AI Skills

|

|

Inspect and profile React Native component trees from agent-device. Use for React Native performance, profiling, props, state, hooks, render causes, slow components, excessive rerenders, or questions like why a component rerendered.

Comprehensive guide for Firestore basics including provisioning, security rules, and SDK usage. Use this skill when the user needs help setting up Firestore, writing security rules, or using the Firestore SDK in their application.

Analyze a completed Meticulous test run — fetch the diff summary, inspect representative screenshots, DOM diffs, and timelines. Resolves the test run from the local repo's current commit (the default), or from an explicit test-run ID or commit SHA. Use when asked to review Meticulous test results, or while reviewing or babysitting a pull/merge request to assess and fix a failing Meticulous Tests CI check.

Iterative frontend development loop using Meticulous for per-step visual validation. Use when implementing a multi-step frontend change and want to catch visual regressions and unintended side effects at each step, before the final cloud test run.

>

>

|

|

Rsbuild best practices for config, CLI workflow, type checking, bundle optimization, assets, and debugging. Use when writing, reviewing, or troubleshooting Rsbuild projects.

|

|

Download and use structured Meticulous session data (user flows + network mocks) for testing code changes locally. Use when you need to understand what user interactions and API calls a test covers, or when you want network mocks for writing tests.

Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.

Blender to web export workflows for 3D models and animations. Use this skill when exporting Blender models to glTF for web, optimizing 3D assets for Three.js or Babylon.js, batch processing models with Python scripts, automating Blender workflows, or creating web-ready 3D pipelines. Triggers on tasks involving Blender glTF export, bpy scripting, 3D asset optimization, model compression, texture baking, or Blender automation. Exports models for threejs-webgl, react-three-fiber, and babylonjs-engine skills.

Review a Lightning Web Component for **mobile offline** compatibility — the Komaci offline static analyzer that pre-primes the data graph for Salesforce Mobile App Plus and Field Service Mobile App. Produces a finding list with code-level fixes covering inline GraphQL queries in `@wire` configurations, modern `lwc:if` / `lwc:elseif` / `lwc:else` directives, and Komaci ESLint rule violations (private wire properties, non-local reactive references, getter side-effects). Use when the user asks for a \"mobile offline review\", \"Komaci check\", \"offline priming audit\", \"offline priming failure\", or \"offline data graph error\", or to validate an LWC against the `@salesforce/eslint-plugin-lwc-graph-analyzer` recommended ruleset. Do not use for generic LWC code review (use an appropriate domain review skill) or for building LWCs with native mobile capabilities (use `using-mobile-native-capabilities`).

Define a Proof of Life probe to test a risky hypothesis cheaply. Use when you need harsh truth before building real product.

Provides security review capability for TypeScript/Node.js applications, validates code against XSS, injection, CSRF, JWT/OAuth2 flaws, dependency CVEs, and secrets exposure. Use when performing security audits, before deployment, reviewing authentication/authorization implementations, or ensuring OWASP compliance for Express, NestJS, and Next.js. Triggers on "security review", "check for security issues", "TypeScript security audit".

Check whether the Meticulous CLI (@alwaysmeticulous/cli) is installed and up to date, and install/update it if not. Invoked at the start of every other Meticulous skill, since the CLI is under active development with frequent changes and improvements.

|

|

Generates custom design system rules for the user's codebase. Use when user says "create design system rules", "generate rules for my project", "set up design rules", "customize design system guidelines", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.

|

|

|

|

[QianWen] Recommend the best Qwen model and parameters. TRIGGER when: choosing between Qwen models, comparing Qwen model pricing, understanding Qwen model capabilities, checking usage or billing, viewing cost history, when an execution skill needs model selection advice, or user explicitly invokes this skill by name (e.g. use qianwen-model-selector). DO NOT TRIGGER when: non-Qwen model discussions (OpenAI, Gemini, etc.), general AI questions unrelated to Qwen.

Use when setting up metrics, alarms, or troubleshooting missing data in OCI Monitoring. Covers metric namespace confusion, alarm threshold gotchas, log collection setup, and common monitoring gaps.

|