WeChat 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.
Read MoreConference Speech Recognition: Multi-Backend Speech Transcription Skill
Meeting Speech Recognition is a multi-backend speech recognition Skill designed for videos, audio, and meeting recordings, located at @user_8bdb3925/video-summarizer-plus (Version 1.0.0), sourced from the community, and categorized under office-efficiency. It integrates multiple recognition engines including local Whisper, OpenAI, and Alibaba Tongyi Qianwen DashScope, supports automatic fallback switching, and is compatible with the MCP protocol. The tag `requires_api_key=true` indicates that at least one backend requires an API Key, although the retrieved materials do not provide specific configuration fields. The article outlines its positioning, verified capabilities, usage boundaries, and applicable scenarios, without fabricating installation commands, parameters, or user feedback.
Read Moredsh-cindy-host: Connecting the Cindy mobile client to DSH on the Host side
dsh-cindy-host is a DSH client plugin maintained by chanyuenpang. On the Host side, it connects to Cindy and DeepSeek Harness, providing mobile access to sessions, messages, approvals, todo lists, and goals, as well as an input-delivery v1 SQLite ledger. Version 0.1.31 targets DSH 0.2.1-rc.5 (also compatible with rc.3/rc.4) and requires Node.js >=22.16. You can install dsh-cindy-host@0.1.31 via the Desktop Plugin Manager or by using `dsh plugin --profile`; please reload the Host plugin after installation. The plugin runs with the permissions of the dsh process; backup of the profile ledger state is required before rolling back.
Read MoreVibbit Skills: Integrating Vibbit Sourcing and Content Production into Agents
Vibbit Skills is an Agent Skill in the design-media category, sourced from the community. It is identified as @indiv-vibbit/vibbit-skills, Version 2.18.6. This skill is designed for users who specify Vibbit or require Vibbit for product selection, creation, analysis, content continuation, and optimization. It covers the entire workflow, including product selection research and strategy, content planning, script and storyboard development, image, audio, and video generation and processing, video translation, reference analysis, final film review, and localized revisions. The provided materials do not specify installation commands, the SKILL.md path, or API key configuration fields; they only confirm that the tag is `requires_api_key=true`. Therefore, you need to complete the configuration on the SkillHub page or through CLI help before enabling it.
Read Moredsh-dafeiyu-dot (Big Fat Fish): Emotional Voice, Memory, and QQ Integration in the DSH Companion Plugin
Dafeiyu (wz20/dsh-dafeiyu-dot) is a companion plugin for the DeepSeek Harness client. It centrally manages characters, Whale-Girl mode, emotional voice synthesis (local VoiceStudio/audio.cpp or BreezeBlue API), source-tagged long-term memory via memoryPalace, NapCatQQ OneBot v11 QQ integration, half-duplex voice calls, and bookkeeping widgets within the sidebar configuration center. The project is released under the MIT license and is currently in public beta, with a DSH baseline of 0.2.1-rc.3 and plugin version 0.11.1 or later fixing Windows static resource path issues. Installation can be performed by pasting the GitHub repository URL into DSH or using the `dsh plugin --profile desktop add` command. Remote models and TTS process data for corresponding sessions and scripts; please review the source code and privacy statement before use.
Read MoreContent Distribution | Multi-Platform Traffic Generation: Breaking Down Long-Form Content into Building Blocks to Determine Distribution Strategy
This Skill does not handle rewriting; it focuses on repurposing decisions. It deconstructs long-form content—such as WeChat official account articles, podcast transcripts, livestream replays, and video scripts—into six types of raw materials: stance reversals, counter-intuitive data, actionable steps, downplayed premises, real cases, and FAQs. It then determines the optimal platform (Douyin, WeChat Channels, Xiaohongshu, WeChat Official Account, WeChat Moments, or Zhihu) and posting schedule for each material. The workflow follows a nine-stage linear process: Audit (four hard metrics; rejection if standards are not met) → Slicing → Platform Matrix → Matching → Rhythm → Crash Prevention (timeliness, redundancy, plagiarism detection criteria, compliance) → Handoff (plain-language instructions for the downstream rewriting engine) → Review → Boundaries. It includes four engines: Audit Scoring, Slicing Suggestions, Platform Matching, and Scheduling. It strictly reuses original content without content spinning, scraping, or infringing collages. Rewriting is delegated to downstream content engines. Note: The official address was inaccessible during capture; installation methods must be confirmed on the official page.
