todokan-review-loopProcess Todokan task and thought boards with a review-loop workflow. Use when a task enters doing and the agent should pick it up, read latest comments, resp...
Install via ClawdBot CLI:
clawdbot install banatealab/todokan-review-loopGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://todokan.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A customer support team uses Todokan to manage incoming support tickets. When a complex ticket requiring research is assigned to AI, this skill automatically processes it: reads the ticket description and latest customer comments, researches internal knowledge bases via subagents if needed, provides a context-aware response, and moves the ticket to review for agent verification. This ensures timely, consistent replies without manual intervention.
A software development team employs Todokan for agile task management. When a developer marks a coding task as 'doing' and sends it to AI for code review or debugging assistance, this skill analyzes the task requirements and comment history, checks related tasks for dependencies, provides actionable feedback or next steps, and transitions the task to review for final approval, streamlining the development workflow.
A marketing agency uses Todokan to handle content creation tasks such as blog posts or social media updates. When a content brief is sent to AI, this skill reviews the brief and any client feedback in comments, conducts quick research on trends or keywords if necessary, drafts a concise update or response, and moves the task to review for client sign-off, reducing manual follow-ups.
A project management team leverages Todokan to track project milestones. When a project task enters the 'doing' phase and is assigned to AI, this skill reads the task details and latest stakeholder comments, assesses progress against objectives, provides a status update with next actions, and shifts the task to review for team alignment, ensuring transparent communication.
Offer this skill as part of a premium Todokan subscription tier, charging monthly or annual fees per user or team. Revenue is generated from businesses seeking to automate repetitive task management workflows, with pricing based on usage volume or feature access, ensuring recurring income from productivity-focused clients.
License the skill to large enterprises for integration into their internal Todokan deployments, with one-time or annual licensing fees. Revenue comes from custom implementations, support, and training services, targeting organizations that require scalable automation solutions for complex operational processes.
Provide a basic version of the skill for free within Todokan's platform to attract users, then upsell advanced features such as increased automation frequency, priority support, or enhanced analytics. Revenue is driven by conversions to paid plans, leveraging a large user base to monetize power users and teams.
💬 Integration Tip
Ensure the Todokan MCP server is properly configured with API keys and URLs, and test the skill in a sandbox environment to verify task polling and comment handling before deployment.
Scored Apr 19, 2026
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