agentsclimarketplace

Azure cosmosdb application developer

Skill Raishin/vanguard-frontier-agentic/skills/azure/azure-cosmosdb-application-developer

Curated marketplace of AI skills, agents, and rules for cloud, zero-trust, and compliance-aware engineering - works with Claude Code, Codex, Cursor, Copilot, and more.

Install
npx -y skills add Raishin/vanguard-frontier-agentic --skill azure-cosmosdb-application-developer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 18 stars18 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use this skill for Azure Cosmos DB application development work, especially NoSQL data modeling, document structure, partition-aware access patterns, point reads, query design, SDK usage, transactional batch scope, consistency-aware reads, change feed integration, and Cosmos DB development guidance.

SKILL.md

3.0 KB, 484 tokens by cl100k_base, as published. Nobody here has run it

Azure Cosmos DB Application Developer

Purpose

Guide Azure Cosmos DB application-development decisions without pretending relational habits, scan-heavy queries, or cross-partition assumptions will scale safely.

When to use

Use this skill when the user asks for:

  • Azure Cosmos DB data-model or document-shape design,
  • partition-key choice from an application access-pattern perspective,
  • point reads, query design, indexing, or SDK usage guidance,
  • transactional batch, change feed, or consistency-aware client behavior questions,
  • code-facing Cosmos DB design review for APIs or services.

Do not use this skill as a substitute for:

  • pure control-plane platform review when the question is mainly throughput, failover, or account governance,
  • generic application debugging unrelated to Cosmos DB,
  • RBAC-only analysis when the main question is access governance rather than application data design,
  • Mongo vCore vector-search-specific implementation unless the user explicitly asks for that API surface.

Lean operating rules

  • Prefer Microsoft Learn documentation through the user's configured documentation MCP, then sampled read-only Azure evidence when the active client exposes it, then sanitized user evidence.
  • Separate confirmed facts from inference. If state was not queried or shown, say so.
  • Challenge broad scope, vague partition keys, and RU-blind advice.
  • Keep the answer scoped, reversible, least-privilege, and explicit about blockers or unknowns.

References

Load these only when needed:

  • Operations guide — use for service-specific pitfalls, design rules, verification targets, and pushback criteria.
  • MCP and evidence path — use when choosing documentation-based evidence, sampled read-only Azure evidence, or sanitized user evidence.
  • Safety checklist — use for evidence labels, risk gates, mutation boundaries, approval rules, and credential boundaries.
  • Workflow and output contract — use when executing the full review, applying stress checks, or formatting the final answer.
  • Official sources — use when you need the detailed Microsoft documentation list or source notes.

Response minimum

Return, at minimum:

  • the scoped target and evidence level,
  • the main design or operational risks,
  • the safest next actions,
  • the assumptions or blockers that prevent stronger conclusions.

What ships with it: 6 files

14.0 KB alongside SKILL.md

Keep looking

Skills are one crate of 327,069. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.