Three-Layer Summary and Structure Breakdown Skill for Long Articles

Article Content Summary is a Skill for deep article summarization and structural analysis based on the SKILL.md format. Its coordinates are @user_fc68c803/aehyok-summary-article, version 0.0.1, sourced from community, published by user_fc68c803, classified under knowledge-management, and does not require an API Key. It supports a three-tier output: short summary in a single sentence, section-based summarization, and structural breakdown of the article. It is suitable for various text types including news articles, blogs, research papers, reports, long-form articles, and more. The article introduces, in sequence, its positioning, core features, installation and activation, typical usage, applicable scenarios, and precautions, and provides the official link.

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dsh-custom-splash: Adding Random Splash Screen Animation to DeepSeek Harness

The DSH plugin dsh-custom-splash (v0.2.1) maintained by muning0214 randomly plays one of three built-in MP4 segments as a splash animation at every startup. You can skip it with Esc or a click, and it automatically fades out after playback. On the Windows desktop version, the title bar buttons can be hidden to blend into the scene, and it includes real-time sharpening plus a fallback logic that keeps startup from stalling. Based on the official README, this article introduces the installation command, asset replacement, the faststart requirement, and adjustable parameters, and explains the MIT code and demo asset licensing, the scope of platform verification, and the background of this community plugin.

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Cross-Border E-commerce End-to-End Assistant: Transforming the Pipeline from Product Selection to Fulfillment into an Actionable Checklist

The Cross-border E-commerce Full-Process Assistant is an end-to-end operational workbench developed by Kunlun Growth. It covers six critical stages: market research and product selection, sourcing and samples, listing creation, advertising and conversion, order fulfillment, and performance review for product expansion. Embedded with four key methodologies—3D Product Selection Scoring, Small-Batch Testing, Bifurcated Advertising Structure, and Unit Economics—it provides troubleshooting guides and compliance safeguards throughout the workflow. The tool generates directly usable deliverables and requires no API key for access.

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dsh-mobile-bridge: Use a Mobile Browser to Remotely Access DSH Desktop

dsh-mobile-bridge is a DSH client plugin maintained by msz-legend (MIT, Node>=22). It acts as an edge gateway between the desktop Web UI and mobile browsers: supporting QR code pairing, long-term device tokens, reusing the same Web interface and streaming output as the desktop, and completing tool approvals on mobile. It supports cloudflared temporary tunnels, Tailscale, LAN, and Cloudflare named tunnels; installation is via `plugin_manager install_bundle`. Exposure to the public network is equivalent to owner permissions; please read the source code and securely manage tunnel credentials before use.

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dsh-plugin-session-clock: Sidebar session time changed to WeChat-style absolute time

dsh-plugin-session-clock is a DSH client plugin maintained by msongw-design that rewrites the relative time (just now, 3 hours, 1 day, etc.) in the left sidebar session list into WeChat-style absolute time (Today HH:MM, Yesterday, MM/DD, etc.). Since the sidebar has no independent time slot, the plugin minimally invasively patches the third column text via shell.overlay and MutationObserver; the compatibility note targets DSH 0.2.1-rc.3. The article introduces display rules, edge cases, installation via the Plugins page or profile, and smoke tests.

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WeChat Official Account AI Operations Assistant (AIPDD): A One-Stop Content Production Engine

WeChat Official Account AI Operation Assistant (AIPDD) is a enterprise-source Skill categorized under content-creation. Version 1.0.1, the page displays a rating of 100,000, 1,328 downloads, 0 installations, and the tag requires_api_key=true. Positioned as a one-stop Official Account content production engine, it covers the full pipeline: input semantic routing → writing (multi-style) → typesetting → imitative writing → publishing → automatic evolution. Core features include: Input semantic routing (materials, briefs, and documents go directly to writing; Douyin links and voice inputs go first to douyin-fetch; API subtitles are prioritized with FunASR as a fallback); Writing style selection (Mimeng style mimeng-writer, 7 sets of styles khazix-writer, imitative writing); Markdown to compliant HTML typesetting, featuring a library of 24 theme components, chapter numbering, keyword underlining, and components such as quote cards, tables of contents, and code blocks; Imitative writing and de-AI-ification; Official API draft box creation and publishing, local credential configuration, and dry-run; Self-healing protocol for automatic evolution; aihot anonymous read-only hotspot query; AIPDD model gateway for unified invocation of eight types of models, with cover images at 1536×1024 provided directly via --thumb. The official description provides 8 trigger scenarios and the initial configuration process (Register at app.aipdd.work → Manage API Key to generate a Key → Silently save during conversation). The text faithfully explains information not listed on the page, such as installation commands and differences between Cursor, Codex, and Claude Code, while noting that the data is subject to the SkillHub page.

