Word Teaching Assistant: Transforming Word Lists into Interactive Contextualized Learning Web Apps

Word Teaching Assistant is a web app generator for contextualized English vocabulary instruction, released by community developer user_90a020b6 on SkillHub (Education category, Version 1.0.1). By inputting a list of words (pasted directly or specified by textbook unit), it generates an interactive HTML learning application accessible on both mobile and desktop devices, comprising four sections: contextual articles, flip flashcards, an Ebbinghaus review calendar, and auto-saving notes. It is triggered by expressions such as word teaching, memorizing words, vocabulary instruction, generating articles with specific words, creating review plans, Ebbinghaus vocabulary learning, lesson preparation for English teachers, and textbook vocabulary lists. It is not suitable for pure translation, word definition lookups, grammar explanations, or exam paper generation. No additional API Key configuration is required for activation. The article introduces its features, installation access, typical usage, and applicable boundaries.

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Document to Markdown Skill: Convert common documents to Markdown

This article introduces the SkillHub community skill "Document to Markdown" (ID: @user_75a20f40/laozhuang-b06, version 1.0.0, category: office-efficiency, no API key required). This skill allows users to convert files such as docx, pptx, xlsx, pdf, html, csv, rtf, odt, epub, and txt into Markdown or extract the body text using a single natural language command. Images and scanned PDFs are recognized via OCR and formatted as Markdown. The article outlines trigger conditions, supported input formats, the official URL, and typical usage examples. It also notes that metadata indicates zero installations and limited community verification, and that table structure and styling information may be limited in the resulting Markdown; therefore, small-sample validation is recommended before integration.

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DX-B2-06 Post-Marketing Surveillance Plan: Introduction to a Skill for Pharmacovigilance Niche Services

This article presents the DX-B2-06 post-marketing surveillance protocol on SkillHub, focusing on its intended use when physicians or pharmaceutical companies need a specialized service that provides a post-marketing surveillance protocol. Based on already retrieved materials, it compiles the Skill’s official URL, coordinates, version, source, category, publisher, rating, and download information, notes that it sits in the enterprise demand-side blind spot of B2 pharmacovigilance safety, belongs to the general professional category, and is tagged with requires_api_key. The article does not elaborate unverified feature lists, installation commands, or usage examples; it only provides the official page and a coordinate-based locating method. It indicates that this Skill is suitable for scenarios where there is a clear need for a textual framework for a post-marketing surveillance protocol, and it cannot replace registration filings, clinical trials, regulatory communications, or legal advice.

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Hardware Configuration Recommendations and Verification for Weaver E10 (Non-containerized) Installation

This is an AI assistant-oriented community Skill (@user_f6995a55/e10-hardware-recommend, categorized under it-ops-security, no API Key required) that encapsulates the official hardware recommendation tables for non-containerized deployments of Weaver E10. It performs two primary functions: first, it outputs recommended server configurations based on client requirements such as concurrent user count, Xinchuang (domestic innovation) compliance, high availability needs, optional services, and architecture type (monolithic vs. microservices); second, it validates provided configurations against corresponding tiers and suggests improvements. The Skill incorporates both non-Xinchuang and Xinchuang official recommendation tables; the Xinchuang section covers Hygon C86 and Kunpeng 920 processors, and also includes recommendations and disk estimation for Elasticsearch (Weaver Search). It is applicable strictly to non-containerized deployments.

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Guide to HTML Video Rendering (Agent-oriented): Batch Rendering Videos Using Web Technology Stacks

