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Found 8 Skills
Implement feature tasks using AI agents in logical batches, track completion status, identify blockers, and manage task handoffs. Use when you have an execution sequence and need AI agents to build tasks while maintaining progress tracking.
Write technical specifications that give agents enough context to implement features while leaving room for autonomous research and decision-making. Use when planning features, documenting architecture decisions, or creating implementation guides.
Design high-level functional and technical specifications by defining scope, modules, contracts, boundaries, responsibilities, architecture models, constraints, and verification criteria.
Brief description of what this skill does and when to use it. Be specific about capabilities and use cases to help agents decide when to load this skill.
Discover and implement real-world OpenClaw use cases from a curated community collection covering productivity, automation, content creation, and infrastructure.
Compare Nim and Python scripted agent implementations and align behavior. Use when asked to port or ensure parity between Nim and Python.
Set reminders using natural language. Automatically creates one-time cron jobs and logs to markdown.
Implementation guidance for creating individual agents in the Arcanea system with proper structure, capabilities, and integration.