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Nodejs Core

CommunityPopular
mcollina
nodejs-core

Contributes to and debugs Node.js core, including nodejs/node commit and PR tone, contribution workflows, native crashes, V8 performance, node-gyp builds, N-API bindings, and libuv issues. Use when drafting or reviewing a Node.js core commit or pull request, working in nodejs/node, or diagnosing C++ addons, binding.gyp failures, segfaults, native leaks, V8 deoptimizations, and event-loop internals.

Overview

Publishermcollina
Repositoryskills
Skill namenodejs-core
Stars
1.9K
Forks
149
Bundled files
29
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 29 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mcollina on GitHub. Read the source before you install it.

Installation

Install the Nodejs Core AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mcollina/skills/tree/main/skills/nodejs-core
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mcollina/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/nodejs-core .claude/skills/nodejs-core
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nodejs Core in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nodejs Core on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nodejs Core is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

When to use

Use this skill when you need deep Node.js internals expertise, including:

  • C++ addon development
  • V8 engine debugging
  • libuv event loop issues
  • Build system problems
  • Compilation failures
  • Performance optimization at the engine level
  • Understanding Node.js core architecture
  • Writing or reviewing nodejs/node commits and pull request descriptions

How to use

Read individual rule files for detailed explanations and code examples:

V8 Engine

libuv

Native Addons

Core Modules Internals

JavaScript Internals

  • rules/primordials.md - Using primordials to prevent prototype pollution (required for lib/internal/)

Build & Contributing

Documentation

  • rules/documentation.md - Updating doc/api/*.md files: structure, link ordering, error docs, code example constraints

Debugging & Profiling

Instructions

Node.js contribution writing

When drafting a nodejs/node commit or pull request, read rules/commit-and-pr-guideline.md. Use terse subsystem-prefixed titles and plain, matter-of-fact prose. Lead with concrete behavior, explain the reason for the change, and omit hype, canned headings, file-by-file narration, and unsupported claims. Include the contributor's DCO sign-off, and never add PR-URL: or Reviewed-By: — those are added when the change lands. Validate the result with npx core-validate-commit --no-validate-metadata <sha> in the nodejs/node checkout.

MANDATORY: Rebuild before testing

Node.js embeds lib/ JavaScript files into the binary at compile time via js2c. After ANY change to src/ or lib/, you MUST rebuild before running tests. Without a rebuild, tests run against stale code and results are meaningless.

edit src/ or lib/  →  make -j$(nproc)  →  make lint  →  then test

Never skip the rebuild step. Never run ./node test/... after editing without building first.

Before starting work, ask the user about their build configuration (Make vs Ninja, debug vs release, what configure flags they use). Do not assume a specific setup. Most of the time, ./configure has already been run and only make -j$(nproc) is needed to rebuild.

MANDATORY: Lint and format before every commit

Node.js runs a Linters CI workflow on every non-draft pull request, and on Unix make test runs no linters. Run make lint before each git commit — plus make format-cpp for C++ changes — so the lint jobs pass on the first CI run instead of costing a force-push and another full cycle.

bash
make -j$(nproc)                                        # rebuild first
make lint                                              # JS, C++, MD, docs, YAML

# C++ changes only — use the merge-base form, which is what CI checks:
CLANG_FORMAT_START="$(git merge-base HEAD upstream/main)" make format-cpp
git --no-pager diff --exit-code                        # must be empty

git add -A && git commit -s                            # -s is mandatory
npx core-validate-commit --no-validate-metadata HEAD

Never skip a step because the change looks trivial, and never commit with "will fix lint in a follow-up".

Bare make format-cpp is not enough. It defaults to CLANG_FORMAT_START=HEAD and formats only staged changes, while the format-cpp CI job formats everything from the merge base and fails on any resulting diff — so unformatted code committed earlier in the branch passes locally and fails in CI. Always pass the merge-base form shown above.

Every commit must be created with git commit -s. The -s flag adds the Signed-off-by: trailer certifying the Developer Certificate of Origin. Without it the signed-off-by rule of core-validate-commit fails and the PR cannot land. The sign-off must be the human contributor's name and email — never sign off with a tool or AI identity, and never fabricate someone else's. If you forget it, amend with git commit --amend --signoff.

make lint runs lint-js, lint-cpp, lint-addon-docs, lint-md, and lint-yaml — it does not cover every CI lint job. Python (make lint-py), shell (tools/lint-sh.mjs .), C++ formatting, and commit-message validation are separate jobs. See rules/pre-commit-lint.md for the full gate and the CI-job-to-command mapping.

