dsh-skillport:在 DSH 中复用已有 Agent Skills

`dsh-skillport` 是一个 MIT 许可的 DSH 插件,旨在帮助开发者将现有工具(如 Claude Code、Cursor、Gemini CLI)中的技能文件无缝接入 DSH 原生注册表,解决 DSH 无法直接发现或读取这些相邻格式的问题。 该插件主要实现三大功能: 1. **多源发现**:自动扫描 `.claude/skills`、`~/.gemini/antigravity/skills` 等 DSH 默认不覆盖的位置,并避免与 DSH 原生路径重复扫描。 2. **格式转换**:将 Cursor 规则(`.mdc`)转换为模型可调用技能,将 Claude Code 命令转换

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dsh-codex-port: Porting Codex Plugin Skills to DSH and Agent Skills Directory

`dsh-codex-port` is an MIT-licensed DSH plugin designed to resolve compatibility issues arising from inconsistent frontmatter fields, mixed proprietary files, and same-name overwrites when migrating Codex CLI skills to DSH or other tools supporting the Agent Skills format. The plugin primarily provides three core functionalities: scanning plugins and skills in the local `~/.codex` directory, batch-migrating skills with automatic frontmatter format conversion (such as preserving multi-line descriptions, removing Codex-specific files, and sanitizing invalid characters), and comparing migration status between source and target directories. Regarding safety and idempotency, the plugin solely performs file system operations, relies on Node.js 22+ and a YAML parsing library, and defaults to a skip strategy.

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Upstash/Skills: Enhancing Upstash SDK Proficiency for AI Coding Agents

Upstash/skills is a collection of Agent Skills maintained by Upstash, covering usage instructions for Upstash SDKs such as Redis, Vector, QStash, and Workflow. It can be installed in DeepSeek Harness via the command `dsh plugin --profile web add github:upstash/skills` and includes bundled MCP servers. Credentials are optional, as the skills themselves provide coding guidance without requiring login. It is designed for developers who need intelligent assistance in integrating Upstash services.

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Connect Existing SKILL.md to DeepSeek Harness via dsh-skillport

DSH-Skillport is a DeepSeek Harness skill plugin (MIT, 0.1.0) maintained by jesse-njx. DSH natively scans the `.dsh/skills` and `.agents/skills` directories; this plugin additionally scans for `SKILL.md` files in directories such as Claude Code and Gemini CLI, converts Cursor rules and slash commands into skills, and provides the `find_skill` and `/skills doctor` functions. This article verifies the installation commands, configuration items and capability boundaries based on the community directory page and GitHub source code.

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Write Your First Agent Skill Using the Official template-skill

Template-skill is the starting skeleton of Skill in Anthropic's official repository anthropics/skills, with only one SKILL.md file containing name and description placeholders in the directory. Agent Skills became an open standard in December 2025, and the same file can be enabled by scanning directories in Cursor, Claude Code, and Codex CLI respectively. This article follows the official template and agentskills.io specifications to explain the frontmatter fields, directory structure, installation paths of each tool, and how to fill in the template to create the first triggerable Skill.

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Visual QA Testing in Cursor: Capture Screenshots, Console Logs and Network Requests in One Go

visual-qa-testing is an Agent Skill in the community repository awesome-cursor-skills, which guides Cursor Agent to use the built-in browser (cursor-ide-browser) to perform visual QA after modifying the UI: confirm the development service, take page screenshots, check console errors and network requests, and conduct verification after interacting with button forms. Based on SKILL.md and Cursor's official Skills/Browser documentation, this article explains its positioning, installation directory and npx skills installation method, typical calling steps, as well as precautions such as relying on the built-in browser and being an alternative to non-test frameworks.

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Parallelly familiarize yourself with unfamiliar codebase and generate onboarding documentation using codebase-onboarding

### 翻译结果: This article introduces the `codebase-onboarding` skill in spencerpauly/awesome-cursor-skills: it launches 5 read-only explore sub-agents in parallel to research architecture, data models, APIs, authentication and deployment respectively, then synthesizes the results into an ONBOARDING.md. Based on the official SKILL.md and Cursor Skills documentation, it explains the installation directory, the `npx skills` installation method, the calling mode of `/codebase-onboarding`, as well as applicable scenarios and review precautions.

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`define-goal`: Clarify the Goal First, Then Let the Agent Take Action

This article introduces OpenAI's curated Skill `define-goal`: it is used to refine vague intentions into specific, measurable and verifiable goals before coding, and call `get_goal/create_goal` again in accordance with quality standards. Based on the official SKILL.md documentation, the article explains the workflow, comparisons between good and bad goals, Codex installation (via `$skill-installer`), and the method of enabling it in tools such as Cursor/Claude Code through the SKILL.md directory. It also reminds that this skill only performs goal definition and does not manage long-cycle execution deliverables.

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cli-creator: Turn API Documentation into Agent-Invokable Command-Line Tools

cli-creator is a curated Skill in the OpenAI Skills repository. It guides AI to generate installable, composable command-line tools that output stable JSON from API documents, OpenAPI, curl, or SDK scaffolds, and is paired with a Companion Skill for subsequent Agent reuse. This article introduces its core command contracts (doctor/discovery/resolve/read/write), runtime selection for Rust/Node/Python, authentication priority, as well as installation and typical usage in tools such as Codex and Cursor.

