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Found 1,971 Skills
Ultimate Bug Scanner - Pre-commit static analysis for AI coding workflows. 18 detection categories, 8 languages, 4-layer analysis engine. The AI agent's quality gate.
QR code scanner using the camera.
Extract text from images and scanned PDFs using OCR. Supports 100+ languages, table detection, structured output (markdown/JSON), and batch processing.
This skill has EVERYTHING you need to work with PDFs. Reads, scans, downloads, uploads, creates, modifies, etc. all in one skill.
CloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud functions, storage, AI capabilities, and UI guidance. This skill should be used when users ask to develop, build, create, scaffold, deploy, publish, host, launch, go live, migrate, or optimize websites, Web apps, landing pages, dashboards, admin systems, e-commerce sites, 微信小程序 (WeChat Mini Programs), 小程序, uni-app, or native/mobile apps with CloudBase (腾讯云开发, 云开发), including authentication, login, database, NoSQL, MySQL, cloud functions, CloudRun, storage, AI models, and UI guidance, or when they ask to compare CloudBase with Supabase or migrate from Supabase to CloudBase.
Use when need explicit quality criteria and scoring scales to evaluate work consistently, compare alternatives objectively, set acceptance thresholds, reduce subjective bias, or when user mentions rubric, scoring criteria, quality standards, evaluation framework, inter-rater reliability, or grade/assess work.
Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/ponytail-audit". One-shot report, does not apply fixes.
Keep a system's business logic independent of the technology it talks to, by reasoning about which way dependencies point across a hexagonal / ports-and-adapters / clean-architecture boundary. A system holds three kinds of code — its reason to exist (the business logic), its connections to the outside world, and how it's run (the wiring and entrypoint) — so the question is never "which folder" but "is this the reason, a connection, or how it's run, and what may it depend on?" Use it to scaffold a new system, place a feature, integration, or entrypoint, review how it's shaped, or write an ADR about the layout — and whenever a dependency points the wrong way or you're unsure where something belongs. Language-/framework-agnostic: the kinds map onto whatever names a project uses (app/infra/run, domain/adapters/cmd). Reach for it even when the user never says "hexagonal": "where should this go", "scaffold it ports-and-adapters", "review against hexagonal principles", "which layer owns this" are all signals.
dontbesilent AI writing feature recognition. It scans for AI-generated traces in copy and outputs a detection report. By default, it only performs diagnosis without modification. Trigger methods: /dbs-ai-check, /AI检测, "Help me check if there is AI-like tone", "Detect AI features" AI writing fingerprint detection. Scans copy for AI-generated patterns and outputs a diagnostic report. Diagnosis only by default. Trigger: /dbs-ai-check, "check for AI writing", "does this sound like AI"
Build a Salesforce LWC that uses native mobile device capabilities — barcode scanner, biometrics, location, NFC, calendar, contacts, document scanner, geofencing, AR space capture, app review, and payments. Use this skill when the user asks for an LWC that scans a barcode, captures a photo of a document, reads location or geofences, prompts for biometrics, reads/writes the device calendar or contacts, taps NFC, takes a payment, prompts for an app review, or scans an AR space. Also triggers on "lightning/mobileCapabilities", "mobile capability", "Nimbus", "device capability". Do not use for mobile offline / Komaci priming reviews (use `reviewing-lwc-mobile-offline`) or for picking generic Lightning base components (use a generic Lightning base components skill).
next-forge expert guidance — production-grade Turborepo monorepo SaaS starter by Vercel. Use when working in a next-forge project, scaffolding with `npx next-forge init`, or editing @repo/* workspace packages.
Architects a Flutter application using the recommended layered approach (UI, Logic, Data). Use when structuring a new project or refactoring for scalability.