Sales Weekly Summary | Guo Yiyi: Integrating Individual Weekly Reports and CRM Exports into a Team Business Dashboard
# Introduction The traditional approach to the tedious task of compiling weekly reports typically involves sales managers urging team members for reports in group chats. Once collected, the manager opens each report, manually transcribes data into Excel, cross-references it with the CRM, and finally piece together the team's progress, risks, and plans for the following week. Inconsistent formatting is the norm, and missing reports or discrepancies in metrics must be identified manually. Consequently, compiling a single team weekly report often takes one to two hours. The "Sales Weekly Report Compilation | Guo Yi Yi" Skill introduced below delegates this step to an AI model. By feeding it three types of source materials—individual weekly reports, CRM exports, and goal progress—it directly generates team progress, risks, forecasts, and action lists. # What is This **One-sentence positioning:** A summarization and analysis Skill designed for sales business scenarios; it takes scattered sales materials as input and outputs structured team weekly report content. **Basic information is as follows:** ``
Read MoreBusiness Management Expert Skill Matrix: Transforming Classic Management Methodologies into Callable Skill Modules
Released by Monster Digital Technology, the "Commercial Management Master Expert Skill Matrix" transforms the methodologies of masters such as Peter Drucker, Jim Collins, Clayton Christensen, Michael Porter, and Charlie Munger into nine independent, loosely coupled, and programmable skill modules. Each module accepts structured business inputs and generates diagnostic conclusions and actionable recommendations based on corresponding theoretical frameworks. Serving as a unified entry point, the M09 "Strategic Advisor Expert" routes and orchestrates the other modules to facilitate end-to-end business diagnostics. This article introduces the matrix's positioning, core functions, installation access, typical invocation workflows, and use cases.
Read MorePerformance Data Dashboard Generator: Organizing Performance Data into Four Panels
The Performance Data Dashboard Generator (@user_fa14b5bc/performance-dashboard-generator), published by user_fa14b5bc (Version 1.0.1, Category: data-analysis, Source: community, Tag: requires_api_key=false), transforms data from performance management modules into four fixed panels: Overview Cards, Department Comparison, Trend Board, and Anomaly Alerts. It can optionally generate self-contained HTML files that do not rely on external resources. This article outlines its positioning, verified capability boundaries, installation methods that require independent verification before enablement, and three key points to confirm before invocation. It also details four limitations: fixed panel templates, no responsibility for defining calculation criteria or anomaly thresholds, potential changes to interfaces in early community releases, and discrepancies between scraped data and leads regarding scores and download counts (Page: 100000 points/913 downloads vs. Lead: 99427 points/848 downloads, subject to the official page). It is suitable for teams that require regular performance reporting to management and possess organized data with non-standard presentation formats. Official URL: https://api.skillhub.cn/user_fa14b5bc/performance-dashboard-generator.
Read MoreCommunity Operations | New User Conversion & Dead Group Revitalization: The Admin's Playbook
An operations Skill designed for WeChat group owners, which first conducts a health check on the group before prescribing solutions. Core capabilities include: Six-signal health check (daily active speaker ratio, number of proactive questions, @ response rate, group exit rate, red packet dependency, response delay—all compared against the group's own baseline) Seven signs of dead group determination (three signs trigger rescue protocol, five signs trigger dignified exit plan) Five-stage assessment (ice-breaking/value/interaction/conversion/maintenance, with entry signals for each stage, no skipping allowed) Three signals for conversion window (push conversion only when two signals are matched) 14-day action plan (daily actions + objectives + judgment criteria + backup plans) Seven types of script templates (each with three tone levels) Chat log assessment engine (imports WeChat-exported chat records, outputs reports and radar charts) SkillHub category: business-ops, rating 99427, 868 downloads. Trigger words: community operations, group operations, how to rescue dead groups, community SOP, village chief Lao Xie, etc.
