dsh-qq-access: Hosting NapCat in DeepSeek Harness to Integrate QQ Private Messages, Group Chats, and Space Messages
dsh-qq-access is a DeepSeek Harness client plugin published by Applepinea. On Windows x64, it can host NapCat v4.18.41, automatically generate API and reporting configurations, and start/stop alongside Harness. It supports automatic replies in private chats, @-mention replies in group chats, conversion of images into model-visible content, local message archiving, and plain-text posts to QQ Zone, with a QQ integration management panel available in the left sidebar. Installation requires Node 22.14+ and Harness (refer to 0.2.1-rc.4), and the plugin is enabled via `npm ci`, `node cli.mjs setup`, and `dsh plugin add` with a local tgz file; Linux/macOS and other platforms use an external NapCat mode. Before use, please verify the source code, license, and the validation scope descriptions in the README.
Read Moredsh-homepage: DSH Sidebar Card-style Homepage
dsh-homepage is a DSH client plugin maintained by AngelosZou that provides a customizable card wall in the sidebar, aggregating entry points for sessions, projects, tools and token usage, devices and storage, core versions, Skills, and plugin security review; it supports web profile installation, external plugins registering cards, and an optional homepage model tool. Based on the official README, this article covers installation commands, environment requirements, the responsibilities of each card, and usage notes.
Read Moredsh-skill-palette: Skill palette beside the input box and call traces below answers
dsh-skill-palette (SkillMate) is a DSH client plugin maintained by AlLHHH. It provides a skill list beside the input box—classified by purpose, searchable, with recently used and favorites—click to insert /skill name. Built with around 90 Chinese descriptions, untranslated ones can be written into skill-zh.json via the default model. It optionally enhances skill utilization in the system prompt. Skill capsules of the current turn can be displayed at the end of the response or beside the input box. Installation: `dsh plugin add dsh-skill-palette` or `github:AlLHHH/dsh-skill-palette`; requires DSH >= 0.2.0-0; version 0.1.4; MIT.
Read MoreTransforming Teaching Methodology into a Reusable Framework for Material Analysis in Civil Service Exams: A Xiao Ma Ge Perspective
This article introduces the community Skill "Xiaoma Ge's Perspective Skill" on SkillHub. It crystallizes the instructional thinking framework of Xiaoma Ge from Wenchao Education for civil service exams—namely, a material-centric approach, bureaucratic mindset, and humorous expression—into a SKILL.md file that can be loaded by an Agent. It is designed for civil service essay and interview preparation guidance, instructional strategy analysis, and training in material analysis thinking. The article outlines its positioning and three core capabilities, specifies clear trigger conditions (Xiaoma Ge, Wenchao Education, civil service essay, structured interview, "material is paramount") and negative constraints (not intended for general writing guidance or analysis in unrelated fields), lists three typical usage examples (material analysis, interview responses, and instructional strategies), and highlights integration considerations such as its community source, version 1.0.0, no API Key requirement, and 0 installations.
Read Moredsh-ai-search: Three-mode AI Search Panel in DeepSeek Harness
dsh-ai-search is a DeepSeek Harness internet tool plugin maintained by 745403lkh that integrates "Search → Ad Filtering → Content Deep Reading," providing Q&A summaries and recommendations, adjustable encyclopedia entries, and a browsing feed weighted by relevance, timeliness, and popularity. It supports result language selection, search history, custom search APIs, and thinking models, and can be paired with dsh-better-sidebar. Based on the GitHub README and the SkillHub directory page, this article introduces the installation identifier, settings, the curated_search tool, and the usage of local POST endpoints, while also explaining permission and security restrictions.
Read MoreEarthwork Calculation: Offloading CASS-standard Earthwork Calculations to a Local Agent
Earthwork calculation is a general-purpose Skill released by a community (ID: @user_b2e0f551/earthwork-calc-cn), categorized as 'professional'. It requires no API Key and is currently at version 1.0.6. It strictly adheres to CASS standards by default: utilizing the CASS grid method (grid area multiplied by the average height difference of the four corners), with coordinate sequences ordered East first, where 'h' equals natural elevation minus design elevation (positive values indicate cut, negative indicate fill). It covers five calculation algorithms: site leveling, leveling elevation, earthwork balance, foundation pit sloping, and dredging/replacement, plus dual-phase earthwork, cross-section methods, and external result review. It supports four input types: scatter points, DXF files, corner point tables, and section tables. Outputs include a static Excel ledger (values only, no formulas), grid result drawings, and a 13-item self-inspection report. All calculations are performed locally without network connectivity.
