WeChat Official Account Professional Publishing Engine: Three-Step Markdown-to-Draft Publishing

Professional WeChat Official Account publishing and formatting engine, maintained by SkillHub user user_f12a44b7 (Version 1.0.0, Category: content-creation). The core workflow follows the path of Markdown → WeChat-compatible HTML → Drafts. It features three built-in theme color schemes, smart card layouts, WeChat compatibility self-checks, and UTF-8 secure delivery. Trigger words include "Publish Article," "WeChat Formatting," "Push Draft," and "WeChat Article Publishing." It is not applicable to non-WeChat Official Account platforms, WeChat Channels, or WeCom. Tag: requires_api_key=true. It relies on an external API Key, though the credential name and configuration method are unspecified in the documentation. As installation commands and client differences have not been verified, it is recommended to consult the official page for configuration details.

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Ningmeng Cloud Finance & Tax Invoice Verification: Introduction to the Invoice Verification and Business Analysis Skill

This section introduces the Invoice Verification and Business Analysis Skill (Version 1.0.7, Category: Professional) from the Lemon Cloud AI Finance & Tax Open Platform (`@org-422lyynw/invoice-verify-analysis`). This skill is compatible with invoice materials in various formats, including Excel lists, PDFs, and images. It automatically extracts financial information from invoice faces, interfaces with the invoice verification system to authenticate invoices and check their status, and flags abnormalities such as voided or red-flushed invoices. Additionally, it aggregates data to generate standardized verification ledgers and business analysis reports. It is suitable for scenarios such as fiscal and tax audits, supplier due diligence, contract payments, and commercial risk control. An API Key is required for configuration; please refer to the official page for installation commands and configuration fields.

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dsh-better-push: Native macOS Notifications for DeepSeek Harness

dsh-better-push is a third-party DSH client plugin maintained by ceasarXuu (v0.1.0, MIT). On macOS, it converts events such as turn completion, pending tool approval, questions, errors, background tasks, and workflows into system notifications branded as DeepSeek Harness; clicking the banner opens the corresponding Session. It requires DSH version 0.2.1-rc.3 or higher but below 0.3.0. Installation is available via the market index, the Plugin Manager, or the CLI. Settings are located under Settings → Notifications, with independent toggles for quiet hours, foreground notifications, and subagents. The plugin runs with the permissions of the DSH process; please review the source code before installation.

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dsh-whale-pro: DSH Desktop Little Whale Simple/Lite Version

dsh-whale-pro is a DSH client plugin maintained by Cdkgfp, forked from DeepSeek-Balance-Whale-Widget. It displays a persistent status bar for Liang Wenfeng/Liang Wengu, timeline, and balance on the whale's head, while providing inline settings, automatic tooltip bubbles, and local daily usage tracking. The web installation command is `dsh plugin --profile web add github:Cdkgfp/dsh-whale-pro`; desktop users must use `plugin_manager`. The current version is 0.4.4, which relies on the host authentication interface. Data and keys are stored separately in the local `$DSH_HOME` and the DSH credential service, respectively.

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dsh-persona-dafeiyu-solo: A Persona Plugin Featuring Only "Big Fat Fish"

The DSH persona plugin `dsh-persona-dafeiyu-solo`, maintained by Cck423, ships with a single built-in persona, "Dafeiyu". The persona content is stored independently in `persona.md`, and modifications take effect on the next request without requiring a restart. It retains three-tier activation scopes, import/export capabilities, and a bilingual Chinese/English interface. Its API and storage paths feature a "solo" suffix, enabling coexistence with the upstream version. The article introduces installation commands, rules for file modification activation, the loopback interface, and applicable scenarios, while reminding users to review the source code and the MIT License prior to installation.

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video-decomposer: Decomposing a Video into Reusable Shot Archives

video-decomposer is a skill designed for structured video content decomposition, located at @user_f13d61ff/video-decomposer, version 1.0.0, sourced from the community, and categorized under design-media. It analyzes local video files or public video URLs from the perspective of a seasoned cinematographer, producing outputs including scene settings, character profiles, props, shot language (shot type/angle/movement), shot-by-shot storyboard scripts, and AI video prompts optimized for Sora, Runway, Kling, Veo, Kling, and Jimeng. Trigger words cover both Chinese and English terms such as video decomposition, film dissection, storyboard, shot list, cinematography, etc. This article explains its capabilities, enablement entry points, usage limitations, and honestly notes unverified installation commands and configuration fields.

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dsh-session-sources: Retrieve images, files, and links from the current DSH session

Session Sources is a DSH client plugin maintained by CCColastic. It indexes images, attachments, and explicit HTTP/HTTPS links from user messages within the current conversation, providing a Sources panel and an optional better-sidebar tag. It supports filtering, previewing, downloading, Re-attach, and View source. It does not modify the DSH core and does not automatically fetch data from the network by default. It requires DSH >=0.2.1-rc.5 and <0.2.2-0. The installation command is `dsh plugin --profile <profile> add github:CCColastic/dsh-session-sources`. Known limitations include the inability to navigate directly from the panel to the source message in the main chat.