Read MoreAutomatic File Classification: A Skill to Organize Folders by Extension
File Auto Classification is a community Skill maintained by user_604894b1. Version 1.0.0 and categorized as office-efficiency, it follows the general SKILL.md format. It automatically sorts files in a directory into different subfolders based on file extensions, supporting preview mode, custom rules, and organization reports. It is ideal for tidying up mixed directories like Downloads and Desktop. It does not require an API Key (requires_api_key=false). Trigger scenarios include organizing files, sorting files, cleaning up folders, classifying files by type, organizing files, tidying the desktop, and organizing the Downloads folder. Usage recommendations: First, preview and verify the classification results, then execute the actual move, and finally review the organization report. Please note that classification is based on file extensions rather than content. This is version 1.0.0 and is of community origin. The official page is https://www.skillhub.cn/skills/user_604894b1/auto-file-classifier
Read MoreSocial Media Content Creation and Publishing Assistant: Create Once, Distribute Multi-Platform
Social Media Content Creation & Publishing Assistant is a community-sourced Agent Skill located at @user_b50eba52/social-media-poster-by-org-xu3xq4ne, currently at version 1.0.0, categorized under SkillHub as content-creation. It targets the pain point of distributing the same material across multiple platforms, supporting synchronized publishing to Toutiao, Baijiahao, Sohu, Dayu, and Penguin among others. It automatically generates content customized to each platform’s style, eliminating the need for repeatedly pasting the same article and manual uploads on every platform. Labels indicate requires_api_key=true; an API key must be prepared before enabling. The publisher page reports a score of 100000, 904 downloads, and 0 installs. The zero install count indicates very few real-world deployments, so it is advisable to verify independently before integrating.
Read MoreTikTok Product Selection, Trends, Competitor, and Content Insights [Official Gecho]: Asynchronous TikTok Insight Task Execution via MCP
## Gecho's Official Agent Skill (Coordinate @gecho/gecho-tiktok-insight, Version 1.1.38, Publisher: Wuzhong Technology) This skill initiates four types of asynchronous TikTok insight tasks—products, trends, competitors, and content—via Gecho Bridge MCP, and queries task status. There are three prerequisites: 1. Install the Gecho Chrome Extension; 2. Maintain a valid TikTok login session; 3. Configure the Gecho Bridge MCP service. The SkillHub page tag is `requires_api_key=false`, meaning no separate API Key application is required; authentication relies on the login session. Tasks are executed asynchronously; after initiation, you must poll the task status to retrieve the results. The captured official documentation does not provide specific client installation commands or MCP service addresses; you need to open the official page to verify this information before enabling. This skill is suitable for scenarios requiring periodic execution by an Agent, such as cross-border e-commerce product selection research, TikTok trend tracking, and competitor content analysis.
Read More**Sales Script Playbook: Package the Key Steps of the Sales Process into Ready-to-Call Skills**
This article introduces the community Skill “Sales Playbook” on SkillHub (@user_d8831e99/sales-playbook, version 1.0.0, category business-ops, no API key required). It codifies key stages of the sales process into reusable instructions: a value-based pricing framework, pre-call briefings, sales call analysis, and tiered proposal packages, and covers deal qualification, objection handling, a pricing calculator, follow-up sequences, and pipeline management. The article outlines its positioning, a verified list of capabilities, the current status of installation and activation (official materials do not provide an install command, so users need to verify on the page themselves), as well as typical usage and applicable scenarios. It also notes that the provided data contains inconsistencies between ratings and download counts. It is suitable for teams looking to use models to standardize pre-sales, quoting, and follow-up processes.
Read Moredsh-plugin-typo-check: Only check and highlight typos in the DSH input box
Adds a "Typo Check" button to the DSH input box: submits drafts to a self-configured OpenAI-compatible API to identify various typos and spelling errors, highlighting them in yellow. A floating card allows item-by-item replacement without offering text polishing. It supports sequential fallback for multiple sources, configurable system prompts per line, max_tokens, and thinking modes; API keys are stored locally in settings.json. To install, enter `github:kviiinh/dsh-plugin-typo-check` on the DSH desktop plugin page. Please restart DSH after making changes to the host.
Read MoreCivil Service Exam Interview Simulator: Chapter-based Practice Generation with Analysis and Local Error Log
A practice-assist Skill for civil service interview preparation, maintained by community publisher user_af163eaa. Version 1.0.1, categorized under education, with no API key required. It generates exercises by chapter, question type, and difficulty; each question includes an answer and explanation, and incorrectly answered questions can be recorded in a local error bank for repeated consolidation. The questions are AI-generated based on general exam syllabuses, and the official description explicitly states it is not an exam prediction tool and is not officially affiliated. The article introduces its positioning, four verifiable capabilities, the coordinate-based activation method (as specific installation commands were not provided in the source material, none are fabricated), and a reproducible usage flow based on the introduction. It is suitable for interview candidates who need structured self-practice. Users should note that questions are AI-generated, the quality of explanations depends on the model, the error bank is stored locally, the displayed installation count is 0, and issues must be troubleshooted independently.