Read MoreDSH Cookie Guard: DSH Desktop Login Cookie Leak Self-Check Popup
Each launch of the DSH desktop version writes a `dsh-auth-*` cookie that is not removed by default. The accumulated request headers reach the Node.js 16 KiB limit around the 72nd launch, causing "Web authentication failed." The `dsh-cookie-guard` plugin displays the cookie count, byte usage, and remaining launches via a read-only floating window on Windows. It provides color-coded warnings when approaching the limit, install commands, and instructions for an optional standalone cleanup tool. MIT 1.0.1, Maintainer: 3150481853.
Read MoreCost Engineer Question Bank · Module: Engineering Costing: Chapter-wise Exercises for "Construction Engineering Costing"
This community Skill generates practice questions for the "Construction Project Costing" subject of Cost Engineers on a chapter-by-chapter basis, covering six sections: investment estimate, design budget estimate, construction drawing budget, bill of quantities, tender quotation, and completion settlement. It does not rely on a built-in fixed question bank; instead, the AI generates questions based on the general syllabus, ensuring new questions are available with every invocation. This makes it suitable for reinforcement by chapter and targeted practice for weak areas. The official description explicitly states it is not for predicting exam questions and is unofficial; therefore, it is suitable for chapter-wise practice but not for mock exams or score estimation. As the materials do not provide specific installation commands or command-line examples, this article only provides the official SkillHub address and coordinates without fabricating installation methods. No additional API key is required for operation (requires_api_key=false); model invocation credentials are configured according to the client being used.
Read MoreAIworkin: Running Through the Entire Cross-Border E-commerce Process from 0 to 1 with AI
The Cross-border E-commerce AI Assistant (AIworkin) is a one-stop, full-process AI auxiliary tool for cross-border e-commerce (AIPDD Professional Edition) published by AIPDD. It originates from enterprise, is categorized under business-ops, version 1.0.7, coordinates at @org-bzwfrdvh/aipdd-cross-board, with the tag requires_api_key=true. The main Skill covers product selection analysis, traffic path design (SEO/ads/social media/Reddit/GEO), conversion strategy breakdown, 90-day operational execution planning, and compliance risk avoidance. Tasks are distributed through sub-skills: SEO Title Optimizer, Reddit Content Operations Expert, Cross-border E-commerce AI Customer Acquisition Video Production, Cross-border E-commerce Best-selling Product Copy Generator, Cross-border E-commerce Listing Localization, Industry Analysis Report Generator, Cross-border Ad Optimization, and AIworkin Business Networking & Intelligent Customer Acquisition Network. When users request overall workflows or next-step guidance, it enters the professional operational Workflow. Installation commands and configuration fields are not provided in the retrieved materials, so they are not fabricated in the main text; ratings and download counts in the clues are inconsistent with the retrieved materials, so the main text adopts the data from the retrieved materials.
Read Moredsh-cognition-engine: Bi-temporal Memory and Criteria Base, enabling Agents to Remember and Know When to Invalidate
dsh-cognition-engine is a memory plugin on DeepSeek Harness that provides bi-temporal memory, user-defined topics, per-turn injected guidelines (with configurable validity periods and a manual review queue), optional three-stage reflection, and long-term todos under each topic. State is stored in a local JSON file by default, with no database. Recommended installation: `dsh plugin --profile desktop add dsh-cognition-engine`; requires Node.js ≥ 22. In a new session, you can first call `cognition_context`, use `cognition_remember` / `cognition_recall` to maintain facts, and manage guideline distillation and expiration in the panel. Before installing, please review the source code and MIT license, and be aware that the plugin reads and writes local data with the permissions of the DSH process.