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Courseware Smart Generator: Converting Textbooks, Articles, and Scanned Documents into AI-Illustrated Courseware and Prompt Cards

"Courseware Smart Manufacturing Machine" is a community skill on SkillHub (version 1.0.12, category: education). It converts WeChat official account article URLs, Word/PDF textbooks, txt files, and sequentially numbered image series into streamlined courseware and teleprompter cards for AI glasses lectures. The process consists of seven steps: separation and extraction of text and images from source materials with automatic type recognition; text backfill for image-only pages using PaddleOCR; content analysis and summarization; domain-based recommendation of PPT visual styles for user selection; visual reconstruction; generation of page-by-page Chinese text-to-image prompts (compatible with Image 2.0, Jimeng AI, ChatGPT, Doubao); and finally, the creation of teleprompter cards with automatic synthesis of a .pptx file. For images, only keywords and hard information are retained, while narratives are placed in the teleprompter cards. The official source does not state an API key is required; the page was inaccessible at the time of writing, no installation commands were listed, and ratings and download counts are based on SkillHub metadata.

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dsh-plugin-recent-files: Retrieving Recently Opened File Artifacts in the DSH Sidebar

dsh-plugin-recent-files is a DSH client plugin (0.1.0, MIT) maintained by msongw-design. It adds a Recently Viewed section under Automation Tasks in the left sidebar, recording dsh-resource file artifacts opened in the right sidebar. It keeps up to 50 entries, deduplicates by address, and allows clicking to switch sessions and reopen items. You can install it by adding the GitHub repository on the Plugins page or by installing via pnpm add and bundles in your profile. Intended for multi-artifact conversation scenarios; does not track items opened via the system Open In. Data is stored in localStorage. Slot compatibility has been verified on DSH 0.2.1-rc.3.

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WeChat Work Existing Customer Referral Acquisition Review and Improvement Checklist | Jianshi AI

This article introduces the community Skill “Enterprise WeChat existing-customer referral virality review and improvement table | Jianshi AI” (located at @user_fccf428b/wecom-referral-referral-review, version 1.0.0, category business-ops, source community, tag requires_api_key=false). Targeting Enterprise WeChat (WeCom) existing-customer referral scenarios, it addresses the problem of not knowing which stage to adjust after running a referral-viral campaign: it decomposes the funnel into measurable stages, pinpoints the stage that most needs adjustment, delivers a referral improvement table, and reviews it with the effective referral conversion rate. It is triggered when the user provides relevant business materials, explicitly requests handling this review task, or needs the corresponding deliverable. The article also notes limitations: the official brief does not specify metric definitions, input fields, or an output template; the task clue and the crawled materials show mismatched values for rating and downloads (99633/1086 versus 100000/1199); and the official page failed to be crawled twice, so no installation command is included—users should confirm at the official address. It is recommended to align data definitions and the deliverable template before use.

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dsh-plugin-projects: Local Agent Reproduces and Fixes Defects from Project Discussions

Introducing the msongw-design DSH plugin dsh-plugin-projects (workflow): the sidebar "Projects" panel binds to local repositories, supports joining via invite codes, and syncs discussions through an ntfy relay; rules identify defects and experience points to generate kanban cards, and upon high confidence or manual trigger, a Worker opens an Agent session within the project directory to reproduce and apply minimal fixes, with results posted back by the project assistant. Includes the official installation URL, typical usage, ntfy quota, danger-full-access, and other boundary notes. Verified environment: DSH 0.2.1-rc.5; version 0.1.1 MIT.

