Super Data Analyst: Delegating Structured Analysis Workflow to Skill
"Super Data Analyst" is an Agent Skill released by Feifan Zhichuang (Coordinates: @ffic/super-analyst, Version 1.0.1, Category: data-analysis, No API Key required). It provides systematic deep analysis capabilities across 12 analytical frameworks, featuring a 7-stage workflow and intelligent framework recommendations. It is applicable to scenarios such as strategic analysis, industry research, problem diagnosis, decision assessment, innovation design, prioritization, and risk assessment. This article introduces its core features, installation and activation methods, and typical use cases, while outlining its applicable boundaries and precautions.
Read MoreAnalysis of Foreign Trade Buyer Objections and English Responses: Distinguish Types First, Then Write Replies
This Skill targets foreign trade B2B follow-up scenarios, handling eight categories of buyer objections: price, MOQ, lead time, quality, certification, payment, trust, and competitor solutions. Its core mechanism involves classifying each objection into one of four natures—real concerns, information gaps, negotiation stances, or mismatches—and then generating evidence-backed English responses that avoid over-promising. It also supports the continuous logging of objections, replies, and outcomes. The description explicitly states that it does not manipulate buyers or fabricate evidence or competitive information. Maintained by community publisher user_a8e9072b, this is version 1.0.0. Sourced from the community and categorized under business-ops, the tag `requires_api_key=false` indicates that no API Key is required. The official page could not be accessed during this retrieval; consequently, installation commands, directory paths, and configuration fields are absent from the existing data and should be verified on the official page. Page ratings and download counts were inconsistent across different batches and were therefore disregarded. It is suitable for teams requiring long-term follow-up with overseas buyers and consistent response protocols, but not for initial outreach emails or contract negotiations.
Read MoreBoardwise: Enabling AI to Read Schematics for Offline Review and Verifiable Editing
boardwise is a native intelligent agent harness designed for hardware engineers. It bridges the offline engine, daemon, and EasyEDA Pro extension to enable AI to read components, nets, and pins instead of taking screenshots. It can perform checkup review with evidence annotations, execute preview→approve→readback editing, and export-fab export. DSH users can optionally install the boardwise-dsh plugin package (version 0.6.0, MIT license) from the Release. It supports accessing assistants such as DeepSeek through install-skill. The environment mainly requires Windows, Python≥3.10, and verified EasyEDA Pro versions.
Read MoreHealthy Shrimp 14-2: Agent Skill for Diet and Exercise Management and Health Checkup Interpretation
Health Shrimp 14-2（@user_d93c4aed/sc-health-coach-plan）is a community-sourced Skill, version 1.0.0, categorized under life-service, requires_api_key=false. It is positioned as an intelligent health advisor for OpenClaw Course Section 14, offering three core capabilities: interpretation of medical examination reports/lab results, personalized diet and exercise plans, and follow-up visit/medication reminder templates. Trigger words include health, physical examination, lab reports, diet and exercise plans, exercise, nutrition, follow-up visits. Official documentation does not provide installation commands; both attempts to access the page failed, therefore installation steps are not included in the main text. Task clues and pre-fetched data show inconsistencies in ratings and downloads (clues: 99165 points / 1148 downloads; pre-fetched: 100000 points / 1192 downloads / 0 installations). The main text adopts pre-fetched values and marks them as pending verification. The output does not constitute medical advice and serves only as educational content and template tools.
Read MoreTriage: Delegating Issues and External PRs to Agents via State Machines
Triage is a community skill on SkillHub (@user_0b46df4a/mp-triage, version 1.3.1+r1, categorized under ai-agent). It routes issues and external PRs through a state machine of triage roles: starting with classification, proceeding to verification, following up with submitters when necessary, and finally producing directly dispatchable agent-ready briefs. This article introduces the pain points of manual triage it addresses, its five verifiable core capabilities, how to enable it (no API key required), as well as the installation commands and client differences that could not be verified due to a failure to scrape the official page. It also outlines applicable scenarios and precautions.