Read MoreFinancial Morning Briefing: A-Share Pre-Market Global Market Overview
Financial Morning Briefing (@user_b35a0bc0/caijing-zaocan, v1.8.0, SkillHub Community data-analysis category) is an A-share pre-market information Skill. It automatically outputs a snapshot of the external environment (including a Japan and Korea stock market opening module) at 08:45 every trading day. It captures global financial, military, and geopolitical news, as well as major asset fluctuations occurring between the previous day's A-share close and the current morning, assessing the positive, negative, or neutral impact on A-shares item by item and mapping relevant sector targets. At 17:00 on the same day, it automatically reviews the morning briefing's assertions and direction list to finalize the closing settlement, while iterating on the previous day's views at the beginning of the next day's briefing. Data sources are graded L1–L6; Miaoxiang serves as the sole price benchmark, ifind-mcp acts as an independent verifier, and wscn and Xinhua Finance MCP are corroborating sources. It incorporates five built-in judgment disciplines and a prohibition on reverse induction in summaries. It forms a feedback closed-loop with "Yedu Advanced Review" (zaocan_verify_ledger.json, Hard Rules A/B, and a four-step substantive integration loop). Since v1.6.2, Markdown to HTML rendering has been resident.
Read Moredsh-video-skills: Browse and One-Click Install Video Production Skills in DSH Settings
## dsh-video-skills dsh-video-skills is a DSH Web client plugin (v0.1.4, MIT) released by maintainer 1368546410qq. It displays the awesome-claude-video-skills catalog (approximately 373 entries) on the settings page, supports filtering, progress indication, and one-click installation to ~/.claude/skills or ~/.dsh/skills. It only downloads GitHub archives and copies files, without executing any repository code. It also provides three tools—video_skill_search, video_skill_install, and video_skill_uninstall—as well as the /video-skills/api/v1 endpoint. The installation command is `dsh plugin --profile <name> add dsh-video-skills`, and it must be written into `dsh.profile.bundles`. Node.js 20+ is required. Before use, please check the target repository and its license; the plugin writes to local directories using the DSH process permissions.
Read MoreWebsite Specification Skills: Multi-platform Domain Skill Pack for AI Coding Assistants
The Website Specification Skill (@user_3c6cb52e/specification-website-skill) is a community-sourced skill package categorized under dev-programming. Versioned at 1.0.0, it is positioned as a domain-specific skill module designed for AI coding assistants. It officially claims compatibility with six platforms: Claude Code, Codex, WorkBuddy, OpenClaw, QClaw, and Hermes Agent. The package is tagged with `requires_api_key=false`, indicating that no API Key configuration is necessary. As public documentation lacks official installation commands and reproducible usage examples, this article solely covers verified capabilities, installation access points (the SkillHub page and API address), enabling methods based on the standard SKILL.md format, applicable scenarios, and precautions. Notably, the source is a personal community account, and the official page displays a rating of 100,000, 1,263 downloads, and 0 installations. Due to the lack of actual usage feedback, it is recommended to review the package contents and conduct a trial deployment on a limited scale before adoption.
Read MoreDoc Toolkit: A One-Stop Processing Toolbox for Common Documents
Doc Toolkit is a document processing Skill produced by the SkillHub community, located at @user_b22a52ba/doc-toolkit, version 2.0.0, categorized under office-efficiency, and does not require an API Key. It targets common document formats such as Word, Excel, PPT, PDF, and images, providing capabilities including merging and splitting, mutual format conversion, image compression, smart cutout, PDF watermark encryption, image extraction, and batch processing, aiming to consolidate scattered document operations into a single toolbox. The article introduces the scope of features, loading methods, typical trigger scenarios, target users, and precautions, and notes that installation commands and parameter examples are missing from the scraped materials and should be based on the official page. The article also points out that the ratings and download counts provided by the clues are inconsistent with the records on the official page, and recommends using real-time page data as the reference.
Read Moredsh-workspace-classifier: Adding a Categorization Layer to the DSH Sidebar Workspace List
dsh-workspace-classifier (v0.1.1, MIT) adds a category or date grouping layer to the native workspace sidebar of DeepSeek Harness Desktop, preserving conversation rows and native interactions. It supports custom categories, two separator styles, collapsing inactive workspaces, notification dots, and one-click restoration to the native list. Requires DSH >= 0.2.0-rc.2. Install via `dsh plugin --profile desktop add dsh-workspace-classifier` and restart the Harness. Maintainer: YuyuYuu-wyt. A community plugin in the workflow category.
