mcollina/nodejs-core
Debugs native module crashes, optimizes V8 performance, configures node-gyp builds, writes N-API/node-addon-api bindings, and diagnoses libuv event loop issues in Node.js. Use when working with C++ addons, native modules, binding.gyp, node-gyp errors, segfaults, memory leaks in native code, V8 optimization/deoptimization, libuv thread pool tuning, N-API or NAN bindings, build system failures, or any Node.js internals below the JavaScript layer.
96
96%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that clearly defines a specific technical niche (Node.js native/C++ internals), lists concrete actions, and provides comprehensive trigger terms. The explicit 'Use when...' clause with extensive keyword coverage and the boundary statement ('below the JavaScript layer') make it highly effective for skill selection among many candidates.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: debugging native module crashes, optimizing V8 performance, configuring node-gyp builds, writing N-API/node-addon-api bindings, and diagnosing libuv event loop issues. | 3 / 3 |
Completeness | Clearly answers both 'what' (debugs crashes, optimizes V8, configures node-gyp, writes bindings, diagnoses libuv issues) and 'when' with an explicit 'Use when...' clause listing comprehensive trigger scenarios. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'C++ addons', 'native modules', 'binding.gyp', 'node-gyp errors', 'segfaults', 'memory leaks', 'V8 optimization/deoptimization', 'libuv thread pool', 'N-API', 'NAN bindings', 'build system failures'. These are precisely the terms a developer would use when encountering these issues. | 3 / 3 |
Distinctiveness Conflict Risk | Occupies a very clear niche — Node.js internals below the JavaScript layer, native C++ addons, and build tooling. The explicit scoping to 'below the JavaScript layer' distinguishes it from general Node.js or JavaScript skills, making conflicts unlikely. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill with strong actionability through concrete debugging commands and diagnostic decision trees with explicit validation checkpoints. Its main weaknesses are moderate verbosity in the introductory and instructions sections (restating domain knowledge Claude already has) and an inability to verify the extensive file references since no bundle was provided. The workflow clarity is excellent with proper feedback loops for destructive/diagnostic operations.
Suggestions
Trim the 'When to use' and 'Instructions' domain-knowledge bullets (e.g., 'Core architecture' paragraph) that restate what Claude already knows; keep only non-obvious constraints or project-specific conventions.
Consider moving the inline debugging commands and decision trees into referenced rule files (e.g., rules/debugging-native.md) and keeping only a compact summary in SKILL.md to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient but includes some unnecessary preamble in the 'When to use' section (listing things Claude can infer from context) and the 'Instructions' section restates domain knowledge Claude already possesses. The debugging commands and decision trees are lean and valuable, but the surrounding prose could be tightened. | 2 / 3 |
Actionability | The quick-reference debugging commands are concrete, executable bash commands with clear expected outputs. The diagnostic decision trees provide specific, step-by-step troubleshooting flows with exact flags and tools. The guidance is copy-paste ready and immediately usable. | 3 / 3 |
Workflow Clarity | The diagnostic decision trees are well-sequenced with clear branching logic and explicit checkpoints (e.g., 'Checkpoint: confirm the same function deoptimizes consistently across runs', 'Checkpoint: compare two consecutive heap snapshots'). The segfault, deoptimization, and build failure workflows all include validation steps and error recovery paths. | 3 / 3 |
Progressive Disclosure | The skill references 21+ rule files organized into clear categories with descriptive labels, which is good structure. However, no bundle files were provided, so we cannot verify these references resolve to actual content. The SKILL.md itself includes substantial inline content (debugging commands, decision trees) that could arguably be in separate referenced files, making the main file longer than ideal for an overview. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata.version' is missing | Warning |
Total | 10 / 11 Passed | |
Reviewed
Table of Contents