LinkPix: Introduction to the AI Viral Video Replication and Audio Extraction Skill
**Introduction** Teams engaged in short video marketing often face two recurring challenges: upon seeing a viral video, they wish to replicate its pacing and presentation style, but manually analyzing shot breakdowns, beat synchronization, and transitions consumes significant time. Furthermore, after acquiring source material, they need to extract audio separately for re-editing or multi-channel distribution. The LinkPix Skill introduced below integrates these two processes into a single tool. **What is this?** LinkPix (Skill Full Name: AI Viral Video Replication & Audio Extraction | LinkPix) is an Agent Skill designed for short video creators and e-commerce sellers. Identified as `@qinghu-ai/linkpix-viral-video-toolkit`, it is currently at version 0.1.8 and is published and maintained by Qinghu AI.
Read MoreStock Industry Chain Bottleneck Hunter (White Hair Investment Research Method): Turning Investment Research Agents into Supply Chain Bottleneck Hunters
Released by SkillHub community user @user_ac35695d, this Skill is version 1.0.0, categorized under "professional," and marked as community-sourced. It is designed to transform investment research Agents into supply chain bottleneck hunters, covering traceable source research, market and thematic scanning, AI/semiconductor/tech value chain mapping, A-share/HK stock/US stock screening, thesis stress testing, and Serenity-style research dialogue. Triggered by natural language commands such as "View like Bai Mao," "Deep Research," "Industry Chain/Blockage Point/Bottleneck," "Rank Candidates," and "Challenge This Thesis," it outputs plain-language reasoning, prioritized research, evidence chains with risks, and next-step verification steps. Officially, it explicitly supports research only and does not execute trades. Please note: The specific installation commands and configuration fields were not provided on the official page verified this time, so confirmation from the publisher is required before installation. Output quality depends on the Agent's upstream retrieval and data source coverage; bottleneck assessments are research hypotheses rather than conclusions. Ratings and download counts are subject to the real-time figures on the official page.
Read Moreds-pstack: Integrating pstack Workflows into DeepSeek Harness with Sub-agent Model Routing from Your Selected Pool
ds-pstack, maintained by monkeyin92, ports Lauren Tan's 58 pstack skills to DeepSeek Harness, retaining playbooks such as /poteto-mode and /interrogate. Unlike the Cursor version, the sub-agent model slug is not hardcoded; instead, a deterministic router selects from a model pool configured in Settings based on eight task intents, and the classification step does not invoke a model. Installation is performed with `plugin_manager install_bundle github:monkeyin92/ds-pstack#main`; it requires enabling Subagent model selection and running `/setup-pstack` to choose a budget. The bundle includes two entries, ds-pstack-skills and ds-pstack-router, and is MIT licensed; the current version is 0.1.0.
Read MoreNews Aggregator: Summarize Domestic and International Technology and Military News into a Key Points Brief
News Aggregator (@httencn/news-aggregator, v1.0.3, MIT-0) codifies the aggregation of domestic and international technology and military news into a SKILL.md workflow. It enforces a fixed four-step process: Search, Filter, Organize, and Output. The news sources are hardcoded into four distinct groups: Domestic Tech, Domestic Military, International Tech, and International Military. Its credibility rules differentiate between official reports and forum reposts, generating a fixed-format Markdown bulletin brief. The documentation outlines the specific problems it solves, built-in sources, output formatting, installation via `openclaw skills install`, and typical usage, while noting limitations such as non-configurable sources, lack of scheduling, and absence of built-in translation.
Read MoreDeepSeek Cost Meter: Per-round Model Cost Estimation in Harness
DeepSeek Cost Meter (deepseek-cost-meter) is a community DSH plugin maintained by luomuwen under the MIT license. It displays estimated model costs based on API usage and configured pricing below each response round and in the input box footer, supporting DeepSeek's peak/off-peak pricing as well as multiple channels including Kimi and MiniMax. Install with the command: dsh plugin --profile desktop add deepseek-cost-meter. It requires no API key and makes no additional model requests. Custom pricing can be added via additionalRates. The estimation excludes costs for tools and sub-agents, and may differ from account billing statements.