Read Moreworldbuilding-logic: Three-Phase Interactive Worldbuilding Skill
"worldbuilding-logic" is an Agent Skill based on the SKILL.md format, published by SkillHub community user @user_a45505fa. It is categorized under content-creation and sourced from the community (Version 1.0.1). It deconstructs worldbuilding for novels and RPGs into a three-stage interactive process: Worldbuilding Interview, Story Architecture Derivation, and World Exploration Q&A. Supporting multiple power systems—such as magic, technology, and Xianxia (cultivation)—it claims to include four rounds of self-checking involving logical deduction/rebuttal, sociological review, and economic review. This process aims to help creators produce "living worlds" that are logically consistent, naturally conflict-driven, and capable of generating derivative plots. This article covers its positioning, core features, typical usage, and usage considerations. As the official page was unavailable at the time of writing, the installation command could not be verified and is therefore omitted. The resource is marked as `requires_api_key=false`, indicating no additional API Key is needed. Please note that the ratings and download figures in the text are data points captured at the time of retrieval only.
Read MoreLaborPilot: Intelligent Labor Dispute Case Handling Engine – Analysis Skill for National Rules and Zhejiang Specifications
LaborPilot is an intelligent case handling engine for Chinese labor disputes, developed by Attorney Jin Lishan. Released as a community resource on SkillHub, it is categorized as professional and requires no API key. By inputting case materials, it generates legal analysis, monetary calculations, and arbitration documents. It features 96 built-in knowledge cards regarding dispute issues and adopts a dual-layered structure combining national regulations with Zhejiang local standards; the Zhejiang component includes validity gates and annotations regarding abolition and review. It is suitable for scenarios such as labor dispute analysis, calculations for economic compensation, indemnity, overtime pay, and work injury benefits, as well as the generation of arbitration applications and evidence lists. All outputs are AI-assisted and for reference only; they must be reviewed by a professional lawyer before use.
Read Moremaid-workspace-activity: DSH Workspace Activity Badge Client Plugin
maid-workspace-activity (yanli-nyan) is a client plugin for DeepSeek Harness. SkillHub introduces it as a "Workspace Activity Badge," categorized under the client and catalog pages with a v1.1.0 label. This article explains its positioning and installation considerations based on SkillHub and available clues. As fetching the GitHub README failed and the repository page is currently unreachable, we do not fabricate shell installation commands or configuration items. Furthermore, we caution that the plugin runs with dsh process privileges, and users should review the source code and license before installation.
Read MoreShot Master: FFmpeg-Based Video Shot Segmentation and Keyframe Extraction
Shot Master is a community-sourced universal SKILL.md format Skill (Coordinates: @user_a541be91/shotmaster-capmom). Currently at version 2.13.0 and categorized under design-media on SkillHub, it has a rating of 100,000, 1,209 downloads, 0 installations, and is tagged with requires_api_key=false. It utilizes ffmpeg for shot segmentation and frame extraction, outputting manifest/CSV storyboards with HH:MM:SS.mmm timecodes and contact sheets. It offers an optional high-precision PySceneDetect backend, and the "bestframe" feature selects the sharpest representative frame for each shot while supporting parallel acceleration. Each shot includes a "quality passport" trio (cut_confidence / sharpness / motion_level) and scene_type inference (iconic scene / motion / large scene / close-up / dialogue / crying / laughing / empty shot). It supports importing shot classification tags, integrating with the anime-mashup-editing asset classification system to automatically archive frames by category. It supports three timeline export formats: EDL, FCP XML, and OTTO. Additionally, it provides a mashup-specific cut_timeline subcommand (generating timeline JSON containing hook_candidates / static_candidates) and a shot_to_timeline mashup workflow (adding BGM to video to output a beat-aligned mashup timeline JSON). In terms of performance, it uses NumPy vectorization for sharpness calculations (approx. 11x acceleration) and passes the bestframe sharpness cache. It includes 28 built-in test cases covering all modes and export formats. As official installation commands and the SKILL.md directory structure were not available, specific installation commands are not provided; activation methods should be based on the SkillHub page.
Read MoreState Grid Report Auto-Formatting: One-Click Conversion from Word / Markdown to Compliant .docx
"State Grid Report Auto-formatting" is a community Skill published on SkillHub, located at @user_eeffca6a/guowang-report-standardizer. Currently at version 1.0.1 and categorized under office-efficiency, it requires no additional API Key configuration. It targets the formatting scenario for power supply company reporting materials: it converts uploaded Word (.docx / legacy .doc) files or pasted Markdown text into .docx files that meet State Grid official document formatting standards with a single click. It standardizes fonts, sizes, line spacing, first-line indentation, hierarchical headings, and captions for tables and figures, applies standard "-N-" page numbering, generates hierarchical tables of contents and standardized signature blocks, and performs format verification after generation. Official typical trigger phrases include "State Grid formatting," "standardize report," "MD to State Grid Word," "fix document format," and "power supply company document standards." This article introduces its positioning, core capabilities, activation methods, a typical three-step usage guide, as well as applicable scenarios and precautions.
