dsh-peer-link: Native Point-to-Point Messaging for DSH Sessions
dsh-peer-link is a DSH plugin designed to enable point-to-point communication between DSH sessions and other agent sessions (such as Claude Code) on the same machine via Unix Socket. This plugin registers the DSH process as a discoverable peer, distinguishes specific sessions through short IDs, and supports injecting received messages into DSH sessions in the form of user bubbles. Core functionalities include `peer_send` (for sending messages to a specified peer or socket path) and `peer_list` (for viewing active peers, with support for directory filtering, sorting, and interactive operations). Installation requires using the `dsh plugin` command to add the plugin repository. If communication with Claude Code is needed, Claude Co
Read MoreDSH Crew: Assigning Tasks to DSH Agents in Claude Code / Codex
DSH Crew is a workflow plugin for DeepSeek Harness, maintained by ZSeven-W. It enables Claude Code, Codex, Antigravity, and Grok to dispatch tasks to a genuine DSH agent while displaying native sub-agent progress within the host. It supports flash/pro tier strategies, failure-based tier escalation, dispatch guards, and a task board; the DSH Web runtime worker is visible as a first-class session. It also provides visual description and image generation bridging for pure-text DSH models. The installation command is: `dsh plugin --profile web add @zseven-w/dsh-crew@latest`.
Read MoreIntegrate Codex and Claude Code into resumable DSH sub-agents using dsh-plugin-product-subagents
`dsh-plugin-product-subagents` is a DeepSeek Harness session and messaging plugin maintained by shaokeyibb (MIT License, npm version 0.3.1). It connects ACP CLIs such as Codex, Claude Code, and Cursor/CodeBuddy/Gemini/OpenCode to the dsh sub-agent channel, providing features including resumable subtask chats, remote session recovery, a declarative role library (general/code-review/explore/debug), and delegation permission ceilings. This article verifies the installation commands, six tools and security boundaries against the community directory page, GitHub README and official sub-agent documentation.
Read MoreImport Historical Sessions Such as Claude Code and Codex into DeepSeek Harness Using dsh-chat-import
dsh-chat-import is a DeepSeek Harness session and message plugin (MIT License, current version 0.5.1) maintained by Nwflower. It can read-only import historical conversations from 14 sources including Claude Code, Codex, ChatGPT, Cursor, Gemini, Reasonix and Kimi into resumable dsh sessions, and supports export, bundle backup and slash command handover. This article verifies the installation commands, usage and permission precautions based on the community directory page and GitHub repository.
Read MoreWrite 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.
Read More# shadcn Skill: Let AI Search, Install and Combine shadcn/ui Components According to Project Configuration
shadcn is the official Agent Skill for shadcn/ui. After installation, it will read the project's components.json, inject the framework, aliases, installed components, icon library and underlying primitives via `shadcn info --json`, then search, install, debug and stitch together UIs according to the official combination rules. It was released alongside CLI v4 in March 2026, and can be added to tools like Cursor, Claude Code and Codex via `pnpm dlx skills add shadcn/ui`, preventing assistants from writing components that do not match the project based on memory.
Read MoreClaude Code v2.1.224: Multiple independent sessions can send messages directly to each other, say goodbye to copy-pasting between terminals
Anthropic launched cross-session messaging in Claude Code v2.1.224 (released on August 7, 2026): independently running sessions on macOS/Linux can discover each other via ListAgents and send each other plain text summaries via SendMessage, without manually copying context between terminals. The messages do not carry conversation history or files, and the recipient still needs to approve sensitive operations on their own; the communication uses local sockets on the same machine, and cross-machine support is limited to replies via Remote Control. This article introduces the mechanism, scenarios, usage and security boundaries based on official documentation.
Read MoreClaude Code Launches Default Auto Mode on August 14: AI Programming Agents Move from "Review Line-by-Line" to Autonomous Execution
Anthropic announced that starting August 14, newly created Claude Code sessions for Pro, Max and Team users will enable Auto Mode by default, replacing one-by-one permission pop-ups with a safety classifier. Official controlled experiments show that the classifier intercepts approximately 89% of dangerous commands, far higher than the approximately 14% interception rate of manual approval; PR output for Team users increased by about 25%. This article sorts out the Auto Mode mechanism, safety data, applicable scope of each subscription plan, and developer response suggestions.
Read More# migrate-to-codex: Official Migration Skill to One-Click Move Claude Code Configuration to Codex
OpenAI's official Skill `migrate-to-codex` can convert Claude Code's instructions, Skills, Hooks, MCPs and sub-Agents into Codex's standard directory structure, supports scan, plan, dry-run and verification, and outputs a migration report. This article introduces installation and activation, typical commands, as well as the complementary relationship and limitations between it and Codex /import.