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Amazon Review Insights: Converting Review Evidence into Actionable Improvement Items

*amazon-review-insights* is a skill from the SkillHub community located at `@indiv-sparkbayes/amazon-review-insights`. It is classified under the data-analysis category with a requires_api_key=true tag and is currently at version 1.2.6. By inputting Amazon review text or exported data, it outputs quantified high-frequency issues, negative review analysis, latent criticism in five-star feedback, improvement recommendations and trend tracking, with support for incremental updates. This article introduces its core capabilities, official repository, installation and usage instructions which should be checked against the SKILL.md file, as well as its applicable scenarios and compliance limitations.

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dsh-carrick-optimize: Pre-warm Session List at Startup to Reduce First-Screen Wait Time in History Sidebar

dsh-carrick-optimize is a DSH memory-type plugin published by Carrick-K7. After the Web profile starts, it prewarms ctx.sessionPersistence.list() and uses a stale-while-revalidate cache to speed up session/list, invalidating the cache on session creation and destruction. The README reports that, on DSH 0.2.1-rc.3 with 801 sessions, the first list latency drops from approximately 306–376ms to 47–94ms. The article provides the official git and tgz installation commands, the cordis.patch entry, and configuration options such as listTtlMs and prewarmList. It also explains boundaries such as not accelerating full decoding of arbitrary cold sessions and the need to verify the patch after upgrading DSH.

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Off-Peak Sending (dsh-offpeak-send): Queuing during peak hours; Automatic delivery at half price during off-peak hours.

Introducing the community DSH plugin @carbonzhao/dsh-offpeak-send: it adds an “Off-peak” toggle in the input area to intercept or pass-through delivery according to the Beijing-time peak/off-peak rules. Peak-time messages are queued until the next off-peak start plus a buffer, and are then automatically delivered by the host as a follow-up. It supports dock management, persisting attachments to disk, and state persistence across restarts. The article covers the pricing model, installation command `npm i @carbonzhao/dsh-offpeak-send`, typical usage, and known limitations, helping workflows align costs with DeepSeek half-price periods.

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Claw-graceful-recovery: Rescuing Frozen WeChat Commands and Restoring Standby Status

`claw-graceful-recovery` is a community Skill on SkillHub published by `user_2ee93f2d` (version `1.1.0`, category `ai-agent`, source `community`, rating `100000`, downloads `998`, tag `requires_api_key=false`). It addresses the most common incident in the WeChat command chain: the Agent is blocked halfway through execution by permission denial, system restrictions, or access refusal, and then stalls, loops retries, or stops accepting new commands. After identifying permission-related errors, this Skill performs recovery actions: it skips the current permission error, clears stuck tasks, and returns the Agent to a recovery-ready or recovery-standby state, rather than letting a bad command drag down the entire session. Trigger phrases cover Chinese and English error messages and user colloquialisms, including `权限不足`, `没有权限`, `Permission denied`, `EACCES`, `Operation not permitted`, `拒绝访问`, `卡住了`, `无响应`, `Claw卡死`, `指令卡住`, `微信指令卡住`, `执行失败权限`, `恢复就绪状态`, `跳过权限错误`, `清除当前任务`, `强制恢复`, `恢复待命`. The text explains applicable scenarios and precautions: it is a state recovery tool, not a privilege escalation tool; the root cause of permission issues still needs to be fixed manually; community-sourced content should be reviewed in source code before production use; whether clearing the current task can roll back completed external operations is not addressed in the materials; common phrase triggers carry a risk of false triggers; the public installation count is 0, with no deployment feedback available. Since the public page does not provide installation commands, directory paths, or configuration fields, this article only gives the official address and version verification method, and does not provide unverified installation steps.

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capxh73/dsh-plugin-herdr-win: Integrating Herdr into DSH on Native Windows

capxh73/dsh-plugin-herdr-win is a Windows-adapted fork of NAMEWTA/dsh-plugin-herdr 0.0.3, providing 19 herdr_* tools, a Web dashboard, and Herdr session presets. It adapts named-pipe transport, tasklist process detection, and PowerShell/CMD installation instructions. Plugin 0.0.3 requires Node 24+ and a specified DSH version, and is installed to the web profile via namewta-dsh-plugin-herdr-0.0.3.tgz from Releases. Environment checks target the DSH Host rather than the browser OS; it does not automatically install Herdr. MIT licensed, categorized as a SkillHub client.