Read MoreIntelligent Image Translation: In-Place Replacement of Text within Images with Target Language
Intelligent Image Translator is a translation Skill for image-based assets (handle: @ixhlink/ixhlink-skills-image-translate, version 1.0.1), published by Xinghua Zhilian Technology and categorized under design-media in SkillHub. It is used to upload images containing text—such as posters, menus, screenshots, documents, signs, and comics—and to replace the text in-place with translations tailored to a target country or language, while preserving the original layout and visual quality as much as possible. The article introduces its core capabilities, official page and handle, activation entry point, typical expressions, and use-case boundaries, and distinguishes its usage from OCR skills.
Read Moredsh-sidebar-entry-manager: Display DeepSeek Harness left sidebar panel entry on demand
dsh-sidebar-entry-manager is a DSH Web client plugin maintained by yanli-nyan that provides a toggle to show or hide rows in the sidebar.panellist panel; hidden rows can still be opened from the “More” menu, and preferences are stored in the localStorage key dsh-sidebar-entry-manager:prefs. It can be accessed via both the sidebar icon and the settings page, and v1.1.0 fixes the issue of taking effect on first load. To install, run dsh plugin --profile web add github:yanli-nyan/dsh-sidebar-entry-manager; the “Plugins” row and the “More” button cannot be hidden. MIT licensed; please review the source code before installing.
Read MoreExtracting Maximum Value from a Book: A Skill Introduction to Creating a "Knowledge-Cognition-Action" Closed Loop
"Squeeze a Book" (榨干一本书) is a Chinese skill based on a universal SKILL.md, designed for book essence extraction. It deconstructs a book into three layers—knowledge, cognition, and action—to form a closed loop of growth. Trigger words include "Squeeze a Book", "Deconstruct a Book", "Extract a Book", "Book Review", "Reading Notes", "Help me read a book", and "Deep Reading". It is not applicable for simple book recommendations, quick reviews, or book list compilation. This article outlines core functions, verifiable official entry points, natural language triggers, and typical usage. It also clarifies that it does not fabricate capabilities, installation commands, or example outputs not present in the source materials. Additionally, it notes that there are conflicts in the scraped results of the official address, requiring self-verification before enabling.
Read MoreFully Automatic Generation of Bid Documents (General Version): From Tender Documents to Complete Bid Documents
Auto-Bid Generator (General Version) is a community Skill located at @user_6e87c0a2/auto-bid-generator. It is categorized under "office-efficiency," sourced from the "community," and is currently at version 1.0.1. By uploading tender documents (PDF/Word), it automatically generates complete bid documents and outputs a compliance risk audit report. Employing a "Bid Fact Base" and a "Chapter-isolated Generation" architecture, it addresses issues associated with long tender documents, such as context overflow, context forgetting, and missing clauses. It is applicable to government procurement, SOE tendering, public bidding, competitive consultation, competitive negotiation, and inquiry procurement, covering goods, services, engineering, and IT categories. The metadata tag indicates `requires_api_key=false`, meaning no API key configuration is necessary. Since the source material does not provide installation commands or reproducible examples and the official page is currently unreachable, users should refer to the official page before enabling this tool. Metadata statistics show a rating of 100,000, 1,294 downloads, and 0 installations.
Read MoreWork Plan Management: Organizing Individual and Team Tasks in a Table
Workplan Tracker is a community skill on SkillHub, located at @user_d82e0b43/workplan-tracker, version 1.0.1, categorized under business-ops, sourced from the community, and requiring no API Key. It enables WorkBuddy to directly maintain personal and team work plans, supports two persistence backends—Tencent Docs Smart Sheets or local Excel—uses a two-level category structure (major/minor categories) along with fields such as status, priority, and date, and provides two automations: a weekly plan reminder at 09:00 every Monday and a daily to-do reminder at 09:00 each day. Trigger phrases include "add task," "xx completed," "log completed," "view tasks," "track xx progress," "work plan," "to-do," "weekly plan," "daily reminder," and others. The article introduces its positioning, core capabilities, and natural language usage, and outlines applicable scenarios along with notes regarding storage, trigger timing, and field extensions.
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