge, the letter badge, or both. Each links to this skill’s Suede listing; either valid linked badge can qualify for the feature offer.
[](https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-agentic-analytics-spark-knowledge-catalog/)
[](https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-agentic-analytics-spark-knowledge-catalog/)<a href="https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-agentic-analytics-spark-knowledge-catalog/"><img src="https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-agentic-analytics-spark-knowledge-catalog/score.svg" alt="Suede Skill Check: 85/100" width="160" height="175"></a>
<a href="https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-agentic-analytics-spark-knowledge-catalog/"><img src="https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-agentic-analytics-spark-knowledge-catalog/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: display either the numeric or letter badge in your repository or skill README (both also qualify), then request badge verification. Eligible skills scoring 80–99 can receive a featured placement after Suede verifies at least one valid badge linked to the skill’s listing. Suede has not announced an end date.
Where this skill is cited
google/skills appears in 2 curated lists: VoltAgent/awesome-agent-skills, skillmatic-ai/awesome-agent-skills.