dsh-chat-digest: Organizing Group Chats into To-Dos and Dashboards with a Persistent Agent

dsh-chat-digest is a DSH memory-class plugin maintained by OverDustD7. It provides panels for To-Do, Opportunities, and useful information in the Web UI. A resident Agent reads chat exports from the inbox or custom pipelines on a schedule or via Fetch, and writes entries back, with support for backlinks to original content and attachments. Installation command: `dsh plugin --profile web add dsh-chat-digest`. Requires DSH >= 0.1.5-rc.1 and Node >= 22.5. The plugin does not parse chats itself and runs with the privileges of the current dsh process; review the MIT-licensed source code before installing.

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Minimalist Posters: Generate Zine Poster Prompts and Corresponding Images Based on a Theme

The Minimalist Poster (minimalist-poster-prompt) is a Skill delivered by the community in SKILL.md format, located at @user_f6758951/minimalist-poster-prompt under the design-media category. It transforms content briefs—such as themes, sentences, moods, and photos—into minimalist Zine poster prompts with stylistic constraints. Key features include extensive use of white space, aged paper textures, experimental layouts, and restrained color accents, along with the generation of corresponding bitmap images. The article outlines its positioning, core functionalities, activation methods, typical applications, and applicable limitations.

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DSH Team Fishbone: Sub-Agent Fishbone Diagram in Session Title Bar

The DSH workflow plugin "DSH Team Fishbone," maintained by outmanwt, displays the division of labor, status, and metrics such as Token consumption and duration between the Main and Sub-Agents via a fishbone diagram in the session title bar. It supports node details and one-click access to native sub-sessions. To install, use `dsh-team-fishbone.tgz` from the GitHub Release. It has been tested on DSH 0.2.1-rc.3 and is licensed under MIT, with no third-party runtime or external network dependencies.

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DSH Reading Companion: A Guide Based on Reading Progress

**Abstract** Reading Companion is a DSH workflow plugin maintained by OtakuP417 that utilizes section indices and EPUB CFI as the sole reading coordinates. Unread chapters are strictly blocked at the retrieval and tool layers. Discussions default to the Socratic method of inquiry. Insights and review cards are rule-generated and scheduled using the SM-2 algorithm, allowing for review even when the AI model is disconnected. The plugin supports EPUB and various standardized formats, with data stored in `~/.dsh/reading-companion/`. Installation command: `dsh plugin --profile desktop add "github:OtakuP417/dsh-reading-companion"`. Requires DSH version >=0.2.0-rc.1 <0.3.0-0. Released under the MIT License.

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Teacher Newsletter Writing Skill 2.0: A Pipeline from Data Collection to docx Persistence

Teacher News Feature Writing Skill 2.0 (@user_e636a7a0/teacher-news-feature, v2.0.2, community, content-creation, no API key required) This tool standardizes the production of teacher or principal profiles into a streamlined pipeline: gathering public information from the web and WeChat Official Accounts; conducting fact verification (names, affiliations, titles, and dates must be accurate; users are consulted if public records conflict with their statements); downloading authentic news images and labeling the source for each; drafting the headline, lead, body, and conclusion; typesetting according to the GB/T 9704-2012 official document format; and generating a .docx file via python-docx, archiving it in a folder named by "Date + Task Name." Image inclusion is a mandatory red line: submissions with fewer than 3 images (4-6 recommended) are deemed unacceptable and are immediately intercepted by the verify_image_completeness() function in docx_template.py, ensuring no newsletter is delivered without images. Built-in features include a unified Python runtime and dependency specification (to prevent silent failures in stripped-down Windows shells); an image pipeline covering "scraping → link extraction → caption association → download verification → compression" (long edge ≤ 1600px, JPEG quality 82, reducing docx size from 20MB+ to the 1MB range); read-back verification via Python after generation or revision; and a revision workflow using the Tencent Docs local editor (editor_sdk) where file_path must be explicitly passed to save_file. Trigger words include news feature, profile feature, teacher achievements, teacher report, write an article about Teacher X, etc. If the input is a transcript of a lecture, training session, or event, or if only a brief activity update is needed, please use news-brief-generator instead. No official installation command has been verified for this text, and this has been noted in the documentation.