Read MoreDetailed Explanation of canvas-design Skill: Incorporating Design Philosophy into AI to Generate PNG/PDF Static Visual Works
Canvas-design is a creative Agent Skill in Anthropic's official Skills repository. It adopts a two-step workflow of "first formulating design philosophy, then expressing it on the canvas, and finally conducting secondary refinement", and outputs .md manifesto and .png/.pdf visual finished products. This article verifies its core capabilities, canvas-fonts font resources, installation methods in Cursor and Claude Code, as well as typical usages such as posters and brand visuals and copyright considerations based on the official SKILL.md.
Read More# doc-coauthoring: Use a three-stage structured workflow to let Agents help you write clear technical specifications and decision documents
Doc-coauthoring is a documentation co-creation Skill in Anthropic's official Skills repository, targeting structured writing scenarios such as technical specifications, decision documents, RFCs, and PRDs. Instead of generating a full article at one time, it guides the Agent through three phases: context collection, section-by-section polishing, and reader testing. It first supplements background information through meta-questions and information dumping, then conducts brainstorming, screening, drafting and iterative revision by chapter, and finally uses a context-free Claude to simulate reader questions to identify blind spots in the document. This article introduces its core capabilities, installation methods in Cursor and Claude Code, as well as typical interaction examples and applicable boundaries for writing decision docs.
Read MoreAnthropic PDF Skill: Enabling AI Programming Assistants to Truly Handle All Scenarios of PDF Processing
This PDF is an Agent Skill maintained officially by Anthropic, which follows the Agent Skills open standard and can be used in Cursor, Claude Code and Codex. It covers high-frequency office automation scenarios including PDF reading and extraction, merging and splitting, rotating and watermarking, form filling, encryption and decryption, OCR and image extraction, etc., and includes tool selection guides for pypdf, pdfplumber, reportlab, qpdf, pdftotext and other tools. This article introduces the positioning, core capabilities, installation methods in Claude Code/Cursor/Codex, as well as official code examples and usage notes of the Skill.
Read More# Claude-api Skill: A Pocket Reference Manual for Claude API Developers
Anthropic's open-source claude-api Agent Skill packages the documentation of Messages API, Managed Agents and 8 programming language SDKs including Python, TypeScript and Go into progressively loadable references, which is built into Claude Code. This article introduces its positioning, core capabilities (model migration, streaming, tool calling, Prompt Caching, MCP/Agent), installation method and typical usage, helping developers avoid writing outdated Claude API code from memory.
Read MoreClaude Code 2.1.220 Defaultly Switches to Opus 5, Nested Subagent Depth Expanded to 3 Layers
On July 24, 2026, Anthropic released the 2.1.220 series updates for Claude Code: version 2.1.219 switched the default model to Claude Opus 5 (1M context window), and expanded the default nested subagent depth from 1 to 3; version 2.1.218 changed `/code-review` to run as a background subagent. An early August evaluation showed that the gap between Opus 5 and GPT-5.6-Sol on Terminal-Bench 2.1 was less than 0.5 percentage points, and the competition for AI programming agents has shifted to focusing on both models and orchestration layers. This article sorts out the version changes based on the official CHANGELOG, and provides configuration instructions for subagent depth limits, concurrency upper limits and other parameters.
Read MorePonytail: 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.
Read MoreGraphify: Convert code bases, documents and SQL into queryable knowledge graphs to replace traditional vector RAG
Graphify, which has been consistently ranking on GitHub Trending in early August 2026, allows users to build locally queryable knowledge graphs from code, documents, SQL schemas, PDFs and more via the /graphify Skill. It uses tree-sitter AST for deterministic parsing at the code layer and does not rely on vector databases. The edges are labeled EXTRACTED/INFERRED for interpretability. This article introduces its differences compared to vector RAG, the steps to install and integrate it with Claude Code/Cursor, as well as its query, path and explain usages.
Read MoreNous Research Releases Open-Source Programming Model NousCoder-14B, Competing with Claude Code Moment
NousCoder-14B is an open-source competitive programming model developed by Nous Research based on Qwen3-14B and trained using verifiable reward reinforcement learning, achieving a 67.87% Pass@1 score on LiveCodeBench v6. This paper outlines its training stack (Atropos, DAPO, Modal), the differences in product form between it and Claude Code, and provides key points for local deployment with Transformers and Ollama. The 67.87% score is the official stated metric, and high scores on algorithm benchmarks do not equate to repository-level Agent capabilities; the open-source weights and complete RL pipeline are the long-term value of this release for developers.
