zc277584121/marketing-skills
13 skills37.4k installsGitHub
Install
npx skills add https://github.com/zc277584121/marketing-skillsSkills in this repo
1Remove Ai StyleThe remove-ai-style skill reviews and adjusts writing to reduce obvious AI-generated patterns so text reads more naturally in Chinese or English. Users can specify moderate, heavy, or full intensity; heavy is the default when unspecified. Moderate fixes only the most glaring patterns while preserving structure. Heavy actively rewrites AI-ish sentences and formulaic paragraphs. Full treats the text as a draft rewritten from scratch in a human voice while preserving meaning and key information. Workflow detects language, loads references/chinese.md or references/english.md, runs quick-scan scripts for symbol-level issues when provided, then reviews against style guidelines scripts cannot catch such as robotic transitions and formulaic structure. Chinese scans handle both ASCII and Chinese double quotes with equal priority. Core message and tone must remain intact even at full intensity. Scripts cannot catch every pattern; full-text review still follows scans.3kinstalls2Browser ScreenshotTake focused screenshots of specific regions on web pages a Reddit post a tweet an article section a chart etc not just a full page dump Prerequisite agent browser must be installed and Chrome must have remote debugging enabled See references agent browser setup md if unsure 1 Research the best page to screenshot web search fetch 2 Navigate to the right page in the browser 3 Locate the target element region on the page 4 Capture a focused cropped screenshot of just that region Hard Rule No Full Screen Screenshots The browser screenshot skill documents workflows prerequisites and usage patterns grounded in its repository SKILL md Agents should follow the documented steps respect safety and permission notes and cite only capabilities described in the source It triggers on phrases matching the skill description and integrates with the agent toolchain for the tasks outlined in the documentation3kinstalls3Content RewriteAdapt a piece of source content article blog post announcement etc into platform specific versions for distribution across social media and content platforms Use this skill when the user provides source content and wants it rewritten or adapted for one or more target platforms Before starting always ask the user 1 Perspective voice Should the content use first person I telling a personal story or third person stating facts objectively This significantly affects tone and credibility on every platform 2 Target platforms Which platforms to write for LinkedIn X Reddit English blog WeChat or all Each platform has a dedicated style guide under references The content rewrite agent skill provides documented workflows prerequisites triggers and safety guidance from its SKILL md source Agents load it when user requests match the description and follow step by step instructions without inventing capabilities It integrates with standard agent tooling for the tasks inputs outputs and failure modes described in the repository documentation2.9kinstalls4Chrome AutomationSkill Chrome Automation agent browser Automate browser tasks in the user s real Chrome session via the agent browser https github com vercel labs agent browser CLI Prerequisite agent browser must be installed and Chrome must have remote debugging enabled See references agent browser setup md if unsure Core Principle Reuse the User s Existing Chrome This skill operates on a single Chrome process the user s real browser There is no session management no separate profiles no launching a fresh Playwright browser The chrome automation agent skill provides documented workflows prerequisites triggers and safety guidance from its SKILL md source Agents load it when user requests match the description and follow step by step instructions without inventing capabilities It integrates with standard agent tooling for the tasks inputs outputs and failure modes described in the repository documentation2.9kinstalls5Image GenerationGenerate illustration images for blog posts documentation and technical articles The workflow is provider aware 1 Codex built in path first when the current agent is Codex and the built in image_gen tool is available use it directly This path does not require OPENAI_API_KEY 2 OpenAI API fallback outside Codex or when the built in tool is unavailable use the local script with OPENAI_API_KEY if present 3 Gemini fallback if OpenAI API generation is unavailable or fails use the same script with GEMINI_API_KEY and the existing Gemini image model Load provider specific references only when needed Codex built in path references codex built in md OpenAI API fallback references openai api md Gemini fallback references gemini api md User asks to generate an illustration diagram concept image article visual or documentation visual User is writing an article and needs visual explanations for concepts or workflows User explicitly asks for a generated raster image2.9kinstalls6Mermaid To ImageConvert mermaid code blocks in Markdown or other text files into PNG images and replace the code blocks with image references Useful for platforms that don t render Mermaid natively GitHub Pages Jekyll Dev to etc The user asks to convert Mermaid diagrams in a file to images The user wants to render specific Mermaid code blocks as PNG A publishing workflow requires static images instead of Mermaid code blocks The user may specify A single file convert mermaid blocks in docs architecture md Multiple files convert mermaid in all files under docs A specific code block convert the second mermaid block in README md Scan the target file s for mermaid code blocks Report how many blocks were found and in which files before proceeding Step 2 Determine the image output directory2.9kinstalls7Raw Video ProcessingPost process raw screen recordings to improve pacing remove silent segments then speed up the result Prerequisite FFmpeg and uv must be installed The user has recorded a screencast and wants to clean it up before publishing Typical issues in raw recordings Long pauses dead air while thinking or waiting for loading Keyboard typing sounds and other low level background noise that should be treated as silence Overall pacing feels slow and could benefit from a slight speed boost When the user provides a raw video file run both scripts in sequence by default bash uv