Read Moreplugin-fast-adapt: DSH Plugin Upgrade Adaptation and Breaking Change Check
taxueseek's DSH client plugin, `plugin-fast-adapt`, directly connects to the official upgrade guide and release notes to scan for breaking changes and provide migration fixes. It includes a one-click pipeline via `run.mjs`, a fleet-sweep cluster dashboard, five scaffold variants, and environment/startup diagnostics. With zero external npm dependencies, it supports the DSH 0.2.2 series and performs 206 offline self-checks. Installation: `npx skills add taxueseek/plugin-fast-adapt`. MIT License.
Read MoreDSH Process Tree: A Navigable Process Tree for Tool Invocation
DSH Process Tree (dsh-process-tree) is a DSH client interface plugin maintained by Bosaiting, designed for Web and similarly interfaced desktop versions. It renders tool calls loaded in the current session as task-function code views or process trees—such as "classic curves," "plant manuscripts," and "quiet lines." It supports multi-language read-only schematics, IDE color schemes, failure lists, and minimap positioning, while preserving host interactions like `file` and `web_fetch`. The installation command is `dsh plugin --profile web add dsh-process-tree@latest`; settings are stored in `localStorage`, and the plugin is released under the MIT license.
Read MoreTrusted PPT: Traceable and Editable Presentation Skill
DKnowC PPT Assistant (@dknowc/dknowc-ppt-assistant, v1.5.2, Enterprise Source, office-efficiency) is provided by DKnowC Intelligence, a subsidiary of Beijing Caizhi Technology Co., Ltd. It is designed for presenters, lecturers, and material writers within enterprises, public institutions, and government agencies. The tool supports various presentation types, including work reports, thematic reports, summaries and debriefings, policy dissemination, training materials, and data reporting. It is also capable of converting Word documents, meeting minutes, and research reports into PPT format. The output consists of native PowerPoint .pptx files where shapes, text boxes, charts, and tables remain fully editable in PowerPoint or WPS. It includes built-in style presets such as "Party & Government Simplicity," "Data Charts," "Business Report," "Solemn & Elegant," and "Training Courseware." The tool supports canvas sizes including 16:9, 4:3, Xiaohongshu (RED), WeChat Moments, vertical stories, and A4. When handling policies, data, standards, or cases, the system first retrieves materials from an authoritative document library. After generating an outline and references for user confirmation, it proceeds to generate the slides page by page. Every citation includes a superscript marker allowing users to view the original text segment (including document number, issuing agency, and date). The system also delivers two HTML verification reports (an outline version and a final draft version) with clickable source tracing. An API Key is required for activation.
Read Moredsh-lan-tool: Enabling LAN Access and Mobile Adaptation for the DeepSeek Harness Web GUI
dsh-lan-tool is a DSH client plugin maintained by MrMu666 (MIT, npm package dsh-lan-tool, current documentation version 1.6.1, requires DSH 0.2.1-rc.5). It does not alter the DSH local listening settings but provides a local area network (LAN) entry on the same port through a built-in reverse proxy. LAN devices access the service via a password gate, while local loopback access requires no password. Toggles on the settings page take effect immediately, with options for a fixed LAN port and automatic firewall rules. Portrait mode is optimized with touch injection, and the capability boundaries remain consistent with the official non-local policies. Installation can be performed by entering the package name on the Plugins page or using the CLI command `dsh plugin --profile desktop add dsh-lan-tool`. Please set a password before enabling the plugin.
Read MoreComputer Use: An AI Agent Skill for the General SKILL.md Specification
Computer Use is an Agent Skill published on SkillHub under the category of "ai-agent." Published by RealQ (Version 1.0.0), it adheres to the standard SKILL.md format. With a tag of `requires_api_key=false`, no separate API Key configuration is necessary for this Skill. This article objectively outlines its capability boundaries: the official description is empty, and page scraping failed. Since installation commands and configuration fields are not provided in the official documentation, unverified installation steps are intentionally omitted. Instead, only the official address and items requiring confirmation prior to integration are provided (specifically: verifying runtime support for SKILL.md; noting that with 1,473 downloads and 0 installations, the verification status remains uncertain; treating rating fields as unsuitable indicators of quality; and emphasizing that computer operation Skills must be utilized under controlled conditions within a sandbox).