Read MoreDesktop Computer Use: Semantic Desktop Control Skill for Windows
Desktop Computer Use is a community-sourced Agent Skill (Coordinates @user_bf9357fd/desktop-computer-use, version 1.0.4, category ai-agent) focused on semantic desktop control for Windows: enabling AI to see and operate desktop applications and browsers as a human would, while supporting both native GUI and browser CDP channels. It is tagged requires_api_key=false. Starting from developers’ pain points, the article outlines its core capabilities, installation and activation methods (the official page is unreachable, and the installation command and configuration fields have not been verified; only the official URL is provided), as well as typical usage and applicable scenarios. Note: It is community-sourced, has zero installs, and is limited to Windows; validate independently before adopting.
Read Moredsh-mood: Adds Six-Dimensional Moods and Cyber Diaries to DeepSeek Harness
dsh-mood (Yuyu Mood Engine) provides DeepSeek Harness with a six-dimensional event-driven state machine, a 22-word emotion matrix, per-turn tone injection, optional sampling temperature intervention, scheduled diary entries, and a right-column mood panel. Based on the official README, this article explains ZIP installation, step-by-step configuration of cordis.patch, dsh plugin install, and full restart procedures, while summarizing the interaction limits, local HTTP interface, and simulated disclaimer, enabling a fun dress-up style experience without compromising security or factual accuracy.
Read Moredsh-mcp-status: Check MCP Server "Available Now" Status in Chat Header
When DSH starts, it connects to MCP. When services are abnormal, tools silently disappear or report transmission errors, and configuration files cannot reflect real-time status. dsh-mcp-status is a MIT client plugin by lobichshev-ops that provides an MCP button in the session top bar: it detects each server through initialize and tools/list handshakes (not port checking), displays status, response time, and tool count, and caches the results. Installation is done via pnpm link in the profile and bundle list registration, with optional configurations such as intervalMs. It is suitable for multi-MCP and EDT scenarios; the plugin runs with DSH process permissions, so please review the source code before use.
Read Moredsh-codebuddy-link: Invoking Tencent Models in DSH via CodeBuddy CLI
`dsh-codebuddy-link` is a DSH Cordis client plugin maintained by liubaicai. It integrates the Tencent CodeBuddy CLI into LlmAdapter via ACP stdio, supporting multi-account management and independent delegation of the `codebuddy_ask` function and the `/codebuddy` slash command. Installation requires Node.js 22.18+ and a globally installed CodeBuddy CLI; the recommended installation method is `dsh plugin add git+https` (pinned to v0.3.30). The settings panel manages models and candidate fallbacks, while credentials are stored in `DSH_HOME`. Note that ACP and permission bypass override sandbox restrictions, making it suitable for local, trusted environments only.
Read Moredsh-zh-layer: DSH Switchable Bilingual Overlay
dsh-zh-layer is a DSH client plugin maintained by Lin-AxiomSight. Through runtime metadata wrapping and front-end rendering, it provides Chinese names and descriptions for plugins, slash commands, and Skills. It supports three display modes — zh / both / off — without modifying the DSH source code. AI translation must be triggered manually, defaults to deepseek-flash, and submits only untranslated entries. Configuration and dictionary files are stored at ~/.dsh/zh-layer-config/. Based on the official README, this article covers installation commands, typical usage, privacy and cost considerations, and known limitations.
Read MoreApple Design Style: Implementing Minimalist Human-Centered Technology from Website Aesthetics to Web Pages
Codify the Apple website's color schemes, typography, layout, interactions, imagery, and copywriting rules into a Skill, featuring a built-in page generator and a style checker. v1.2 adds 3 example pages, enhanced templates, and 38 tests.
