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Agent skill

Nestjs Performance

by HoangNguyen0403 in HoangNguyen0403/agent-skills-standard

Optimize NestJS throughput with Fastify adapter, singleton scope enforcement, compression, and query projections.

MITAuto-check passedBackend & APIs

Install Nestjs Performance

skills CLI
$ npx skills add HoangNguyen0403/agent-skills-standard --skill nestjs-performance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HoangNguyen0403/agent-skills-standard nestjs-performance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nestjs/nestjs-performance .claude/skills/nestjs-performance && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
nestjs-performance
GitHub stars
572
Token cost
~961 tokens
SKILL.md length
382 words
Files
3 (incl. references)
Skills in repo
211
Repo updated
First seen
Licence
MIT

At a glance

Optimize NestJS throughput with Fastify adapter, singleton scope enforcement, compression, and query projections.

  • Works in 5 steps: Switch to Fastify — Replace Express with… → Enable compression — Add Gzip/Brotli… → Audit provider scopes — Ensure no… → …
  • Switching to Fastify
  • SKILL.md covers Priority: P1 (HIGH), Workflow: Performance Audit, Fastify + Compression Setup and Scope & Dependency Injection, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Nestjs Performance is an agent skill from HoangNguyen0403/agent-skills-standard. Optimize NestJS throughput with Fastify adapter, singleton scope enforcement, compression, and query projections. Use when switching to Fastify, diagnosing request-scoped bottlenecks, or profiling API overhead.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `evals/evals.json` and `references/example.md`).

It sits in Backend & APIs. It works with NestJS and Fastify. The repository describes itself as: A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages. The licence is MIT.

When your agent uses it

  • Switching to Fastify
  • Diagnosing request-scoped bottlenecks
  • Profiling API overhead

Example prompts

  • “/nestjs-performance”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Switch to Fastify — Replace Express with FastifyAdapter for ~2x throughput.
  2. Enable compression — Add Gzip/Brotli middleware.
  3. Audit provider scopes — Ensure no unintended REQUEST scope chains.
  4. Add query projections — Use select: [] on all repository queries.
  5. Profile overhead — Benchmark Total Duration, DB Execution, and API Overhead.

What it can do on your machine

Read from SKILL.md and the folder at commit b529c2d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nestjs Performance loads about 961 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 382 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~961
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HoangNguyen0403/agent-skills-standard at commit b529c2d, republished under its MIT licence (© HoangNguyen0403). 382 words, ~961 tokens.

Download SKILL.mdSave it as .claude/skills/nestjs-performance/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
nestjs-performance
description
Optimize NestJS throughput with Fastify adapter, singleton scope enforcement, compression, and query projections. Use when switching to Fastify, diagnosing request-scoped bottlenecks, or profiling API overhead.

Performance Tuning

Priority: P1 (HIGH)

Workflow: Performance Audit

  1. Switch to Fastify — Replace Express with FastifyAdapter for ~2x throughput.
  2. Enable compression — Add Gzip/Brotli middleware.
  3. Audit provider scopes — Ensure no unintended REQUEST scope chains.
  4. Add query projections — Use select: [] on all repository queries.
  5. Profile overhead — Benchmark Total Duration, DB Execution, and API Overhead.

Fastify + Compression Setup

See implementation examples

  • Keep-Alive: Configure http.Agent keep-alive settings to reuse TCP connections for upstream services.

Scope & Dependency Injection

  • Default Scope: Adhere to SINGLETON scope (default).
  • Request Scope: AVOID REQUEST scope unless absolutely necessary.
  • Pro Tip: single request-scoped service makes its entire injection chain request-scoped.
  • Solution: Use Durable Providers (durable: true) for multi-tenancy.
  • Lazy Loading: Use LazyModuleLoader for heavyweight modules (e.g., Admin panels).

Caching Strategy

  • Application Cache: Use @nestjs/cache-manager for computation results.
  • Deep Dive: See Caching & Redis for L1/L2 strategies and Invalidation patterns.
  • HTTP Cache: Set Cache-Control headers for client-side caching (CDN/Browser).
  • Distributed: In microservices, use Redis store, not memory store.

Queues & Async Processing

  • Offloading: Never block HTTP request for long-running tasks (Emails, Reports, webhooks).
  • Tool: Use @nestjs/bull (BullMQ) or RabbitMQ (@nestjs/microservices).
  • Pattern: Producer (Controller) -> Queue -> Consumer (Processor).

Serialization

  • Warning: class-transformer CPU expensive.
  • Optimization: For high-throughput READ endpoints, consider manual mapping or using fast-json-stringify (built-in fastify serialization) instead of interceptors.