Read MorePedagogical Explanation: An Agent Skill for Cognitive Psychology-Based Learning Strategy Recommendations
教学讲解 is a community-education skill published on SkillHub (version 2.0.2) by user_3c6cb52e. It belongs to the education category and requires no API key. The skill provides in-depth exploration of teaching explanation, grounding learning-method recommendations in cognitive psychology and emphasizing learning correctly rather than learning more. Its trigger word is tutor-explain. This article describes its positioning, core features, how to install and enable it, typical usage patterns, applicable scenarios, and notes/cautions.
Read MoreProcurement & Supplier Management | Guo Yiyi: Turning Supplier Evaluation into a Reusable Scorecard
This article introduces the SkillHub community skill 'Procurement Supplier Management | Guo Yiyi': it takes supplier quotations, delivery times, quality, payment terms, and fulfillment records as inputs, and produces supplier scorecards, tiered lists, and negotiation suggestions. The article verifies the publisher, version, category, the tag requires_api_key=false, usage boundaries, and discrepancies in popularity data. It explains that the skill is suitable for existing data evaluation scenarios for procurement managers, supply chain teams, and finance teams, and provides the official URL; since the materials do not include installation commands or reproducible examples, they are not fabricated.
Read Moredsh-logistics: Managing project logistics in DSH with modular expert review and optional repair
dsh-logistics is a DeepSeek Harness workflow plugin (v0.3.0, MIT) maintained by whitequeen306. Upon installation, it provides seven commands including /logi: it first performs deterministic scope collection, then has subagent experts write handoffs, and finally the main session model serves as the chief editor to output a module-aggregated report.md and verdict.json. The machine only validates the contract, without health scores or baseline gates. An optional /logi-fix command performs dry-run or whitelist-based fixes on direct items. Requires DSH 0.2.1+ and Node ^22.19.0||>=24.
Read Moredsh-breach: DSH Prompt Injection and Rollback-Capable Host Patches
dsh-breach is a DSH admin-security plugin maintained by zhuchongba-01, derived from dsh-purge. It provides prompt injection (including $DSH_HOME/prompt-inject.md and encrypted defaults) and rollback-capable string patches for the host source code; it settles 72 items on DSH 0.2.1-rc.5. It can only be installed from GitHub, with the Web surface command: dsh plugin --profile web add github:zhuchongba-01/dsh-breach. It includes happy_apply/revert, a net-scope request gate, /dsh-breach same-origin routing, and a floating panel. Please be aware of the risks associated with modifying the host source code before use; it is provided under the MIT license disclaimer and is intended for local learning and research only.
Read MoreWorkBuddy Expert Creation Skill: Compiling Business Background into Pasteable Expert Descriptions
This skill helps users create high-quality AI expert descriptions for Tencent WorkBuddy. Through a round-table style guided conversation, it collects your professional background, core use cases, and collaboration preferences step by step, and generates an expert description ready to paste directly into the WorkBuddy expert creation UI. According to the official brief, it is suitable for employees across enterprises, government/public institutions, education and research organizations, as well as individuals and freelancers. Its tag is requires_api_key=false, meaning no API key is required. It can be triggered when users mention WorkBuddy, want to create an AI expert, don’t know how to describe an AI assistant for their industry, want AI to better understand their business, or say “help me create an expert.” This article has verified the official URL, the SkillHub page coordinates, and the version. It notes that installation should follow the guidance on the SkillHub page. Since no standard installation command has been confirmed, no command is provided. Ratings, downloads, and installation data come from pre-fetched materials; it is recommended to reconfirm before citing.
Read MoreDSH-Chain: Making DSH Remember Decision Rationale
canglight/dsh-chain (dsh-chain-shared) is a memory plugin for DeepSeek Harness that records judgments, evidence, hesitations, and conclusions into local JSONL files. It features half-life-based forgetting across eight memory pools and injects content into the system prompt each turn within an `injectMaxChars` budget. Additionally, it supports jieba+IDF retrieval, `chain_about` metacognition, a 3D Nebula Tab, and nocturnal reports. This article provides installation and usage instructions verified against the SkillHub/GitHub README, covering link-based installation, npm dependencies, and considerations for session sharing.