Validate every commit message with core-validate-commit, always with --no-validate-metadata — metadata validation is on by default and enforces trailers that only exist after landing. Never add PR-URL: or Reviewed-By: to a commit you author; the landing process adds them.

See rules/build-and-test-workflow.md for the full workflow including configure flags, lint targets, and test commands.

Core knowledge domains

Apply deep knowledge of Node.js internals across these domains:

  • Core architecture: Node.js core modules and their C++ implementations, V8 GC and JIT, libuv event loop mechanics, thread pool behavior, startup/module-loading lifecycle
  • Native development: N-API, node-addon-api, and NAN addon development; V8 C++ API handle management; memory safety; native debugging with gdb/lldb
  • Build systems: node-gyp, gyp, ninja, make; cross-platform compilation; linker errors; dependency issues; platform-specific considerations (Windows, macOS, Linux, embedded)
  • Performance & debugging: Event loop profiling, memory leak detection in JS and native code, CPU flame graphs, V8 optimization/deoptimization tracing

Quick-reference debugging commands

V8 optimization tracing:

bash
node --trace-opt --trace-deopt script.js
# Checkpoint: confirm no unexpected deoptimization warnings before proceeding to profiling
node --prof script.js && node --prof-process isolate-*.log > processed.txt

Event loop lag detection:

bash
node --trace-event-categories v8,node,node.async_hooks script.js

Native addon debugging (gdb):

bash
gdb --args node --napi-modules ./build/Release/addon.node
# Inside gdb:
run
bt        # backtrace on crash
# Checkpoint: verify backtrace shows the expected call site before applying a fix

Heap snapshot for memory leaks:

bash
node --inspect script.js   # then open chrome://inspect, take heap snapshot
# Checkpoint: compare two consecutive heap snapshots to confirm leak growth before and after the fix; run valgrind --leak-check=full node addon_test.js to confirm no native leaks remain

Node.js-specific diagnostic decision trees

Segfault / crash in native addon:

  1. Is the crash reproducible with node --napi-modules? → Run gdb, capture bt
  2. Does bt point to a V8 handle scope issue? → Check HandleScope / EscapableHandleScope usage in the addon
  3. Does it point to a libuv callback? → Inspect async handle lifetime and uv_close() sequencing
  4. No clear C++ frame? → Check for JS-side type mismatches passed into the native binding

V8 deoptimization / performance regression:

  1. Run --trace-opt --trace-deopt → identify the deoptimized function and reason (e.g., "not a Smi", "wrong map")
  2. Checkpoint: confirm the same function deoptimizes consistently across runs
  3. Inspect hidden class transitions (--trace-ic) and fix property addition order or type inconsistencies
  4. Re-run --trace-opt to confirm the function is now optimized

Build failure (node-gyp / binding.gyp):

  1. Is it a missing header? → Verify include_dirs in binding.gyp and Node.js header installation
  2. Is it a linker error? → Check libraries and link_settings entries; confirm ABI compatibility
  3. Is it platform-specific? → Consult rules/build-system.md for Windows/macOS/Linux differences

Always consider both JavaScript-level and native-level causes, explain performance implications and trade-offs, and indicate the stability status of any experimental features discussed. Code examples should demonstrate Node.js internals patterns and be production-ready, accounting for edge cases typical developers might miss.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nodejs Core AI skill do?

Contributes to and debugs Node.js core, including nodejs/node commit and PR tone, contribution workflows, native crashes, V8 performance, node-gyp builds, N-API bindings, and libuv issues. Use when drafting or reviewing a Node.js core commit or pull request, working in nodejs/node, or diagnosing C++ addons, binding.gyp failures, segfaults, native leaks, V8 deoptimizations, and event-loop internals.

Why use Nodejs Core on TypingMind?

Because you install it once and use it with any model. Nodejs Core is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nodejs Core in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mcollina/skills/tree/main/skills/nodejs-core. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nodejs Core?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nodejs Core?

As many as you like. As long as a model supports skills, you can use Nodejs Core with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nodejs Core AI skill free?

Yes. It is published on GitHub by mcollina under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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