Uniscreen Desktop OS V25 (2500u2) has been released as a quality-focused update covering stability, performance, AI features, and domestic ecosystem compatibility, according to IT之家 AI. The release adds anti-freeze recovery and upgrades UOS AI into “小 U 同学,” with claimed support for local knowledge-base search, MCP and Skills access, multi-agent scheduling, queued tasks, natural-language automation, and per-session permission controls.
Apple CEO John Ternus reportedly urged the software team to accelerate Apple’s AI roadmap beyond limited Siri improvements and toward more agentic capabilities. The reports, citing Bloomberg’s Mark Gurman, say the directive may involve a revised iOS 28 development schedule, while Apple has separately added developer tools for iOS 27.3, including expanded App Intents, a modular Skills framework and MCP support in iWork and Creator Studio. 9to5Mac notes that faster agentic development could create significant reliability, privacy and execution risks, and the internal directive and schedule change have not been independently confirmed.
Alibaba Cloud released AgentCore at the 2026 Yunqi Conference as a managed platform for building and governing enterprise agents. Its components include AgentLoop, which records attempts, tool calls and results for later evaluation and reuse, and asset management for Skills, MCP tools, models and agent templates. The platform also handles identity, permissions, state recovery, cost, evaluation and other operational controls. In a deployment example, Full Truck Alliance said at the conference that its stability digital agent could locate causes within one minute and achieve accuracy above 90% in the disclosed major-risk diagnosis scenarios.
qKnow Professional v3.1.5 expands workflow orchestration, supporting calls to existing Agent and workflow resources and unified orchestration of MCP, Skills, and other tools. The release also strengthens MCP metadata queries to retrieve information about data sources, tables, and fields, providing structured context for data queries. A new Text2SQL plugin covers SQL generation, rewriting, error correction, and performance optimization.
What problem it solves
Using Lark/Feishu business capabilities often requires working across many services and API levels, while automation also needs concise interfaces and predictable output. The project addresses these needs with human- and agent-friendly shortcuts, curated API commands, raw endpoint access, and documented agent skills.
Key features
Agent-ready skills — Structured skills cover …
What problem it solves
Managing an Instagram account requires preparing Reels, captions, carousels, stories, profiles, plans, comments, replies, and direct messages while keeping content publishable and consistent with a defined voice. The skills also address weak hooks, truncated captions, stock phrasing, invisible characters, and the difficulty of identifying relevant content without automated s…
What problem it solves
Developers and coding agents need to understand how code is connected before making changes. GitNexus provides a graph-based view of symbols, callers, dependencies and execution flows to support code discovery, impact analysis and refactoring.
Key features
Graph-based code intelligence — Index a codebase as a knowledge graph covering symbols, calls, dependencies and executio…
What problem it solves
Agent memory is often opaque: stored context cannot be easily inspected or understood. OpenViking addresses this by organizing knowledge, memory, and skills in a browsable virtual filesystem, with summaries that help agents identify relevant context before reading full files.
Key features
Unified context filesystem — Knowledge, memory, and skills share one filesystem address…
What problem it solves
Traditional development accumulates technical debt and leaves important knowledge scattered, forcing later changes to rediscover context. The plugin addresses this by turning each engineering cycle into a structured workflow and writing durable learnings into artifacts that subsequent cycles can use as grounding.
Key features
Structured engineering loop — A six-step cycle mo…
What problem it solves
The project provides a structured workflow for market review, risk management, trade planning, journaling, and continuous improvement. It is designed for investors who use long-term investing, ETFs, and dividend stocks as their core, while using disciplined swing trading as a satellite strategy when market conditions are favorable.
Key features
Workflow manifests for routine…
What problem it solves
The hidden system instructions that shape AI product behavior are difficult to inspect and change across models, products, and versions. This repository makes collected prompts available in a structured, product-oriented archive for study and comparison.
