— · MIT
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
— · Apache-2.0
Import Figma content into a HyperFrames composition — rendered assets, brand tokens, components, storyboard sections → reconstructed motion (frames read as states, not slides) (REST/CLI), connector-assisted motion when available, and shaders from a connector or native export. Use when the user paste
— · MIT
Let AI agents use your real, logged-in browser without interrupting your work. CLI + extension for browser automation across any shell-capable AI agent.
v0.21.4 · MIT
The most accurate, cheapest and fastest memory for coding agents: searchable session history from Claude Code, Codex, Cursor and 32 more agents, already on your disk. No LLM, one Go binary.
v0.3.1 · Apache-2.0
ClearAI is a native DSH plugin that brings the Epistemic Loop to DeepSeek Harness.
v0.1.0 · MIT
Multi-model council for DeepSeek Harness: independent answers, anonymous peer reviews, and an inspectable final decision.
v1.6.6 · Apache-2.0
DSH (DeepSeek Harness) Web GUI AI image generation plugin: text-to-image & image-to-image via OpenAI-compatible endpoints (gpt-image-2), with shared cross-device history.
v0.3.1 · MIT
Shared real browser plugin for DeepSeek Harness
v0.5.34 · MIT
DSH plugin - framework upgrade safety & plugin gating: contract pre-check, rollback point, auto-rollback on failure, evidence-based auto-disable; plus a multi-source plugin market. Unofficial. | DSH 插件:框架升级安全 + 插件门控——升级前契约预检、回滚点、失败自动回滚、有确证证据才自动禁用;另带多源插件市场。非官方社区项目。
— · MIT
UI/UX system for Claude Code: 71 plugins, 93 agents, 74 skills. Design mastery, archetypal design, accessibility, and frontend workflows in one validated plugin marketplace.
— · MIT
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
v1.2.0 · MIT
飞书审批:查询和处理审批待办/已办/实例,搜索可发起审批定义、查看定义详情并发起原生审批实例。当用户要处理审批任务、查看审批实例、搜索或发起审批时使用。审批待办不是飞书任务;非审批类待办走 lark-task。不负责创建审批定义;三方审批定义不走原生提单。
v0.1.21 · no license
基于 Jingyun Studio + DeepSeek Harness (DSH) 打造的一站式 AI 商业化桌面客户端,一个将 AI 智能体 / 技能 / 工作流转化为可交易商品的完整商业化平台客户端。 井云为 DSH 注入了完整的商业闭环:登录注册 → 会员体系 → 订阅支付 → 云端资产 → 多端同步,让 AI 开发者 30 分钟内将自己的智能体封装为独立的商业产品。
v0.7.9 · Apache-2.0
Claude Code-style declarative permission rules for DeepSeek Harness: ordered allow/deny/ask rules with tool-name, argument (glob/regex), and workspace-path matching on the tools/pre-execute waterfall, session-log audit, and HMR reload.
v0.22.3 · MIT
Lightweight Codex/Claude loop harness with strict evidence gates.
v2.9.33 · MIT
MCP server for Apple Notes - read, search, create, edit, organize, and export notes on macOS via Claude and other AI assistants
— · Apache-2.0
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent t
— · MIT
Assess and improve the reliability posture of PaaS Applications (Azure Functions and Azure App Service). Scans deployed resources for zone redundancy, ZRS storage, health probes, and multi-region failover. Presents a feature-pivoted checklist, then drives staged remediation (CLI or IaC patches) end-
v0.6.2 · MIT
deepseek-harness for vscode .A native VS Code coding-agent extension for DeepSeek Harness. Streamlined workbench with session management, streaming Markdown, slash commands, plugin center, and zero-deployment runtime — no WebUI served, no Harness setup
— · MIT
EPLAN Electric P8 2026 2027 + AI: MCP servers, docs RAG, and a Claude Code skill for EPLAN scripting/API development. EEC PRO RAG
v1.0.0 · Apache-2.0
Currents MCP server
— · Apache-2.0
This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle and coding guidelin
— · Apache-2.0
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Agent Platform eval methodology and the Quality Flywheel. Covers ev
— · Apache-2.0
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or binding an agent to an Agent Gateway. Covers deployment workflows,