google-cloud-solution-rag-enterprise-search-gke-sqldb agent skill by google
Generates architecture, design, and deployment guidance for a RAG-capable enterprise search system on Google Cloud, using a vector-enabled SQL database and Kubernetes containers.
At a glance
| Publisher | Google Official |
|---|---|
| Repository | google/skills (163 listed skills) |
| Category | AI Agents and LLM Engineering |
| License | Apache-2.0 |
| Last commit | October 16, 2026 (repository) |
| SKILL.md | 288 lines, 2,003 words |
| Bundled files | 5 files, including references, assets or templates |
| Quality score | 87/100 · 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-rag-enterprise-search-gke-sqldb
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-rag-enterprise-search-gke-sqldb
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/google/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/cloud/google-cloud-solution-rag-enterprise-search-gke-sqldb .claude/skills/
rm -rf "$tmp"
python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
--repo google/skills \
--path skills/cloud/google-cloud-solution-rag-enterprise-search-gke-sqldb
google/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.
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
- 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 references
Files in the skill folder
SKILL.mdassets/output-template.mdreferences/design-recommendations.mdreferences/product-selection-recommendations.mdreferences/related-documentation.md
Suede Skill Check: 87/100 · 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 cb4624babea6. 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).
- Bundled scripts: 0 of 2 points. 2 when the skill folder ships a scripts/ folder.
- Tool permissions declared: 0 of 2 points. 2 when the frontmatter declares allowed-tools.
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-rag-enterprise-search-gke-sqldb 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 | 5 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-rag-enterprise-search-gke-sqldb
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-rag-enterprise-search-gke-sqldb/)
[](https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-rag-enterprise-search-gke-sqldb/)<a href="https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-rag-enterprise-search-gke-sqldb/"><img src="https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-rag-enterprise-search-gke-sqldb/score.svg" alt="Suede Skill Check: 87/100" width="160" height="175"></a>
<a href="https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-rag-enterprise-search-gke-sqldb/"><img src="https://skills.suedeai.ai/directory/google/skills/google-cloud-solution-rag-enterprise-search-gke-sqldb/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.