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DSH Digital Pet: Trade Valid Tokens for Gold Coins and Raise a Pixel Pet in Your Workspace Corner

openLabBean's DSH Digital Pet is a virtual pet plugin that runs inside the DeepSeek Harness interface. It offers nine pets, six growth stages, and hover and click interactions. Earn coins by exchanging valid tokens to purchase pet food; pet care does not trigger additional model calls and does not read chat content. Supports offline care, a six‑month life cycle, and a keepsake album, with local saves per profile. To install, run `dsh plugin --profile <profile> add` in the plugin directory, then adopt a pet in Settings. MIT 0.1.0.

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Chat Content Soft-Selling Editing | Guo Yiyi: Generating Original Audio Soft-Selling Short Videos from Chat Replays

Introducing the community Skill “聊天内容软带货剪辑|郭亿易”. Based on SKILL.md, it takes live-stream chat playback, product materials, and a target duration as inputs, and outputs natural narrative original voiceover soft-selling short videos plus a quality inspection report. It is suitable for short-video operations and personal IP teams. Verifiable metadata includes: coordinates, version 1.1.0, source community, category content-creation, tag requires_api_key=false. Installation command and detailed configuration are not provided; this is stated truthfully without fabricating interface fields or examples.

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Google Workspace Productivity: Unifying Gmail, Calendar, and Drive Operations via the gws CLI and Python

This is a community Agent Skill for office efficiency, located at @user_ef9e183a/productivity-google-workspace (Version 1.0.0), published by user_ef9e183a. It unifies the operations of five Google Workspace components—Gmail, Calendar, Drive, Docs, and Sheets—into two calling methods: the `gws` CLI and Python. This approach helps developers avoid the burden of maintaining access tokens, permission scopes, and pagination when integrating with Google APIs individually. The article begins by addressing the pain points developers face when processing emails, schedules, and files, outlining the Skill’s positioning and capability boundaries. The tag `requires_api_key=true` indicates that Google API credentials must be prepared before use, which constitutes the primary usage cost. Due to two failed attempts to scrape the official page, the retrieved materials lack installation commands, configuration fields, and reproducible usage examples. The article honestly leaves these sections blank and explains the reasons, refraining from fabricating commands or version details. It also notes that this Skill is a community release with zero installs and version 1.0.0; users encountering issues are advised to read the source code or contact the publisher independently. Its capability boundaries are further subject to Google API quotas and approval processes. The article concludes by providing the official page and interface addresses for readers to verify.

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dsh-peerbar: Aggregating Multiple DSHs into a Unified Official Sidebar Frontend

dsh-peerbar is a DSH community plugin (v1.2.0, MIT) maintained by observer130 that interleaves local and remote DSH workspaces and sessions into the official sidebar via direct HTTP/TLS connections, while the center pane, conversations, and execution remain on the remote hosts. This eliminates the need for SSH tunnels and requires no plugin installation on remote hosts. Drawing from the GitHub README, this article outlines compatible versions (Desktop 0.2.2-alpha.2, Remote 0.2.1-rc.2/3, etc.), graphical installation steps for DSH Desktop, remote host and token configuration, as well as caveats regarding write operation scope, credential storage paths, self-signed certificates, and the lack of NAT traversal.

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Retail Customer Communication and Script Advisor: Breaking Down Customer Communication into Reusable Insight-Driven Processes