This Skill translates Hyperframes (writing HTML to render videos, built for Agents) into a methodology for generating videos using a web technology stack. It is published by the enterprise account "Kunlun Growth" at @kunlungrowth/kunlun-html-to-video-render, version 1.0.0, categorized under design-media, and requires no API key. Targeting design and engineering teams, it uses familiar HTML/CSS/animation to batch-render dynamic content into videos, making it suitable for automation and Agent integration as an alternative to manual timeline-based production workflows. The article begins by clarifying the positioning and publisher, then lists the officially verified core capabilities: describing dynamic content with HTML/CSS/animation and rendering it into video, supporting batch rendering, and being designed for Agent invocation. Officially scraped materials did not include installation commands, configuration fields, or reproducible command-line examples, so unverified installation methods are not presented. Instead, it directs readers to the official page URL and explains that, based on the generic SKILL.md format, it can typically be placed into a project's Skill directory for Agent recognition, with specific directory names and configuration subject to official documentation. The typical workflow is described as follows: decompose content into scenes carried by HTML, use CSS to control layout and animation timing, and have the Agent batch-render the output videos. Finally, the article outlines applicable scenarios (existing web technology stacks, need for batch video production, desire for automated Agent invocation) and caveats (it is a methodology rather than a ready-made renderer; rendering capability depends on the corresponding toolchain; dependencies, configuration, and key-based billing should be verified independently before integration).

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Introduction to the Dubbing Art Skill: Supplementing Large Models with a Professional Perspective on Film Dubbing

Voice-over Art is a SkillHub community Skill located at @user_3c6cb52e/self-ent-film-voice-over (Version 2.0.2). Categorized under design-media and sourced from the community, it is tagged with requires_api_key=false and the trigger word "voice-over." Adopting the persona of a film critic and screenwriter with a film academy background, it provides the model with a systematic framework for evaluating film voice-overs across three dimensions: dubbing art, camera language, narrative structure, and mise-en-scène. This approach addresses common issues such as voice tone mismatching characters, narrators overshadowing the performance, and flat delivery in emotional sequences. Public documentation lacks directly copyable installation commands, configuration fields, and fully reproducible examples; only official pages and interface addresses are provided. It explicitly states its limitations: this Skill offers a perspective for evaluating voice-overs rather than performing audio synthesis. It is recommended to load the Skill via its coordinate, test it with short video clips, and then integrate it.

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Intelligent Background Check Analysis: The Skill for Standardizing Investigation Protocols

This is a community Skill published on SkillHub (Version 1.0.0, Category: business-ops, Publisher: user_fa14b5bc). It requires no API Key for operation. It addresses the issues of reliance on personal experience and inconsistency in background checks. By inputting the job type, risk level, and candidate's resume, it outputs a five-step background check plan. This includes a strategy overview (4-level depth grading and reference credibility ranking), a differentiated question list for 5 job categories (Technical/Management/Sales/Product/Executive, with each question annotated with core risk dimensions, ideal response characteristics, and warning signs), guidance on deciphering 12 typical vague responses (including follow-up strategies and risk rating), automated determination of 7 "red line" items (including the appeal process for contestable items), and a standardized report template. Additionally, it includes 4 quick-reference cards, anomaly handling guidance, and a complete workflow demonstration. The article introduces what it is, core functions, installation and activation, typical usage, and applicable scenarios. Official URL: https://api.skillhub.cn/user_fa14b5bc/background-check-intelligent-analysis

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Web Scraping MCP Server: Handing Web Page Parsing Capabilities to Models

The Web Scraper MCP Server is a community-sourced MCP Skill (identifier: @user_053d27d0/mcp-web-scraper-zx, version 1.0.1, categorized under SkillHub as "data-analysis"). It bundles 26 tools, including web fetching, JSON APIs, file downloads, HTML table parsing, link extraction, CSS selectors, XPath, HTML-to-Markdown conversion, news article extraction, and product information extraction. By parsing data first before passing it to the model, it prevents the need to load entire HTML pages into the context. The documentation details the classification of its three capability categories, the SkillHub installation entry point, and configuration fields (specifically `requires_api_key=false`, indicating no API key is needed). It also describes the invocation sequence of "Retrieve, Locate, and Transform," along with usage notes regarding its community source and an installation count of zero.

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WeCom Moments Copy Publishing System: Automating Customer Moments Content from Manual to Automatic Publishing

The WeCom Customer Moments Auto-Publishing System (@user_9203a591/wecom-moments, v1.0.1, community source, business-ops category) supports creating Moments posts, managing publication records, querying send results, copywriting template library management, and scheduled automatic publishing. It is tagged with requires_api_key=true. The page shows 100000 ratings, 871 downloads, and 0 installations. Since the retrieved materials do not include installation commands, configuration fields, or reproducible examples, the article explicitly notes that verification must be conducted on the official page. It does not fabricate content.

