🎯Skills26
抖音视频自动发布技能。当用户需要发布视频到抖音时使用这个技能。技能包含：获取登录Cookie、上传视频、设置标题话题、定时发布等功能。. Part of zrt-ai-lab/opencode-skills.
A subtitle generation and burn-in skill that handles the full workflow: Whisper transcription, dictionary-based correction, user review, timestamp matching, SRT generation, and FFmpeg subtitle embedding.
A skill that automates video publishing to WeChat Channels (视频号) using Playwright browser automation, supporting cookie-based login, title/hashtag configuration, scheduled publishing, and original content declaration.
A video editing skill that executes FFmpeg-based clip removal of filler words, verbal mistakes, and silences from recordings, then re-transcribes to verify and generates subtitle files.
An agent skill for transcribing talking-head videos and detecting speech errors using FunASR with 30-second segmented transcription, identifying stutters, filler words, and silences to generate a review transcript and deletion task list.
An environment setup skill for a Chinese video editing toolkit that installs FunASR (speech recognition with timestamps), OpenAI Whisper (subtitle generation), and FFmpeg, downloading approximately 5GB of models for speech-to-text and subtitle workflows.
A video creation skill that synthesizes images and audio into videos with fade transitions, automatic outro splicing, BGM addition, and subtitle burning, supporting a multi-stage pipeline from story scenes to final MP4.
A self-update skill for AI agents that records user feedback, traces conversation context to identify issues, and integrates lessons learned into project documentation and methodology files.
A multimodal image processing skill supporting text-to-image, image-to-image, image-to-text, and long image stitching, triggered when users mention images, generation, infographics, or OCR.
A full-dimension log analysis skill based on the RAPHL pattern that auto-identifies log types (Java App, MySQL Binlog, Nginx, Trace, Alert) and extracts 20+ entity types for root cause analysis. Supports streaming processing of 100M+ log files with low memory usage.
An OpenCode/OpenClaw skill for creating Xiaohongshu (RedBook) notes that renders Markdown into styled image cards with 8 themes and supports one-click publishing. Part of a 26-skill collection covering content creation, video editing, auto-publishing, and developer tools.
A data analysis skill that automatically analyzes CSV files using Python and pandas, generating comprehensive statistical summaries and visualizations without requiring user prompts. It intelligently adapts its analysis approach based on the detected data type, from sales and financial data to survey responses and operational metrics.
An AI news search skill that crawls multiple Chinese-language AI news sources (AIBase, IT之家, 36Kr, etc.) for a specified date using a Ralph Loop iterative pattern. Automatically initializes a task list and processes each source with retry logic.
A skill for conducting in-depth technical research on specified topics, generating professional reports in both Markdown and Word formats with automated diagrams, web research, and structured output.
A long-text scene-splitting and batch image generation engine that intelligently breaks stories, courses, and comic scripts into scenes, then generates style-consistent and character-consistent illustrations in batch.
A unified agent protocol adaptation layer that lets you call all major agent protocols (MCP, A2A, ANP, AITP) through a single API. Provides protocol routing, capability discovery, and pluggable adapters for seamless cross-protocol communication.
A database query skill that connects to remote databases via SSH tunnel, supporting natural language to SQL conversion, query execution, and automatic table schema documentation generation.
A comprehensive guide for building high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services, covering both Python (FastMCP) and Node/TypeScript implementations.
Provides comprehensive guidance for creating effective AI agent skills, including standardized templates, directory conventions, SKILL.md structure with YAML frontmatter, bundled resource organization, and best practices for making skills discoverable and reusable.
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