Targeting front-line relationship managers and financial advisors in banking, wealth management, and insurance, the SkillHub Skill (Coordinate: @user_8c473276/retail-customer-communication-advisor) is a Community Release version 1.1.0. Categorized under business-ops, it requires no API Key and boasts a SkillHub rating of 100,000 with 1,240 downloads. It addresses three key pain points: clients' difficulty in understanding complex concepts, advisors' inability to initiate conversations effectively, and the lack of personalized strategies (treating everyone the same). The skill features four core characteristics: 1. **Robust Theoretical Foundation:** Analysis is built upon over a dozen theoretical models, including OCEAN, DISC, RFT, NFC, CFC, TTM, Mental Accounting, ELM, Cialdini’s Six Principles of Persuasion, SPIN, the 5A Customer Journey, Persona, Life-cycle Need Analysis, and SERVQUAL. 2. **Goal-Oriented Customization:** Switching between eight distinct business objectives—Ice-breaking & Contact, Churn Retention, AUM Enhancement, Product Sales, Maturity Conversion, Daily Maintenance, Customer Escalation, and Event Invitation—generates entirely different strategies and scripts for the same customer profile. 3. **Rule-Based Execution & Compliance:** Profiling and predictions are executed strictly according to pre-configured rule documents rather than free inference. Every conclusion is annotated with a confidence score and source, backed by three layers of review: SERVQUAL quality, information integrity, and compliance red lines. 4. **Structured Workflow:** The process is divided into Phase 0 (Information Pre-processing), Profile Layer, Prediction Layer, Strategy Layer, Review Layer, and Output Layer. It produces a structured Customer Insight Briefing following a specific sequence: Customer Profile → Personality Insights → Needs Insights → Strategic Judgment → Action Suggestions → Reference Scripts. It supports natural language triggers such as "customer communication," "script suggestions," "help me analyze a client," and "how to start the conversation." The article notes that the provided materials do not include installation commands or configuration fields, directing users to the official page for details. It also highlights precautions regarding rule document coverage, the use of confidence scores, compliance reviews, and the integration of external data sources.

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Audio Transcription Assistant: Delegate Audio Transcription and Meeting Content Extraction to an Agent

Audio Transcription Assistant (@org-02qudk26/gladia-automation) is an office productivity Agent Skill released by Zhiyu Technology, version 1.0.0. Origin: enterprise. No API key required. It combines audio transcription and meeting content extraction into a single task, eliminating repetitive workflows of moving back and forth between transcription tools and documents, and delivers ready-to-use transcripts and conclusions. It is suitable for scenarios such as meeting minutes, interview organization, and content archiving. The official page could not be accessed at this time, and the pre-fetched materials did not provide installation commands or reproducible examples. This article discloses these limitations as-is and does not fabricate configuration options or cases.

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SoloPup Memory: A Source-Provenance DSH Textual Memory Plugin

SoloPup Memory (solopup-memory) is a DSH memory plugin maintained by OakcoderX, MIT licensed public beta. It persists user preferences, project decisions, and verifiable clues in a local database with source binding and a layered structure (source/candidate/effective memory/revision history), and supports tools such as memory_write, memory_search, and memory_status. Retrieval distinguishes global from project scopes and indicates provenance. Installation example: dsh plugin --profile desktop add solopup-memory@beta --ignore-scripts. There is currently no vector search; be mindful of beta boundaries, privacy considerations, and the 2000-character source window limit.

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dsh-notify: Push DSH Critical Events to Windows Notification Center

dsh-notify (NotLinky671) provides native Windows 10/11 Toast notifications for DeepSeek Harness: events such as root turn completion/failure/interruption, approval requests, ask_user_question, context pressure, and optional daily token budget can surface to the system notification center, with click-to-focus support. Windows only; installation is via github:NotLinky671/dsh-notify — do not confuse it with the same-named npm package. Configuration is written in cordis.patch.yml. No network access, zero runtime dependencies, MIT license.

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Image Editing (Nano Banana 2): Performing Photo Retouching and Image Post-processing in an Agent

Nano Banana 2 is an image editing Skill released by Stream Xiao Xiao Studio on SkillHub. Located at the @seedoragroup/seedora-nano-banana-2-image-edit coordinate, it is classified under design-media (Version 1.0.0). This Skill enables agents to edit uploaded images via text commands, natively supporting stylization, color grading, local modifications, background replacement, portrait retouching, and image post-processing, provided that an existing image is available for editing. This article covers its core features, installation and activation methods, typical use cases, applicable scenarios, and precautions. The official link is https://api.skillhub.cn/seedoragroup/seedora-nano-banana-2-image-edit

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Lazy Senior Developer Mode: Adding a Ponytail Code Review Process to AI Agents

