Final Manuscript Check: Six Pre-Submission Formatting Checks
Paper Final Check is a community skill on SkillHub (Coordinates: @user_580d2d1c/paper-final-check). Released by user_580d2d1c as Version 1.0.0 and categorized as "professional," it performs six types of checks on Word manuscripts prior to submission: punctuation, figure and table labeling order, heading formatting, reference citation consistency, author information, and typos/expression. Issues are highlighted with yellow shading in a duplicate of the Word file without altering the original text, and a check report detailing modification locations and comments is generated. It supports two reference standards: GB/T 7714-2025 (default) and IEEE. The skill is triggered when users mention "check paper final draft," "check paper errors," or "help me review," or upload .doc/.docx files. There are three limitations: it does not support PDF (due to inability to apply shading), does not provide writing or polishing rewrites, and is not applicable to non-paper documents. No API Key is required for use.
Read MoreData Acquisition, Resource Conversion, and Structural Processing: Organizing Unstructured Inputs into Actionable Results.
This article introduces the community skill "Data Acquisition, Resource Conversion, and Structured Processing," published by user_2fd890c9 on SkillHub (version 2.0.3, category: data-analysis, tag: requires_api_key=false). Positioned as a preprocessing/organization layer for data workflows, it converts data, files, or URLs into structured results, with support for batch processing and custom formats. The article outlines core capabilities, official links, installation and activation considerations, a typical processing workflow, applicable scenarios, and limitations. Because no verifiable installation commands or client-specific differences were provided, no installation paths or commands were fabricated.
Read MoreCustomer Success SOP: Transforming Passive Customer Service into Proactive Customer Success
"Customer Success SOP" is a Business Operations skill published by Kunlun Grow on SkillHub (Version 1.0.0). It transforms Onboarding, Health Scoring, Renewals, and QBRs into executable templates designed to shift passive customer service into proactive customer success. The article outlines its positioning, four core functions, and verifiable metadata. It notes that due to a failure in scraping the official page, installation commands and typical usage examples were not fabricated; the skill file must be obtained via specific coordinates or the official address to confirm the field structure. The page indicates `requires_api_key=false`, meaning it does not rely on external API keys. Publisher data shows 881 downloads and 0 installations, with no real user feedback available yet. It is suitable for Enterprise Services, SaaS, and B2B delivery teams looking to establish a consistent customer follow-up rhythm.
Read MoreFree Game Giveaway Aggregator: Consolidating Scattered Claims into a Single List
Game Plus Collector (@user_79a5e17b/game-plus-collector, v1.0.0, community-released, category: data-analysis) is an Agent Skill of the collection category, designed to capture current free game giveaway events. It primarily relies on IT Home's "Free Game Giveaways" topic as its main source, combined with multi-source data collection from verification sources such as the official Epic API, GameStar Sky, and SteamDB. It performs semantic timeliness evaluation on titles and body text to categorize the events into three tiers: "Currently Free", "Potentially Valid", and "Expired". It merges and deduplicates data from multiple sources and resolves discrepancies between Chinese and English names through fuzzy matching on translated names. The output is grouped by three confidence tiers: high, medium, and low, with double-source confirmation prioritized for display. It operates silently throughout the entire process and only returns the game list at the end. It supports trigger phrases such as "collect free game giveaways", "what free games are available today?", "Epic free game giveaways", and "Steam limited-time free games". The tag is requires_api_key=false. As the provided materials do not include installation commands, please refer to the official page for details.
Read MoreC Drive Cleanup & Software Relocation by Mr. Zhang'er: Fully Migrating C Drive Software and Data with Restorable Pointers
A community Skill on SkillHub, located at @user_a086188a/zhanger-software-migrate, version 2.1.1, categorized under it-ops-security. It comprehensively relocates software data, caches, and projects from the C: drive to the D: or E: drives, leaving junction pointers at the original locations. This ensures seamless software operation with no perceived changes, supports one-click restoration, and cleans zero-risk caches. Safety commitments include simulated confirmation before execution, strict whitelist enforcement, a 30-day restoration quarantine for deletions, and proactive interception of system directories, running applications, insufficient space scenarios, and UWP apps. It is designed for AppData migration and disk expansion alternatives on Windows 10+ NTFS systems.