Read Moredsh-corner-gauge: Floating Balance Panel for DSH Corners with Interchangeable Skins
dsh-corner-gauge is a DSH Web client plugin maintained by kkppshuai-svg that displays a draggable balance badge in the corner of the interface. The `skin` component manages the border, while `elements` manages the content. By default, it fetches the DSH account balance; on failure, it displays `--` and retries. It supports the mclaren/minimal skins, local bridge-based reading of usage from Codex/Claude/Doubao, and a configurable sports car easter egg. Installation requires copying to the profile's node_modules, registering bundles in package.json, and restarting the App (rather than using `dsh plugin add`). Compatible with DSH >=0.2.1-rc.2 <0.3 and Node >=18. MIT licensed.
Read MoreExpert in Document Polishing and Layout: De-AI-ify and Refine Chinese and English Texts — Skill
This article introduces the SkillHub community Skill "Document Polishing and Formatting Expert", with coordinates at @user_e9988879/document-polisher, version 1.0.0, and categorized under content-creation. Designed for intelligent polishing of Chinese and English documents, its capabilities include removing AI-like tone, grammar correction, style standardization, layout optimization, and conciseness enhancement, making it suitable for workplace writing, academic papers, and self-media content creation. The article has verified the official address, source attribution, and page metrics, and notes that the provided documentation does not include a directly copyable installation command. Actual activation depends on the Skills loading rules of the host environment, such as Cursor, Codex CLI, or Claude Code.
Read Moredsh-computer-use: Enabling DSH Agents to See and Operate Real Desktops on Windows
dsh-computer-use is a DSH workflow plugin maintained by Iroul1212 (v0.2.0, MIT licensed). It registers only five tool categories—computer, app_window, ui_element, clipboard, and app_skill—on Windows 10/11, driving the real desktop through a persistent PowerShell process. Screenshots are routed through an attachment pipeline with pixel budget control; it supports UIA text and 8 built-in app skills. The overlay and Esc emergency stop work in conjunction with dryRun, approval, and blocklist mechanisms. Installation is available via npx dsh plugin add using file, github, or tgz paths; a DSH restart is required after adding the package.
Read MoreChinese Communication Poster Design Expert: Ensuring Rigorous Pre-Publication Visual Acceptance
This article introduces the community skill "Chinese Communication Poster Design Expert" on SkillHub (@user_cae83fba/poster-design-pro, version 2.0.0, category: design-media, tag: requires_api_key=false). This skill is designed for pre-publication visual QA and delivery review of Chinese communication posters, covering four scenarios: WeChat Official Account covers, social media covers, and event, exhibition, and product launch posters. Its core capabilities consist of four acceptance gates: four-tier information architecture, thumbnail readability verification, QR code and CTA gating, and copyright and compliance review. The skill explicitly performs only evaluation and acceptance; for image generation, it relies on tool routing rather than building its own. Therefore, it is not applicable for general image generation, complete brand VI systems, replicating official brand styles, or imitating unauthorized materials. The text explains the activation method for this type of skill based on the general SKILL.md format, and notes that official installation commands and examples were not obtained during this scrape, meaning the relevant commands must refer to the actual page.
Read Moredsh-ieee-weekly: IEEE Xplore Early Access Keyword Weekly Report
dsh-ieee-weekly is a plugin for the DSH networking tool, maintained by hxxhxhxx. It discovers new DOIs from IEEE journals through Crossref via a windowed approach, fetches abstracts and Early Access flags from Xplore, and then analyzes each entry using keywords and DeepSeek. It generates a Markdown weekly report and optionally sends it via SMTP, with DOI deduplication to prevent duplicate pushes. The npm package name is dsh-ieee-weekly; after installation from the marketplace, it can invoke the ieee_weekly tool. It also supports the ieee-weekly CLI. Configuration is centralized in config.json, with the data directory defaulting to ~/.ieee-weekly/. It is MIT licensed and requires Node.js ≥ 20.
