K12 Lesson Plan Generator: Transforming Grade Levels, Subjects, and Lesson Topics into Standardized Lesson Plans

The K12 Lesson Plan Generator is a K12 subject–focused lesson planning assistant published on SkillHub by community developer user_af163eaa. It is categorized under education, version 1.0.1, and sourced from the community. It takes grade level, subject, and lesson topic as inputs and produces a standard lesson plan that includes teaching objectives, key and difficult teaching points, and a complete flow of introduction–new content–practice–summary–homework. It supports differentiated and contextualized instruction and is activated when users say “write a lesson plan,” “help me prepare a class,” or “how to teach this lesson.” It is intended for teachers and parents tutoring students. The materials indicate requires_api_key=false, meaning no additional API key configuration is required. The scraped materials do not provide directly executable installation commands or configuration files; therefore, this article does not fabricate commands and only provides the coordinates @user_af163eaa/z-k12-lesson-planner and source information. Specific enablement methods in Cursor, Codex CLI, and Claude Code are not described in the materials; please refer to the official page. This Skill is a community release; before use, it is recommended to independently verify the accuracy of knowledge points. Installations are 0 and the rating is 100000, with limited ecosystem validation and community feedback, so stability should be assessed by you.

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工程结算报审与审减风险防控助手-鹏哥撩工程Ai:把结算报审的审减风险逐条拆开

该 Skill 由 SkillHub 社区作者 @user_833fca90 发布,版本 1.0.0,分类 professional。定位为房建、市政、总承包和专业工程的结算报审与审减风险防控专项助手,覆盖竣工结算、阶段结算、停工结算,以及结算资料梳理、结算书编制、报审策划、变更签证、索赔、价差、甲供材、分包分供对账、审减风险、争议谈判、成本锁定和工程款回收。能力上审核施工总承包及相关合同中的工程价款条款,聚焦合同价款、预付款、进度款、计量、变更、签证、调差、竣工结算、质保金、保证金、税票和价款违约责任,支持对 PDF、Word 或多份附件合同完整读取、专用条款优先识别、结构化清单提取、角色化风险识别和可执行建议输出,面向建设单位成本/合约人员、总包商务经理/预算员、造价咨询驻场/审价人员。标签 requires_api_key=false。

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Blended Course Construction: Qiuye Workplace - Transforming an On-Campus Course into an Approvable Hybrid Course

This article introduces "Blended Course Construction_Qiuye Workplace," an Agent Skill for Community Education available on SkillHub. Tailored for college course leaders, program heads, associate deans of teaching, and course development management staff at the Office of Academic Affairs, it processes existing course syllabi, schedules, online resources, and assessment methods. It structures this information into a construction plan ready for university-level accreditation applications and instructional implementation, a revised syllabus, and an instructional calendar. The outputs include a Word-format construction plan (which includes an explanation of syllabus revisions), an Excel five-sheet workbook, and an HTML course development dashboard. The Skill covers the processes of benchmarking against "Two Enhancements and One Degree" (higher-order thinking, integrated learning, and challenge level), online resource ownership registration, calculating the proportion of online class hours, syllabus revision, flipped classroom activity design, platform data collection, assessment evaluation and grade composition, Q&A operations management, effectiveness analysis and reflection, as well as development progress and acceptance criteria. The article outlines the Skill's positioning, origin and metadata, core functions, installation and activation methods, and trigger keywords, while also highlighting its applicable scenarios and practical considerations for deployment.

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Introduction to Case Cloud Skill: Managing Cases, Schedules, Clients, and Finance with Natural Language

Case Cloud Skill (law086) is an Agent Skill designed for lawyers and law firms, maintained by user_e979f68b. It is categorized under business-ops (Version 1.0.1) and is tagged with requires_api_key=true. It utilizes natural language to trigger operations within Case Cloud, including case inquiry and creation, case status updates, scheduling, case handling records, clients, projects, finance, and payment collection records. The retrieved materials do not provide a unified installation command or API Key fields; triggers related to contracts and documents require verification based on account permissions before use.

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Deep Whale Weekly Report (dsh-weekly-report): Generate Daily-Grouped Markdown Weekly Reports from Git Commits

Deep Whale Weekly Report is a DSH workflow plugin that generates a daily-grouped weekly report Markdown skeleton based on commits from a specified Git repository within a given time range. It supports both CLI (`dsh-weekly-report --input --since --out`) and a read-only "Deep Whale Weekly Report" panel in the web sidebar. The installation command is `dsh plugin --profile web add @deepwhale-cn/dsh-weekly-report`. It is suitable for scenarios where weekly reports need to be written based on commits. Please verify the source code and license before use, as the plugin accesses the repository with the permissions of the current dsh process.

