Simplifying Financial Writing: Making Bank Materials Read Like They're Written by Industry Veterans
"Say It in Plain Human (De-AI-flavored—Banking Writing Materials)" is a community Skill in SkillHub’s content-creation category, located at @user_0d2b33de/srh, version 1.0.0, and does not require an API key. It targets materials for banks, fintech, government collaboration, leadership reporting, implementation guidance, meetings, and business plans, providing rewriting, diagnostics, or drafting. Its goal is to transform mechanical, defensive, vague, slogan-like, or obviously AI-generated Chinese drafts into writing that leads with the conclusion, carries judgment, provides actionable levers, is executable, and uses organizationally appropriate phrasing, while preserving factual accuracy and risk boundaries. The article explains what it is, its core capabilities, how to enable it based on @user_0d2b33de/srh, example rewriting requests, applicable scenarios and cautions, and provides the official URL.
Read MoreBook Writing · Expert-level Professional Book Writing Engine: Turning Your Expertise into a Publishable Book
Released as version 1.0.0 on the SkillHub community, this AI-assisted writing Skill is tailored for academic, industry, and technical monographs as well as professional textbooks. It constrains outputs through five ironclad rules—meticulous terminology, rigorous argumentation, outline-first approach, elimination of AI-generated artifacts, and source discipline—and integrates a five-stage workflow comprising genre and register calibration, argumentation and outlining, terminology governance, chapter-by-chapter drafting, and comprehensive global review. The article outlines its positioning, core capabilities, installation and activation procedures, typical invocation examples, and applicable scenarios. It also clarifies that the Skill does not handle plagiarism detection or submission workflows, and that bibliographic data still requires manual verification.
Read MoreSupervision Log - DOCX: Documenting Daily Construction Activities in Standardized Tables
Jianli Rizhi-docx is a community-sourced general skill (@user_8c865e02/jianli-rizhi-docx, version 1.6.4, classified under office-efficiency, requires_api_key=false). It takes raw input regarding daily construction and supervision activities, uses AI to optimize the text into standard professional language, and generates a .docx file based on a fixed table format (Title, Project Name & ID, Date, Temperature, Weather, Key Supervisory Personnel Movements, Construction Environment, Construction Content, Supervision Work, Issue Rectification, Others, Recorder, Chief Supervisor's Signature). The template is embedded within the generator as Base64 (BUILTIN_TEMPLATE_B64). Placeholders are validated before generation to ensure consistent formatting regardless of changes in model, environment, or user; rebuilding the template is prohibited. Built-in rules remove "AI-flavored" language, modifying only clichés and jargon while preserving numbers, units, and technical terms. Chinese punctuation is enforced throughout, while standard formats for dates, pile numbers, and intervals are retained as-is. The "Issue Rectification" field defaults to "None" if no content is provided, and "Key Supervisory Personnel Movements" should contain names only. Weather data is queried via the keyless Open-Meteo API based on date and location, supporting historical data normalized to a controlled vocabulary. Optional photos are automatically cropped to a 4:3 ratio and inserted at the end of the document in a 2×4 grid. Project information provided by the user upon first use is retained permanently. The generation engine relies solely on the pure Python standard library with zero third-party dependencies (except for optional Pillow for photo compression). As the sourced materials did not include installation commands or loading differences for Cursor, Codex CLI, or Claude Code, these details are not supplemented here.
Read MoreMemWeave: A DSH Plugin for Weaving Memory into Personality
**English Translation:** "Memoria (dsh-mem-weave) is a memory-and-personality plugin developed by QuaonY for DeepSeek Harness. It uses local SQLite storage, and features configurable default token limits for per-turn injection (e.g., 4000/1200/900 characters), supporting layered memory, half-life-based forgetting, conflict freezing, and 24-hour retraction. It provides an eight-page management interface and weave_* tools; the AI can only write memories and suggestions, while personality and rules remain subject to human adjudication. Installation can be completed via the tgz package from Releases and dsh plugin add. It is licensed under MIT."
