Image to Code: A Skill for Using AI Agents to Convert Designs into Code

Image-to-Code (@user_3c6cb52e/image-to-code-bmoj, v1.0.0) is a community Skill on SkillHub, belonging to the dev-programming category, with the description "A dedicated skill for image-to-code conversion, designed to help AI Agents efficiently complete related tasks." Based on the standard SKILL.md format, its tag shows requires_api_key=false, meaning no separate API key configuration is required. This article introduces its positioning, verified core capabilities, installation and activation methods, and usage notes, pointing out that official materials do not provide example details and its actual performance needs to be verified independently.

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Intelligent Requirement Workshop: A Pipeline from Requirement Analysis to High-Level/Detailed Design Documents

Smart Requirement Workshop (@user_1f5261c9/spec-craft) is a community Skill in the office-efficiency category on SkillHub. It is version 1.0.0, rated 100000, has 1084 downloads, 0 installations, and the tag requires_api_key=false. It triggers when requirements analysis, requirements documents, design documents, outline designs, or detailed design documents are needed. It supports producing four types of documents: requirements analysis documents, requirements design documents, outline design documents, and detailed design documents. It adopts an intelligent inference plus streamlined Q&A mode, outputs Markdown based on built-in templates, and can guide users to generate docx using the /docx skill. The article explains its positioning, core capabilities, the collaboration chain it relies on when docx is needed, typical use cases reconstructed by trigger conditions, as well as boundaries such as output depending on the quality of the requirements description, templates needing to be matched with company standards by oneself, and current installation count being zero. Official materials do not provide installation commands, so unverified steps are not included, and the official address is given for reference.

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dsh-approval-consult: Consult execution AI and review AI separately during tool approval waiting.

dsh-approval-consult (Approval Consultation Desk) is a DSH Web workflow plugin (v1.1.3, MIT) maintained by 0tests. While tool calls are awaiting approval, users can open a panel via a capsule to ask questions to the Execution AI and Auto-Review AI respectively (automatically degrading to single-channel if the review plugin is not installed). Common questions are editable and persisted to presets.json; Q&A on the execution side is injected into the session, while the review side requires manual relay. It supports optional integration with dsh-approval-timeout and bypasses official approval without taking over control. Installation is available via `npm install dsh-approval-consult` or Release tarball; restart `dsh web` after enabling.

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dsh-browser-tabs: Automatic Finalization of DSH Browser Tabs

dsh-browser-tabs is a DSH client plugin that connects to a dedicated browser via CDP. When the total number of tabs exceeds the limit in a single window or cumulatively, it closes tabs in the following order: blank pages, error pages, duplicate URLs, and oldest pages. It also protects pages that are currently in use, newly opened within the last two minutes, the latest tab in each window, and those matching a retention regex. The plugin provides `browser_tabs_status` and `browser_tabs_clean` (which defaults to dry-run mode). Settings, including thresholds, dry-run mode, and immediate cleanup, can be modified on the settings page, with configurations saved to `$DSH_HOME/browser-tabs/settings.json`.

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Kingdee Cloud Galaxy SQL Server Database Deployment: Silent Installation and Maintenance in Restricted Windows Environments

This Skill is designed for preparing SQL Server instances for ERP systems like Kingdee Cloud Cosmic in restricted or sandboxed Windows environments. It defaults to a silent installation of SQL Server 2022 Developer Edition, making it ideal for validating database environments before establishing账套 (account sets). Coordinates: @user_4643e8be/abxe; Version: 1.0.0; Source: community; Category: it-ops-security; Publisher: user_4643e8be; requires_api_key: false. This article verifies metadata against official sources and outlines activation methods, silent installation checkpoints (Administrator privileges, instances and ports, SQL Server authentication, collation, and sqlcmd verification), and precautions. Key notes include: Developer Edition cannot serve as a basis for production licensing; service and firewall permissions must be confirmed in restricted environments; and Community Skills should be validated on a test machine prior to production deployment.