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Enterprise WeChat Private Chat Customer Acquisition Conversion Funnel and Stage Data Dashboard: Locating Churn Nodes from Reach to Deal Closing

An introduction to the "WeCom Private Chat Conversion Funnel & Stage Data Dashboard | Jianshi AI" on SkillHub. Designed for private chat customer acquisition scenarios on WeCom, this Skill is used to pinpoint points of user drop-off between reach and transaction, deliver a stage-based data dashboard, and re-verify effective response rates to optimize conversion tracking accuracy. The article details its positioning, core capabilities, installation and activation methods, typical usage, applicable scenarios, and precautions.

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dsh-theme-scaramouche: A Scattered Soldier Theme for DeepSeek Harness (Wallpaper, Boot Screen, and Ambiance)

The DSH client theme dsh-theme-scaramouche (v0.2.0, requires DSH ≥ 0.2.0), maintained by morningluu, offers a Scaramouche-themed dark design token set, static/video wallpapers for the chat area, a splash screen, ambient music, three particle effects, and a draggable control bar—all without modifying the sidebar layout. Install via `dsh plugin --profile desktop add github:morningluu/dsh-theme-scaramouche`; a full DSH restart is required afterward. The repository includes a complete out-of-the-box version with embedded media, plus a `intro-video.cjs` replacement/clean-up workflow. Code is MIT-licensed; official Genshin Impact demo media are not covered by MIT and are provided solely for non-commercial fan demonstrations.

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dsh-scroll-bottom: One-Click Scroll to Bottom for DSH Web Interface

dsh-scroll-bottom is a DSH client plugin maintained by mojiezhenlinana that provides a circular "Back to Bottom" button above the Web interface input box. It appears when scrolling up more than 120px, features smooth scrolling, and positions itself relative to the input box coordinates. This is a pure frontend solution with no data reading or writing. This article describes the plugin's behavior, DOM anchor points, installation commands, and manual bundle methods based on the README and package.json (version 0.1.9, MIT license), with a reminder to review the source code and check compatibility with DSH 0.2.x before installation.

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Viral Cover Image Generation and Editing: Text Generation + Reference-Image-Controlled Commercial Image Skill

Introducing the Agent Skill "Viral Cover Image Generation & Editing" (@infimind/viral-cover-image-generation-editing, v1.0.0, category: design-media, published by Jirui Technology - AI Expert). Targeted at designers, retouchers, e-commerce visual artists, and creators who need to quickly edit existing images, it integrates text-to-image generation, reference-guided image generation, task saving and progress querying, and image downloading into a single workflow, covering e-commerce main images, product detail pages, advertising KVs, posters, live-streaming sales, seeding content, social media graphics, product retouching, background replacement, and character consistency. When used via AI Hive, reference images are automatically uploaded before generation, and after submission the task is automatically saved, progress is queried, and images are downloaded. The tag requires_api_key=true indicates that an API Key must be prepared before use. Both the official page and API address are currently inaccessible, and the documentation does not provide installation commands, directory paths, or configuration fields, so this article does not include specific installation steps and only identifies two items that need to be confirmed: whether the runtime environment supports pulling the Skill from that address, and the application entry point and configuration fields for the API Key. The target audience includes e-commerce visual artists, retouchers, designers, advertising operators, and social media managers, as well as those comparing alternatives to tools such as Meitu, LiblibAI, Dreamina, Tongyi Wanxiang, Midjourney, Stable Diffusion, FLUX, Adobe Firefly, Canva, and PhotoRoom. It should be noted that while reference images can control the subject and style, pixel-level consistency is not guaranteed, and commercially used materials still require copyright and platform compliance checks.

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Assessing Financial Quality: Building Financial Statement Fraud Detection as a Reusable Skill

Presents a community developer's Skill, "Financial Quality Screener" (@indiv-dennishuang/fraud-detector-plus), released on SkillHub. Based on the "Three Verticals, Two Horizontals, and One Grid" framework from Rao Gang's "The Truth in Financial Reports," it systematically examines the quality of financial data for listed companies and generates red, yellow, and green light risk levels along with investment recommendations. It is activated when users prompt for verifying financial authenticity, detecting financial fraud, assessing financial report quality, or investigating financial risks, and it does not require an API key. The article explains the Skill's positioning, core functionalities, pre-installation verification requirements (the official page fetch failed during this run, and the installation command and configuration could not be verified), typical usage (descriptive examples), as well as applicable scenarios and limitations. The risk signals are screening indicators, not audit conclusions; the version 1.0.0 is community-sourced, and users should conduct their own evaluation and perform regression testing with known cases before use.