Key features
Broad product coverage — The archive covers prompts from major AI providers and products, including Anthropic…
What problem it solves
Managing multiple AI coding assistants often requires switching API providers and editing JSON, TOML, or YAML configuration files by hand. This project centralizes those provider and extension-management tasks in one desktop interface.
Key features
One-click provider switching — Switch between API providers without manually editing each application's configuration files.
Sou…
What problem it solves
Chrome DevTools for agents (`chrome-devtools-mcp`) lets your coding agent (such as Antigravity, Claude, Cursor or Copilot) control and inspect a live Chrome browser. Both give your AI coding assistant access to the full power of Chrome DevTools for reliable automation, in-depth debugging, and performance analysis.
Key features
Browser control and inspection — Give coding age…
What problem it solves
AI agent skills need to be checked for quality, security, duplication, and their actual effect on agent behavior. Static checks alone cannot establish whether guidance improves task results, so evaluation must also support live comparison with and without a skill.
Key features
Three-tier evaluation pipeline — Independent tiers validate skill safety and structure, detect over…
What problem it solves
Appwrite is an MCP and agent-first, open-source platform for building and scaling apps. It gives agents Auth, Databases, Storage, Functions, Messaging, Realtime, and Hosting, all in one place.
Key features
Agent-first access through MCP — Coding agents can work against a live project through the hosted MCP server, using OAuth rather than separately managed API keys.
Source: …
What problem it solves
Relevant discussion is spread across platforms with separate APIs, authentication systems, and content formats, making it difficult for an AI agent to gather and compare them together. Conventional search and general-purpose AI assistants may omit discussions, comments, transcripts, or other first-hand signals found on these platforms.
Key features
Multi-source research — Se…
What problem it solves
Users need a practical way to discover, install, and distribute individual Claude skills across Claude Code and Claude.ai. The repository also provides structured workflows for adding skills, releasing versions, and integrating installation into projects and CI/CD.
Key features
Plugin marketplace installation — Claude Code users can add the repository as a marketplace, brows…
What problem it solves
Developers need a development environment that combines an IDE with terminal multiplexing while remaining accessible across machines. Rune also addresses language tooling, workspace organization, extensibility, and remote development through a connected application and headless mode.
Key features
Connected development workspaces — Rune instances can form an end-to-end encryp…
What problem it solves
A coding-agent run can skip planning, omit tests, review its own work, or stop before completion, making delivery inconsistent and difficult to supervise. Teams need repeatable workflows that separate roles, execute work in sandboxes, preserve review evidence, and require human approval before changes ship.
Key features
Repeatable SOP delivery — Standard operating procedures…
What problem it solves
Codebases need systematic audits and implementation plans, but using an expensive model for routine execution can be inefficient. The skill separates codebase understanding and planning from implementation so execution can be delegated while keeping the plan as the primary output.
Key features
Repository-aware audits — The skill maps the repository's stack, conventions, buil…
What problem it solves
Academic research requires researchers to move through literature work, writing, review, revision, and finalization while preserving the accuracy and integrity of claims. The project addresses this by providing structured skills and an orchestrated pipeline that support research tasks without removing the researcher from important decisions.
Key features
Deep research — Prov…
What problem it solves
Software work often needs several agents to handle independent tasks while preserving clear model routing, file ownership, and verification. It is also important to distinguish work that was planned or reported complete from work supported by observed test, review, or CI results.
Key features
Model routing by work category — Each lane receives a work category, model chain, a…
What problem it solves
AI agents need relevant design context from Figma files to generate code that follows a design system and reflects design intent. This project documents how to connect the Figma MCP server to supported clients, use its tools and skills, and apply practices for more consistent results.
Key features
Connect supported MCP clients — Setup instructions cover the Figma MCP server …
What problem it solves
Coding agents need a structured way to create, manage, and build from Google Stitch designs while integrating with the Stitch MCP server. The project organizes design, code generation, and supporting workflows into skills that can be installed with supported coding agents.
Key features
Design workflows — The design plugin covers converting frontend code into Stitch designs, …
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