Read MoreBatch Collection of Official Account Article Content: Introduction to wechat-article-search-api-skill
The wechat-article-search-api-skill is a WeChat article collection workflow based on the BrowserAct WeChat Article Search API template, published and maintained by @ccmagia2-gif on ClawHub, version v1.0.1, under the MIT-0 license. By inputting search keywords and optional publication date filters, users can obtain structured article data through a single Python script call, including original article links, publication dates, author or WeChat public account names, cover image URLs, full article body, and titles. It utilizes a pre-configured browser automation workflow to execute tasks, avoiding AI hallucinations, eliminating the need to handle CAPTCHAs and IP geolocation restrictions. Compared to purely AI-driven solutions, it executes faster at lower costs and includes built-in one-time automatic retries. The article introduces the Skill's positioning, core features, installation command (openclaw skills install @ccmagia2-gif/wechat-article-search-api-skill), BROWSERACT_API_KEY configuration process, input parameters, typical usage examples, execution status monitoring, output fields, error handling logic, as well as applicable scenarios including content monitoring, media research, trend tracking, knowledge base construction, and competitive analysis, along with usage limitations.
Read Moredsh-memewiki: A Built-in Meme Encyclopedia for DSH to Understand Group Chat Memes
dsh-memewiki is a DSH plugin maintained by thawline, featuring a built-in offline database of approximately 6,696 memes and slang terms ported from AstrBot's memewiki. It triggers a pre-check on messages that appear to be inquiring about memes; if a match is found, the specific entry is injected into the model. It also provides a `search_meme_wiki` tool and entry management via the settings page. To install, run `pnpm add github:thawline/dsh-memewiki` in the profile directory and add it to `dsh.profile.bundles`. Configuration is done via `~/.dsh/memewiki.json`. It requires Node.js ≥ 22.13 and is released under the MIT license.
Read MoreConversation Forking (Creating Branches): Fully replicate the entire working context of a long-running conversation into a separate branch.
Session Forking is a universal Agent Skill that comprehensively duplicates the workspace of a long conversation—including context, confirmed conclusions, completed steps, and tool results—into an independent branch. While the original branch remains intact, the new branch can diverge and re-execute from any specific node or explore multiple paths in parallel. This feature is ideal for scenarios sensitive to context continuity, such as dialogue, task execution, planning, coding, writing, and research. The forking object targets the workspace rather than the chat log, powered by a universal 'fork-core' engine for cross-product compatibility; no API Key is required for usage. This article outlines its positioning, core capabilities, trigger mechanisms, typical use cases, and applicable boundaries, while noting the absence of installation commands in the provided materials.
Read MoreDeconstructing Book Selling Points | Sun Sanye's Publishing Skill: Turning a Manuscript into Textually-Grounded Selling Points
"Book Selling Point Breakdown | Sun Sanye Publishing Skill" is an Agent Skill based on the universal SKILL.md format, maintained by community publisher user_6509230e. It is categorized as content-creation, version 1.1.1, sourced from the community. The skill generates a book marketing selling-point sheet from manuscripts, synopses, tables of contents, sample chapters, PDFs, Word files, screenshots, or pasted content. Each selling point is backed by source excerpts, includes page-number clues, and is mapped to target audience segments; star ratings are left blank to be filled in after user research. When needed, a Douyin remix video script can be generated. It is applicable to book breakdowns, selling-point extraction, target reader analysis, new-release marketing materials, and product-promotion video scripts. The article covers positioning, core features, official address and activation methods, typical use cases, and precautions.
Read MoreDouyin Content Engine: Integrating Topic Selection to Comment Operations into a Single Delivery
An introduction to the "Douyin Content Engine" by Lao Xie (Village Chief) on SkillHub: it compresses topic selection, spoken scripts, titles, cover copy, publishing strategy, and comment-section operations for Douyin spoken videos into a single full-pipeline delivery checklist. The wealth vertical receives targeted tuning covering hook preferences, posting-time patterns, and comment-section SOPs; finance-related content is subject to three outright prohibition triggers—income promises, recommending purchases on behalf of clients, and exaggerated returns—and delivery is allowed only when the automated check yields HARD=0. The core methodology includes a five-part spoken script (a 3-second hook, pain-point resonance, three actionable points, a memorable takeaway line, and conversion instructions, proportionally scaled by video length), five title formulas, and three seeded comment hooks. Sibling tools include the Viral Oracle (a pre-publish health check), the First 3 Seconds Hook Lab (for refining openings), and the Douyin Viral X-Ray (for dissecting benchmarks); this product focuses on production. The article also outlines trigger words, typical use cases, applicable scenarios, and limitations. Because the official page could not be retrieved this time, installation commands and configuration paths are not speculated.