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boxfill: DSH Container Loading Calculation Plugin

Boxfill is an open-source container loading calculator developed by 01men under the MIT License, sharing the `h5/js/core/` engine between its H5 interface and MCP implementation. After installation via `dsh plugin add github:01men/boxfill`, DSH sessions can utilize seven `boxfill_*` tools to perform container loading, freight calculation, order consolidation, and order inquiry. No master data creation tools are provided; master data persistence must be managed via the MCP server. The system uses fixed units of cm/kg/CBM, includes 299 test cases, and the complete MCP service comprises 12 tools.

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M&E Smart Selection: The Skill Entry for Mechanical and Electrical Engineering Selection and Calculation

"Electromech Selection" is an Agent Skill for the electromechanical engineering domain, located at @user_a7a98df2/electromech-selection. Version 1.0.0, published by community publisher user_a7a98df2. Source: community. SkillHub category: professional. Tag: requires_api_key=false. It is distilled from mainstream mechanical/electrical manuals and standards totaling 11,178 pages, covering 18 specialized domains including bearings, gears, motors, cables, transformers, springs, bolts, shafts, belt drives, chain drives, reducers, hydraulics, power distribution, lightning protection, and grounding. It incorporates 10+ calculation engines. It supports three modes: knowledge retrieval (consult manual data), conversational selection (multi-turn interaction to define solutions), and parametric calculation (generate reports). It requires that after loading, responses must match the corresponding reference before answering, and skipping the skill to directly provide generic answers without it is prohibited. The article introduces the skill's positioning, core capabilities, verifiable enablement information, and three typical use cases, and outlines applicable scenarios and precautions. As of the time of capture, the SkillHub page records a rating of 100000, 1164 downloads, and 0 installations; please refer to the official page for the latest information.

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Quote Inquiry and Comparison Assistant: Integrating the Local Quotation Database into the Agent's Quote Query and Comparison Skill

The "Inquiry & Price Comparison Assistant" is a quotation skill for intelligent low-voltage engineering projects, based on the local quotation database located at `D:\报价资料库`. Maintained by community publisher `user_0a409861` (Version 1.0.0), it is categorized under `business-ops` and tagged with `requires_api_key=false`, indicating no dependency on external paid APIs. This skill delegates the entire workflow to an Agent, which includes: looking up model prices and parameters, performing horizontal price comparisons across multiple suppliers, automatically generating inquiry lists, batch-filling the lowest comprehensive unit prices based on the Bill of Quantities (BOQ), and citing the data sources. Trigger keywords include: quotation, price comparison, comprehensive unit price, BOQ, supplier comparison, low-voltage, Ruijie, Hikvision, Dahua, inquiry sheet, and unit price entry. Regarding installation, it follows the standard `SKILL.md` format and can be placed in the project's skill directory. However, the official page does not provide a unified installation command, nor does it specify the database's directory structure or field formats. Additionally, since `D:\报价资料库` is a local Windows path, adjustments are required for cross-platform use. It is important to note that this is not a real-time pricing interface; price timeliness depends on the database update frequency, and accuracy relies on the completeness of the model, supplier, and price fields within the database. The page displays metrics of 100,000 rating score, 1,168 downloads, and 0 installs. The zero installation count indicates that large-scale usage validation has not yet been established; it is recommended to validate with real model data before integration. This tool is suitable for cost engineers, estimators, and procurement personnel in intelligent low-voltage engineering, or teams that require frequent equipment price comparisons.

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dsh-screenshot-board: Organizing Screenshot Annotations into Handoff-Ready Modification Tasks

dsh-screenshot-board (0.2.0) is a DSH workflow plugin that enables frame-selecting screenshots on a local task board, writing expectations and acceptance criteria, managing status and discussions, and exporting tasks.md and ZIP files to hand off to the Agent according to the handoff.json scope. It supports project background, handoff scope preview, interactive reproduction evidence, and collapsing into chat. Data is stored in the DSH data directory; it does not schedule Agents or automatically modify the project. Installation commands follow the SkillHub and GitHub instructions. After enabling, open it from the settings page or the floating entry point.