The Lazy Senior Developer Mode is a community Skill published on SkillHub, with coordinates @user_3c6cb52e/ponytail-jb44, version 1.0.0, category dev-programming, publisher user_3c6cb52e, source community, and requires_api_key=false. Its core is a Ponytail code review process that helps AI Agents perform code reviews and quality checks, transforming the originally casual conversational review into a structured process with order and checklist items. The article first starts with two common issues in AI review, introduces the Skill's positioning and metadata, then explains its core capability boundaries, followed by a truthful description of the installation method: the official page was inaccessible at the time of writing, so installation commands, directory paths, and configuration fields were not verified; only the coordinates, version, and no API Key requirement were confirmed. The typical usage section did not provide reproducible examples due to missing information. Finally, it discusses applicable scenarios and considerations, including maintenance risks of community sources, early version status, and differences in data metrics for scraping information and clues (100000/1197/installations 0 vs 99266/1082), suggesting to refer to the real-time data on the official page. The article provides the official address for readers to confirm access details themselves.

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Nano Banana Pro Courtyard Landscape Rendering Generation: Turning Courtyard Photos or Floor Plans into Renderings

Targeting courtyard and villa landscape requirements: Submit text specifications, along with optional courtyard photos or floor plans, functional zoning, plant selections, and style preferences to Nano Banana Pro. It outputs localized rendered images illustrating the relationship between plants, paving, and leisure areas, followed by file validation. Skill Coordinate: @user_113322ce/novaai-nano-banana-pro-courtyard-landscape-render; Version: 1.0.2; Source: community; Category: design-media; Tag: requires_api_key=false. According to the official description, specific balcony layout rendering generation should be used for small balconies. During the writing process, the official page was inaccessible; therefore, the installation command, directory, and configuration fields remain unverified. No information has been fabricated in the text.

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Hand-drawn Travel Map Generator: Turning Latitude and Longitude into Sketch-style Route Maps

This Skill consolidates the "list of lat/lng coordinates to hand-drawn route PNG" workflow into a single step: taking an ordered list of lat/lng coordinates for Chinese cities as input, it outputs a hand-drawn travel route PNG without requiring any additional API keys at runtime. The article outlines its positioning, two verified capabilities, and trigger keywords (sketch map, hand-drawn map, travel route map, 手绘地图, 行程图, 路线图), and notes that the installation command should be based on the SkillHub page. It is suitable for itinerary planning and creating stylized route diagrams for content creation. Its limitations include coverage restricted to Chinese cities, static PNG outputs, and the absence of interactivity and navigation.

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Building a Personal Knowledge Base: Organizing Notes with Bi-directional Links, Tags, and MOC Indexes

Released by Kunlun Growth, version 1.0.0 (categorized under knowledge-management), the Personal Knowledge Base (@kunlungrowth/kg-personal-knowledge-base) targets note-taking tools with bidirectional linking capabilities, such as Obsidian and Logseq. It utilizes a tagging system and MOC (Map of Content) indexing to organize scattered notes into a searchable "second brain." This article outlines its three core capabilities: bidirectional linking, tagging system, and MOC indexing. It also specifies the official coordinates and page addresses, noting that, as of 2026-11-04, official documentation does not provide installation commands, configuration fields, or reproducible examples, so the official page shall be the standard. Note that its effectiveness depends on the user's discipline in maintaining links, tags, and indexes; the official page shows an installation count of 0, and there is currently no actual deployment feedback for reference.

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Stronger DSH: Extending Interfaces, Memory, and Collaboration on Native Harness

Stronger DSH (dsh-ui-stronger 0.18.14) builds upon DSH's existing model, subscription, compression, and permission systems to deliver a unified UI with animations, Token Meter, /compact and automatic compaction strategies, Hermes-style bounded memory with workspace retrieval, a skills/local skill library/knowledge base, workspace_team sub-session collaboration, ClawBot WeChat integration with pre-execution review. Requires Node 24 and DSH >=0.2.1-rc.3 <0.3.0-0; install with dsh plugin --profile desktop add to load the official .tgz. MIT licensed, a workflow-oriented community plugin.