Read MoreOntology-Driven Application Builder: Turning Business Requirements into Runnable Domain Applications
The ontology-driven application builder (ontology-app-builder) is a general-purpose community-produced skill, coordinated at @user_81d33501/ontology-app-builder, version 1.0.0, categorized under dev-programming, and requires no API Key. Given a business requirement or requirements document as input, it operates via a three-stage pipeline: first, it performs requirements exploration through a nine-stage structured dialogue and produces a requirements specification document; next, it generates an eleven-model (M1–M7 + ME + MU + MM + MI) ontology in YAML and JSON, and automatically produces an ECharts-embedded knowledge graph HTML; finally, it delivers a self-contained domain skill with a built-in zero-dependency runtime engine (only the Python standard library + SQLite), which automatically creates the database, provides a REST API, a standalone HTML entry form, conversational natural-language queries, and foreign-key ID-to-name resolution. It is suitable for personal or small-team business systems such as contract management, CRM, and purchase-sales-inventory management. This article introduces its positioning, capabilities, installation and activation methods, typical usage, and applicable limitations.
Read Moredsh-shared-kb: Team Shared Knowledge Base with One Hub and One Invite Code
dsh-shared-kb is a DSH memory plugin: administrators launch a zero-dependency Hub by running `node hub.js` locally, and members install the plugin and paste an skb invite code to upload, search, and compose documents. Materials are organized according to the ten inbox-triage categories, and it provides a toolchain such as skb_recall/search/read, pinning of important materials, private repositories, favorites, and version comparison. It can be installed via `github:kunjienie50-creator/dsh-shared-kb` or the tgz provided by the Hub; requires DSH ≥ 0.2.0 and Node ≥ 20; v0.3.0 MIT.
Read MoreEnrollment WeChat Moments Copy | Guo Yiyi: Converting Course Facts into Multi-Scenario Moments Copy
This article introduces the community Skill on SkillHub: "招生朋友圈文案｜郭亿易" (Enrollment Moments Copywriting | Guo Yiyi) (Version 1.0.0, Category: content-creation, Tag: requires_api_key=false). Designed for education training enrollment and course consultants, it accepts inputs such as course facts, target audiences, and real cases to generate multi-scenario WeChat Moments copy and consultation guidance, reducing the drafting effort for consultants for every post. The article outlines its positioning and capability boundaries, activation methods (since official documentation does not provide installation commands or configuration items, it must be added following the platform's page instructions), a typical usage framework, as well as applicable scenarios and precautions: input quality determines output quality, manual selection is required for multi-scenario outputs, and student cases or effect descriptions must be reviewed for institutional compliance before publishing. Official URL: https://api.skillhub.cn/user_8d36cde0/guoyiyi-education-enrollment-copy
Read Morehermes-libtv-skill-v1.1.0: Integrating LibTV Generation and Editing Capabilities into the Infinite Canvas
hermes-libtv-skill-v1.1.0 is a design-media Skill published by user_7850d9d3 in the SkillHub community. It leverages AI capabilities from LibTV (liblib.tv) to generate and edit images/videos on an infinite canvas, supporting text-to-image, text-to-video, and reference-based creation. The page tag indicates requires_api_key=true, meaning usage relies on an API Key. The page displays version 1.0.0, a score of 100000, 966 downloads, and 0 installations. The retrieved materials do not provide official installation commands, configuration file fields, or reproducible examples. This article only verifies coordinates, official addresses, and capability scope; it does not supply missing commands or cover differences across Cursor, Codex CLI, or Claude Code.
Read MoreImage Content Review: Integrating Porn, Political, and Violence/Terrorism Detection into a Single Workflow
Introducing the Community Skill @user_26f7b237/image-audit (version 1.3.1, classified under ai-agent). It standardizes image content safety checks into a single workflow: images are first compressed to 500px in JPEG format, then directly uploaded to the NX API for moderation, and finally a summary table is generated to report the classification results for each image across three categories: pornography detection, political sensitivity, and violence/terrorism. The article outlines the problems it addresses (scattered results from batch image reviews, varied input requirements across different APIs, and the need for manual tabulation), its core capabilities, prerequisites for enablement (tagged requires_api_key=true, requiring users to prepare an API key), the general usage involving loading coordinates specified in SKILL.md, and its limitations: compression may cause detail loss, it only covers images and excludes text, audio, or video content, accuracy depends on the upstream moderation service, and as a community-sourced tool with zero installs, it should be tested with images of known outcomes before deployment.