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API Debugging, CLI Testing, REST Verification: Performing REST API Testing in the Command Line

This is a command-line HTTP debugging Skill designed for development scenarios, identified as @user_2fd890c9/cli-20260801 (Version 1.0.23). Published by the community account user_2fd890c9, it is categorized under dev-programming with a community source. It integrates REST interface validation into the command-line and Agent workflow, offering four core capabilities: REST API testing, request construction, response formatting, and batch execution. Users describe the interface to be tested using natural language; the Skill constructs and sends the request, outputting the response in a readable format. Multiple requests can be executed in batches, eliminating the need to switch between visual tools and the terminal. Current data indicates a SkillHub rating of 100,000 and 934 downloads, with 0 installations. The tag `requires_api_key=false` indicates that no API Key is required for use. It should be noted that the retrieved data only provides a functional overview and lacks official installation commands, configuration fields, or reproducible examples. Therefore, this text does not provide unverified commands but suggests referring to the official page and the host’s Skills documentation for accurate instructions. Based on the universal `SKILL.md` format, this Skill is typically loaded as a local directory in hosts supporting Skills, such as Cursor, Codex CLI, and Claude Code. The directory structure and activation method depend on the specifications of each host. **Usage Notes:** Due to its community source and zero installation count, it is recommended to verify request content before using it in production environments. If the target interface requires authentication, users must provide credentials separately.

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Deep Whale Terminology Unification (dsh-terms-glossary): Multiple Ways of Writing the Same Concept in Documents

The DSH workflow plugin `@deepwhale-cn/dsh-terms-glossary` is designed to scan `.md` and `.txt` documents for variations of the same concept (e.g., '深鲸' vs. 'DeepWhale'). It provides per-file occurrence statistics and flags mixed usage without modifying the files. It supports CLI and the "DeepWhale Terminology Unification" Web sidebar. Installation: `dsh plugin --profile web add @deepwhale-cn/dsh-terms-glossary`. Maintainer: feely0208. License: MIT 0.1.0.

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dsh-sidebar-compact: Sidebar Plugin List Height Restriction and Inner Scrolling

Introducing the community client plugin @deepwhale-cn/dsh-sidebar-compact: It applies a height limit of 38vh (max 340px) with internal scrolling and a bottom fade-out effect to the plugin list in the "global panel" on the DSH web client. It does not introduce new icons or alter plugin behavior. The official installation command is dsh plugin --profile web add . It is implemented purely in CSS natively, is not active when the sidebar is collapsed, and is best suited for specific scenarios. Please ensure you review the source code before installation.

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story-cover: Generate a web novel cover with the provided book title and author name.

story-cover is a novel cover generation Skill published on SkillHub (username: @org-eyw2ohcx/worldwonderer-oh-story-claudecode-story-cover, version 1.0.0, source: enterprise, category: design-media, publisher: RealQ). Users only need to provide the book title and author name; the Skill automatically determines the genre style, then calls GPT-Image-2 to generate a cover containing the book title and author credit, saving users the effort of writing image prompts and handling layout themselves. In the Codex CLI environment, it preferentially uses the built-in ImageGen, requiring no separate API Key application. Trigger methods include /story-cover, /封面, as well as phrasing such as "help me make a cover", "generate a cover image", "make a novel cover", "cover design", and similar expressions. Due to the failure in scraping the official page, this article does not include installation commands, configuration fields, or command-line examples, nor does it adopt the mutually inconsistent download counts and rating figures; it is written solely based on the metadata and introduction that have been successfully retrieved.

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The Articulation Coach: Turning "Clear in Mind but Stuck in Throat" into Ready-to-Use Scripts

**Haohao Shuohua Coach** (`@org-d48rnc0s/haohao-shuohua-coach-pay`, v1.2.1) is a paid Agent Skill designed for daily communication, released by Xinmi City Guoguo Network Technology Studio and categorized under content creation. Instead of offering theoretical advice, it provides ready-made scripts for six high-frequency scenarios: rejecting work dumps from colleagues, declining loan requests from relatives, and managing unreasonable demands from superiors; reporting to leaders using a "conclusion-first" approach with two proposal plans; three-stage escalation scripts for debt collection and wording for evidence preservation; apologies that acknowledge specific facts without using the word "but"; consoling by addressing emotions before offering solutions; and toasting, declining alcohol, and救场 (saving face/smooth transitions) phrases for dining occasions. Each scenario follows a fixed output framework consisting of four sections: structure, example sentences, anticipated responses, and taboos, allowing users to send them immediately after minimal modification. This Skill does not require an API Key. As specific installation commands were not verified in this article, it is recommended to confirm them on the official page.