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### 正式译法(符合技术文章标题规范): # Algorithmic Art: Integrate p5.js Algorithmic Art into AI Programming Assistants with Agent Skill

### Official Creative Skill: algorithmic-art from Anthropic This skill generates interactive algorithmic art based on p5.js and seed randomization. After verifying against the official SKILL.md document, this article explains its two-stage workflow of "algorithmic philosophy + HTML finished product", the constraints of the viewer.html template, as well as the installation methods and typical prompt words in Cursor, Claude Code and Claude.ai. It is suitable for developers who want to quickly create generative art or learn creative Agent Skills.

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Code Review: Equip AI Programming Assistants with "Standardized Code Review Workflows"

code-review is an official sample Skill built into the awesome-agent-skills repository. It defines a unified code review process for AI programming tools such as Cursor, Claude Code, and Copilot via SKILL.md. It covers five types of checks including syntax, logic, security, performance and style, and outputs a standard report containing problem lists, improvement suggestions and three scores. This article introduces its origin, core capabilities, one-click/manual installation methods, typical usage and applicable scenarios, to help developers standardize AI-assisted code review quickly.

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Extracting Skills from Repeated Patterns: Detailed Explanation of the Meta-skill building-skills-from-patterns

### 正式翻译(符合技术文档语境): `building-skills-from-patterns` is a meta-skill in the `awesome-cursor-skills` repository. It teaches the Cursor Agent to recognize recurring multi-step workflows and save them as `SKILL.md` files under the `.cursor/skills/` directory. This article introduces its trigger conditions, four-step workflow, division of labor with Rules and Hooks, as well as installation methods and typical use cases, helping developers advance from "repeatedly dictating workflows" to "building reusable Skills on their own".

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internal-comms: Let AI Write Internal Communication Documents According to Company Format

Anthropic's official Skill internal-comms packages internal communication templates such as 3P weekly reports, all-staff newsletters, FAQs, and incident reports into the SKILL.md instruction set. This article introduces its workflow for loading examples/ guidelines by category, the installation method in Cursor / Claude Code, as well as typical prompt usages and customization suggestions.

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# Skill-Creator: Anthropic's Official "Meta-Skill" to Teach You Write Evaluable Agent Skills from Scratch

skill-creator is an Agent Skill "meta-skill" in Anthropic's open-source repository, specifically designed to guide developers in creating, testing and iterating on SKILL.md. This article introduces its core capabilities: structured creation workflow, Skill directory specifications, eval evaluation and benchmark testing, description trigger optimization, as well as the installation and activation methods in tools such as Claude Code and Cursor. If you plan to systematically get started with Agent Skills, or already have a Skill but encounter inaccurate triggering or unstable output, skill-creator provides a complete closed loop from drafting to packaging, making it one of the most worthwhile skills to install first in the Skill ecosystem.

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MCP and Agent Skills Become New Attack Surface: Permission Governance, Static Scanning and ChainDrop Injection into Claude Configuration

In August 2026, the ChainDrop worm achieved persistence by injecting into `.claude/settings.json` and `.vscode/tasks.json`, with malicious execution triggered once developers opened the repository. Meanwhile, approximately 36% of MCP servers and Agent Skills have security flaws, and 80% of enterprises lack governance for Agentic AI. This article sorts out the three-layer attack surface of models/instructions/Harness, MCP Tool Poisoning and protocol approval gaps, introduces JFrog Agent Guard and skill-audit-mcp static scanning, and provides an actionable protection checklist for CI integration and runtime approval.

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Ponytail: Let AI Agents Follow the YAGNI Principle to Reduce Over-Engineering and Token Waste

# Ponytail: August 2026 GitHub Trending Project Ponytail is a YAGNI (You Aren't Gonna Need It) agent skill suite designed specifically for coding agents. Through decision ladders and commands such as `/ponytail-review` and `/ponytail-audit`, it prioritizes reuse, standard libraries and native capabilities before writing code, curbing over-engineering and unnecessary dependencies. Official agentic benchmarks conducted on real FastAPI+React repositories show an average code reduction of approximately 54%, a token reduction of around 22%, a cost reduction of roughly 20%, while maintaining 100% security. It supports over 14 hosting environments including Claude Code Plugin and Cursor rule injection. This article introduces its principles,实测 data, installation methods and applicable boundaries.

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Copilot Code Review Integrates Agent Skills and MCP: Team Guidelines Finally Can Be Included in Reviews

On July 29, 2026, GitHub announced the general availability of Copilot code review support for Agent Skills and MCP servers, which is now available to Pro, Business and Enterprise users. Teams can inject internal coding and review specifications via the SKILL.md file in the .github/skills directory; MCP can pull external contexts such as Jira and document systems in read-only mode, and attribution tags for skills and MCP are added to review comments. This article sorts out the core capabilities of the general release, the configuration examples of SKILL.md, the read-only security boundary of MCP and implementation suggestions.

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Gemini CLI Steps Down, Antigravity CLI Takes Over: A Comprehensive Guide to Google's Agent Terminal Strategy

Google released Antigravity CLI at 2026 I/O, which shares the Agent Harness with Antigravity 2.0 and comes pre-installed with jointly optimized Gemini 3.5 Flash by default. The Gemini CLI for individual users was discontinued on June 18, while enterprise/API Key users are not affected. This article sorts out the migration timeline, core capabilities (Agent Skills, MCP, multi-agent orchestration) and installation and migration steps to help you quickly understand Google's Agent terminal strategy.

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