Read MoreMedical Research Writing Assistant: An Aid Skill for Chinese Medical Papers from Design to Submission
The Medical Research Writing Assistant is a Skill for full-process writing assistance for Chinese medical research papers, published by community developer user_588f21b2 (Version 1.2.0). It covers a four-stage workflow: research design, reporting guideline checklists (generating checkable CONSORT/STROBE/PRISMA/STARD/CARE/ARRIVE checklists in one click), intelligent statistical method recommendations (including assumptions and key reporting points for medical papers), and a pre-submission mock peer review sheet. It also supports trigger words such as medical research papers, reporting guidelines, statistical method selection, and SCI submission. This article introduces its features, enabling information, typical usage, and applicable boundaries, making it suitable for researchers writing Chinese medical papers during proposal development, manuscript drafting, and pre-submission.
Read MoreFull-Life Memory: DSH Bionic Lifelong Memory via Token Cues
Full-Life Memory (@tuhengyu/dsh-full-life-memory) is a memory plugin developed by Toctsu for DeepSeek Harness. When the context approaches the threshold, it distills previous turns into keywords and seed tokens via regular expressions and writes them to SQLite; it then removes the original text from requests via surface replacement. When needed, memories can be reconstructed based on clues using `recall_from_clues` or the `flm` CLI. It supports multi-scenario `sceneOverrides`, `isolateByUser` for group chats, and integration with AstrBot via a shared database. Installation is performed using `plugin_manager install_bundle`; it requires Node ≥24 and is peer-compatible with dsh-agent/dsh-tools 0.2.x.
Read MoreDSH Prompt Prediction: Next-Line Gray Suggestion Text in an Empty Input Field
dsh-prompt-prediction is a DSH client plugin maintained by QingJ01. After the Agent finishes a response, it predicts the next prompt in gray text within the empty input box; pressing Tab or ArrowRight inserts the text as an editable draft without sending it automatically. It supports npm installation, interface and `cordis.patch.yml` configuration, local filtering, and optional audit logging. It declares compatibility with DSH versions from 0.2.1-rc.5 up to (but not including) 0.3.0; note that additional model requests may incur billing.
Read MoreDingTalk Operation Optimization Guide: A Pitfalls Handbook Based on Hands-on Experience with dws CLI
This is a practical pitfall-avoidance manual published by the community, based on real-world troubleshooting experience with DingTalk Workspace CLI (dws) v1.0.1. It falls under the ai-agent category and requires no API Key. Rather than serving as a command dictionary, it documents pitfalls and decision rules covering seven common issues: message sending selection, dynamic parsing and self-healing of openDingTalkId, re-login after account switching, event listener deduplication, one-step local file sending, garbled character prevention for Chinese parameters, and the dws recovery closed loop. For the command reference, consult dws --help and the 'DingTalk Suite' Skill; this manual integrates with and complements that Skill. The article covers its purpose, core features, installation and enablement (specific installation commands are not provided in official documentation; loading must follow the general SKILL.md format), typical trigger scenarios, and usage considerations.
Read MoreHS Code Classification and Customs Declaration Compliance Check: Translating Product Descriptions into Pre-Customs-Declaration Compliance Audit Reports
A general SKILL.md skill for foreign trade merchandisers, customs brokers, and cross-border e-commerce sellers. Coordinate: @user_45bdd4b5/hs-code-compliance-check. Community-sourced, version 1.4.0, category business-ops, no API Key required. Input a Chinese–English product description to generate a structured "Pre-Declaration Compliance Health-Check Report" covering: 1–3 candidate HS codes with confidence levels and classification rationale (citing the General Rules for the Interpretation of the Harmonized System); a list of regulatory documents (commodity inspection / dual-use items / licenses, with letter-code quick reference); export tax rebate rates verified against the latest annual rebate database, with alerts for zero-rated or reduced categories; declaration elements in pipe-delimited format (use / material / composition / dimensions / power / capacity / voltage, etc.); dual-use and U.S. / EU / UK / UN sanctions screening (including Russia-specific FDP / CHPI / EUU); four customs "Statement of Circumstances" templates for classification disputes, export controls, packaging non-compliance, and document discrepancies; and annual validity verification of HS codes based on the current "Import and Export Tariff" and the rebate database to address forwarder alerts about expired HS codes. The description also states the boundaries of capability: it does not replace customs rulings; cross-year scenarios require re-verification; and screening results are compliance alerts, not formal conclusions.
