Total 56,830 skills
Showing 12 of 56830 skills
Mac system junk file scanning and cleaning tool. Used to identify and clean cache files, development temporary files, duplicate files and large files in macOS systems. Use this skill when you need to free up disk space, clean up development project build artifacts, find duplicate files or locate files that take up a lot of space.
Consume standard Shopper Commerce APIs (SCAPI) for headless storefronts. Use when building PWA/composable commerce, accessing products, search, baskets, orders, or customer data via SCAPI. Covers authentication with SLAS, checkout flows, performance optimization, and Shopper Context API.
自动进行浏览器交互，以进行Web测试、表单填充、屏幕截图和数据提取。当用户需要浏览网站、与网页交互、填写表单、截屏或从网页中提取信息时使用。
This skill should be used when the user needs to query COSMIC Cancer Gene Census to check if genes are known cancer genes. Triggers include requests to annotate genes with cancer information, check if variants are in cancer genes, or retrieve cancer gene properties from COSMIC database.
Commit changes and create a GitHub Pull Request. Used for requests such as "Commit and create a PR", "Commit my current work and create a pull request", "Push changes and create a PR". Handles a series of workflows including staging, commit message generation, branch creation, pushing, and PR creation. The PR body is written in Japanese.
The method for finding the gap between what a system is supposed to do and what the code actually does — the class of bug generic scanners miss because they have no model of intent. Defines what counts as documented intent, what counts as implementation evidence, which mismatches matter, and how to avoid hand-wavy findings. Use when auditing AI-built code, reviewing access control against documented permissions, or checking whether a codebase matches its own documentation.
Find and remove AI slop — the generic, machine-default visual and copy tics of vibe-coded products — from a web project. Use when the user asks to "kill AI slop", "de-slop", "remove the AI look", "make this not look AI-generated", or clean up a landing page / UI / docs that feels templated. Detects and fixes: indigo→violet gradients, gradient-clip headline text, warm amber/stone "cozy" palettes, the default semantic palette (info-blue / tip-amber / success-green / error-red), one-hue status boxes, atmospheric/ambient gradients, serif-italic emphasis on one word, serif where sans belongs, decorative strikes and highlights, highlighted keywords in copy, AI copywriting voice ("not just X — it's Y"), emoji everywhere, glowing status dots, rounded colored-left-border callouts, pastel rounded-square icon tiles, glassmorphism and over-rounding, oversized drop shadows, corners that don't nest, badge & pill spam, AI-drawn SVG icons, icons in a tint of themselves, all-caps card grids, and the "tasteful terminal". Works on HTML/CSS, React/Vue/Svelte/Astro, Tailwind, and Markdown copy.
Use this skill when users need to create, generate, or validate Salesforce Custom Field metadata. Trigger when users mention custom fields, field types, Roll-up Summary fields, Master-Detail relationships, Lookup relationships, formula fields, picklists, dependent (controlling) picklists, referencing a value set from a field, or scoping/limiting picklist values for a specific record type. Also use when users encounter field deployment errors, especially around Roll-up Summary format, Master-Detail constraints, formula issues, or a record type that won't deploy without a business process. Use this skill for custom field metadata work, field generation, and field troubleshooting. DO NOT TRIGGER for creating or customizing the value set itself — defining a new GlobalValueSet, or modifying a StandardValueSet catalog like Industry or Lead Source — use platform-value-set-generate instead; this skill covers the field that references a value set, not the value set definition.
UI5 development best practices and coding standards derived exclusively from official SAP UI5 guidelines. Use when writing UI5 applications to ensure modern, maintainable code following SAP standards. Covers: async module loading (sap.ui.define, ES6 imports, core:require), ComponentSupport initialization, data binding with OData types, i18n management, CSP compliance (no inline scripts), TypeScript event types (UI5 >= 1.115.0), MCP tooling (get_api_reference, run_ui5_linter), CAP integration patterns, and form creation rules (never SimpleForm, always Form with ColumnLayout). Keywords: ui5 coding standards, async loading, sap.ui.define, data binding, odata types, i18n translation, CSP no inline scripts, TypeScript event handlers, Button$PressEvent, ui5 linter, API reference, ComponentSupport, form layout, ColumnLayout, CAP integration, cds watch
Salesforce DevOps automation using sf CLI v2. TRIGGER when: user deploys metadata, creates/manages scratch orgs or sandboxes, sets up CI/CD pipelines, or troubleshoots deployment errors with sf project deploy. DO NOT TRIGGER when: writing Apex code (use platform-apex-generate), building LWC components (use experience-lwc-generate), creating metadata definitions (use platform-custom-object-generate or platform-custom-field-generate), or querying org data (use platform-data-manage).
Generate and validate Apex test classes with TestDataFactory patterns, bulk testing (251+ records), mocking strategies, assertion best practices, and disciplined test-fix loops. Use this skill when creating new Apex test classes, improving test coverage, debugging and fixing failing Apex tests, running test execution and coverage analysis, or implementing testing patterns for triggers, services, controllers, batch jobs, queueables, and integrations. Triggers on *Test.cls, *_Test.cls files, sf apex run test workflows, coverage reports, test-fix loops. Do NOT trigger for production Apex code (use platform-apex-generate) or Jest/LWC tests.
Choose and audit startup metrics using Croll and Yoskovitz's "Lean Analytics". Use when the user mentions "what metrics should we track", "KPIs", "north star metric", "One Metric That Matters (OMTM)", "vanity metrics", "analytics dashboard", "DAU/MAU", "churn benchmark", or "measure product-market fit". Also trigger when choosing metrics for a startup or feature, auditing a dashboard for vanity metrics, setting metric targets and baselines, or instrumenting a product by business model and stage. Covers good-vs-vanity metrics, the One Metric That Matters, metrics by business model, the five startup stages, and benchmarks. For the build-measure-learn loop, see lean-startup. For fixing activation and retention, see improve-retention.