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RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.
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316 skills found
RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Leverage the Figma MCP server to fetch design data, extract assets, and transform Figma nodes into production-ready React and Tailwind code with design system alignment.
Enables cross-session context persistence for Claude Code, managing history, project decisions, and workflow patterns to ensure seamless task continuation.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
Pre-execution security guardrails for AI agents. Validates shell commands and file reads against 400+ security patterns to block destructive operations, credential theft, and unauthorized system access.
A template skill for creating project-specific AI agent guidelines, defining architecture, file structures, and code patterns for deterministic development.
Execute z.AI CLI for multimodal analysis, web search, reader, and GitHub repo exploration via CLI and MCP.
Automates finalization validation for project workflows by enforcing git compliance, documentation standards, and deployment readiness.
Automated API documentation engine that generates and updates OpenAPI specs and Markdown from code changes.
Local hybrid search engine for markdown notes, documentation, and codebase knowledge bases to reduce token consumption and improve retrieval efficiency.
Audit outbound network requests and detect data exfiltration patterns in OpenClaw skills to ensure secure outbound communication.