# Improve NestJS Features, Performance, and Reliability

NestJS runtime changes can create latency, security, and deployment failures when teams lack clear contracts and measurements. This skill guides component selection, bottleneck diagnosis, and reliable implementation using repository evidence and focused tests.

## Install

```bash
npx skillstore add amirtaherkhani/nestjs-features-performance
```

## Metadata

- Status: approved
- Slug: amirtaherkhani-nestjs-features-performance
- Version: 1.3.2
- Author version: 1.3.2
- Skillstore revision: r1
- Version status: valid
- Tree hash: f5fe76e1b6d7118942481bf55ff1d230b9a3a6a9c5be6998ce58f5ed64fff989
- Author: amirtaherkhani
- GitHub username: amirtaherkhani
- License: MIT
- Repository: https://github.com/amirtaherkhani/nestjs-skills/tree/b82cdf0312e1c1bcaf871bb67473e91b2a1befad/skills/nestjs-features-performance
- Ref: c97a1862d1bc82763903ee068cd15acab35d638c
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: network, env\_access, scripts, external\_commands
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/amirtaherkhani-nestjs-features-performance
- Manifest: https://skillstore.pages.dev/api/skills/amirtaherkhani-nestjs-features-performance/manifest

## Capabilities

- Guides placement of validation, authorization, timing, and error mapping in pipes, guards, interceptors, and exception filters.
- Defines stable application failures and maps them independently across HTTP, GraphQL, RPC, gRPC, WebSocket, and worker boundaries.
- Structures performance diagnosis around latency percentiles, event-loop delay, database queries, memory, external calls, and representative workloads.
- Guides queue idempotency, bounded retries, cancellation, backpressure, cache safety, and graceful shutdown.
- Provides security and testing checklists for tenant authorization, input bounds, response allow-lists, and secret redaction.
- Guides immutable artifact delivery, Kubernetes probes, autoscaling, SLO-based observability, rollout verification, and recovery planning.

## Use Cases

- Implement a Secure Endpoint: Choose lifecycle components for validation, authorization, response shaping, and stable errors, then define boundary tests.
- Diagnose Service Latency: Compare traces and resource metrics to identify a dominant bottleneck and design a repeatable optimization experiment.
- Prepare a Reliable Release: Review artifact identity, probes, migrations, worker drain, telemetry, and recovery controls before a consequential deployment.

## Prompt Templates

### Beginner: Choose Lifecycle Components

```
Review this NestJS endpoint and recommend where validation, authorization, timing, and error mapping belong. Explain binding scope and propose focused tests.
```

### Intermediate: Diagnose Latency

```
Our NestJS endpoint has p95 latency of 1.8 seconds. Identify the smallest missing measurements and propose one controlled experiment with correctness checks.
```

### Advanced: Repair Error Contracts

```
Review error handling for our HTTP, GraphQL, and queue entry points. Define transport-neutral failure categories, safe mappings, logging ownership, and contract tests. Preserve existing client compatibility.
```

### Expert: Plan a Safe Rollout

```
Assess a rolling Kubernetes release for our NestJS payment worker using the supplied manifests, telemetry, and job contract. Define idempotency, retry budgets, drain deadlines, success signals, and recovery steps. Do not mutate production.
```

## Limitations

- Targets NestJS services, not frontend-only performance or unrelated backend frameworks.
- Contains guidance and evaluation scenarios, not a bundled profiler, benchmark runner, or deployment tool.
- Requires repository access, installed version checks, and representative measurements to justify specific runtime changes.
- Cannot guarantee performance gains or production readiness without executed tests, live evidence, and authorized environment access.

## Best Practices

- Read repository conventions and installed versions before choosing framework APIs or deployment controls.
- Measure a representative baseline and change one limiting factor before claiming an improvement.
- Verify contracts, sensitive-data absence, bounded resources, shutdown behavior, and recovery paths at the appropriate test boundaries.

## Anti Patterns

- Adding Redis, Fastify, worker threads, or service boundaries without evidence of the limiting resource.
- Retrying uncertain writes without idempotency, reconciliation, classification, and a total deadline.
- Treating source configuration, passing unit tests, or a successful build as proof of production safety.

## Security Audit

- Audited at: 2026-10-04T20:43:16.125\+00:00
- Summary: All 51 static findings are false positives from Markdown formatting, defensive engineering advice, evaluation scenarios, example URLs, or official documentation links. No evidence found of prompt injection, credential exfiltration, unauthorized reconnaissance, or executable payloads in the reviewed skill files. The guidance requires authorization, measured evidence, secret redaction, and isolated testing before consequential runtime changes.

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