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dsh-workbuddy-cny: Align WorkBuddy credits and DeepSeek CNY balance in a single row in the DSH sidebar

dsh-workbuddy-cny is a DSH client plugin that merges WorkBuddy credits and DeepSeek's official RMB balance into a single row in the sidebar, converting credits using an exchange rate measured from session token consumption (not guessed). It depends on DSH 0.2.x and dsh-connect-workbuddy, provides read-only display, and shows — on failure. The installation command is `dsh plugin --profile desktop add github:ZZZ234234234/dsh-workbuddy-cny`. The `cnyPerCredit` setting can be overridden in `cordis.patch.yml`. The repository notes that the default conversion rate may be too low, requiring self-testing or re-running `measure-rate.mjs`.

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Workflow Canvas: Visualized Project Workflows on DeepSeek Harness

Workflow Canvas (dsh-workflow-canvas-sidebar) is a DSH workflow plugin maintained by zzz123123lll, providing canvas-based task allocation, module collaboration, and deliverable review and download on Windows. The current public release, v0.17.0-rc.3, supports material-to-article workflows, custom file tasks, and optional short video pipelines. The installation command is dsh-workflow-canvas-sidebar@0.17.0-rc.3; default data is stored in %USERPROFILE%\.dsh-workflow-canvas. It is open-sourced under the MIT license, with a host baseline of Harness 0.2.1-rc.5.

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Medical SCI Precision Journal Selection - V2: A Skill Integrating Paper Classification, Journal Verification, and Submission Grading Reports

Medical SCI Precision Journal Selection-V2 is a Skill designed for medical SCI manuscript submission, identified as @user_f939793e/chenjing-20260812. Published by user_f939793e, it originates from the community, is categorized as professional, is version 1.0.2, and is tagged with requires_api_key=false. It first verifies the paper's discipline, study type, and evidence level. Then, it queries online for candidate journals' Impact Factors, JCR quartiles, Open Access status, Article Processing Charges (APC), and review cycles, while annotating data sources, statistical years, and reliability; information that cannot be found is marked as "Unverified." Subsequently, it performs submission suitability scoring and risk analysis, organizes a three-tier strategy (Striver, Match, and Safety journals), and generates a journal selection report. It supports one-click synchronization to IMA notes and automatically falls back to saving as local Markdown if the IMA connection is unavailable. As the retrieved materials do not provide verifiable installation commands, directories, or client difference explanations, this article does not include specific installation steps.

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2026 Tax Advisor "Tax Law II" Knowledge Base: Organizing the Statutes of Ten Tax Categories and Score Distribution into a Retrievable Skill

A Tax Law Skill under the Education category of the SkillHub community, located at @user_c290b3f0/tax2-2026-knowledge-base, version 1.0.1, published by user_c290b3f0. It includes the full text of ten tax categories plus five quick reference guides, with a score distribution of 60 for corporate tax, 35 for individual income tax, 13 for international taxation, and 33 for six minor taxes, covering financial and tax health checks, exam preparation, and cross-border business scenarios. A page snapshot shows a rating of 100,000, 1,139 downloads, and 0 installations. The tag requires_api_key=false indicates no API key is required. This article introduces its positioning, core content, installation entry, and usage considerations.

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Simulated Mentor: Structured Mock Interview Skill for Master's Entrance Interviews

Structured mock interview skills for China’s postgraduate (master’s) admissions re-examination. Supports Chinese comprehensive interviews, English Q&A, major-specific oral exams, follow-up questions on research projects and graduation designs, application motivation, research proposals, stress interviews, question-by-question feedback, and full post-interview review. Adopts one-question-at-a-time interaction with dynamic follow-up probing based on responses, and supports modes for realistic simulation, training, demonstration, and targeted breakthroughs. This article outlines core features, how to enable them, typical usage, applicable scenarios, and key considerations.

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dsh-plugin-tiles: Manage Installed Plugins with Tiles Next to Session Titles

dsh-plugin-tiles is a DSH client plugin maintained by zydxn77 (v0.1.0, MIT). It displays a row of small squares in the session title bar or next to the new conversation input area, with one square per installed plugin. Left-click toggles, right-click renames; the mouse wheel and Shift+wheel adjust size and width. A drawer provides the full plugin list, a "system-only" mode, size sliders, and a "Mute All" option. The mute list is stored in $DSH_HOME/plugin-tiles/mute.json. Requires DSH 0.2.1+. Install with: dsh plugin add dsh-plugin-tiles. Restart DSH after installation.