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dsh-custom-profile: Local Customization for DSH Bottom-left Avatar and Nickname

dsh-custom-profile is a DSH client plugin maintained by mojiezhenlinana. In the "Profiles" settings, you can customize the avatar and nickname shown on the account card at the bottom-left corner. These changes are stored only locally in the browser, require no network access, and do not transmit any data. It supports uploading from local files or via a URL, drag-to-reposition in the preview, and fine-tuning with a slider. Changes take effect after saving. To install, run dsh plugin --profile web add dsh-custom-profile and restart DSH. Released under the MIT License. Note that a host update may cause the plugin to silently stop working.

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Prompt Optimizer: Transforming Vague Requirements into Structured, Iterative Prompts

Prompt Optimizer is an AI prompt optimization, evaluation, and iteration tool, located at @user_bbd159f4/lizhiwa-prompt-optimizer, sourced from community, categorized under ai-agent, version 2.4.0, requires_api_key=false. It supports system prompt optimization, user prompt optimization (basic/planning/professional three tiers), SOUL.md persona generation, targeted iterative improvement, and context-enhanced optimization; image prompt optimization covers text-to-image, image-to-image, multi-image, reference image replication, and style transfer, while image prompt evaluation covers text-to-image, image-to-image, multi-image evaluation as well as result, comparison, and iteration evaluation. The evaluation side provides quality scoring across three dimensions—design, execution, and comparison—structured comparative evaluation, and an automated rewrite loop after evaluation, with support for variable extraction and value generation. It is suitable for developers who need to repeatedly refine prompts, horizontally compare multiple versions, or maintain both text and image prompts; note that its scoring relies on its own standards, current installations are 0, and image scenarios and evaluation types need to be selected correspondingly.

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Introduction to the Legal Hotspot Analyst Skill: Organizing Legal Hotspots into Deliverable Analytical Reports

The Legal Hotspot Analyst is a professional Agent Skill maintained by user_9ec6df89, a publisher in the SkillHub community. Version 1.1.0 (Coordinate: @user_9ec6df89/legal-hotspot-analyst, Tag: requires_api_key=false), this tool tracks legal hotspots to generate daily or weekly reports, determines legal characterizations for specific cases, identifies legal perspectives within social issues, proposes law popularization topics, and produces research reports featuring comparative views and source verification. This article outlines reproducible invocation methods and usage notes: it provides analytical reference rather than legal advice, and the effectiveness of verification depends on the quality of input sources. The official page failed to fetch, and installation statistics indicate zero downloads; therefore, independent verification is required before implementation.

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Systems Thinking Skill: Decomposing Problems into Multiple Factors to Find Leverage Solutions

This article introduces the community Skill "Systems Thinking" (ID: @user_edeb7322/systems-thinking100, v1.1.0, tagged with knowledge-management) available on SkillHub. It employs multi-factor analysis to dissect problem causes and applies systems archetypes to identify leverage points and fundamental solutions. The Skill is triggered when systematic analysis, problem solving, root cause or causal analysis is required, and it requires no API key. The article describes its trigger scenarios and typical use cases, while outlining its applicable scope and review requirements.

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Enterprise Internal Control Diagnostic Expert: Structuring Consulting Advice into Actionable Plans

The Internal Control Diagnosis Expert is a consulting and policy interpretation assistant created by community developer "Neikong Zhuoyan" (user_a7676203). Classified as "professional" in SkillHub (Version 1.5.0, Tag: requires_api_key=false), it is triggered by keywords to provide standardized outputs: for consulting inquiries, it delivers a "Diagnostic Conclusion + Action Plan (Actions + Benchmarks) + Talking Points for Executives," while for policy inquiries, it offers a three-tiered interpretation (Practical Tactics → Plain Language → Professional In-depth Analysis), prioritizing practical application. Targeted at listed companies, IPO candidates, state-owned enterprises, financial institutions, and entities with over 100 employees in highly regulated industries, it is ideal for risk control, internal control, and compliance practitioners as well as management. For solopreneurs and small-scale businesses, the "Operational Strategy Advisor for Small Business Owners" is recommended.

