Search results for "planning"
Plugin suite + bundled MCP servers for Claude Code. Full delivery lifecycle: Agile pipeline with multi-model AI review, project bootstrap, documentation generation, codebase audits, performance optimi
Convoke extends BMAD Method AI agents with two types of installable modules: Teams bring new agents for a domain, Skills add new capabilities to existing agents. Install them independently or combine
Agentic prompts are the most important code you're not engineering. PromptKit fixes that — composable, version-controlled prompt components (personas, protocols, formats, templates) that snap together
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
MCP server that saves Claude Code tokens by delegating bounded tasks to local or cloud LLMs. Works with LM Studio, Ollama, vLLM, DeepSeek, Groq, Cerebras.
AI agent skills for Wednesday Solutions — git discipline, PR triage, terminal dashboard, and greenfield planning.
AIGNE DocSmith is a powerful, AI-driven documentation generation tool built on the AIGNE Framework. It automates the creation of detailed, structured, and multi-language documentation directly from yo
🛠️ 最实用的 Claude Code Skills 合集 | 精选 100+ | 18个原创可安装技能 | 按场景分类 | 复制即装
The Ultimate Claude Code Toolkit — 127 skills, 86 agents, 109 marketplace repos (11,700+ community skills), 30 commands, 8 hooks, GSD framework. Drop-in ~/.claude config that auto-activates the right
Local-first AI agent memory — one command, 13+ IDEs, works offline. Persistent memory for Claude Code, Cursor, Windsurf, OpenClaw. Zero-code interceptors for OpenAI/Anthropic. Python & TypeScript SDKs
Local-first AI agent bootstrap: Playwright Browser MCP + ContextDB for Codex CLI, Claude Code, Gemini CLI, and OpenCode.
Open-source AI agent - any LLM, any MCP server, any channel. Self-hosted, autonomous, multi-tenant.
Self-evolving Claude Code wrapper — handles any computer work a human can do. 94+ skills, 14 agents, computer use, self-improvement.
The open, vendor-neutral protocol for governing the lifecycle of AI agent systems. Standardizes planning, coordination, execution, confirmation, and traceability across multi-agent runtimes and tools