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DSH Crash Guard: Startup White Screen Prevention and Plugin Crash Isolation

dsh-crash-guard is a pure DSH plugin solution maintained by zxzc114514. It performs rev fingerprint pre-checks on frontend bundles on the Node side and filters out unactivated entries on the Web side before IZ() auditing. Faults are silently quarantined by writing to `.dsh-market/crash-guard-quarantine.json`, without modifying formal configurations such as `package.json`. The top bar rescue capsule allows viewing `blockedBy` details and stack traces, and supports permanent disabling. It is applicable to DSH >=0.2.0-rc.2 <0.3.0-0 and Node >=20, and can be installed via `dsh plugin add dsh-crash-guard`.

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dsh-doc-convert: Convert Office, PDF, and Markdown Within DSH Workspaces

dsh-doc-convert is a DSH Web client plugin maintained by zsy334 that converts docx, pdf, md, html, xlsx/csv, pptx and other formats within the workspace through the sidebar "Document Conversion" panel and the convert_document tool. Office and PDF layouts are handled by LibreOffice Kit, while text and table portions use the JS pipeline; PDF supports only text/Markdown extraction. The installation command is dsh plugin --profile web add dsh-doc-convert, with the first run downloading approximately 160MB of engine. Output is limited to the workspace, making it suitable for Agents and humans to collaborate in the same directory.

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edu-chem-tutorial: A Skill for Turning Chemistry Courses into Interactive Teaching Pages

edu-chem-tutorial is a course page generation Skill designed for chemistry teaching, maintained by SkillHub user user_8bb4f5 and categorized under education. It transforms a chemistry course (not a single reaction) into interactive teaching pages featuring step-by-step knowledge point explanations, Canvas 2D scene animations, sidebar knowledge point panels, information cards, and player controls. It is suitable for complex explanatory topics such as redox balancing, metal activity series, periodic laws, ion coexistence, and rate equilibrium. The technical approach employs Canvas 2D rendering without relying on Three.js, with content generated through data-driven methods similar to edu-chem-reaction's data injection pattern. The key distinction from edu-chem-reaction is its focus on entire courses rather than individual reactions. During the preparation of this article, the official page content could not be successfully retrieved, and installation commands and configuration fields could not be verified; this has been honestly noted in the text.

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K12 Error Notebook: K12 Mistake Collection Management Skill

k12-error-notebook is an Education-category Skill released by community developer user_72ffbadb. Version 1.0.0, tagged with a community source, it requires no API Key. The Skill is designed for managing mistake notebooks for K12 (primary/middle/high school) students, integrating features ranging from photo capture and text entry to three-layer error-cause analysis (knowledge/strategy/habits), knowledge-point tagging, Ebbinghaus review scheduling, learning progress statistics, and weak-point analysis. It also supports exporting mistake sheets as printable HTML or PDF files, all consolidated within a single Skill. The Skill is triggered when users upload photos of incorrect questions, test papers, or homework screenshots to organize their mistake notebooks, analyze error causes, generate variations for learning through analogy, create review plans, or export printable mistake sheets. Official trigger words include mistake, mistake notebook, mistake collection, error-cause analysis, learning through analogy, review plan, and learning report, among others. Point-in-time data shows a rating of 100000, 1152 downloads, and 0 installations. Records indicate downloads but zero installations, meaning there are currently no available reference cases of actual usage. The provided materials do not include installation commands or configuration file fields, and we will not fabricate them in this article. As it is a community-sourced v1.0.0 release, its photo recognition capabilities, multi-subject and handwriting support, and handling of students' personal information require independent practical testing to verify.

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dsh-lawcorpus: A Plugin for the CLSCI Law Journal Paper Framework Corpus

dsh-lawcorpus is a DeepSeek Harness plugin released by maintainer ziz12138. It incorporates metadata (titles, authors, abstracts, keywords, and table of contents structures) for 850 articles from four CLSCI law journals (2024–2026). Featuring local JSONL storage and BM25 retrieval, it provides five tools: `status`, `profile`, `frame`, `match`, and `export`. The plugin operates offline with zero dependencies. This article outlines its positioning, installation steps (`profile` + `cordis.patch.yml`), typical usage scenarios, and limitations, while also introducing the auto-triggering mechanism of the `law-paper-writing` Skill.