Database Tuning

  • Projections: Always use select: [] to fetch only needed columns.
  • N+1: Prevent N+1 queries by using relations carefully or DataLoader for Graph/Field resolvers.
  • Connection Pooling: Configure pool size (e.g., pool: { min: 2, max: 10 }) in config to match DB limits.
Show full SKILL.md (133 more words)Show less

Profiling & Scaling

  • API Overhead vs DB Execution: Use "Execution Bucket" strategy to continuously benchmark Total Duration, DB Execution Time, and API Overhead.
  • Total Baseline: Excellent (< 50ms), Acceptable (< 200ms), Poor (> 500ms). Exception: Authentication routes (e.g. bcrypt/argon2) should take 300-500ms intentionally.
  • DB Execution Baseline: Excellent (< 5ms), Acceptable (< 30ms), Poor (> 100ms - implies missing index or N+1 problem).
  • API Overhead Baseline: Excellent (< 20ms), Poor (> 100ms - implies heavy synchronous processing or serialization blocking Node's event loop).
  • Offloading: Move CPU-heavy tasks (Image processing, Crypto) to worker_threads.
  • Clustering: For non-containerized environments, use ClusterModule to utilize all CPU cores. In K8s, prefer ReplicaSets.

Anti-Patterns

  • No REQUEST scope without evaluation: One REQUEST-scoped provider makes entire chain request-scoped.
  • No CPU tasks in HTTP handler: Offload image/crypto work to worker_threads or BullMQ.
  • No unprojected queries: Always select: [] needed columns to avoid serializing unused data.

© HoangNguyen0403, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/nestjs/nestjs-performance of HoangNguyen0403/agent-skills-standard.

  • SKILL.md
  • evals/evals.json
  • references/example.md

Open the folder on GitHubat commit b529c2d

Compare with similar skills

Nestjs Performance next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Nestjs Performance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nestjs Performance this skillHoangNguyen0403/agent-skills-standard572—~961Automated safety check: PassMIT
Fishjam JS Server SDKsoftware-mansion-labs/skills291—~1.4kAutomated safety check: PassMIT
Sentry Nestjs SDKgetsentry/sentry-for-ai268—~8.7kAutomated safety check: PassApache-2.0
Workflow Initusenotra/notra256—~821Automated safety check: PassAGPL-3.0
Node BackendWrongStack/WrongStack371—~829Automated safety check: PassMIT
Nestjsericrisco/rsc-harness180—~2.9kAutomated safety check: PassMIT

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Works with

Categories

Questions about Nestjs Performance

What does Nestjs Performance do?

Optimize NestJS throughput with Fastify adapter, singleton scope enforcement, compression, and query projections. Nestjs Performance is an agent skill from HoangNguyen0403/agent-skills-standard. Optimize NestJS throughput with Fastify adapter, singleton scope enforcement, compression, and query projections.

When should I use Nestjs Performance?

Nestjs Performance fits situations like: switching to Fastify; diagnosing request-scoped bottlenecks; profiling API overhead.

How do I install Nestjs Performance in Claude Code?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill nestjs-performance -a claude-code`. Or copy the skill folder (skills/nestjs/nestjs-performance in HoangNguyen0403/agent-skills-standard) into .claude/skills/nestjs-performance in your project. Claude Code loads it when a task matches its description.

How do I install Nestjs Performance in Codex?

Run `npx skills add HoangNguyen0403/agent-skills-standard --skill nestjs-performance -a codex`. Or copy the skill folder (skills/nestjs/nestjs-performance in HoangNguyen0403/agent-skills-standard) into .agents/skills/nestjs-performance in your project. Codex loads it when a task matches its description.

Can I use Nestjs Performance in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HoangNguyen0403/agent-skills-standard --skill nestjs-performance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nestjs-performance, .gemini/skills/nestjs-performance, .github/skills/nestjs-performance and .opencode/skills/nestjs-performance in your project.

What does Nestjs Performance need to run?

SKILL.md names no scripts, command-line tools or credentials: Nestjs Performance is instructions for the agent only.

Does Nestjs Performance access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nestjs Performance safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Nestjs Performance use?

Nestjs Performance is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nestjs Performance use?

About 961 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 108 tokens, read only when the agent opens those files.

What are the alternatives to Nestjs Performance?

Skills that share tags, products or a category with Nestjs Performance: Fishjam JS Server SDK (software-mansion-labs/skills, 291 stars), Sentry Nestjs SDK (getsentry/sentry-for-ai, 268 stars), Workflow Init (usenotra/notra, 256 stars) and Node Backend (WrongStack/WrongStack, 371 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nestjs Performance?

HoangNguyen0403 (a GitHub user) maintains it in HoangNguyen0403/agent-skills-standard, which has 572 GitHub stars. The repository holds 211 skills in this directory. The repository was last updated on October 9, 2026.

Source: HoangNguyen0403/agent-skills-standard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.