Read Moredsh-pomodoro-timer: A persistent Pomodoro timer below the Harness input box
Maintained by Kseleven, the DeepSeek Harness client plugin dsh-pomodoro-timer (package name: dsh-pomodoro-card) provides focus, short break, and long break circular countdown timers, daily statistics, and restoration via localStorage refresh within the `conversation.composer.dock`. Installation is performed via `plugin_manager install_bundle` or through the interface by selecting "Install from local directory". Licensed under MIT, it is a pure client-side plugin that requires no build step.
Read MoreDimension Table Smart Integration Project Management: Entrusting Business Resource Configuration and Troubleshooting to Skill
During the rollout of the Dimensional Table Intelligent Connectivity project, the creation and troubleshooting of resources such as Keys, teams, projects, tables, rich-text fields, JSON fields, permissions, workflows, reports, and canvases are often scattered across different places; digging through the backend is time-consuming and prone to omissions. This article introduces an enterprise-type Skill on SkillHub, “Dimensional Table Intelligent Connectivity Project Management” (@org-gpgr8p77/dimens-manage, version 2.0.2, published by Jiangxi Ruiyun Yunshu Computing Technology Co., Ltd., category: business-ops, tag requires_api_key=false, publicly rated 100000 on the page, with 890 downloads), and explains its positioning and the boundary of resources it covers. The materials do not provide installation commands, directory paths, or parameter examples; the article therefore states, in an accurate manner, the access entry points, and provides a four-step troubleshooting sequence advancing by (1) resource ownership, (2) field structure, (3) permissions and workflows, and (4) downstream impact, as well as the operational sequence for creation-related needs. It also highlights precautions such as the enterprise source, the requirement to confirm ownership and scope of impact before performing write operations, and that keys must not be displayed in plaintext.
Read Moredsh-result-check: Verify the final answer using tool output before the turn ends
dsh-result-check is a DeepSeek Harness workflow plugin maintained by KrimsonSun (0.2.0, MIT). During pure code verification before the end of a turn, it checks for unreported tool failures and unsourced numbers in the conversation, and if necessary, sends the model back once for correction. It suits scenarios such as analysis and monitoring that rely on data returned by tools. Install it via `dsh plugin add` with a local directory or `github:KrimsonSun/dsh-result-check#commit`; configuration is written in `cordis.patch.yml`. The plugin runs with the permissions of the current dsh process; review the source code and license before installation.
Read MoreWeiyun Cloud Drive MCP Skill: Integrating Weiyun File Operations into Agents
The Weiyun Drive MCP skill is a community skill based on the universal SKILL.md format, maintained by user_313caaeb at @user_313caaeb/weiyun-drive, version 1.0.5, categorized under ai-agent. It provides usage guides for 12 MCP Tools—weiyun.list, weiyun.list_by_category, weiyun.download, weiyun.delete, weiyun.upload, weiyun.gen_share_link, weiyun.rename_file, weiyun.rename_dir, weiyun.create_dir, weiyun.move_dir, weiyun.move_file, and check_skill_update—along with a SHA1 chunk calculation script required by the FTN upload protocol, used to compute block_sha_list before uploading. The skill is triggered when users mention Weiyun upload, MCP upload, block_sha_list calculation, FTN upload, Weiyun file management, or any of the Tool names listed above. The skill is tagged with requires_api_key=true, meaning an API Key is required for use; specific configuration fields and installation commands should follow the official page.
Read MoreBank Statement Analysis: Organizing Transaction Data into Fund Flows and Exception Lists
This article introduces the community Skill "Bank Flow Analyzer" (Banking Transaction Analysis) (@user_f1076f6a/bank-flow-analyzer-v6) on SkillHub. Designed for banking transaction processing scenarios, it supports multi-format data import, intelligent data cleansing, fund flow tracking, an account relationship graph, anomaly detection, a custom rules engine, and the export of visual reports, without requiring an API key. The article describes the Skill's positioning, seven core capabilities, how to enable it in the client, and a typical usage workflow. It also notes that the official materials do not provide reproducible invocation examples or a rules engine configuration format, and that the installation command should be based on what is shown in the client. Suitable use cases include merging and cleansing multi-format transaction records, analyzing fund flows across multiple accounts, and delivering customized anomaly rules and reports. It is not intended for real-time stream analysis or for producing audit conclusions. As it is community-sourced, with version 1.0.0 and an install count of 0, these factors should also be evaluated in advance for sensitive-data scenarios.
