Full-Process Writing of Grounded Theory Qualitative Research Papers: Linking the Qualitative Thesis Workflow through 10 Stages

This tool facilitates the full-process writing of Grounded Theory qualitative research papers (Coordinate: @user_78e88a4b/afp-grounded-theory-paper-writer). Maintained by community publisher user_78e88a4b (Version 1.0.3, Category: content-creation), it shows a SkillHub rating of 100,000 with 1,311 downloads and 0 installations. It is designed for researchers conducting Grounded Theory qualitative studies who need to complete a full academic paper from topic selection to final draft. It covers 10 standardized stages: topic diagnosis, literature review, research design, open coding, axial coding, selective coding, introduction and review, research methodology, findings and discussion, and blind peer review simulation. Anti-drift mechanisms include dual-core roles (methodological coding expert + academic reviewer), 9 red-line constants, an If-Then algorithm engine, and a comprehensive dashboard, aiming to produce qualitative research papers that meet SSCI/CSSCI publication standards. As the official address retrieval failed, the installation command could not be verified, and the tag indicates `requires_api_key=false`. It is suitable for researchers who have completed interviews and are ready for coding, or those who wish to break down the writing process into inspectable stages. Given that the source is an individual community publisher with zero installations, users must independently assess its methodological reliability, and it cannot replace the researcher's own coding decisions and judgment.

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News Brief: Jianshi AI Streamlines the Production of News Briefs

"News Briefing | Jianshi AI" is a community Skill on SkillHub (coordinate: @user_fccf428b/sales-newsletter, version 1.0.0, categorized as business-ops). Centering on news briefings, it provides concrete execution methods covering four aspects: user requirements, solution design, prioritization, and validation & iteration. It does not require an API Key. The article introduces its core information, functional breakdown, installation and activation precautions, and applicable scenarios. It also reminds users that this Skill offers methodological guidance, has 0 installations currently, and its effectiveness needs to be verified independently.

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dsha-to-dshgo: Migrating DSHA One-click Backup Sessions to dsh-Go

dsha-to-dshgo is a DSH bundle plugin for dsh-Go that parses one-click DSHA v5 backups locally on the device and writes them to an independent workspace. It preserves message bodies, tool history, presets, and timelines to enable continued conversations, requiring no APK modifications or root access. Sensitive configurations are strictly validated but not migrated. The plugin provides a native "DSHA Migration" panel and G6 snapshot/rollback mechanisms; available as the npm package dsha-to-dshgo 0.1.4 (engine >=0.2.1-rc.4), licensed under MIT.

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Annual Wuyun Liuqi Forecast: Skill for Generating Year-based TCM Yunqi Analysis Reports

This article introduces the paid Skill on SkillHub titled “Five Movements and Six Climates Annual Fortune” (@org-gfrg4dba/wuyunliuqi, v1.0.0, published by Shanghai Entropy Sea Navigation Technology Co., Ltd., category: life-service). Based on the Five Movements (Wu Yun) and Six Climates (Liu Qi) theory from the Huangdi Neijing, the Skill takes a year and an optional constitution type as inputs and outputs a structured annual health and fortune report. The report includes calculations of the Heavenly Stems and Earthly Branches; analysis of the properties of the Five Movements (Wood, Fire, Earth, Metal, Water); predictions of changes in the Six Climates (Wind, Cold, Summer Heat, Dampness, Dryness, Fire); an assessment combining movements and climates; a 0–100 annual health fortune score; analysis of the influences of the Five Movements; risk assessment of the Six Climates; and wellness guidance (annual conditioning, seasonal prevention, diet and daily routine). The official description states that it generates results in 3–5 seconds. It is priced at ¥4.99 and supports the years 2024–2028. The article explains its functionality, inputs and outputs, pricing and how to obtain it, and notes that it is for reference only and does not replace medical diagnosis. It also points out that the provided material does not include installation commands or configuration instructions, and users should refer to the official page for details.