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dsh-video-notes: Turn videos into Markdown lecture notes in DSH

dsh-video-notes is a DeepSeek Harness (DSH) plugin maintained by lucky-Luor, which registers the upstream bilibili-douyin-notes skill into DSH. It supports subtitle extraction, local ASR, key screenshots, and note templates, works without login, and does not call any paid APIs. Installation requires Node.js ≥20 and Python ≥3.10; install it via the official `plugin add` command and install the skill dependencies with pip. To use it, simply provide a video link in the Agent conversation to generate .md notes; the config.json file is located in the skill directory within node_modules, and should be backed up before upgrading.

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Typography Pairing: A Design-Media Skill Focused on Font Matching

Font pairing (self-ent-design-font-pairing) is a community-design Skill on SkillHub, version 2.0.2, categorized under design-media. It requires no API key, has a rating of 100000 and has been downloaded 884 times. Positioned for senior visual designers, it offers guidance around font pairing: hierarchy from headings to body text, combinations for mixed Chinese-English text, and pairing directions selected according to design styles, with the trigger word font-pairing. This article introduces its positioning, capability boundaries, installation method and applicable scenarios; the official page was unreachable when verifying, and the installation command and examples could not be confirmed. Please defer to the official page.

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dsh-session-cleanup: Permanently Delete Session Data in DSH

DSH's built-in archiving only hides sidebar sessions; the event log `session.v4.jsonl.zstd`, projection cache, and `workspace.json` registrations remain on disk. `dsh-session-cleanup` (LucasCaleb-ggg, MIT, 1.0.0) provides a "Session cleanup" panel and a sidebar "Delete permanently..." option. It deletes the three aforementioned data locations and syncs the `workspaceRegistry` via the Host API. It supports batch deletion, unregistered session groups, and workspace registration removal; it rejects running sessions and does not touch attachments. Installation: `dsh plugin add https://github.com/LucasCaleb-ggg/dsh-session-cleanup`. Requires DSH 0.2.x Web GUI.

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Scientific Data Analysis, Structured Conversion, and Batch File Processing: Skill Introduction

This Skill targets parsing scientific research data, structured transformation, and batch file processing. It falls under the data-analysis category and was published by skill训练营 from an enterprise source. The current version is 1.0.4, located at @org-k6bcf2fv/scientific-agent-skills, and no API key is required. At the time of writing, two attempts to fetch the official page both failed, so its functional boundaries, installation commands, configuration fields, and usage examples were not verified. The article only states the facts that were retrieved, flags statistical discrepancies in ratings, downloads, and install counts, and makes no speculation. The official URL is provided, and it recommends reading SKILL.md first before deciding whether to integrate it.

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WorldPulse: Global News and Mobility Planning in the DSH Network Plugin

WorldPulse 是 lucakaneshiro1 维护的 DSH Web 联网插件,聚合多源 RSS 与搜索快讯,提供局势研判、冲突感知行程规划、大陆及港澳台航班查询与比价入口。安装可通过 GitHub Release 的 dsh-worldpulse.tgz 或插件管理器指向本地目录;票价与风险为参考提示,非官方报价或安全评估。

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Fiction Analysis and Imitation: Quantifying Writing Style as Fingerprints for Reconstruction

This Skill transforms novelist style from a subjective feeling into a computable metric. By inputting a batch of TXT novels, it extracts 40+ stylistic features—including sentence length coefficient of variation (CV), dialogue ratio, density of dashes/four-character phrases/complex sentences, chapter CV, aphorisms, intensifiers, pathetic words, and pronoun distribution—to generate a style fingerprint report. It supports a closed-loop workflow of writing imitation and verification based on these fingerprints. The system features a built-in baseline of 34 authors across diverse genres (such as Jin Yong, Gu Long, Mao Ni, Ma Boyong, Chen Dong, and Priest, with corresponding files like *风格特征_deep.json* in the examples/ directory), enabling out-of-the-box imitation or verification. To expand author coverage, users simply need to specify the corpus via the --corpus parameter and rerun. This Skill is applicable to scenarios such as novel corpus organization, authorship style research, ghostwriting detection for web novels, eliminating 'AI flavor' from AI-generated text, and teaching material preparation for literature courses.