Read MoreAnthropic Releases Opus 5: New Default for Programming Agents, Half the Price of Fable 5 with Comparable Capabilities
On July 24, 2026, Anthropic released Claude Opus 5, making it the default model for Claude Code. Its pricing is the same as that of Opus 4.8, at $5/$25 per million tokens. The official stated that its capabilities are close to those of Fable 5, but the cost is only about half. The model enables adaptive thinking by default, and the effort parameter can be adjusted across five levels. It topped evaluations including Frontier-Bench v0.1 and GDPval-AA, and achieved 96.0% on SWE-bench Verified. On the same day, GitHub Copilot integrated Opus 5, covering multiple terminals such as VS Code and CLI. This article sorts out the evaluation data, key points of API migration, and suggestions for selecting between Opus 5 and Fable 5.
Read MoreThe Two AI Coding Powerhouses in 2026: How Claude Code and Cursor Will Divide Labor
In 2026, a new consensus has formed in the developer community: Claude Code (terminal Agent + Claude Agent SDK) and Cursor (AI IDE) are often used in combination rather than being an either-or choice. Based on official documentation from Anthropic and Cursor, as well as public reviews from Faros.ai, FutureProofing.dev and other sources, this paper compares the differences between the two tools in terms of MCP integration, subagents orchestration, multi-model routing, Bugbot review and token efficiency, proposes a practical division of labor scheme such as "Cursor for daily coding, Claude Code for cross-file refactoring and CI automation", and explains that Claude Code can coexist as an extension of Cursor.
Read MoreClaude Opus 5 Released: 1M-Context Window Becomes Default Flagship Model of Claude Code
On July 24, 2026, Anthropic released Claude Opus 5, which features native 1 million-token context window, default thinking mode, and the same pricing as Opus 4.8. For Claude Code v2.1.219 and above, accounts such as Max/API will parse "Default" as Opus 5, while the default setting for Pro tier remains Sonnet 5. This article sorts out the specifications of Opus 5, Fast Mode and Effort levels, as well as the toolchain updates of Claude Code in July including Subagent background running, nested delegation, /code-review background review and /doctor self-check, and provides step-by-step guides for version checking and model switching.
Read MoreGraphify: An Agent Skill for Translating Code Repositories, Documents and Schemas into Queryable Knowledge Graphs
Graphify, which trended on GitHub Trending in early August 2026, constructs queryable knowledge graphs from code, documents, SQL schemas, PDFs and more via local AST powered by tree-sitter and Leiden community detection, and integrates with Agent tools including Claude Code, Cursor and Codex through the `/graphify Skill`. This article verifies its Trending background and official capability boundaries, makes a comparison with vector RAG, and provides hands-on steps for installation via uv, Skill registration and querying via query/path/explain, to assist with context engineering选型 in large codebase scenarios.
Read MoreAgent Orchestrator: A Parallel Orchestration Platform for IDE to Manage 23 Terminal Coding Agents
Released by Composio as an open-source Agent Orchestrator (AO) in February 2026, this is an orchestration layer for parallel-coding agents: it supports 23 types of terminal agents including Claude Code, Codex and Cursor, adopts Git Worktree isolation by default, and automatically routes CI failures and review comments back to the corresponding sessions. It has gained over 8,700 GitHub stars so far. This paper outlines its workflow, plugin architecture and automatic feedback loop, and explains its complementary relationship with single-agent IDEs.
Read MoreOrca: An ADE Running Five Coding Agents Simultaneously, A New Parallel Orchestration Paradigm with Over 20,000 Stars on GitHub
Orca, an open-source project by Stably AI, was a trending ADE (Agent Development Environment) on GitHub Trending in July 2026. Built on Git Worktree, it provides isolated parallel runtime environments for over 30 CLI Agents including Claude Code, Codex, and OpenCode. It supports one-click Worktree creation from GitHub/Linear tasks, UI context injection via Design Mode point-and-click, as well as SSH remote Worktree. Its GitHub stars exceeded 20,000 in July and continued to rise. This article sorts out the differences between ADE and traditional IDEs, core mechanisms, installation methods and applicable scenarios, to help evaluate multi-agent parallel development solutions.
Read MoreOrca Going Viral on GitHub: Run Claude Code, Codex and Cursor in Parallel in ADE
In July 2026, the open-source project Orca (stablyai/orca) topped the GitHub Trending weekly chart, with its star count exceeding 30,000. Positioned as an Agent Development Environment (ADE) rather than a traditional IDE, it allows running terminal Agents such as Claude Code, Codex, and Cursor CLI in parallel on the same interface. Each Agent uses an independent git worktree to isolate changes, and supports prompt fan-out comparison, Diff annotation review, GitHub/Linear integration, and orchestration via the Orca CLI. Based on official repository and public Trending analysis, this paper sorts out Orca's core mechanisms, functional boundaries, and selection comparisons with herdr and IDE-built-in Agents, providing reference for developers in multi-Agent parallel coding scenarios.
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