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Runtime Self-Learning Harness: DSH Local Self-Learning and Long-Term Memory

Runtime Self-Learning Harness (v6.2.8) is a DSH native bundle maintained by 326sun. It performs local observation correction and workflow, organizes preferences and error experience into auditable and traceable hierarchical memories, and injects prompts at agent/pre-step according to project and Token budgets. It supports CJK local retrieval, versioned backup import, and skill verification promotion. It requires Node.js 24.9+ and dsh >=0.1.0-rc.6 <0.3.0, and is installed via dsh plugin add.

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Juchao Stock Data: Directly fetching A-share periodic reports and announcements from Cninfo

CNinfo Stock Data is a SkillHub community skill located at @user_cb7e172f/cninfo-stock-data (Version 1.0.0, Category: data-analysis). It encapsulates official interfaces from the CNinfo website (cninfo.com.cn): `topSearch/query` parses 6-digit stock codes into `orgId` and sectors; `hisAnnouncement/query` (token=fulltext) retrieves lists of periodic reports and announcements; and the Individual Stock Page #research Tab (tabName=relation) fetches communication minutes and research records. It also supports downloading original PDF documents. No login, cookies, or API keys are required. Pagination automatically scrolls to the end, with a default text table output and JSON output available via the `--json` flag. Trigger words include "pull annual reports," "quarterly reports," "communication minutes," "investor relations activity records," and "company announcements." Installation commands are not provided in the materials; please refer to the official page. The page displays a rating of 100,000, 1,240 downloads, and 0 installations. It only covers A-share individual stocks.

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dsh-nx: Determining the Successful Execution of Siemens NX Journals via Agent Judgment

dsh-nx is a workflow plugin for DeepSeek Harness provided by 27painter. On Windows, it drives Siemens NX 2406, 2506, and 12 via a sidecar and internal NX bridging. Unlike approaches relying solely on run_journal.exe exit codes, run-journal determines if the run meets expectations based on logs, terminating the process tree upon timeout and returning a JSON reason; probe.py scans local NX installations and interpreters. Installation and usage involve `npm install -g .` and `dsh-nx install/doctor`, with a `quickcheck` available to verify NXOpen geometry. The plugin provides 16 modeling and export MCP tools, excluding Drafting; profile integration requires link mounting and dsh-mcp-client. MIT 1.2.1, Node >=20.

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Star Map Boot (dsh-star-boot): DSH Startup Full-screen Intro

dsh-star-boot is a full-screen opening animation plugin displayed when DeepSeek Harness launches: featuring stardust, the name, and a status card, which dissolve into the conversation interface after the user confirms access. Assets, color schemes, fonts, and positioning can be adjusted in the settings or the same-origin control page. Installation is primarily performed via the Release zip and 安装.cmd, or by manually modifying the bundle and link dependencies in the profile package.json; there is no dsh plugin add command. It is suitable for personalized first-screen experiences; note that Windows scripts, asset licensing considerations, and the fact that the host only loads after a DSH restart should be taken into account.

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Low Voltage Contract Expert: Contract Drafting, Review, and Risk Analysis for Intelligent Low Voltage Engineering

"Weak-Current Contract Expert" is a contract-focused Skill for weak-current intelligent engineering, published by community developer user_7a5540f4. Version 1.0.0, categorized under business-ops, it has a rating of 100000 and 1218 downloads. It prioritizes connection to the IMA knowledge base "Weak-Current Intelligent AI" (ID: 7383010441698671) to retrieve contract templates, standard clauses, national standard specifications, and settlement references. When the knowledge base yields no results, it invokes internet search to supplement market trends and legal regulations. It supports generation of construction, equipment procurement, maintenance, design consulting, and labor subcontracting contracts. It also allows uploading .docx/.pdf/.txt/.md/.doc contracts for review, clause revision, and saving to the local working directory, while providing clause risk analysis, variation instruction pricing, contract amount estimation, and contract archiving management. This article introduces its features, trigger word usage, and integration considerations.