Read Moredsh-retry: Add a native "Restart DeepSeek Harness" entry to the DSH Desktop
**dsh-retry** is a DSH client plugin maintained by kouzerror that brings "Restart DeepSeek Harness" functionality to the Windows desktop. Tray and account menu items are implemented as native entries via **app.asar** patching, while the "Restart & Update" button in the settings page utilizes the official slot, ensuring the restart capability persists even after DSH upgrades. All three entry points are unified via a `POST /dsh-retry/restart` request, supporting graceful relaunches and automatic helper reinstallation if patches are missing. Installation is available via the plugin marketplace or by running `pnpm add file:` in the profile directory; after enabling, users must fully exit and restart DSH, allowing the plugin to self-heal and install patches within approximately three seconds. Based on the repository's README and package.json (v0.6.1), this article outlines installation procedures, status self-checks, and important considerations.
Read MoreEnabling Agent Support for MiniMax H3 Model: Introduction to the Hailuo-03 Video Generation Skill
This article introduces the community Skill "Enable Agent to support minimaxH3 model" (Coordinate: @user_b5df6666/minimax-h3-video, v1.0.0, community source, category: ai-agent). This Skill invokes the MiniMax H3 (Hailuo-03) video generation API to transform text, image, video, and audio inputs into videos with native audio. It supports two resolution tiers (768P/2K) and durations of 4-15 seconds. It covers text-to-video, image-to-video (first frame/last frame/first and last frames), multimodal reference-to-video, 768P to 2K regeneration, and H3-Context-IR prompt enhancement, while also providing API Key configuration, model querying, and price/cost estimation. The article provides a capability list, activation methods, typical invocation workflows, and usage notes, and is marked with requires_api_key=true.
Read MoreAladdin: Hit Web Novel Creation Workbench — An Offline Web Novel Pipeline from Topic Selection to the "Golden Three Chapters"
Aladdin Web Novel Hit Creation Workbench is a community-sourced universal Skill conforming to the SKILL.md format. It enables the offline, one-click development of genre directions, keywords, or setting drafts into web novel creation schemes ready for platform submission. It covers genre and tag selection (matching the tonality of Fanqie, Qidian, Feilu, and Jinjiang), worldbuilding setting cards, character cards (protagonist/antagonist/supporting cast + relationship networks + growth arcs + satisfaction point allocation), comprehensive book outlines (volume and chapter outlines + satisfaction point distribution + chapter-end hooks), 'Golden Three Chapters' drafts, pacing diagnostics (satisfaction density/hook density/emotional curve/padding detection), platform compliance scanning (prohibited words/bad ending risks/opening deterrence), and a quality scoring gate ranging from 0-100 (Grades A-D). Compared to solutions that only generate single chapters or provide mere character frameworks, it adds three core features: genre selection, global satisfaction distribution, and dual inspection for pacing and compliance. It operates entirely locally with zero API dependency and requires no keys; it is ready to use immediately upon installation.
Read Moredsh-skill-rag: Configurable DSH Skill Discovery and Retrieval
The Kosello DSH workflow plugin dsh-skill-rag offers three modes—catalog, local SQLite keyword, and hybrid retrieval—without modifying the native skill loader. The default catalog mode upon installation requires no API keys; the optional hybrid mode supports Jetson, Google, OpenRouter, or OpenAI-compatible embeddings. Models retrieve summaries via skill_search before loading the skill, while humans can maintain the index using /skill-search. To install, run: dsh plugin --profile web add github:Kosello/dsh-skill-rag.
Read More🎬 Video Audio to Text: Generating Clean Transcripts with the Qwen LLM
This article introduces the community Skill "🎬 Video Voice to Text" (@user_fb71c45d/shipin-yuyin-zhuanhuan-wenzi, Version 1.0.0, Category: content-creation). It leverages the Qwen large language model to perform deep semantic parsing on online video links and local video files. While transcribing speech, it removes invalid content such as filler words, slips of the tongue, and repetitive lines, while also supporting customized copywriting styles. It is suitable for scenarios including short video secondary creation, meeting minutes, course analysis, livestream reviews, and interview organization. Based on the standard SKILL.md format, the skill is marked with requires_api_key=true and necessitates the configuration of a Qwen large model API key. Due to a failed capture of the official page during the writing process, installation commands and invocation parameters remain unverified; no data has been fabricated.
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