Read MoreMulti-Dimensional Value Extraction of Books: Full-Chain Analysis and Marketing Material Generation
Multi-dimensional book value extraction is a community Skill (published by user_9abc1b19, version 1.0.2, category: knowledge-management) that requires no API key. Simply provide a book title to launch an end-to-end workflow: multi-source data aggregation; three modes of analysis (progressive, academic, and narrative); extraction of memorable quotes; and a 12-dimension selling-point matrix. The output is delivered as a McKinsey-style HTML report, supporting book analysis, quote extraction, and the generation of marketing materials. The article outlines its positioning, core capabilities, installation and activation steps, typical use cases, and limitations. It also notes that the official page failed to be crawled this time, so the exact installation command should be verified on the official page.
Read MoreDSH Initial Local Run Environment Self-Check
dsh-env-doctor is a DSH client plugin maintained by lengrufeng2008 that, entirely locally (without network access and without reading or inspecting the value of DEEPSEEK_API_KEY), checks whether Node.js ≥ 20 is present, DSH_HOME exists and is writable, the profile contains cordis.patch.yml and package.json, the sessions directory exists, and DEEPSEEK_API_KEY is configured. It supports running via `node bin/dsh-env-doctor.mjs` and providing `--json` output; within DSH, specify the profile via env_doctor. It performs no authentication probes/tests, performs no repair actions, and makes no network requests. Key presence does not guarantee validity. Licensed under MIT, version 0.1.0.
Read MoreSeverance Calculation and Negotiation Strategy Generator: Accurate Calculations, Comprehensive Proposals
An HR-oriented Skill for severance compensation and negotiation. It accepts basic employee information (name, resignation type, employment dates, monthly average wage over the past 12 months, company location, status regarding Special Protection Periods/work-related injury/medical treatment periods, and accrued but untaken annual leave days) and optional inputs (non-compete restrictions, stock options, negotiation budget) to produce a five-section plan: statutory compensation calculation (work tenure calculated precisely to the month, wage base including year-end bonuses and overtime pay, capped at three times the local average social wage, and itemized formulas for N+1, 2N, contract expiration, and voluntary resignation); negotiation package recommendations (a three-tier comparison from N+1 to N+3 with leverage analysis); a seven-point risk self-assessment (with red, yellow, and gray risk grading); negotiation scripts for three specific scenarios; and six template clauses for settlement agreements. It also includes cross-region rules for Shanghai, Beijing, and Shenzhen, exception handling, a six-category error cross-reference, four reference cards, a demo case study, and a 16-question FAQ. Sourced from the community, version 1.0.0, requires no API Key.
Read MoreInteractive Simulation-Based Physics: University Fluid Mechanics — Turning Key Concepts into Interactive Links
An Agent Skill for Fluid Mechanics designed for Civil Engineering, Hydraulic Engineering, Chemical Engineering, and Aerospace majors. Published by YimuBiao on SkillHub at @yimubiao/university-fluid-mechanics-lab. Version 1.0.2. Categorized under education. Does not require an API Key. The skill triggers when users mention knowledge points such as fluid static pressure, Pascal's principle, buoyancy and Archimedes' principle, continuity equation, Bernoulli's equation, Venturi and Pitot tube, momentum equation, laminar pipe flow, turbulence, and Reynolds number. Upon a match, it directly outputs a hyperlink to the online simulation or interactive page for that specific knowledge point, including the ?kp= parameter. If no match is found, it outputs the skill's homepage link. The skill claims to cover the entire curriculum of engineering fluid mechanics, utilizing interactive simulations to clearly explain fluid statics, Bernoulli's principle, pipe flow, and boundary layers. It also consolidates synonymous colloquial terms such as fluid mechanics, hydraulics, Bernoulli's equation, Reynolds number, and Moody diagram. The article introduces the skill's positioning, core features, metadata information (official installation commands were not provided), typical conversational usage, applicable scenarios, and precautions.