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Backend Framework Expert: Leave REST, Security, and Data Access in Spring Boot 3.x to Agent

Introduce the "Backend Framework Expert" Skill, released by Kunlun Growth for Spring Boot 3.x, covering three layers: REST APIs, security, and data access. Version 1.0.0, categorized as dev-programming, no API key required. The article describes its positioning, core features, and the general activation method. It also notes that the official page could not be accessed during this session, so the installation command could not be verified, and reminds users to verify it independently before deployment. It further explains considerations including its strict binding to Spring Boot 3.x and limited functional scope.

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Thesis Rewriting Tool for Lowering AI Detection and Humanizing Text: A Pre-Submission Self-Check

This tool is designed for thesis and graduation projects to reduce AI detection rates and remove AI stylistic artifacts. It performs AI-flavor removal, academic rewriting, paragraph restructuring, and style naturalization on papers and journal submissions. It outputs AI-flavor self-assessment reports, model residue cleanup, in-depth revision guidance, and sentence-level priority plans. It features check_stats to detect numerical inconsistencies and check_terms to identify terminology mixing (8 domain variant groups). Supporting Chinese and English bilingual inputs as well as .docx/.pdf files, it allows cross-file chapter-by-chapter verification with the --batch mode. throughout the process, it strictly preserves numbers, DOIs, PMIDs, years, and terminology, ensuring data integrity while modifying text. It includes built-in AIGC usage disclosure compliance checks (China 2025-09 Labeling Measures) and academic integrity safeguards. Running 100% locally with zero uploads using only the Python standard library, it is suitable for ESL authors or those with stiff, template-heavy writing to perform pre-submission self-checks; it is not applicable for pure grammar polishing, full-text translation, or non-academic rewriting. Source: @indiv-sorsor/paper-rewriter, Community, Version 5.4.1, Content Creation Category, Official URL: https://api.skillhub.cn/indiv-sorsor/paper-rewriter.

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Homework Grading: Transforming the Process into a Structured Workflow

Introducing the educational Skill "Homework Correction", produced by Kunlun Growth, version 1.1.0, categorized under education, requiring no API Key. It employs a structured approach to efficiently correct homework and provide actionable feedback, covering a five-step chain: standard setting, tiered correction, feedback, correction, and tracking. It incorporates three methodologies: rubric-based method, specific feedback, and no ghostwriting. The article outlines core functions, activation methods, applicable scenarios, and precautions, suitable for integrating homework correction, essay correction, and exercise correction capabilities in educational products.

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dsh-memory-nebula: Adding a Retrievable Long-Term Memory Layer to the DSH Desktop Client

dsh-memory-nebula (ZILCHW, v0.2.6, MIT) provides self-writing, topic-based retrieval long-term memory for the DeepSeek Harness desktop application: pure local graph.json, 2-gram+IDF+inverted index+co-occurrence retrieval, ten memory tools, and a sidebar interactive nebula. Zero runtime dependencies, no models or APIs required. Installation requires the DSH desktop client; the README provides a link installation command. Data defaults to ~/.dsh/memory-net/, with export/import support for migration.

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7-Day Real Estate Social Media Copywriting Assistant: A Fixed Weekly Post Template Set for Agents

Real estate agents often encounter issues with unstable content visibility, content folding, and being blocked when posting to WeChat Moments daily. This Skill divides the week into fixed themes: Monday for service-oriented content, Tuesday for personal branding, Wednesday for case studies, Thursday for professional topics, Friday for product promotion, Saturday for previews, and Sunday for reviews. When using it, simply input "Today is [Day of Week] + materials" to automatically match the day's template. It also supports an intelligent recognition mode where you can directly upload materials. Each piece of copy is strictly controlled at 130-160 characters, written in first-person conversational style, ensuring complete display without folding on WeChat Moments. This Skill is published by user_22c15bb9, from community, categorized as content-creation, version 1.0.1, marked with requires_api_key=false, no additional API Key configuration needed. The article explains its positioning, seven-day templates, two usage methods, applicable scenarios and limitations, and provides the official address.

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