Read Moredsh-ccd: Transforming Reasoning into First-Person Short Notes, Retaining Full Chain of Thought in Session
dsh-ccd is a DSH model inference plugin maintained by mmyddd. It translates raw Chain-of-Thought (CoT) from the interface into first-person work notes of one or two sentences in real-time, supporting original text viewing and historical session restoration; the Session and model sides retain full reasoning capabilities. It can be installed via the plugin page by adding a GitHub repository or downloading a release tarball. It supports transcription via providers or local MiniCPM5-2B, with configuration options including language, segmentation, concurrency, and retention policies. Licensed under MIT, notes are stored in SQLite under the DSH_HOME directory.
Read MoreDSH Fujiang Unrestricted: Desktop One-Click Install "Work Assistant" Presets and 240+ Skills
DSH Fujiang Unrestricted is a DSH client installation package maintained by HanKuCha: on Windows, DSH-Fujiang-Installer.exe only modifies DSH_HOME, registers the "Work Assistant" (ws-helper) preset and 240+3 bundled skills, without touching the program directory, disabling the sandbox, or bypassing approval. The article describes the preset composition, installation and uninstallation steps, environment requirements (Win10/11, .NET 4.8, DSH Desktop 0.2.x), and usage boundaries, and provides the SkillHub and GitHub sources.
Read MoreInterpreting Dreams (A Practical Guide): First Determine the Type, Then Provide a Four-Dimensional Analysis
This Skill is a community knowledge-based dream-interpretation Skill, located at @user_746fc03f/zhougongjiemeng, version 1.0.0, category knowledge-management, with the tag requires_api_key=false. It does not directly classify dreams as auspicious or inauspicious. Instead, it first identifies different types such as past-life dreams, prophetic dreams, organ-related dreams, and natural dreams, and then interprets them across four dimensions: Duke of Zhou’s dream interpretation, TCM dream diagnosis, modern psychology, and Buddhist and Taoist spiritual practices. The knowledge base covers 27 major categories from the Complete Original Duke of Zhou Dream Interpretation, the theory of dream-inducing pathogenic influences in the Huangdi Neijing, Freud and Jung’s modern psychology, and Buddhist and Taoist spirituality. The article outlines the core features, how to enable the Skill, and typical usage examples, and warns that it does not replace medical diagnosis, psychological counseling, or legal judgment.
Read Moredsh-aio-agent: Unified Integration of Coding Agents like Cursor and Claude Code into DSH
The DSH plugin **dsh-aio-agent** (v0.0.1, MIT), maintained by cocofhu, integrates Cursor, Claude Code, Codex, OpenCode, CodeBuddy, and Kimi Code into the DeepSeek Harness mode menu. In each turn, it calls the corresponding CLI or Kimi ACP on the host machine running DSH. DSH is responsible for rendering, Skills, /resume, and session logging, without invoking any proprietary models. The article details official installation commands, installation and login instructions for each agent, configuration options, and known limitations.
Read MorePersonal Knowledge Management: PARA Aggregation, Atomic Notes, and the Review Loop
This article introduces the "Personal Knowledge Management" Skill on SkillHub, located at @kunlungrowth/kunlun-knowledge-pro. Released by Kunlun Growth as version 1.2.0 and categorized under knowledge-management, it requires no API Key. The Skill organizes the PARA four-quadrant system, atomic notes, bidirectional links, evergreen notes, spaced review, and output-driven input into a set of actionable rules. It also embeds built-in parameters such as atomic note granularity, link density thresholds, weekly and monthly review cadences, card reuse rates, and a checklist of common distortions. It covers four primary scenarios: reading notes, second brain, research materials, and team knowledge accumulation. The article details its core features, installation and activation methods, usage considerations, and provides the official URL.