Read MoreWeChat Official Account AI Bot Workflow: A One-Stop Process from Requirement Analysis to WeChat Backend Integration
The WeChat Official Account AI Bot Workflow (@user_f12a44b7/wx-service-bot) is a Skill categorized under ai-agent from the SkillHub community. It is at version 1.0.6, published by user_f12a44b7, has a rating of 100,000, and has been downloaded 1,256 times. It breaks down the development of a WeChat Official Account Bot into four stages: requirement analysis and functional design, AI dialogue logic code generation, server deployment and domain configuration, and WeChat backend integration. It is triggered when users request to "develop a WeChat Official Account Bot," "WeChat AI customer service," "Official Account intelligent dialogue," "integrate AI into a WeChat Service Account," or "deploy a WeChat Bot." It requires an API Key and is not applicable to general AI dialogue development without WeChat backend integration needs, WeCom (Enterprise WeChat) Bots, or pure frontend development.
Read MoreUsing ChatGPT Subscription Login to Provide Model Inference for DSH
@hackforjoy/dsh-openai-siwc is a DSH community LLM provider maintained by HackForJoy. It leverages OpenAI Sign in with ChatGPT to allow eligible Plus/Pro users to use their ChatGPT plan usage within a local DSH setup, rather than relying on an API Key or Codex OAuth. Based on the official README, this article covers the installation commands, the openai-siwc mount, optional cordis configuration, the in-conversation /siwc login flow, model selection and parameter differences, as well as key points regarding logout, unmounting, and credential storage. It also highlights plugin permissions and the attributes of the community directory.
Read MoreTencent Cloud Auto-Quoting: Converting Alibaba Cloud/Huawei Cloud Inventories to Benchmark Quotations
Tencent Cloud Auto-Quote is a community-sourced Agent Skill with the identifier @user_d3707121/tencent-cloud-quote. Version 1.0.0. Category: business-ops. Publisher: user_d3707121. The description indicates internal use. It reads application inventories from Alibaba Cloud or Huawei Cloud, automatically identifies competitor sources, applies corresponding instance mapping logic, and generates a comparison quote using Tencent Cloud list prices. Coverage includes CVM, CBS, CLB, EIP, COS, MySQL, Redis, and security products. It supports three types of requests: generating Tencent Cloud quotes, mapping competitor configurations, and querying Tencent Cloud list prices. The tag requires_api_key=true indicates that an API Key must be prepared before enabling. During writing, the official page was inaccessible; the installation command and configuration fields were not verified, and no speculation was made in the body. Only generic enabling steps were provided; please refer to the official page for details.
Read MoreSession Cleaner: Permanent Sidebar Session Deletion and Global Archive Toggle
Session Cleaner (@estelle-ge/dsh-plugin-session-cleaner) is a DSH web-sidebar client plugin maintained by gcggcg. After a second confirmation in the conversation row menu, it permanently deletes a session (including logs and projection caches) and provides a global switch under “Automation Tasks” to show or hide archived sessions across all workspaces via a single action. You can install it from the Desktop plugin page or via `dsh plugin --profile web`. Requires DSH >=0.2.1-rc.3 <0.3.0-0. This deletion is irreversible. If a running agent cannot stop within the allowed time window, deletion will be refused. The archived state is stored in localStorage. MIT licensed; please review the source code and process permissions before installing.
Read Moreforyourever/ssh-plugin-dsh: SSH Terminal, SFTP, and Server Monitoring in Harness
foryourever/ssh-plugin-dsh is a DeepSeek Harness client plugin adapted from dbx-plugin-ssh. It provides an SSH terminal, SFTP file management, and CPU/memory/disk/network monitoring within the sidebar, while registering 16 Agent tools that share connections with the interface. Installation requires preparing the plugin directory locally (non-macOS ARM64 systems require `npm run setup:backend`) and loading it into the Harness via `plugin_manager`'s `install_bundle`. By default, connection data is stored encrypted in `~/.dsh-ssh`, supporting upstream security features such as ProxyJump, read-only mode, and sudo whitelisting.
