v3.16.0 · no license
Контроль качества 1С-разработки для Claude Code: стандарты, принципы ООП и паттерны, XML метаданных, блокирующие гейты и проверяемый след прогона · Claude Code plugin for 1C:Enterprise (BSL) code quality: development standards, SOLID and design patterns, metadata XML, blocking session gates and a machine-readable evidence trail.
— · Apache-2.0
Local code intelligence MCP server and CLI for AI coding agents
— · Apache-2.0
Use Gemini from Claude Code to review code or delegate tasks.
v6.5.2 · MIT
One command. Full stack. Zero compromise. — All-in-one Claude Code skill with 33 modes, 6-layer security, 23 hooks, and 75% token savings. Works on Codex, Cursor, Manus, Windsurf.
— · no license
Local AI Coding Hub: Run Claude Models Offline in 2026
— · MIT
No description yet.
— · Apache-2.0
Cross-platform toolkit to enhance Claude Code with multi-LLM consensus, 8 specialist agents, semantic knowledge search, and one-command install.
— · MIT
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
— · 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
v0.19.2 · Apache-2.0
🚀 One sentence → your one-person company of AI experts → complete deliverable in minutes. 276 CN + 184 EN + 5 more languages (ko/ru/pt-BR/id/ar) · zero-code YAML · auto-verified acceptance · Web Studio / Desktop / Docker · 15 LLM providers (11 key-free). 一句话组建你的「一人公司」AI 专家团队,几分钟交付完整方案;验收自动核验,网页 / 桌面 / Docker 全渠道。
v0.1.6 · MIT
Open DeepSeek Harness workspace directories in VS Code directly from the web GUI.
v1.0.79 · Apache-2.0
DeepSeek Harness Codex Desktop — 无需预装环境、开箱即用的跨平台桌面客户端 · A ready-to-use cross-platform DeepSeek Harness desktop client with no environment setup
v11.9.6 · MIT
Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship.
v0.9.3 · Apache-2.0
A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.
v0.67.1 · MIT
Workflow control for AI coding agents
— · Apache-2.0
Static analysis for AI agent configs, tool descriptions, and system prompts — catches vague tool descriptions, missing stop conditions, and schema gaps before they reach runtime. Zero-LLM, deterministic checks, built for CI.
— · MIT
The practices that made software work didn't stop working. They stopped keeping up. PAAD brings them back at AI speed.
v9.7.0 · MIT
Your AI can write the UI. This makes sure it writes your UI. A deterministic scanner scores your design system 0-100 against 112 public repos, reads React and web components (Stencil, Lit), hands you a copy-paste fix prompt for each top finding, writes ru
v0.5.4 · MIT
Normify · DSH 插件:把项目架构写成归一化的分形模块树,三层校验(写时 / 校验 / 冻结回执)、30 个 normify_* 工具 + normify-gen 技能,一键渲染单文件交互式架构图;支持伴随式开发(change_open → brief → check → 实施 → refresh → change_close)。
v0.7.15 · Apache-2.0
Official-grade GitHub CI for DeepSeek Harness: composite action (review PRs / fix CI / report), polling PR review bot with idempotent inline comments, a status-check gate, and approval-gated PR/issue/repo/file tools
v0.56.1 · MIT
Autonomous PR CI monitor and review-comment resolver for agentic coding tools
v0.3.0 · MIT
Show the instruction graph your coding agents actually receive.
v9.7.0 · MIT
Your AI can write the UI. This makes sure it writes your UI. A deterministic scanner scores your design system 0-100 against 112 public repos, reads React and web components (Stencil, Lit), hands you a copy-paste fix prompt for each top finding, writes ru
— · Apache-2.0
The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Find what you want without reading the repo, then check you built what you meant — blast radius, tests-to-run, quality deltas. Signatures at 74.7% fewer bytes than bodies; every guess labelled, every loss published. Paddle out with a map.