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DeepSeek Dock: A Persistent Left Dock and Codex-style Interface for DSH

DeepSeek Dock (captainyufei/dsh-dock) is a DSH client plugin for macOS / Harness 0.2.1-rc.5, offering a customizable left Dock, Codex-style unified panes, sessions pinned across workspaces, prioritized sending of Home drafts, and MP4 video previews in the right panel. To install, paste the GitHub repository URL into Plugins, or run `dsh plugin --profile web add` for the web profile. The plugin does not modify the host core; please verify the source code and license before use.

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Transsioner-Link: Integrating local lark-cli read-only capabilities into DSH tools

Maintained by canadaeee, transsioner-link (npm: transsioner-cli) spawns lark-cli within the DSH host process to register capabilities—such as cloud documents, spreadsheets, multidimensional tables, whiteboards, comments, minutes, and group messages—as read-only tools. It stores no credentials and caches no content, with permissions equivalent to the user's local Feishu login state. The article details the causes of token refresh failures resulting from the bash sandbox, installation methods (GitHub address or Release tgz), prerequisite scopes, primary feishu_* tools, and the configuration and security boundaries of cordis.patch.yml.

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dsh-topic-wall: Multi-session Conversation Wall DSH Client Plugin

dsh-topic-wall (v0.4.1, MIT) is a DeepSeek Harness client plugin that presents sessions as a card wall organized into three sections: pinned, active, and chat collections. It supports reading real history within cards, sending and canceling sessions/prompts, approvals, and switching models per session, with three themes—iOS, QZone, and Hacker Code. To install, follow the README and run dsh plugin --profile desktop add <local-path-or-tarball>. It depends on client APIs such as sessions and uiSession; once a session is archived, it is removed from the wall according to workspaces.archivedSessionIds.

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Introduction to the Skill for Pharmaceutical Sales Forecasting and Business Value Quantitative Assessment

This article introduces a skill for pharmaceutical product sales forecasting and quantifying commercial value. Published by the Baitong AI service platform, it is categorized as business-ops, sourced from enterprise, version 2.0.0, and located at @baitongai/pharma-sales-forecast-value-assessment. Its core mechanism is three-mode dynamic switching. Among the modes explicitly listed in the official description, one is investor_pitch (an investor pitch valuation model); the remaining mode names are truncated in the available materials and have not been added in this article. It is officially marked as requires_api_key=false (no additional API key is required to enable it). Because the materials do not provide separate installation commands for Cursor, Codex CLI, or Claude Code, nor reproducible prompt examples, this article only describes verifiable installation entry points and usage boundaries, and does not fabricate fields or cases.

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Memory Token: A Skill about Memory and Identity

Memory Token is a community-sourced Agent Skill of the ai-agent type, located at coordinates @user_841c91c3/0819. Currently at version 1.0.0 and published by user_841c91c3, it is tagged with requires_api_key=false, indicating that no additional API Key configuration is needed. Its official description is a rhetorical question: "Is the token of memory truly memory, or the past of identity?" without defining specific functional boundaries. The article lists verifiable metadata: the page scrape results show a rating of 100000 and 1017 downloads, while task clues indicate a rating of 99193 and 983 downloads. The inconsistency between these two sets of numbers suggests that SkillHub's statistical metrics may have changed, and real-time data on the installation page should be prioritized during selection. Since both the official interface and web address failed to scrape during this session, the material does not provide installation commands, directory structures, configuration fields, or reproducible examples; therefore, the text does not provide installation steps or speculate on input/output formats. The target audience includes developers looking to explore the relationship between memory and identity, or those needing to horizontally compare the metadata metrics of community Skills. Key considerations include: the description is a rhetorical question rather than a functional specification; the publisher is a community account and not part of the official maintenance sequence; ratings and download counts vary between different snapshots; and the version number remains 1.0.0. The conclusion is that its value lies in raising questions rather than providing ready-made solutions. It is suitable for proof of concept but not ideal as a definitive long-term memory or identity management tool. Official address: https://api.skillhub.cn/user_841c91c3/0819; SkillHub page: https://www.skillhub.cn/skills/user_841c91c3/0819.

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rpm-05-Analysis of Regional Competition Landscape: Regional Competition Analysis Skills for the Distribution of Baitong Platform Authorization Packages

The rpm-05-Regional Competitive Landscape Analysis (Market Expansion) skill, released by the Baitong AI Service Platform, is located at @baitongai/rpm-05-regional-competitive-landscape. The current version is 2.0.0, categorized under data-analysis, and sourced from enterprise. The skill is distributed based on authorized packages from the Baitong platform and provides regional competitive landscape analysis capabilities, with the tag requires_api_key=false. This article introduces its positioning, verified features, prerequisites for activation, applicable scenarios, and considerations, and provides its official address.