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build-wechat-miniprogram: WeChat Mini Program Delivery Skill from Setup to Content Security Auditing

build-wechat-miniprogram is a WeChat native mini program delivery skill released by the SkillHub community. Identified as @user_c25e780d/build-wechat-miniprogram (Version 1.0.1) and categorized under dev-programming, it requires no API Key. It decomposes mini program development into three core capabilities: At the page and engineering level, it covers WXML/WXSS, native components, TDesign MiniProgram, usingComponents, npm builds, WeChat Developer Tools, and real-device debugging; at the runtime level, it addresses differences between Skyline and WebView, CloudBase cloud functions, WeChat login, permissions, and privacy declarations; at the content safety level, it covers the moderation of avatars, images, audio, nicknames, and comments, involving security.mediaCheckAsync and security.msgSecCheck, as well as the troubleshooting of security mode HTTPS callbacks, pending states, review processes, callback failures, and upload failures. Additionally, it includes publishing verification, adaptation, elderly-friendly features, and accessibility. The article provides official coordinates, addresses, and typical usage scenarios based on trigger keywords. It also specifies that this Skill is exclusively targeted at WeChat native mini programs and does not cover cross-platform frameworks. Users are advised to verify interface parameters against official documentation before use.

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dsh-voice: Text-to-Speech, Dictation, and Multilingual Voice Routing for DSH Web UI

dsh-voice (@lucagiftzek/dsh-voice 2.0.0) delivers speech output for assistant replies, composer dictation, supports configuration for 23 categories of TTS/STT providers under Settings > Voice, language-based routing, sentence and word highlighting, and the TTS Reader sidebar for the DeepSeek Harness Web UI. Supports npm or GitHub installation and requires restarting the DSH web service. Optional dsh-better-sidebar. Designed for DSH 0.2.x/0.1.5. Released under the MIT License and maintained by lucagiftzek.

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search-baidusearch: WeCom CLI All-in-one Suite Covering Contacts, Messages, Documents, Schedules, Meetings, and To-Dos

This article introduces `search-baidusearch` (Coordinate: @user_33aa5c8b/search-baid, v1.0.0, Community Source, Office-efficiency Category), which is published on SkillHub. The tool consolidates commonly used WeCom (Enterprise WeChat) operations into CLI capabilities that is directly callable by Agent, covering six major business domains: contacts, messages, documents, schedules, meetings, and tasks. The specific functionalities include: searching contacts by name or alias; sending and receiving text, images, files, voice, and video messages; creating, reading, and editing documents in Markdown; managing the structure and records of smart sheets; creating intelligent documents with export-to-Markdown capability; creating, modifying, and canceling schedules, plus checking busy/free status; booking and managing meetings; and creating, tracking, and assigning to-do tasks. The official description indicates that this tool should be triggered in message, schedule, and task-related scenarios, even if the user does not explicitly mention WeCom. The metadata marked as `requires_api_key=false`. Installation commands and reproducible invocation examples are not provided, so this article honestly points out the facts accordingly and suggests referring to the official page for accurate information.

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Aladdin AI Weekly Report Writing: Automatically Generate Weekly Reports from Activity Data With Skills

Aladdin-Weekly Intelligent Writer is a community-released Office productivity skill. Its core is automatic recall: after user consent, it collects work activity signs from WeCom, DingTalk, and Feishu, such as messages, schedules, to-do items, and document edits. It clusters data by project into structured weekly, daily, and monthly reports, supports exporting in multiple formats (Tencent Docs, WeCom, DingTalk, Feishu, local Word, and Markdown), and creates a personal work archive for cross-period comparison. It compresses 30–90 minutes of manual organization into a ~2-minute delivery. Unlike writing assistants that only polish writing styles, it automatically gathers source material instead of relying on user-provided texts. During the writing of this document, the official page failed to be fetched, so installation commands, configuration fields, and usage conventions could not be verified; this article explicitly flags that limitation honestly.