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WeChat Official Account Article Parser: Distilling Long-form Content into Key Points

# Introduction The common workflow for processing WeChat Official Account articles involves manually opening the link, reading the full text, and handwriting a summary, or pasting the entire page into a general chatbot for summarization. The former is time-consuming, while the latter is often disrupted by formatting and advertisements, resulting in inconsistent summary quality. The Skill introduced below standardizes this step: upon receiving a link to a WeChat article, it directly parses the body text and extracts core points and actionable insights. # What is this? A WeChat Official Account article parser located at `@org-eyw2ohcx/oldjie-wechat-article-parser-oldjie-100` (Version 1.0.0), published by RealQ. It is categorized under knowledge-management and sourced from enterprise. It is designed for scenarios where "a user sends a WeChat Official Account link,

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Procurement Assistant: An Agent Skill Covering the Full Procurement Lifecycle

Procurement-elf is a community Agent Skill published on SkillHub, located at @user_7f2d3808/procurement-elf. Currently at version 1.0.0 and categorized under dev-programming, it requires no API Key. Designed for general procurement scenarios across various industries, it integrates pre-procurement, procurement, and post-procurement phases into a single Skill, allowing Agents to invoke functions according to workflow. Verified features include: purchase requisition approval, budget control, tendering and sourcing, sample management, primary and backup suppliers, logistics tracking, quality inspection, warehousing, returns and exchanges, reconciliation and payment, usage feedback, expediting reminders, ABC classification, supplier KPIs, risk management, and price trends. The SkillHub page displays a rating of 100,000, with 1,203 cumulative downloads and 0 installations; these figures are recorded solely to reflect distribution status. As no verified installation commands, directory paths, or configuration fields were provided in the source material, no installation steps have been fabricated in this text. Readers are advised to refer to the official page before deciding whether to adopt the skill.

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Academic Literature Search: An OpenAlex-Based Literature Retrieval Skill

**Academic Paper Search** (@indiv-qf/qf-paper-search, v2.7.0) is a professional-category Skill from the SkillHub community. It searches papers by keyword across OpenAlex's 250-million-plus literature database, or retrieves details for a single paper by DOI / OpenAlex ID (authors, citation count, abstract, open access link); when OpenAlex returns a 429 rate-limit response, it automatically falls back to Semantic Scholar. The official description states that it is free and requires no API key, and the Skill is tagged with requires_api_key=false. However, the SkillHub page's data indicates pay-as-you-go billing via Alipay AI at ¥0.20 per call, so there is a discrepancy between the two statements, and the official page should be taken as authoritative. The materials already retrieved do not include the official installation command or request format, so this article states this fact as-is and defers to the official page, with no fabrication.

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dsh-memory: Customizable Structure DSH Cross-Session Memory

dsh-memory (@huai_xin/dsh-memory) is a memory plugin for DeepSeek Harness. It organizes Global/Workspace memories using a YAML heading tree and injects the entire document into the prompt; the model reads and writes via tools with multi-session synchronization. It includes daily logs and Markdown presets with replaceable Harness identity. Based on the official README, this article covers installation (npm + cordis.patch.yml), the configuration directory, panel usage, the memory file format, and design trade-offs such as the decision not to perform automatic recall. It also outlines applicable scenarios and security considerations.

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Knowledge Graph: Transforming Unstructured Text into an Interconnected and Inferable Entity-Relation Graph

Knowledge Graph skill for enterprise knowledge management. Publisher: Kunlun Growth. Coordinate: @kunlungrowth/kunlun-zhishitupu. Version 1.1.0. Category: knowledge-management. Source: enterprise. Tags: requires_api_key=false. It extracts unstructured text into entity-relationship graphs for retrieval, recommendation, and decision support, enabling knowledge to be associable and inferable. This article first outlines the pain points: keyword search only retrieves matching passages without capturing inter-entity relationships, and manual re-reading is costly and non-reproducible. It then explains the skill’s positioning and verified capability boundaries, confirming only the core workflow of entity-relationship extraction, graph retrieval, and reasoning—without speculating on extraction methods, storage formats, or query interfaces. For installation and enablement, the gathered materials do not provide installation commands, directories, or configuration fields. Only the skill coordinate, no API key requirement, and version number are confirmed, so these details are left blank, with a link to the official page for verification to avoid providing unverified commands. Typical use cases only list directions consistent with the brief, without reproducible calling examples. Applicable scenarios cover enterprise knowledge management, internal retrieval, intelligent customer service, and ticket assistance. Key notes include unknown extraction quality and text length limits, undocumented update and conflict handling, and few publicly verified cases (page data: rating 100000, downloads 1230, installations 0). It concludes by reviewing the value and providing the official link.