Read MoreBOPPPS Instructional Design: Deconstructing University Classrooms Based on the Six-Stage Model
The "BOPPPS Instructional Design" is a community-sourced Agent Skill on SkillHub, published by @user_97a2b6f6/boppps-lesson-design (Version 1.0.2, Category: Education) that requires no API Key. It encapsulates the BOPPPS model (Bridge-in, Objective, Pre-assessment, Participatory Learning, Post-assessment, Summary) into an executable workflow for generating instructional plans, syllabi, teaching calendars, PPT outlines, and PPT presentations for university-level classes. Supporting three granularities—entire courses, chapters, and specific knowledge points—it accommodates standard 45/90-minute sessions as well as 10–15-minute micro-lessons. Trigger scenarios include designing lesson plans, restructuring specific sessions using the BOPPPS framework, lesson refinement, drafting instructional design forms, and creating courseware, as well as addressing preparation needs for blended learning design, classroom assessment design, MOOCs, and smart courses. The official description explicitly states that it is not applicable to K-12 education or corporate training course design. Since no installation command was provided in the retrieved data, this article does not offer unverified installation methods; for actual activation, please refer to the instructions on the SkillHub page.
Read Moredsh-deepseek-web-chat: Embedding DeepSeek Web Chat in the Harness and Relaying to the Input Box
This document introduces the community plugin dsh-deepseek-web-chat (V2.4.1, MIT). It loads chat.deepseek.com within the DeepSeek Harness desktop client, supporting side-by-side columns, Quick Ask, structured relay, incremental relay, Harness review and backfill, local sensitive information masking, as well as V2.4 desktop pet and screen-share prevention features. It also details SkillHub installation instructions, engines requirements (Node≥22, dsh≥0.2.1-rc.2), plugin permissions, and security precautions.
Read MoreWangong - Architectural Design Data Collection: Transforming an Architectural Reference into a Verifiable Localized Knowledge Base
The "WanGong - Architectural Design Data Collection" is a community Skill published by user_3dd0953b on SkillHub. Currently at version 1.9.2 and classified as knowledge-management, it requires no API Key. Targeting verification needs during the preliminary and scheme design phases of architecture, it covers Volumes 1-8 of the "Architectural Design Data Collection" and "On the Composition of Architectural Space." Its core mechanism is "data-free, on-demand retrieval": it first routes to specific volume page numbers based on topics, then uses scripts to extract original text or OCR scanned pages, and finally outputs the results with PDF page numbers and excerpts to facilitate verification against the original book. The resource explicitly does not apply to judgment criteria for mandatory statutory codes regarding fire protection or structural safety (where GB 50016, GB 55037, and the "WanGong - Fire Design" skill should be used as references), construction detail development, structural calculation reports, or queries regarding non-architectural materials. For installation, please refer to the SkillHub page, as the provided material does not include specific installation commands.
Read MoreGlobal Macroeconomic Observation: Integrating Multi-Country Macro Data into a Traceable Dashboard
An Agent Skill for panoramic macroeconomic analysis covering China, the United States, Japan, South Korea, and Europe. Published by community developer user_d02c19a0 on SkillHub (Version 1.0.0), it is categorized as "professional" and tagged with `requires_api_key=false`. The skill structures the macro weekly report into eight fixed sections: Market Overview, Macroeconomic Indicators, Central Bank Monetary Policy, Investment Bank Expectations, Major Government Policies, Industrial Policies, Major Tech Events, and a Data Source List. Data retrieval operates via two channels: `westock-mcp` (Tencent Self-selected Stocks) handles macro indicators, exchange rates, stock indices, and futures, while WebSearch/WebFetch manages central bank statements, government policies, tech events, investment bank research reports, and official media news. Upon trigger word activation, the skill outputs a uniformly formatted HTML macro-analysis dashboard featuring a "rise red/fall green" color scheme (standard for Chinese financial markets) and data provenance tags. This article reviews the functional boundaries, trigger words, data sources, and output formats, noting that official documentation lacks command-line installation instructions, the coverage is fixed to the five specific regions, and the investment bank perspective is restricted to institutions such as Goldman Sachs, Morgan Stanley, and JPMorgan.
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