Read Moredsh-modpack: Packaging DSH plugins into shareable modpacks
The dsh-modpack in KERBALMans manages DeepSeek Harness plugins in the same way Minecraft (MC) modpacks do: it reads the profile manifest, exports a .dshmodpack.json after selecting items, supports a category tree, optional auto-classification, and configuration snippets, and previews installations through the pluginManager upon import. Based on the README, this article recommends installing tgz packages from GitHub Releases, outlines version range and pinning strategies, and reminds users to avoid mistakenly installing the same-named npm package as well as to pay attention to modpack security considerations.
Read MoreWeChat Pay Reconciliation Automation: Orchestrating V3 Reconciliation, Refunds, and Member Unbinding
This article introduces developers to the paid Skill on SkillHub: "WeChat Pay Reconciliation Automation · Practical Runtime Edition." Upon payment via the WeChat Agent Pay X402 protocol, users can execute three core modules: automated reconciliation (V3 bill downloading + dual-dimension matching + anomaly alerts), refund automation (V3 refund API + status synchronization), and automated membership unbinding, returning a structured reconciliation report. A built-in demo mode allows for seamless execution without credentials; configuring merchant credentials switches the system to call the real WeChat Pay V3 API. The article provides coordinates, official addresses, and a two-step typical usage guide (starting with the demo followed by real-world configuration), while outlining the target audience, payment details, and credential precautions. The information is sourced from the SkillHub crawl page.
Read Moredsh-napcat-bridge: Run DeepSeek Harness Agent in QQ Group and Private Chats
dsh-napcat-bridge is a DSH client plugin maintained by Jiangsubei that runs agents in QQ group chats and private conversations via NapCat OneBot 11 reverse WebSocket. The plugin provides qq-session presets and silent outbound messaging via send_qq_message, two-layer Markdown memory, emoji and slang tools, permission/blacklist controls, and forty WebUI hot-configurable options. Installation uses the official command `dsh plugin add dsh-napcat-bridge` (or the web profile), and requires configuration of ws_token, bot_qq, and alignment with NapCat's reverse WebSocket. Requires DSH >= 0.2.0 and Node >= 22.12.0.
Read Moredsh-delivery-board: Keeping Plans, Owners, and Handovers Alongside the Codebase with delivery.json
The dsh-delivery-board (v0.3.0, MIT), maintained by jerryxff26-alt, writes stage pipelines, owners, handoff audits, and client weekly reports into delivery.json. The kanban board and Timeline are homomorphic projections, with no SaaS involved. It supports both a standalone CLI via npx github and installation via `dsh plugin --profile web add`, providing a /delivery workflow on DSH 0.2.x-rc. It is suited for single-repository, PR-reviewable delivery collaboration.
Read MoreStartup Coach: Turning "Understand First, Then Output" into a Reusable Pipeline
"Startup Coach" is a general-purpose project analysis Skill (@user_29e862bc/startup-coach, v1.0.0, community-sourced, categorized under business-ops, no API Key required). Designed to prevent analysis failures caused by "generating output without understanding," it breaks the workflow into three stages: "Deep Understanding → Innovative Upgrade → Article Generation." It prioritizes understanding, followed by innovation, and finally drafting, while incorporating a built-in review and proofreading mechanism involving at least three iterations. It provides both AI-related and non-AI-related innovation suggestions, making it suitable for scenarios such as business model analysis, product innovation design, and project evaluation, where deep comprehension is required before output. It is activated by trigger words such as "deep analysis," "business model," "product innovation," or "need to understand before outputting," or when the user explicitly requests to "understand first," "execute step-by-step," or "do not generate directly." This article covers its positioning, core capabilities, installation and activation, typical usage, and usage precautions.
Read Morestory-import: Reverse-engineering existing novels into a standard project directory
story-import is a Claude Code Skill on SkillHub, maintained by RealQ, version 1.0.0, categorized under content-creation, with the tag requires_api_key=false. It reverse-parses completed novels (drafts or finished works) into a standard project directory structure, allowing old manuscripts to directly enter the subsequent writing workflow of story-long-write / story-short-write. It does not create new parsing logic but reuses the decomposition pipeline of story-long-analyze / story-short-analyze, automatically routing to the long-form or short-form pipeline based on the manuscript's length, without requiring manual user specification. Triggers include /story-import and natural language expressions such as "import novel," "reverse parse," "import," and "import my book." According to the available information, this Skill has been downloaded 1,325 times with 0 installations. As the official documentation does not provide installation commands and configuration fields, this article does not provide unverified installation steps. It is recommended to first confirm the distribution method on the official page. When using it, please note: the output is only a directory structure, and the parsing results need to be manually verified; for manuscripts at the ambiguous boundary between long-form and short-form, you need to confirm which pipeline they fall into; and ensure that the corresponding analyze-type Skills are available in the current environment.
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