Read MoreSAP Financial AI Assistant: Financial AI Capability Package for SAP FI/CO
SAP Finance AI Assistant (user_7f2d3808/sap-finance-ai) is a community-sourced skill categorized as “professional,” currently at version 1.0.0, used to build AI capabilities for the SAP FI/CO finance modules. It includes three built-in analysis engines and seven scripts, covering the setup of AI scenarios for AR/AP, General Ledger, Asset Accounting, Cost Ownership, and Profitability Analysis, as well as batch maintenance and validation of four master data types—materials, customers, vendors, and prices—and it provides three SAP system connection configuration methods: RFC, OData, and BTP. The documentation structure consists of 30 files, six documents, and six role-based usage guides. Key technical features include zero dependencies, data linkage, leakage detection, IQR-based anomaly detection, seasonality analysis, and OData support. The tag is requires_api_key=false (no external API key required). At the time of data retrieval, the page shows a rating of 100000, 1,280 downloads, and 0 installations. It is suitable for building foundational SAP AI capabilities, implementing AI in finance scenarios, routine master data maintenance, and producing technical documentation.
Read Moredsh-identity: Providing DSH peers with a set of verifiable local identity statuses
dsh-identity is a DSH memory plugin maintained by Anarrogantcat. It provides agents with an editable kernel, evidence-based traits, memory and consolidation with confidence levels, journaling and reflection, mood v2, autonomous proposals, and governance/runtime capability layers. The identity segment and the "Big Fat Fish" panel function in any DSH session, with QQ serving as an optional channel. Based on the official README, this article introduces the five-layer architecture, installation commands (github:Anarrogantcat/dsh-identity), panels, and common group commands, while explaining local permissions, code gates, and optional self-configuration items such as voice and Bilibili.
Read MoreDataMax Data Visualization Large Screen Assistant: Breaking Down Large Screen Design into Executable Steps
This article introduces the community Skill "DataMax Data Visualization Dashboard Assistant" (Location: @user_10b0a9e9/datamax-cli-suite, Source: community, Category: data-analysis, Version: 1.0.10). It targets tasks involving data visualization, data dashboards, BI dashboards, executive cockpits, operational boards, sales dashboards, and screen design. It is applicable when planning layouts and visual styles, searching for templates, components, or assets, or creating, modifying, beautifying, and validating DataMAX dashboards. The core mechanism is task routing: selecting either datamax-max-design or datamax-max-peiping based on the specific task. If the formal capabilities are not installed, it guides the user to install them via datamax-skill. This Skill carries the `requires_api_key=true` tag, so credentials must be confirmed before use. Since installation commands and invocation parameters are not provided in the source material and have not been fabricated here, referring to the official page is recommended.
Read Moredsh-comfyui-workbench: Enabling the DSH Model to Invoke ComfyUI Workflows
dsh-comfyui-workbench is a DSH workflow plugin maintained by YuChenLiao. It exposes local ComfyUI workflows to the model for invocation via tools such as comfyui_run, and provides three UI panels: an asset library, workflow management, and a ComfyUI terminal. The plugin is split into seven entries—core, gallery, workflow, generate, edit, danbooru, and terminal—each of which can be toggled on or off independently. Configuring parameters such as baseUrl, workflowsDir, and outputDir is sufficient to connect to a local ComfyUI instance. Install it with the command `dsh plugin --profile desktop add github:YuChenLiao/dsh-comfyui-workbench`; a DSH restart is required after installation. It is designed for developers who need to list, inspect, and asynchronously execute arbitrary API-format workflows within agent conversations, and to centrally manage generated image outputs.
Read Moredsh-enhance: Adjust Brand Persona and Content Boundaries in System Prompts
dsh-enhance is a DeepSeek Harness plugin maintained by wufeng0105 that modifies system prompts through Cordis patches: it can retain, remove, or customize the opening branding sentence, append up to 8 KB of content boundary text at the end, and configure out-of-bounds approval with optional Enhanced permission levels. Configuration is stored in ~/.dsh/enhance/, synchronized between the settings page and files, and supports checking session logs to verify effectiveness. Applicable to DSH versions before 0.2.1-rc.1 to rc.6. MIT licensed.
Read Moremaodie-pet: Orange Cat Desktop Pet Assets and DSH Installer
maodie-pet is a DSH plugin maintained by Edwardpch that provides 32 VP9-alpha orange cat actions for dsh-pet, along with maodie-config.json, installed to the flat path ~/.dsh/dsh-pet/pet/. The plugin includes a SHA256-based three-way merge installer that prevents overwriting user-modified assets and configurations during upgrades, and comes with a complete toolchain for converting green screen footage to transparent webm, including tools like maodie-matte.py and maodie-import.mjs. To install, run `dsh plugin add https://github.com/Edwardpch/maodie-pet` (dsh-pet must be installed first). Licensed under MIT and categorized as "Fun Dress-up".