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dsh-app-updater: One-click Detection and Silent Updates for Local Applications in DSH

**dsh-app-updater** is a community plugin for DeepSeek Harness, maintained by 19952730389 and categorized as a networking tool. Located in **Settings → App Updates**, it scans locally installed applications. On Windows, it utilizes `winget` and read-only registry enumeration to download full official packages based on the manifest's `InstallerUrl` and perform silent installations. On macOS, it primarily relies on Homebrew casks for one-click updates and can perform read-only detection of official Sparkle/Electron versions. It supports settings such as ARM64/x64 package selection, dry-run mode, and download directories. To install, run `dsh plugin --profile web add dsh-app-updater`. It is MIT licensed.

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Real Estate Marketing Strategy Planning (6 Marketing Models): Generating a Comprehensive and Actionable Marketing Framework for Residential Properties

This article introduces the "Real Estate Marketing Strategy Planning (6 Marketing Models)" Skill released by the SkillHub community. This Skill generates a complete, actionable marketing strategy framework for residential property projects. It features six built-in marketing models: AIDA, 4P, STP, Funnel, Referral, and Holistic Marketing. It outputs seven major sections: Market Analysis, Customer Segmentation, Marketing Objectives, Marketing Milestones (Client Acquisition/Intensive Sales/Sustained Sales), Channel Strategy, Budget Allocation, and KPI Metrics. The Skill includes real estate market data for various districts in Xi'an, industry benchmark KPIs (a 15-25% visit-to-transaction conversion rate), and budget allocation references (40% online / 30% channels / 20% events / 10% materials). Default values are applied and flagged when information is incomplete. As no official installation command was found in the documentation, this article does not fabricate installation steps but simply outlines the trigger words, official address, and applicable limitations.

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dsh-memory-rules: DSH Local SQLite Long-Term Memory and Editable Collaboration Rules

147-sys's dsh-memory-rules (v3.2.0) provides DeepSeek Harness with native SQLite four-layer long-term memory, four-way RRF retrieval, and an editable system prompt rules block, merging the original memory and user-rules bundles; it includes pre-step recall, seven memory tools, belief consolidation, and a Memory & Rules web UI. See the official INSTALL.md for installation instructions (GUI, link-based installation, or profile modifications). Data is stored in ~/.dsh/memory, with zero network usage and no telemetry.

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Tencent Cloud Intelligent Digital Human: Integrating Real-Time Voice Interaction of Virtual Digital Humans into Applications

Tencent Cloud Intelligent Digital Human Interaction Drive Skill, located at @user_103c30c8/digitalhuman, published in the SkillHub community, version 1.0.3, category design-media. The skill consolidates the pipeline for real-time voice conversations with digital humans driven by text or audio into a directly triggerable capability, covering session management, RTMP/TRTC/WebRTC streaming protocols, WebSocket interaction driving, and H5 players. It is suitable for developers who need to integrate digital human broadcasting, live streaming, customer service, or interactive guides into their applications. Note that it carries the requires_api_key tag, so you need to prepare your own Tencent Cloud API Key. The source is community, and it is recommended to test before integrating into a production environment.

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dsh-persona-gateway: OpenAI-Compatible API Gateway with Persona and Long-term Memory

dsh-persona-gateway is a workflow plugin for DSH 0.2.0+ that provides OpenAI/Anthropic-compatible endpoints locally, centralizing persona (persona.md) and long-term memory (memory.jsonl) in ~/.dsh/persona/. Clients can simply switch to the panel-generated sk-l2 secondary key and gateway address to share state across AstrBot, IDE plugins, and more. Based on the official README, this article covers installation commands, quick start, gateway configuration, memory mechanisms, Anthropic client integration, as well as privacy and known limitations.

