cycleDesign custom workflow cycles for any domain. Create structured, repeatable processes that become persistent skills.
Install via ClawdBot CLI:
clawdbot install ivangdavila/cycleGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
A cycle for managing agile sprints, from backlog grooming to deployment. It ensures consistent quality and reduces missed steps like code reviews or testing.
Structures the process from literature review to submission, helping researchers avoid common pitfalls like incomplete data analysis or unclear conclusions.
Guides teams through planning, content creation, audience targeting, and performance analysis to streamline campaign execution and improve ROI.
Defines steps from initial sign-up to product adoption, ensuring users receive consistent training and support to reduce churn rates.
Offer the Cycle skill as a SaaS tool for businesses to design and automate custom workflows. Charge monthly fees based on usage or number of cycles created.
Provide expert services to help clients design and deploy cycles for specific domains like software development or research, charging per project or hourly rates.
Create a platform where users can buy and sell ready-made cycles for common tasks, taking a commission on each transaction to generate revenue.
💬 Integration Tip
Integrate with existing project management tools like Jira or Trello to automate handoffs and track progress seamlessly.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
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Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...