Read MoreIntelligent Office: Turning mechanical operations in Word, Excel, and PPT into commands
@indiv-kyle/auto-office (Smart Office) is a community-sourced, general-purpose Skill, version 1.0.0, category: office-efficiency. It packages routine, repetitive operations for Word/Excel/PPT into 25 mechanismized commands, covering three modules—text, spreadsheets, and presentations—and includes a built-in, windowed operations panel. It runs entirely offline and directly reads and writes files using python-docx/openpyxl/python-pptx, with no reliance on Microsoft Office or WPS, no file uploads, and no API key required. Trigger words in Chinese and English cover: document merging, table/spreadsheet merging, document splitting, batch replacement, watermarking, PDF conversion, Markdown-to-Word/PPT, CSV-to-Excel and Excel-to-CSV, SQL queries on tables, table statistics, data cleaning, chart generation, and exporting notes. During this check, both the official page and the SkillHub page failed to load; therefore, the installation command, per-command parameter examples, and ratings/download counts could not be verified online. These points are explicitly noted here, and no content has been fabricated.
Read MoreAcademic Grade-level Diagnosis and Precision Intervention Engine: Transforming Assignments and Exams into Actionable Diagnostic Reports
A diagnostic skill tailored for educational scenarios, released by community developer user_734b3090, categorized under education, version 1.0.1, marked as community-sourced and requiring no additional API Key. It accepts student responses, exam papers, or homework as input, and outputs a structured diagnostic report featuring four dimensions: error cause attribution, knowledge graph localization, ability dimension profile, and cognitive level determination. Additionally, it generates personalized intervention plans encompassing targeted exercises, learning paths, and scaffolding prompts. The trigger mechanism is keyword-driven, covering terms such as learning situation diagnosis, error cause analysis, weak knowledge points, student profile, diagnostic report, personalized intervention, targeted exercises, learning path planning, homework grading diagnosis, exam paper analysis, error attribution, knowledge gaps, ability profile, cognitive diagnosis, precision teaching, and individualized instruction. This article elucidates its core capabilities, configuration item requires_api_key=false, as well as applicable scenarios and limitations: Community-sourced tools require initial small-scale validation of diagnostic accuracy; the coverage of academic disciplines and educational stages is unspecified, along with the source of the knowledge graph and scope of the question bank; and diagnostic quality depends on the degree of structural completeness in the input data.
Read MoreGeneration of Patent Search Reports: Assembling Workflow Outputs into Deliverable Reports
This article introduces the SkillHub community Skill "Patent Search Report Generation" (user_07bb1a57, v1.0.4, categorized under content-creation). It aggregates artifacts from the entire search workflow into a patent search report ready for client delivery. Featuring a fixed section structure, evidence numbering system, and reproducible appendices, the report includes limitation disclaimers and outputs in Markdown or Word format. Every conclusion is fully traceable to specific patents and search queries. The tool functions as both a standalone aggregator for results from other tools and Step 10 (PS-10) of the search pipeline. Trigger words include "search report," "novelty search report," and "delivery report," and no API key is required. The text outlines considerations such as applicable scenarios, current community adoption, and missing installation commands, while providing the official URL.
Read Moredsh-dockerfile-lint: Static Heuristic Checking of Dockerfile in DSH
This document introduces the community plugin dsh-dockerfile-lint (lengrufeng2008, v0.1.0, MIT). The plugin performs static heuristic checks on Dockerfiles, covering basic image tags, root/sudo usage, remote shells and ADD usage, apt habits, potentially exposed secret parameters, missing .dockerignore files, and more. It does not run Docker. The document explains the SkillHub installation instructions, as well as the usage of the CLI and the DSH tool `dockerfile_lint`, and emphasizes that this is not a security audit or image scan and that false positives are possible.
Read MoreIndividual Stock Analysis Assistant: Breaking Down In-Depth Research on a Single Stock Into a Standardized Framework
Stock Single Analyzer (@laoxi/stock-single-analyzer, v1.0.5, by LXAI, classification: professional) streamlines in-depth individual stock research into a standardized SKILL.md framework. It supports Chinese names and stock codes for A-shares, Hong Kong stocks, and US stocks, and facilitates multi-stock comparisons. The tool is activated via natural language triggers (e.g., "Analyze stock XX," "How is XX performing?", "Is it worth holding XX?", "Is XX overvalued?", or "Which is better, XX or YY?"). The output is two-tiered: a "Seven-Dimensional Research Draft" covering both long-term value and short-term perspectives, supplemented by an independent comprehensive analysis that includes scenario projections, dual-track decision references, and candid commentary. If the environment permits, it can optionally generate a dark-themed HTML visualization report. No additional API Key is required. Please note that this tool serves as a thinking framework rather than a data source, and its output does not constitute investment advice. As installation commands, directories, and configuration fields are missing from official documentation, users should verify these details on the official page before implementation.