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Packaging Generation: A Skill for Generating Packaging Design from Scratch

This article introduces the community skill Packaging Generation, a packaging design generation capability with built-in design standards, a template system, and content generation features. It supports trigger words such as packaging, create packaging, packaging design, product packaging, and gift packaging, and requires no API key. Currently at version 1.0.2, it originates from the community and is categorized under design-media. The article outlines its positioning, core features, installation entry point, and applicable scenarios, and notes that the official page could not be retrieved and that the installation command should follow the page.

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dsh-subagent-tiering: Subagents Route to Parent Model's Low-Cost Same-Tier by Default

When the subagent does not specify the provider, model, or reasoning_effort, the DSH plugin @lucagiftzek/dsh-subagent-tiering routes sub-sessions to cost-effective, equivalent-tier models—such as Sonnet, Qwen flash, and DeepSeek flash—based on built-in rules. Explicit parameters passed by the main agent take precedence. It integrates via tools/pre-execute and cordis.patch, requiring the subagent-model-selection and ptc's tool-subagent to be enabled. To install, run `dsh plugin --profile web add @lucagiftzek/dsh-subagent-tiering` and restart dsh web. Node ≥22.18, MIT 0.1.0.

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Tax Compliance for Labor Service Companies: Translating Common Practices Regarding Wages, Social Security, and Cost Invoices into Contractual Clauses

"Tax Practice Guide for Labor and Construction Companies" covers five core capabilities: compliant payroll distribution, risks related to transfers from corporate to personal accounts, handling of cost invoices, the relationship between social security and wages, and optimization of corporate income tax for small and micro enterprises. Published by user_8dbbd174, Community-sourced, Category: Professional, Version 1.0.2, No API Key required. The article explains the problems it addresses, how to install and enable it, typical example queries, and limitations as a community knowledge pack regarding regional compliance standards and timeliness.

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Task Planning Manager: Transforming Scattered To-Dos into Priorities, Time Blocks, and Next Actions

The Task Planning Steward is an Agent Skill based on the universal SKILL.md format, with identifier @user_b4da0893/proactive-task-manager-cn. It is published by user_b4da0893, sourced from the community, versioned at 1.0.1, categorized under ai-agent, and tagged with requires_api_key=false. It consolidates scattered to-dos into priorities, time blocks, reflection prompts, and next-step actions; it does not generate code, nor does it sync with calendars. The article outlines its positioning, four core capabilities, installation and activation methods (the official documentation does not provide installation commands; it only states that it should be placed into the skills directory as a SKILL.md-based skill, and no API key is required), use cases and limitations, and points out that the official page lacks examples and notes on directory differences across the three client apps. It suggests validating it with a minimal task set before deciding whether to integrate it into a daily workflow.

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Library Assistant: Using the Controlled Browser as an MCP Relay Node

Library Assistant (@yahuixun/library-assistant, developed by Shenzhen Yahuixun, version 1.0.5, categorized as an AI agent) integrates Control Browser Orchestrator as a headed browser node into MCP Relay. The article introduces its capabilities such as relay pairing, authenticated worker connections, secure browser operations with manual login, local MCP fallback, page navigation and screenshots, and extended scraping via configured extensions. It also provides reproducible steps for enabling, pairing, navigating, and capturing screenshots via the official endpoint, along with considerations including API keys and headed display environments.

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dsh-request-image-cap: Send images to model with pixel limits based on side length

DSH's default image gate is area-controlled, with long edges up to 8192 px; full-page screenshots may be rejected by the 2000 px per-side rule during normal short conversations and multi-image Anthropic requests. dsh-request-image-cap clamps each image to a configurable per-side cap (default 2000) at the readImageRequest seam, without altering storage, and can retroactively fix historical sessions. Based on the official README, this article covers installation commands, configuration options, the behavior formula, and environment requirements (Node ≥22.18, DSH 0.1.5/0.2.1), and reminds users that the plugin runs with the same privileges as the dsh process, so the source code should be reviewed before installation.

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