run python 3 12 path to skills raw video processing scripts remove_silence py input mp4 t 20dB d 0 5 The raw video processing agent skill provides documented workflows prerequisites triggers and safety guidance from its SKILL md source Agents load it when user requests match the description and follow step by step instructions without inventing capabilities It integrates with standard agent tooling for the tasks inputs outputs and failure modes described in the2.8kinstalls8Video To GifConvert a video file into multiple GIF variants with different parameters so the user can visually compare and pick the best one Prerequisite FFmpeg and uv must be installed gifsicle is optional enables lossy compression variants The user wants to create a GIF from a video clip but isn t sure about the right parameters GIF quality involves tradeoffs between File size smaller is better for sharing embedding Color accuracy fewer colors smaller but may cause banding Smoothness higher FPS smoother but larger Resolution wider sharper detail but larger Rather than guessing this skill generates multiple variants and lets the user decide bash uv run python 3 12 path to skills video to gif scripts video_to_gif py input mp4 The video to gif agent skill provides documented workflows prerequisites triggers and safety guidance from its SKILL md source Agents load it when user requests match the description and follow step by step instructions without inventing capabilities It integrates with standard agent tooling for the tasks inputs outputs and failure modes2.8kinstalls9Jupyter Notebook WritingWrite Milvus application level Jupyter notebook examples as a DevRel workflow Uses a Markdown first approach AI edits md files then converts to ipynb via jupyter switch Prerequisites Python 3 10 uv uvx command available The user wants to create or edit a Jupyter notebook example typically demonstrating Milvus usage in an application context RAG semantic search hybrid search etc Jupyter ipynb files contain complex JSON with metadata outputs and execution counts painful for AI to edit directly Instead 1 Write Edit the md file AI works with clean Markdown 2 Convert to ipynb using jupyter switch for runnable notebook 3 Keep both files in sync the md is the source of truth for editing The jupyter notebook writing agent skill provides documented workflows prerequisites triggers and safety guidance from its SKILL md source Agents load it when user requests match the description and follow step by step instructions without inventing capabilities It integrates with standard agent tooling for the tasks inputs outputs and failure modes described in the repository2.8kinstalls10Md To FeishuConvert a local Markdown file into a Feishu document with automatic image upload The user only needs to provide a Markdown file path Title is optional if not provided extract it automatically see below 1 Read the Markdown file and look for the first heading use that as the title 2 If no heading exists scan the content and generate a concise descriptive title based on the topic 3 If the user explicitly provides a title use that instead Try each option in order Use the first one that works If uvx is available the run command is The md to feishu agent skill provides documented workflows prerequisites triggers and safety guidance from its SKILL md source Agents load it when user requests match the description and follow step by step instructions without inventing capabilities It integrates with standard agent tooling for the tasks inputs outputs and failure modes described in the repository documentation2.8kinstalls11Mermaid To GifConvert Mermaid diagrams into animated GIFs with rich animation effects Supports mmd files and extracting mermaid code blocks from md files Prerequisites FFmpeg Python 3 8 Playwright pip install playwright playwright install chromium The user wants to convert Mermaid diagrams to animated GIFs The user has mmd files or md files containing mermaid code blocks The user needs animated visuals for presentations documentation or social media The user wants to batch convert all mermaid blocks in a document IMPORTANT When converting mermaid blocks from md files read the surrounding markdown context to choose the most appropriate animation style for each diagram Do NOT blindly apply the same style to all blocks 1 Read the markdown text around each mermaid block understand what the diagram is illustrating 2 Match the style to the semantic meaning2.8kinstalls12Screenshot CompressionCompress screenshot images PNG JPEG in place while keeping the original format Uses pngquant for PNG and jpegoptim for JPEG both are highly effective for screenshot content UI elements text flat colors Prerequisites pngquant and jpegoptim must be installed on the system The script will not install them automatically it checks for their presence and prints install instructions if missing The user has screenshot files that are too large and wants to reduce file size without changing format Common scenarios Preparing images for GitHub READMEs blog posts or documentation Reducing image sizes before committing to a repository Batch compressing a directory of screenshots WebP has better compression but poor compatibility in some contexts Context WebP Support Browsers Chrome Firefox Safari Edge Yes GitHub Issues PRs Yes WeChat editor No Word PowerPoint No Some forums blog backends Varies2.8kinstalls13Github TrafficFetch and analyze GitHub repository traffic data page views git clones referral sources popular pages and star growth Optionally generate trend charts as PNG images Prerequisites gh CLI must be installed and authenticated Push write access to the target repository is required GitHub s Traffic API does not work with read only access matplotlib is optional for PNG chart generation falls back to ASCII if unavailable The user asks about repository traffic page views clone counts or where visitors come from The user wants to see traffic trends over time weekly monthly quarterly The user wants to generate traffic report charts for sharing or documentation The user wants to periodically snapshot traffic data to build long term history Important GitHub Traffic API Limitations GitHub only provides the last 14 days of traffic data To track trends over longer periods 30 days 90 days etc the script stores each fetch in a local history file github traffic repo _traffic json Regular snapshots are required to build up history2.8kinstalls