Read MoreFull Workflow Process of a Construction Diary: From Draft Generation via Photos to Verification and Archiving in a Local Closed-Loop
The Construction Diary Full Process tool (@user_a018637d/construction-diary-suite, v1.1.1, category: office-efficiency, requires_api_key=false) integrates generation and archiving into a single pipeline. AI generates a structured draft based on on-site photos and dictated content, which is converted into a unified intermediate model (canonical_diary.json) by to_canonical.py. Subsequently, verify_cli.py or the HTTP import interface loads it into a local validation database to automatically run triple checks on dates, mandatory fields, and rosters. Finally, it completes column photos, material entry sheets, construction milestones, and the electronic signatures of the construction foreman, allowing for one-click archiving and export to WORD (with embedded photos), CSV, or XLSX. With zero third-party dependencies and fully local operation, sensitive engineering archives never leave the local machine. It is suitable for daily construction records and data archiving at construction, municipal, and water conservancy sites. The article provides a reproducible five-step usage guide, activation differences by Agent, applicable scenarios, and limitations (checks do not cover technical content accuracy; no cloud collaboration).
Read MoreCookie Percentage Meter (dsh-cookie-meter): DSH Desktop Login Cookie Usage Alerts and One-Click Cleanup
Each time DSH Desktop starts, it writes dsh-auth login cookies but never clears them. After about 72 entries, HTTP 431 is returned and the app cannot be opened. The community plugin dsh-cookie-meter shows a floating widget in the bottom-right corner displaying the percentage of maxHeaderSize consumed by cookies, turning red when usage exceeds 50%, and offers one-click clearing or reset on next launch. It provides read-only statistics and does not connect to the network. Windows-only and DSH Desktop 0.2.x only. Install with: dsh plugin --profile desktop add. MIT license.
Read MoreProgramming AI Assistant: Introduction to Skills for the Programming Domain
The Programming AI Assistant, published by Kunlun Growth, Version 1.0.0, Category dev-programming, Source enterprise. It focuses on the programming domain, with trigger words "programming", "debugging", "API", and "dev". The tag requires_api_key=false indicates that no additional API key is needed. Its features center on code writing, debugging support, and API usage. At the time of this scrape, both the official page and the API were unreachable, and the installation command could not be verified. The body only records verifiable metadata and notes to refer to the official page for authoritative information. It is suitable for developers who need to complete programming work directly within conversations and reduce tool switching. Before using it internally within a team, it is recommended to validate it on small tasks first.
Read MoreChinese Official Writing: Drafting, Rewriting, and Review of Official Documents
The chinese-official-writing package is a community skill package on SkillHub (version 1.0.0, categorized under professional, no API Key required) that divides Chinese official document writing into three task types: drafting, rewriting, and review. It covers over thirty types of official documents and materials, including statutory documents and administrative materials such as notices, requests for instructions, reports, letters, reply letters, approvals, opinions, decisions, resolutions, proposals, bulletins, commands, announcements, circulars, public notifications, circulars of notification, meeting minutes, as well as plans, specifications, applications, letters soliciting opinions, procurement announcements, feasibility studies, research reports, summaries, key points of work, review materials, speeches, addresses, and work reports. Rewriting goes beyond simple polishing—it includes coherence improvement, compression, removal of colloquialisms, and reduction of AI-style phrasing. Review focuses on document type validation and verification of processing elements. The official description clearly defines the boundaries: it is not intended for English, literary, marketing, social media, or batch corpus content, nor does it replace legal, financial, procurement, or audit judgments. Since the official page was inaccessible at the time of this writing, the article does not include unverified installation commands or configuration fields, and instead only provides steps for verification and activation.
