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Review the Skillstore skill "backend-developer" from https://skillstore.io/skills/zl2023github-backend-developer.md and its manifest at https://skillstore.io/api/skills/zl2023github-backend-developer/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.
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All 33 static detections are false positives caused by Markdown formatting, local example URLs, safe device output, or ordinary technical prose. One semantic issue remains: the FastAPI example exposes raw exception details in client responses.
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Design a backend plan for [feature]. Ask about language, framework, database, deployment, data volume, and concurrency before proposing the architecture.
Design an API and data model
Create endpoints and a data model for [workflow]. Include validation, authorization, error responses, indexes, transactions, pagination, and focused tests.
Diagnose a production bottleneck
Analyze [symptoms] using [logs and metrics]. Rank likely causes, propose measurements, identify safe commands, and define rollback criteria before changes.
Review service readiness
Review [service context] for security, performance, reliability, and deployment readiness. Produce prioritized findings, concrete fixes, verification steps, and unresolved risks.
Best Practices
Provide business requirements, expected traffic, data volume, framework, database, and deployment environment.
Review every command and planned change against the target environment before execution.
Verify recommendations with focused tests, query plans, metrics, security checks, and rollback steps.
Avoid
Do not request implementation before defining requirements, scale, data ownership, and failure behavior.
Do not run example commands against production without confirming scope, permissions, impact, and rollback.
Do not expose raw exceptions, secrets, credentials, or sensitive records in logs and responses.
Frequently Asked Questions
Which backend frameworks does this skill support?
The guidance is framework-neutral, with FastAPI examples that can be adapted to Node.js, Java, Go, and other stacks.
Can it design a database schema?
Yes. It can propose models, relationships, indexes, migrations, transaction boundaries, and pagination after receiving domain requirements.
Can it troubleshoot production performance?
Yes. It can structure diagnosis using traces, logs, query plans, pool metrics, profiling, caching, and controlled load tests.
Does it execute deployment commands automatically?
No. The skill provides command references, but execution depends on the active agent, permissions, and explicit user approval.
Does it replace a security review?
No. It supplies security checks, but sensitive systems still require threat modeling, dependency scanning, testing, and qualified review.
What context produces the best result?
Provide the business workflow, stack, schema, traffic, latency goals, infrastructure, security constraints, logs, and relevant code.