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Found 596 Skills
A tool for generating application materials for Chinese software copyright, which directly outputs LaTeX source files and compiles them into PDF. It automatically analyzes project code to generate four materials: copyright registration application form, source code document (30 pages at the beginning and 30 at the end, total 60 pages), user manual, and design specification, including headers and footers, screenshot placeholders, and information consistency checks. Applicable to various software projects such as WeChat Mini Programs, Web applications, mobile Apps, and desktop applications. This Skill must be used when users mention software copyright, software copyright application, or copyright registration. It should also be used when users need to prepare copyright materials or generate software copyright documents for any software project.
Vision-driven HarmonyOS NEXT device automation using Midscene. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Control HarmonyOS devices with natural language commands via HDC. Perform taps, swipes, text input, app launches, screenshots, and more. Trigger keywords: harmony, harmonyos, 鸿蒙, hdc, huawei device, harmony app, harmony automation, harmony phone, harmony tablet Powered by Midscene.js (https://midscenejs.com)
Send files, photos, audio, or videos to the current chat. MUST use whenever you need to deliver any file to the user. Covers: sending images, selfies, generated art, documents, music, videos, voice messages, screenshots, or ANY file the user asks to see. Triggers: 'send it to me', 'send it over', 'let me see', 'send me', 'show me', 'send photo', 'send file', sharing any file path. NEVER paste raw file paths in text — ALWAYS use this skill to send files.
End-to-end Claude Design handoff to pull request: imports a handoff bundle from claude.ai/design, generates Storybook stories and Playwright tests, runs diff-aware browser verification, and opens a PR with the bundle URL, before/after screenshots, and coverage delta embedded in the body. The one-shot 'design URL in, reviewable PR out' workflow. Use when a designer or PM hands you a Claude Design URL and you want a PR back without intermediate steps.
Use when creating, writing, or refining a bug report for a FOLIO project. Produces structured bug tickets with a clear summary, preconditions, numbered steps to reproduce, expected vs. actual results, and supporting evidence (logs, stack traces, screenshots). Also use when asked to file a defect, triage an issue, or prepare a bug for Jira. Optionally interacts with the user to gather missing context and can create the ticket via the Jira MCP integration.
A Codex skill that converts images, screenshots, posters, PPT page screenshots, HTML or SVG design drafts into editable PPTX. This skill should be used when users need image2ppt, image2pptx, image-to-PPT, screenshot-to-PPT, PNG/JPEG to editable slides, HTML/SVG to PPTX, splitting design drafts into image components and text boxes then assembling into PowerPoint, or want to reuse Codex's built-in image generation capability to rebuild flat designs into multi-element editable PPTs. When processing binary images in Codex, it defaults to integrating with the imagegen skill: first use Codex's visual understanding to analyze the layout, then use the built-in image generation/editing capability to generate or clean multiple component images, and finally use this skill's scripts to assemble the PPTX.
Generate optimized Apple App Store metadata recommendations with ASO best practices. Use this skill when analyzing app listings, optimizing metadata (title, subtitle, description, keywords), performing competitive analysis, or validating App Store listing requirements. Triggers on queries about App Store optimization, metadata review, or screenshot strategy.
Provides image recognition capabilities for non-multimodal models (such as pure text models like deepseek-v4-pro, GLM-5.1, mimo-v2.5-pro, etc.). This skill is automatically triggered when the main model cannot recognize images, when users send screenshots/design drafts/UI screenshots for analysis, or when users say 'Look at this image', 'Analyze this screenshot', 'What's wrong with this image'. It also applies to any scenario where users paste images but the current model does not support image input. Supports simultaneous recognition of multiple images, with primary-backup fallback achieved by configuring multiple image recognition models. It can also be manually triggered using the commands /skill:vision-support or /vision. Iron Rule: The models configured for this skill are only used for image content recognition and will never participate in main logical reasoning. Note: If the current model is itself a multimodal model (such as Claude Sonnet 4, GPT-4o, Gemini, etc. that can directly recognize images), do not use this skill; let the main model recognize directly.
Replaces xcodebuild with remote XCode and Simulators. Use when the user wants to build or run an iOS app, test iOS UI, see their app on a simulator, or says 'run it', 'build it', 'test it', 'show me a screenshot', or 'launch on simulator'.
Use when an agent needs to operate the user's real Chrome session — listing tabs, reading the page, clicking, filling, typing into rich editors, pressing keys, evaluating JS, capturing screenshots, and reading console/network buffers. All actions go through CDP and run on backgrounded tabs without stealing focus.
Surface-aware end-to-end verification of a change — determine whether it touches a FRONTEND surface (rendered UI) or an API/backend surface, then validate the right way. Frontend → chrome-devtools MCP (open the affected page, screenshot, confirm it renders, check console/network/accessibility). API → a Playwright request script that hits the affected endpoints and asserts status + response shape. Use after implementing a change, or in the harness Validate step, to confirm it actually works in the running app — not just that unit tests pass. Requires the chrome-devtools-mcp plugin (frontend) and/or Playwright (API); both are wired up by the kit installer.
Plug-in vision for text-only models. Use whenever the user shares an image (local path, screenshot, photo, chart, document scan, or image URL) and the active model cannot see images or has no vision tool. Runs the modlens CLI to convert the image into structured JSON evidence: OCR text, layout, semantics, visual clues. Also use when the user asks how to install, configure, or switch modlens providers (Gemini API key, OpenAI-compatible endpoints, Claude API or Claude Code CLI).