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ppt-union-ad-minimalist: Generating Minimalist Black and White Advertising PPTs Using Image-Based Workflows

ppt-union-ad-minimalist is a community-sourced Office-efficiency skill, hosted at @user_939c80d1/ppt-union-ad-minimalist (v1.0.0). It uses an image-based workflow to generate minimalist black-and-white advertising PPTs: content analysis, outline confirmation, page-by-page image generation, and assembly into a PPTX deck. Unlike the traditional approach of drafting an outline first and then applying a template, it unifies the visual style through the generated images on each page, making it suitable for design showcases, architectural proposals, and high-end consulting—scenarios that emphasize a restrained, black-and-white visual aesthetic. The tag is requires_api_key=false, so no additional API key is needed. The page shows a score of 100000, downloads of 1229, and installs of 0. Note that the installation command is not provided in the page materials and should be verified on the official page; additionally, the install count of 0 indicates there is little large-scale usage feedback, and the image generation quality should be validated through hands-on testing.

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Stock Risk Eliminator: An Evidence-Based Screening for a Specific Stock

Stock Mine-Sweeper is a community-sourced professional skill produced by the developer official account "A Healthy Fool" (version 2.2.1), which requires no API key. It is triggered when users request mine-sweeping, risk reports, risk screening, pitfall avoidance inspections, deep risk analysis, or specific checks on capital increase financing, management penalties, PE percentiles, major shareholder pledges, goodwill, dual-high deposits and loans, and audit opinions. Following the v2.2.0 framework, it conducts layered checks across 24 red flags categorized into 5 groups: Valuation, Capital Operations & Shareholder Returns, Governance & Integrity, Financial Authenticity, and Fundamentals & Moat. Each item outputs evidence, sources, and confidence levels to generate a hierarchical risk report. This article introduces the trigger word list, verification framework, report structure, invocation methods, applicable limitations, and provides the official SkillHub address.

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WeCom Moments Content Risk Review and Sensitive Expression Substitution Table | Jianshi AI: A Pre-Publication Review of Factual, Compliance, and Platform Expression Risks

This article introduces the "WeCom Moments Content Risk Review & Sensitive Expression Replacement Table | Jianshi AI" skill. It is designed to detect factual, compliance, and platform expression risks before publishing content in WeCom Moments, delivering a sensitive expression replacement table and conducting a follow-up review based on the effective reply rate of Moments posts. The article outlines its positioning, core features, installation and activation methods, typical usage, applicable scenarios, and precautions. No specific installation command is provided in the materials; for activation details, please refer to the official page.

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dsh-nonead-prompt-rewind: In-place conversation rewind in the same window with optional file restoration

An introduction to the `dsh-nonead-prompt-rewind` plugin, maintained by NoneadChina, which enables in-place conversation rollback to any earlier user message within the same window. It optionally restores workspace files simultaneously via lightweight pre-write backups, offering semantics aligned with Claude Code's `/rewind` command. The documentation covers installation commands, `/rewind` usage, rollback history and snapshot storage, supported versions, and security boundaries. It also explains the differences between this feature, the default branch conversation, and Git snapshots.

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Analysis and Efficacy Evaluation of Beauty and Personal Care Ingredients: Translating Ingredient Lists into Verifiable Conclusions

Introducing the Community Skill "Cosmetics & Personal Care Ingredient Analysis and Efficacy Evaluation," published by user_fbba5d60, version 1.2.0, category: professional, no API Key required. Core capabilities include comprehensive ingredient list analysis across all categories, comparison of efficacy claims with scientific evidence, querying comedogenic/irritation ratings and skin type suitability. Version 1.2 adds new categories: men's grooming, mother & baby care, perfume, oral care; personalized risk annotations for skin profiles; integrated price search across the web via Haina Shopping Assistant; anomaly alerts and sample FAQs. Backed by a structured database of 300+ ingredients. The article also covers installation entry, typical query examples, use cases, and database coverage boundaries.

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dsh-jupyterlab: JupyterLab-style Manipulation of Persistent ipykernel Notebooks in DeepSeek Harness

dsh-jupyterlab is a DSH plugin maintained by NKUhan123. Building on @beihaizb/dsh-notebook, it adds a JupyterLab-style three-column layout, separated code and output panels, keyboard shortcuts, and Markdown cells, and provides a persistent ipykernel along with nb_* agent tools. This article explains its positioning, core features, the official installation command (github:NKUHan123/dsh-jupyterlab), and caveats such as its incompatibility with the upstream plugin, to facilitate enabling the Notebook tab in the desktop profile.

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