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Source-backed rules for requiring coding agents to provide fresh, scoped, and reviewer-visible test evidence before a pull request can be approved or merged.

MIT-licensed CDP browser-control harness from Browser Use that lets Claude Code, Codex, and other coding agents connect to a real or cloud Chrome browser, use screenshots and coordinate clicks, edit task-specific helpers, and optionally learn reusable domain skills for web automation workflows.

Google Agents CLI skill suite for coding agents that build, scaffold, evaluate, deploy, publish, and observe ADK agents on Gemini Enterprise Agent Platform, Agent Runtime, Cloud Run, GKE, and Google Cloud.

Agent Skills and plugin packs for Google Stitch design workflows, including code-to-design, design generation, design-system extraction, React and React Native conversion, shadcn/ui guidance, Remotion walkthroughs, and prompt enhancement.

Microsoft-maintained Agent Skills, plugins, custom agents, AGENTS.md templates, and MCP configurations for Azure SDKs, Microsoft Foundry, Microsoft 365 Agents SDK, Copilot SDK, MCP server building, and cloud solution work.

MIT-licensed Agent Skill for persistent file-based planning across Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Hermes Agent, OpenClaw, Kiro, and other SKILL.md-compatible coding agents, with task_plan.md, findings.md, progress.md, hooks, session recovery, attestation, and opt-in long-running run modes.

Open-source terminal AI coding agent from Qwen with Auto-Memory, Auto-Skills, SubAgents, Agent Teams, dynamic workflows, MCP support, multi-provider model routing, IDE plugins, desktop app, daemon mode, SDKs, IM bots, sandboxing, and worktree-aware coding workflows.

MIT-licensed skill and plugin framework by Jesse Vincent for Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and other AI coding agents, covering brainstorming, planning, TDD, systematic debugging, subagent-driven development, code review, git worktrees, and finish-the-branch workflows.

Open-source workflow engine for AI coding agents that runs YAML-defined development processes with deterministic phases, isolated git worktrees, validation gates, and integration with Claude Code and other AI assistants.

MCP server that turns an AI coding agent's plan into a local interactive flowchart, approval workflow, execution tracker, branch selector, and plan history before code changes proceed.

Terminal-based agentic AI coding assistant from Charm that works with many LLM providers, uses LSP and MCP for context, manages per-project sessions, and asks permission before running tools by default.

Local-first persistent memory MCP server for AI coding agents, backed by a single Go binary, SQLite, FTS5 search, CLI, HTTP API, and TUI.

Framelink MCP server that gives AI coding agents simplified Figma layout, styling, and design context for implementing Figma frames in code.

Local-first context compression MCP server for reducing tool outputs, logs, files, RAG chunks, and agent context before they reach the model.

Open-source project behind CodeLayer, an IDE for orchestrating AI coding agents built on Claude Code, with keyboard-first workflows, team context engineering, and parallel Claude Code sessions across worktrees and cloud workers.

Open-source framework for building internal coding agents that accept tasks via Slack, Linear, or GitHub, execute code changes in isolated cloud sandboxes, and open draft pull requests automatically.

Lightweight, open-source coding agent from OpenAI that runs in your terminal, edits and runs code locally with configurable sandbox and approval modes, and authenticates with a ChatGPT plan or API key.

Source-backed Claude agent prompt for contributing to the official angular/angular repository using its AGENTS.md guidance for pnpm, Bazel test targets, coding standards, commit guidelines, zoneless tests, async stability, and PR handling.

Source-backed Claude agent prompt for contributing to the official prisma/prisma monorepo using its AGENTS.md guidance, pnpm workspace commands, package-filtered tests, database fixture expectations, Prisma 7 architecture notes, and contributor safety rules.

MIT-licensed command-line software-engineering agent for local coding tasks, GitHub issue fixing, trajectory inspection, and SWE-bench style evaluation.

AI-driven software development platform with a local GUI, CLI, Software Agent SDK, agent sandboxes, terminal/browser tools, and hosted cloud options.

Local CLI for analyzing Claude Code and other coding-agent token usage, costs, sessions, and billing-window activity from local usage data.

Terminal-first AI coding agent for local development workflows, codebase edits, and model-flexible automation.

Source-backed rules for reviewing AI-generated code that renders untrusted data into HTML, JavaScript, URLs, or CSS before merge for cross-site scripting risk, covering context-correct output encoding, dangerous DOM sinks, HTML sanitization, and Content-Security-Policy as defense in depth.

Connect Claude Code, Cursor, Codex, VS Code, Gemini CLI, Copilot CLI, and other MCP clients to LiveKit's free documentation MCP server for current realtime voice AI, WebRTC, SDK, CLI, and agent implementation context.

A maintainer guide for securing agentic coding workflows in open-source repositories: version-controlled MCP configs, permission defaults, contributor PR review for AI-generated changes, hooks, sandbox boundaries, and public disclosure hygiene.

Configure Claude Code statuslines for workflow visibility: model identity, context usage, git branch, session mode, and custom metrics so maintainers see agent state at a glance without leaving the terminal.

Create Claude Code output styles for product management, support, and writing workflows. Omit keep-coding-instructions when coding behavior is not needed.

Enable Claude Code bash sandboxing for autonomous agents: filesystem and network boundaries, auto-allow rules, dependency checks, and fail-closed settings.

A practical Claude Code guide for using output styles, keeping software engineering behavior intact, choosing the right settings scope, and avoiding durable-instruction drift.