Read MoreAnnual Income Goal Breakdown Tool: Reverse-Engineering Yearly Targets into Actionable Pathways
The Annual Income Goal Decomposition Tool is a community-sourced Agent Skill (posted by @user_41b104fd; categorized under life-service; no API key required). Using reverse thinking (goal backcasting → task decomposition → behavior quantification), it breaks down annual income targets into executable pathways and action checklists. It offers preset tiers of 30/50/100/500 (in tens of thousands) plus a custom option: it first produces a direction-level report, and after a direction is chosen, it generates an execution-level checklist. Upon entering a target, it proactively provides three pathways and a 25-minute quantified plan. Trigger terms cover four categories: technical terms, colloquial expressions, English words, and proper names (e.g., Fan Li). This article introduces its positioning, features, the general SKILL.md activation method, typical usage scenarios, and usage notes. During verification, the official page was inaccessible, so specific installation commands could not be validated.
Read Moredsh-dev-workbench: Integrating Office Follow-ups and R&D Tasks into a Unified Workbench within DeepSeek Harness
dsh-dev-workbench (Smart Workbench) is a client plugin for DeepSeek Harness maintained by LongerWu2026. It integrates an AI assistant, Yunzhijia message follow-up, Linky development tasks, multi-AI conversations, knowledge space, and a development toolbox into a single sidebar. Based on the official README, this article describes npm and tgz installation (example version 0.4.2), first-use steps, the capabilities of each module, as well as data directories, permission boundaries, and upgrade and reload considerations, enabling one-stop handling of office and R&D contexts within the DSH host.
Read MorePDF Assistant: A PDF Processing Skill Covering Text, Tables, Scanned Images, and Multi-Document Comparison
PDF Reading Assistant v2.0.0 (`@indiv-guipi/pdf-reader-assistant`) is a community-maintained, general-purpose Agent Skill available in SKILL.md format. Classified under "office-efficiency," it carries the tag `requires_api_key=false`. This tool consolidates text extraction, table extraction, OCR recognition for scanned documents, intelligent Q&A, multi-document comparison, and batch processing into a single interface. It is invoked via trigger words such as "PDF," "read PDF," "analyze PDF," "PDF summary," "extract PDF," "research report," "thesis," and "document analysis." Since no installation commands or reproducible official examples are provided in the documentation, this article presents the verified information as-is and recommends testing metrics—such as table extraction, OCR accuracy, and batch processing limits—on a small sample of documents beforehand.
Read Moredsh-wb400-guard: Fixing WorkBuddy domestic gateway 400 / code 11128 at the fetch layer
This article introduces the community DSH plugin, *dsh-wb400-guard*. It functions at the `globalThis.fetch` layer to neutralize the `system/assistant` fingerprints of requests sent to `copilot.tencent.com`, thereby resolving issues related to "request interception" and gateway error code 11128. The article covers the four trigger sources, rewriting rules, the installation command (`dsh plugin --profile web add github:curo22/dsh-wb400-guard`), restart confirmation, and the `cordis.patch.yml` configuration options, while also outlining applicable scenarios and security precautions.
Read MoreLisp Programming Assistant: Automatically Running AutoLISP in CAD for Preliminary Tests
The Lisp Programming Assistant is an AutoLISP development assistant from the SkillHub community, categorized under dev-programming (version 2.0.1). It interfaces with CAD to automatically execute LISP code for preliminary testing, requiring the配合 (coordination) of the tmagent-cad plugin. When errors occur, users should first examine the specific segment identified in the "segmented source text"; adding `stack=true` retrieves line numbers and call stacks when necessary. It also supports on-demand invocation of TmAgent tools to inspect graphic entities, build test environments, and perform read-back verification. Trigger words include "write lisp," "AutoLISP," "lsp," and "code." The article outlines its positioning, core capabilities, prerequisites, typical usage, applicable scenarios, and precautions, providing the official URL.
Read Moredsh-daily-schedule: A Day of Its Own for the Companion Character
dsh-daily-schedule is a DeepSeek Harness workflow plugin that generates a full-day schedule for the next day for a character each night using the configured model. It injects date, current activity, attire, and speaking style in half-hour slots. It supports schedule_view/adjust and the /life session switch. It can optionally integrate with dsh-image-studio to match outfits and scenes. This article describes the capabilities, installation commands, and typical usage. Data is stored in DSH_HOME\daily-schedule.
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