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DeepWhale QQ Bridge (dsh-qq-bridge): Integrating QQ into DeepSeek Harness

The DSH client plugin @deepwhale-cn/dsh-qq-bridge (v0.3.1) integrates QQ into DeepSeek Harness, supporting either QQ Open Platform WebSocket (AppID/AppSecret) or OneBot v11 as connection channels. It features sidebar messaging, inbound message queues, and full audit logging in JSONL format. Starting from v0.3, the official channel supports keyword-based rule auto-reply functionality (disabled by default). This article, based on the README, covers installation commands, dual-channel configuration, typical onboarding steps, and security boundaries.

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Weibo Comment Analysis and Requirement Mining: Structuring Conclusions from Post Comments

Weibo Comment Analysis & Demand Mining is a community-contributed data-analysis Skill located at @user_825d9e7e/weibo-comment-insights. Currently at version 1.0.11 and maintained by user_825d9e7e, it takes comments from user-provided Weibo post links or content IDs as input. It outputs structured conclusions including pain point summaries, purchasing concern compilations, FAQ extractions, reputation analysis, comment reply observations, and content discussion reviews. It is designed for content operations, product research, brand research, and creators. This Skill is marked with requires_api_key=true, meaning API Key credentials must be configured before use. No independent installation command is provided; relying on the standard SKILL.md format, it can be placed directly into an Agent's Skill directory for use. It is invoked by specifying the "analysis objective plus post link or content ID." Output quality depends on the completeness and representativeness of the comment sample; manual spot checks are recommended when samples are incomplete or contain spam.

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dsh-legal-viz: Visualize case facts and evidence JSON into printable single-file HTML

dsh-legal-viz (@deepwhale-cn/dsh-legal-viz) is a DSH Web client plugin maintained by feely0208. It renders case JSON into timelines, legal relationship graphs, evidence matrices, and issue comparison charts, and outputs a single-file HTML that can be opened offline and is A4-friendly. It supports pasting in the sidebar or selecting a file to preview and save, and provides a dsh-legal-viz CLI with a --demo option. Installation command: dsh plugin --profile web add @deepwhale-cn/dsh-legal-viz. Requires Node 18+ and a DSH version within the range declared in package.json. MIT licensed; outputs must be reviewed by a lawyer and do not constitute legal advice.

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Product Planning Expert: Delegate product rules, pricing, and portfolio synergy to a single Skill

Introduces the SkillHub community skill “Product Planning Expert” (@user_ce145526/ba-capability-064, v1.0.0, category business-ops, source community, tag requires_api_key=false). This Skill targets the product planning phase and, based on inputs such as customer needs, market conditions, and route characteristics, sequentially produces product rules, pricing plans, portfolio synergy recommendations, and publishable strategies, with a fixed output structure. The main body describes its positioning and four core capabilities, and notes that the official page was inaccessible during this crawl; therefore, the install command, directory conventions, and configuration fields can only be given as generic SKILL.md convention paths and should follow the documentation of the client being used. It also provides an illustrative invocation example. Key points include: it is community-sourced and not official; the introduction context leans toward travel; the metadata lacks a capability list and schema; real-time page ratings and download counts may vary; and the install count captured in this crawl is 0. An official URL is provided at the end for further verification.

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"WeChat Channels Marketing Content and Selling Points Analysis: Deconstructing the Marketing Structure of a Single Video"

Title: This is a community Skill published on SkillHub (Coordinate: @user_113322ce/novaai-wechat-channels-marketing-analysis, Version 1.0.2, Category: content-creation). It is used to analyze public WeChat Channels content (WeChat's short video feature), outputting information such as target audience, pain points and promises, evidence for selling points, trust mechanisms, CTAs, and suggestions on phrasing. It applies when a user provides a video link and asks for a breakdown of marketing copy, how to explain selling points, or action guidance. It does not predict conversion rates, ROI, or audience demographics, nor is it used for requests that only require summaries or transcripts; if a link is inaccessible or subtitles are missing, it reports this truthfully and does not fabricate content. The flag `requires_api_key=false` is set, and for installation, refer to the SkillHub page.