Read MoreJiahao Model: DSH Persona Plugin — Change the Approach, Not the Delivery Standard
Jiahao Mode (dsh-jiahao-mode) is a fun character/costume plugin for DSH maintained by Rosynb666. It injects four behavioral guidelines: accepting jobs, engaging in combat, lagging, and gloating, with three adjustable levels of "toxicity." It supports soft mutual exclusion with other character plugins. The top-right corner provides a "Boldness" panel, kill notifications, and round settlement cards. The commands `/advance`, `/lagged`, `/niwan`, and `/career` allow users to progress, retry, and check battle records. Install via `dsh plugin --profile desktop add github:<owner>/dsh-jiahao-mode`. This is an unofficial fan-made work licensed under MIT and does not contain any game art assets.
Read MoreTersio: Token Savings and Usage Tracking for DSH
Tersio (@krtclcdy/tersio), maintained by KurutoDenzeru under the MIT license, is designed for users of token-billed coding agents. On the same extension tree, it provides Caveman (concise replies), RTK (compressed terminal output), Ponytail (slim diffs), optional pstack and Headroom, along with Combo presets and a local Dashboard. It supports MCP statistics reading and mode switching. DeepSeek Harness can be installed via `dsh plugin --profile web add npm:@krtclcdy/tersio` or `tersio install --host dsh`, while desktop users can add the npm package name through the application's plugin panel. Default configurations are stored in `~/.tersio/settings.json`. It is ideal for high-frequency users; it is recommended to review the source code and process permissions before installation.
Read MoreCo-creation Coach for Huaqiao Real Estate New Media Broadcasts: Turning Topics into Filmable 600–1000 Word Scripts
The "Huaqiao Real Estate New Media Spoken Script Coach" (Huaqiao Real Estate New Media Script Coach, @user_6414fc08/real-estate-script-coach, version 2.0.1, category: content-creation, source: community, tag: requires_api_key=false) bridges the gap between topic selection and filmable scripts for real estate short videos. It accepts two types of inputs: real estate topics (titles, one-liners, keywords, or scattered ideas) and verbal customer success stories. The final script is rigidly organized into four actions: "Hook First → Core Viewpoint → Illustrative Examples → Call to Action." It generates a 600–1000 word spoken script, requiring data verification and the inclusion of must-mention disadvantages before finalization. Upon completion, it outputs a ready-to-copy and editable .md document. Additionally, the script must adhere to the "512 Convention," with specific terms subject to SKILL.md. The article explains the tool's positioning, four core capabilities, and the verification boundaries for installation and activation (as the page does not provide installation commands or explanations regarding differences between Cursor / Codex CLI / Claude Code, specific details are not fixed here). It provides two directly reproducible input formats with expected outputs, and lists applicable scenarios along with five points for attention: external data must still be independently verified; storyboards are not produced; word count must be managed by the user; convention terms must be read first; and page ratings and download metrics may fluctuate (the current crawl shows a rating of 100,000, 2,136 downloads, and 0 installations, which differs from numbers in task clues; real-time page data should be referenced when citing).
Read Moredsh-live-compact: Compact on the Fly While Preserving Prefix Caching
dsh-live-compact is a DSH community plugin maintained by MerkyorLynn. When the context exceeds approximately 20,000 tokens, it performs an in-place spine cut on the just-completed turn without calling the model, retaining the prefix to maintain cache hits and delaying the official 80% major compression. It supports headless mode and web/Desktop preset replacement, though the TUI is currently unavailable. Installation requires the DSH 0.2.0-rc.2 line and Node 22.19+, with the current package version being 1.0.4. The cut original text is stored in `~/.dsh/compaction-spine/shadow`. The README includes evaluation data for 150 questions and 20 WebUniverse questions. MIT licensed.
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