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dsh-pdf-3d-pipeline: Engineering Drawing PDF to SolidWorks Part Pipeline with Gates

dsh-pdf-3d-pipeline is a Windows-to-DSH plugin bundle (v0.2.0, MIT) published by maintainer 1123443202. Its skill name is pdf-to-3d-pipeline, and its CLI is pdf3d. It converts 2D engineering drawing PDFs—via annotation contracts, DWG/DXF, and segmented extrusion—into SLDPRT/STEP, and inserts GATE/STOP checkpoints across eight stages in run.ps1 to reject defective deliveries such as counterbore face errors and through/blind hole confusion. The article describes the bundle’s composition, registration via install.ps1, a typical run.ps1 command chain, and the prerequisites for AutoCAD/SolidWorks, and it scopes the tool to single-view plate-type parts.

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dsh-subagent-model-notes: Adding per-model notes to Subagent routing

The official DSH Subagent settings only provide a provider/model whitelist and `list_subagent_models`, lacking per-model selection guidance. The community plugin dsh-subagent-model-notes (097794, workflow) adds a "Subagent model notes" tab next to the Subagent settings to store volatile notes. It also injects descriptions regarding available routing options for the current session into the delegating party's system prompt during the system-prompt/assemble phase. Installation is performed as a local profile bundle (via the Plugins page or `install_bundle`) and requires DSH 0.2.1-rc.x and the plugin system. These notes serve as guidance only; the whitelist is still enforced by the official Subagent settings.

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Review of Departmental Responsibilities and Job Descriptions: A Standardized Process from Function Decomposition to Job Description Formulation

Overview of the Skill "Organizing Department Responsibilities and Job Descriptions", released by Ant HR (Ant Human Resources services), with source: enterprise, category: business-ops. It breaks department responsibility mapping into three steps—functional decomposition of the department, job role definition, and writing standardized job descriptions—and supports natural language input or file uploads; when dynamic/current baseline parameters are missing, it prompts for verification. The article outlines applicable scenarios, notes, and the official URL, and does not fabricate installation commands or template details.

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Long-Term Value Investment Decision System V4: Six-Layer Scoring, One-Vote Veto, and 10-Year IRR Projection

This Skill employs a six-layer scoring system based on the Buffett/Munger philosophy (Business Model, Moat, Financial Dynamics/ROIC, Capital Allocation, IRR Forecasting, and Uncertainty Discount), combined with a veto mechanism. It leverages cloud computing to generate a standardized decision matrix and projected 10-year IRRs, enabling cross-comparison of A-share, Hong Kong stock, and US stock targets. Calculations are processed via a paid cloud API; the tag `requires_api_key=false` indicates that no user-provided external key is required. As the official page was inaccessible during this session, please refer to official sources for installation commands, configuration details, and pricing.

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dsh-mcp-manager: Manage MCP Servers in the DSH Web Interface

dsh-mcp-manager is a DSH workflow plugin maintained by 097794. It allows users to list, create, delete, modify, and test MCP servers within Settings and Composer, as well as toggle tool and prompt segments on or off per session. Each server is mounted as @deepseek-ai/dsh-mcp-client, with behavior consistent with hand-written MCP entries in profiles. Installation requires DSH 0.2.1-rc.x and a local directory bundle, rather than a one-click "add" command from GitHub. It is suitable for scenarios involving frequent MCP debugging; stdio runs with harness privileges, and sessions are not treated as security boundaries.

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wecom-unified: An Integrated Skill for Bringing WeCom into the CLI

wecom-unified (coordinate @user_87fe1a85/gwchen09, v1.0.0, community source, office-efficiency category) is a comprehensive CLI skill for WeCom, covering six business domains: contacts, messages, documents, schedules, meetings, and to-dos. It supports finding contacts by name/alias, sending and receiving text/image/file/voice/video messages, creating, reading, and editing documents in Markdown, managing smart table structures and records, creating smart documents and exporting them to Markdown, creating, modifying, and canceling schedules with availability queries, meeting reservation management, and creating, tracking, and assigning to-dos. It is officially configured to trigger whenever scenarios involving messages, schedules, or to-dos arise, even if the user does not mention WeCom. The article outlines its positioning, capability boundaries, installation entry points, and typical usage, and notes that the skill is community-produced, its ratings and download counts could not be verified due to failed official page scraping, and it is permission-sensitive, requiring validation in a test environment.

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