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Deep Whale Legal Hub (dsh-legal-hub): Centralized Entry for DSH Sidebar Legal Tools

DSH sidebar panelists cannot be grouped, leaving four legal plugins—Contract Checkup, Citation Verification, Compliance Documents, and Chinese Typography—scattered and difficult to locate. DeepWhale Legal Hub (@deepwhale-cn/dsh-legal-hub) is a pure client-side Hub maintained by feely0208: it provides a fixed entry point in the sidebar, where clicking cards within the panel triggers a jump to the corresponding panel via `ctx.layout.selectPanel`, showing a prompt if the plugin is not installed. It also includes a skill library, a data masking app, and external links to legal resources. Installation: `dsh plugin --profile web add @deepwhale-cn/dsh-legal-hub`. MIT License, dsh >=0.1.0-rc.6 <0.3.0.

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arXiv Paper Reading Assistant: Read Abstract, Table of Contents, and Full Text by arXiv ID

The arXiv Paper Reading Assistant is a Skill on SkillHub maintained by community publisher user_c5d41a7d (version 1.0.0, category: knowledge-management, tag: requires_api_key=false). It directly fetches abstracts, tables of contents, and full texts based on arXiv IDs, transforming AI automation platforms into conversational paper readers and eliminating the need for manual PDF downloads and text organization. This article introduces its positioning, core features, installation and activation methods, typical use cases, and applicable scenarios. Note: The displayed rating of 100,000 and 1,071 downloads are platform snapshot data captured at the time of page retrieval. Official documentation does not provide specific installation commands, and the integration differences among Cursor, Codex CLI, and Claude Code have not been verified. As it is sourced from the community, its parsing quality and stability require empirical testing.

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Reducing AI Detection Rates: A Skill for Paragraph-by-Paragraph Humanization of Long Texts

Article AI Detection Reduction (ID: @mengyingavatar/reduce-jinjiang-s2, version 1.0.0; publisher: Mengying Avatar; source: enterprise; category: content-creation) is an AI detection reduction engine built for long-form writing, suitable for novels, screenplays, articles, and papers. Its core capability is humanizing rewriting paragraph by paragraph: it preserves the original meaning and logic while only optimizing expression and details, making the text natural and fluent and lowering AI-detection rates. Trigger phrases include “文章降AI率,” “文章降AI,” and “文章AI检测太高.” The listing tags indicate pricing_type=paid and requires_api_key=false, meaning it is a paid product but does not require separate API key configuration. The page shows a rating of 100000 and 1036 downloads. No official installation commands or configuration fields are provided; this article states this factually and refers to the official page without speculation. It is suitable for post-processing at the expression level after a draft is completed, not as a substitute for content creation, and it does not fix logical or factual errors. Different AI-detection tools have varying standards, so after rewriting you should retest with the tool you actually use.

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Deep Whale Damages Calculator (dsh-legal-damages): Formulas, Input Values, and Verifiable Amounts

@deepwhale-cn/dsh-legal-damages is a DSH client plugin maintained by feely0208. It only handles four categories of arithmetic: personal injury damages, labor disputes, loan interest, and liquidated damages. For each item, it outputs the formula, substituted values, and amount. It does not embed regional standards. Installation command: dsh plugin --profile web add @deepwhale-cn/dsh-legal-damages. It supports sidebar forms, CLI, and HTTP. Suitable for agents or legal professionals to estimate requested amounts and manually verify calculations. Output requires attorney review. MIT 0.1.0.

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Smart Assistive Toolkit for Special Education: AI Teaching Material Generation for Special Education Classrooms

The Special Education Intelligent Aid Kit, released by Kunlun Growth (version 1.0.0, category: education), is hosted on SkillHub (located at @kunlungrowth/edu-special-edu-aid) and marked with requires_api_key=false. Designed for special education teachers, inclusive education teachers, and parents of special needs children, it generates draft lesson preparation materials—such as sign language teaching points, screen-reader scripts, PECS communication cards, social stories, and task analysis tables—for students with hearing impairments, visual impairments, communication disorders, and intellectual disabilities. Supporting trigger words such as "Special Ed Aids," "Hearing Impairment Sign Language," "Visual Impairment Reading," "Communication Cards," "Social Stories," "Inclusive Education," "Mainstreaming," and "Individualized Education," it produces outputs based on conversational descriptions of student conditions, which are subsequently reviewed by humans to align with local customs, screen reader settings, and professional standards. This article details core functions, official configuration entries, client-specific activation notes, and reproducible examples regarding inclusive education, PECS, and task analysis.