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dsh-mojie-model-provider: Integrating Mojie site-wide models and drawing into DSH

The DSH plugin for MoJIeAIGC maps the chat and image generation capabilities of mojieaigc.com to the "mojie" provider route. It supports model dropdowns, the "/image" slash command, and four native image generation tools. API keys are stored via the MOJIE_API_KEY environment variable or through the settings page. It requires DSH 0.2.1-rc.2 or higher, and a restart is required after installation. You can install it via the plugin marketplace or by using the `tgz` command with the official releases.

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Drug-Training: A Nine-Dimensional Content Factory for Pharmaceutical Training

Drug-training is a "Professional" category Skill (v1.0.0) published by SkillHub community user user_31815b66. It deconstructs pharmaceutical industry training into nine content dimensions: onboarding boot camps, product knowledge, medical conditions, sales skills, terminal retailing, instructional design, assessment tools, on-the-job coaching, and training operations & business conversion. It includes 17 references and 6 built-in templates ready for direct data entry. The verified templates include the New Hire Training Assessment Table, L2 Test Blueprint, Kirkpatrick L3 Behavior Follow-up Table, and Training ROI Calculation. It features a built-in foundation module (foundation.md) that reuses the 🔍/💭 data calibration rules and clinical profile framework. It has a clear division of labor with drug-hr regarding H6: this Skill acts as the content factory, while drug-hr handles the operational loop. It supports switching between "Rookie" or "Senior/Deep" tiers based on the user's proficiency level. The document outlines the nine-dimension scope, built-in templates, depth tiers, trigger examples, and usage precautions. Due to the official page being inaccessible, installation commands and configuration fields were not fabricated; instead, it only lists verified information such as requires_api_key=false and pricing_type=alipay.

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dsh-dingtalk-self: DSH Plugin for Auto-Replying to Private Chats with Personal DingTalk Identity

`dsh-dingtalk-self` is a DSH workflow plugin maintained by MinEagle. It reads messages from specified DingTalk private chats via dws personal OAuth, forwards them to a bound DSH workspace where agents query resources in a read-only manner to generate replies, and then sends the responses as the user (not a bot account). It supports three modes (draft, confirm, and auto), simulated replies, outbound safeguards, and optional Markdown, images, and attachments. Requirements include macOS, `dws auth login`, and DSH 0.2.x. Configuration is completed in the "DingTalk Auto-Reply" settings page. This article summarizes installation steps and typical usage based on the GitHub README and package.json.

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dsh-sakurafrp: Hosting SakuraFrp Intranet Tunneling in DSH

dsh-sakurafrp is a DSH networking tool plugin (npm 2.3.0, MIT) released by MentholTea, replacing SakuraLauncher in both the settings page and the sidebar. It hosts frpc and SakuraFrp API tunnel lists along with local tunnel creation, bidirectional port synchronization, traffic usage and remaining percentage, public HMAC password gates, and Host fence reverse proxy. Installation is via the official command `dsh plugin add dsh-sakurafrp` or the Release tarball. Unlocking follows a four-step sequence—keys → tunnels → local ports → password—disabled by default. The README advises reviewing AI-collaboratively generated code, binding HTTPS subdomains, and notes that the plugin runs with DSH process privileges.

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AI-Powered Meeting Minutes Master: Turning Post-Meeting Organization into Structured Output

The Smart Meeting Minutes Master is a Skill in the office-efficiency category, published on SkillHub by the community account user_310c0202. It is based on the general-purpose SKILL.md format. Current version: 1.4.2. Source: community. No API Key is required for invocation. Targeting the post-meeting minutes organization phase, it includes 12 meeting-type templates such as weekly meetings, project reviews, brainstorming, client communication, interviews, and retrospectives. It extracts 8 major categories of information from raw meeting records—attendees, core topics, key decisions, to-dos (including owners and DDLs), points of disagreement, risk items, and more—and applies de-colloquialization, de-redundancy, and de-duplication to output structured minutes. Export is supported in multiple formats including Markdown, Feishu, and Notion. The article states truthfully that no verified information on installation commands or configuration fields can be found in the public materials; before use, details should be subject to the official page.

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