Read Moredsh-diff-context: Provides read-only, compact Git diff context for DSH
dsh-diff-context (lengrufeng2008) is a workflow plugin for DeepSeek Harness that reads Git diffs locally in read-only mode, outputting files, lines added/deleted, and bounded hunks. It does not call models or connect to the network. Supports CLI (--json, --staged) and in-session diff_context. Does not include untracked files, semantic analysis, or test execution. MIT v0.1.0, requires Node >=20. To install, request installation of lengrufeng2008/dsh-diff-context from DSH via SkillHub.
Read MoreXQA Risk Factor Data Skill: Official Query Portal for A-Share Multi-Factor Risk Model Data
**Introduction** In quantitative research or portfolio risk analysis, it is often necessary to determine the exposure of an A-share to style factors such as size, momentum, and valuation, as well as the historical returns of these factors. Such data typically requires independent construction or procurement from data vendors, and factor data generated by conversational models often lacks traceability. The Skill introduced below encapsulates the data query capabilities of the HengTai multi-factor risk model into a standardized Skill, allowing Agents to invoke it directly when needed. **Overview** "HengTai Risk Factor Data" is an enterprise-level Skill published on SkillHub by Hangzhou QuantTech Technology Co., Ltd. It is categorized as "professional" and is currently at version 1.0.0. It serves as a query interface for HengTai multi-factor risk model data, functioning as the official data source.
Read MoreContract Redliner: Contract Review and Drafting Skill
Contract Redliner is an Agent Skill based on the standard SKILL.md format, designed for contract review, drafting, and negotiation support scenarios. Its official coordinates are @org-eyw2ohcx/travisjneuman-claude-contract-redliner, with a source of enterprise, published by RealQ, categorized as professional, and version 1.0.0. It deconstructs contract work into four capabilities: clause analysis, risk identification, drafting templates, and negotiation stances. It provides a fixed output skeleton, requiring the model to provide the original text, risks, suggested revisions, and negotiation points item by item, rather than offering a generic summary. The tag requires_api_key=false indicates that no additional API Key is required. As of 2026-11-04, both the official page and interface addresses failed to be fetched; installation commands, directory structure, and configuration fields could not be verified, and no information has been fabricated in the text. Typical usage involves task-based descriptions: providing the contract body, requesting a clause-by-clause breakdown, adhering to a fixed four-field structure, outputting changes with revision marks, and organizing negotiation positions for high-risk clauses. Applicable scenarios include initial contract screening, clause list organization, and negotiation material preparation. Limitations include the inability to replace final legal review and unspecified dependencies on legal jurisdiction, language, or external retrieval. Since page ratings and download counts vary between crawl batches, it is recommended to refer to the official website for the most accurate information.
Read MoreOptions Strategy: Translating Market Views into Option Combination Plans
"Options Strategy" is a community-sourced Skill published on SkillHub by user_bda87ea5, categorized under "professional." Version 1.0.0 requires no API key. Designed for options trading and portfolio analysis scenarios, it activates when users express intents related to options, call/put, straddle, strangle, bull/bear spread, covered call, protective put, implied volatility, or Greeks (Delta/Gamma/Theta/Vega). It assists users in translating market views into concrete option combination plans, covering three categories: directional strategies, volatility trading, and hedging, while breaking down structures and Greeks. Metadata shows a rating of 100,000 and 962 downloads; as the page visit failed, the data comes from pre-fetched results. The official URL and usage notes are provided at the end of the text.
Read MoreEnterprise Full-Tax Compliance Expert Team: One Skill Covers Daily Full-Tax Compliance
Enterprise tax compliance is often scattered across multiple tax types and roles, with rapid policy updates and inconsistent interpretations. This community skill packages together experts on topics such as VAT law implementation, fiscal and tax policy risk compliance, comprehensive tax administration, social security tax filing, and export tax refund compliance, coordinated by a single all-tax compliance director. Users can simply raise their tax questions directly. The article outlines its positioning, core functions, official address and activation methods, typical use cases, as well as applicable scenarios and limitations, such as not replacing filing operations and the time-sensitive nature of policies.