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@deepwhale-cn/dsh-legal-cite-check: Offline verification of legal citations before document issuance

Introducing the DSH client plugin **@deepwhale-cn/dsh-legal-cite-check**: It extracts legal provisions, judicial interpretations, and case numbers from Markdown or text, and cross-references them against a bundled index of 1,513 regulations to flag abolished laws, out-of-range article numbers, and items pending verification. It provides a CLI and a Web sidebar panel, operating entirely offline. Includes official installation commands, usage examples, status tables, and applicable boundaries.

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Financial Statistics Bureau Data: Generating Form F203 Corporate Financial Status Report Based on Data Registration Form

The "Financial Statistics Bureau Data" is a community Skill based on SKILL.md, located at @user_6455883e/cwtjj. Published by user_6455883e, it is version 1.0.0, categorized under "professional," and tagged with `requires_api_key=false`. It generates the "Statistics Bureau Corporate Financial Status Table" (Form F203) based on data from registration ledgers or monthly report files. The recommended method uses only two files: a data registration ledger and a template. It also supports using monthly report XLS files combined with a template, or the raw four-file method. The trigger condition involves generating a financial status template result file according to the defined workflow when a user provides a data registration ledger plus template, or a monthly report XLS file plus template. The document details the specific steps for both input pathways and notes that input files must be complete and results must be reviewed according to statistical department requirements. It also reminds users that this Skill is sourced from the community and is not an official product.

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DSH-Industry-Construction: Engineering and Construction Sector Compliance Assessment

Introducing the DSH community plugin @deepwhale-cn/dsh-industry-construction (feely0208/dsh-industry-construction). This plugin provides CON-* rule scanning to address four key issues: construction data archiving, acceptance sign-off, special operations certification, and material witness sampling and re-testing. It includes regulatory references—such as GB/T 50328 and GB 50300—along with remediation suggestions. It details the official installation command, usage of the dsh-industry-construction CLI, and the "Engineering" tab of the Deep Whale industry compliance health check. Additionally, it reminds users to run the process with dsh privileges and to review the source code and MIT license prior to installation.

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AI Flavor Detection Skill: Detecting AI Writing Artifacts in Chinese and English Articles and Refining Paragraph by Paragraph to Mitigate That AI Flavor

AI Flavor Detection (@user_b2ed7aff/ai-detector-new) is a community Skill designed for content creation scenarios. Version 1.0.0, categorized as content-creation, and tagged with requires_api_key=false, the SkillHub page displays a rating of 100,000, 956 downloads, and 0 installs. It is used to detect AI writing traces in Chinese and English articles: it first outputs the overall AI rate percentage, then breaks down the results into four dimensions—vocabulary, sentence structure, overall structure, and style—providing separate scores for each. It marks suspicious text paragraph by paragraph and offers revision suggestions. Upon completion of the detection, users can proceed to the fourth step for paragraph-by-paragraph modifications and before-and-after comparisons. Trigger methods include phrases such as "Detect AI flavor," "Check AI rate," "AI flavor detection," "Does this article look like AI wrote it?," "Help me reduce AI flavor," "Remove AI flavor," "Lower AI detection rate," "humanize," and "AI detection." It also triggers when users paste or upload articles to ask about AI content or request rewriting generated text to resemble human writing. The official one-sentence positioning is: "One-click detection of AI writing traces in Chinese and English articles, outputting AI rate percentages and four-dimension analysis, and providing paragraph-by-paragraph revision suggestions to make the article more like human writing." It is important to note that the grading standards for ratings A-F, the units and thresholds for the four-dimension scores, and the detection accuracy have not been disclosed in public materials. As the official page failed to be scraped this time, the installation command and configuration fields could not be verified; therefore, this article does not provide fabricated installation steps.

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Physician Academic Profile Generation and Academic Communication Empowerment: Compiling Public Academic Information of Target Physicians into Compliant Profiles

This article introduces the "Doctor Academic Portrait Generation and Academic Communication Empowerment" skill (@baitongai/doctor-academic-portrait-generation-and-academic-communication-empowerment, v1.0.0, published by Baitong AI Service Platform, Business Ops category) on SkillHub. Designed for pharmaceutical representatives, academic promotion, and medical affairs personnel, it integrates the research of doctors' public academic information, compliant academic profiling, and general academic communication direction suggestions into a single workflow. It is intended for academic visit preparation, regional research, and the organization of physician information. The article outlines core features, official installation access, three typical use cases with trigger words, and clarifies compliance boundaries: it processes only public academic information, outputs general directional suggestions, and does not replace compliance review.

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