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Workspace Split View: Viewing Multiple Workspace Sessions Side-by-Side in DeepSeek Harness

dsh-plugin-workspace-split (v1.2.4) maintained by byf1999 displays multiple real sessions side-by-side in up to a 3×3 grid within the DeepSeek Harness Web UI, supporting switching workspaces and sessions by grid cell, sidebar following, in-cell file preview and change diffs, with the layout persisted in localStorage. Requires dsh >= 0.2.1-rc.3, and can be installed via Plugins Discover or plugin_manager install_bundle.

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dsh-as-one: Embedding As One Gateway and Panel into DSH

bvbhu/dsh-as-one (@as-one/plugin) is the DSH Cordis plugin for the As One gateway, integrating core scheduling routes and panel-ui into DeepSeek Harness. It exposes GET /v1/models and POST /v1/chat/completions at ctx.webServer, embeds a management panel in the sidebar, and writes as-one model groups into the DSH native selector via an LLM adapter. Installation requires the github:owner/repo format with the repository root serving as the plugin package; it requires Node >=22.5.0, is currently at version 0.4.20, and is licensed under MIT.

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The Calm Homework Coach: Turning Procrastination and Conflict into Actionable Intervention Plans

The 'homework-companion' Skill, titled 'Bed-Parenting', on SkillHub (version 1.0.12), is published by Nanchang Pengkan Zhichuang Business Consulting Co., Ltd. and falls under the education category. Rather than providing problem-solving explanations or answers, it breaks down homework supervision conflicts into three actionable interventions: tailored solutions based on procrastination types, parental emotional circuit breakers, and homework time allocation schedules. It is tagged as a paid product and requires no API key. This article faithfully highlights the discrepancies between the clue materials (AI study companion, photo-based problem solving) and the features on the official page, and notes that the official page does not provide installation commands or usage examples.

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dsh-superagent-win: Installing Superagent into DSH on Windows with Command-Based Isolation

buyou-claw/dsh-superagent-win is an unofficial Windows port of deepseek-ai/dsh-superagent-prototype, loaded as a DSH bundle to provide Superagent in the sidebar. Compared to the upstream version, it patches POSIX limitations and uses `isolateEnvironment` to pass the agent's PATH and git identity with each worker command, avoiding modification of the entire DSH process, thus allowing it to be integrated into daily profiles. Based on the README, the article outlines the prerequisites (dsh 0.2.1-rc, Node 22.19+/24+, pnpm, gh), link installation, `cordis.patch.yml` configuration, and panel source and policy settings, while listing Windows shims, testing, and prototype limitations.

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Wushuang WeChat Official Account Article Download: CDP-based Local Backup

This article introduces the SkillHub community skill, "无双公众号文章下载" (Chuisoft WeChat Article Downloader, ID: @user_fd9e6943/chuisoft-wechat-article-downloader, Version 2.0.1, Category: data-analysis, No API Key required). Instead of scraping interfaces, it utilizes the Chrome DevTools Protocol (CDP) to drive the local Chrome or Chromium-based browser. It automatically enables remote debugging and guides the user to scan a QR code to log into their own WeChat Official Account admin console before initiating downloads. Each article is saved as both HTML and Markdown. The tool supports an initial full download, followed by incremental updates based on the timestamp of the last downloaded article. It also offers two overwrite modes: full download or specific date ranges. Operating with zero external dependencies, it relies solely on the web browser and Node.js built-in capabilities. The article concludes by outlining limitations, such as the target audience and requirements regarding login status and incremental records, along with the official download link.

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Xianxia Novel Writing Skill: Encapsulating the Creative Workflow into a Skill

The "Xianxia Novel Writing Skill" is a writing-assistant framework for xianxia-themed fiction, released by community developer user_bf_9f273a as version 1.0.0 and categorized under "content creation". It consolidates five components—worldbuilding, cultivation-realm system, outline planning, character management, and writing standards—into a unified framework. Authors can input their own settings and proceed within the framework to draft the main text, addressing issues commonly seen when general-purpose LLMs write xianxia novels, such as the tendency to repeatedly restate settings/lore and produce inconsistencies. The article outlines the skill's positioning, core features, how to install and enable it, typical usage, applicable scenarios, and limitations.

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dsh-chat-find: Browser-Style Find in DSH Chat View

dsh-chat-find is a DeepSeek Harness client plugin maintained by bulzz1233 that provides a Ctrl+F find bar in the conversation view, searching rendered user messages, assistant output, and tool cards. It supports case-sensitive matching, whole-word search, search history, and Enter/F3 navigation. During streaming output, it debounces re-searches via MutationObserver and anchors the current match. Requires Chromium 105+ and the CSS Custom Highlight API; install by passing the absolute path of a local bundle to plugin_manager install_bundle. MIT-licensed; it only searches rendered text in the DOM, not regex.

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