Read MoreSelf-Improving Agent: Transforming Errors and Corrections into a Log for Sustainable Improvement
Released by mike5230odense on ClawHub, the Self Improving Agent (version 1.0.0, categorized under ai-agent) requires no API key. It maintains three log files—`.learnings/LEARNINGS.md`, `.learnings/ERRORS.md`, and `.learnings/FEATURE_REQUESTS.md`—recording structured entries based on six triggers: command failures, user corrections, missing feature requests, API failures, outdated knowledge, and the discovery of better practices. Entries include priority, status, area tags, related entries, and recurring pattern tracking. After an issue is fixed, the status is updated and a Resolution section is appended; universal experiences can be promoted to project memory files such as `SOUL.md`, `AGENTS.md`, `TOOLS.md`, and `CLAUDE.md`. OpenClaw natively supports workspace injection, hook reminders, and cross-session tools; meanwhile, platforms like Claude Code, Codex, and Copilot require manually creating the `.learnings/` directory and adding reminders to agent configurations. The official ClawHub page shows a score of 100,000 and 70,419 downloads.
Read Moredsh-codeowners: Read-Only Matching of CODEOWNERS Routes in DSH
dsh-codeowners is a DSH community plugin (admin-security) maintained by lengrufeng2008. It performs read-only, GitHub-style, last-match-wins matching of CODEOWNERS locally, routing changed files to owners, and does not provide approval workflows or interact with the GitHub API. It supports running via node bin/dsh-codeowners.mjs and via codeowners_lookup within DSH. Licensed under MIT; version 0.1.0; requires Node >= 20. This article is based on the official README and package.json, and outlines capability boundaries, usage, and security notes.
Read MoreHonor of Kings AI Match Review Evaluation Skill: Scoring the Output Quality of "AI Review"
This Skill accepts raw gameplay state data and AI-generated review reports, and scores them across dimensions including factual accuracy, analytical depth, format standardization, expression quality and engagement, rationality of user perspective, and social sharing value. It outputs a score out of 100 for each dimension along with a weighted comprehensive score. It is applicable for horizontal model evaluation, prompt iteration verification, and routine quality spot checks. Released by user_d786d32b, sourced from the community, categorized as data-analysis, version 1.0.0, with the page marking requires_api_key=false.
Read MoreWord Batch Formatting Unification Tool: Unify Formatting for Large Volumes of Documents with VBA Macros
This article introduces the Community Skill Word Batch Formatting Tool (@user_9355e276/word-format-batch-adjust, version 1.0.3, categorized under office-efficiency). It utilizes VBA macros to batch-unify fonts, paragraphs, margins, and heading styles across multiple Word documents. This tool is ideal for the standardization of large volumes of documents such as reports, bid documents, and contracts, serving as an efficient alternative to manual, document-by-document adjustments. The text details its functional scope, ratings and download statistics on SkillHub, verification constraints regarding installation and activation methods, and its operational workflow. It also highlights essential precautions, including the requirement for local Word installation and macro permissions, the necessity of backing up files prior to execution, and dependencies on existing heading styles, while providing the official access URL.
Read Moredsh-code-intel: Read-only Semantic Navigation with Local LSP
dsh-code-intel is a DSH client plugin maintained by lengrufeng2008. It provides code_definition, code_references, code_symbols, code_diagnostics, code_hover, and preview-only code_rename through a local Language Server, with no embedding or remote indexing. Installation requires `dsh plugin --profile web add` along with the corresponding language LSP. Paths are restricted to the workspace by default, and positions are 1-based. MIT licensed, requires Node >= 20.
Read Moredsh-action: Cost-Capped DSH PR Review in GitHub Actions
`lengrufeng2008/dsh-action` is a DSH community workflow plugin that, when triggered by `pull_request`, uses headless DSH with the `pr-review` skill to review the diff, generates Markdown, and can post a comment on the PR. The article covers Action configuration, `DEEPSEEK_API_KEY`, the `max-minutes` wall-clock limit, and security considerations, and provides a local bundle installation example. MIT licensed; it is not a merge or security audit tool.
Read More