Create execution-ready Radar ToDos in SwarmAI with linked context and next steps.
npx skills add https://github.com/xg-gh-25/SwarmAI --skill radar-todo
Please help me install this Agent Skill. Skill: radar-todo Source: https://github.com/xg-gh-25/SwarmAI/tree/main/backend/skills/s_radar-todo Command: npx skills add https://github.com/xg-gh-25/SwarmAI --skill radar-todo
Radar ToDos tend to be scattered and hard to act on within long conversations. This skill centralizes creation, editing, and execution of ToDos as self-contained work packets that agents can drag into chats and start work immediately.
Create a Radar ToDo by running the add command with a concrete next-step.
High-intent search queries and answers about installing and using this skill.
To create task management ToDos with context, encapsulate files, design_docs, commits, and next_step instructions into self-contained work packets stored in SQLite. This allows agents to retrieve execution-ready tasks immediately without losing conversation state.
Storing Radar ToDos in a SQLite database centralizes task data in ~/.swarm-ai/data.db, preventing ToDos from becoming scattered and hard to act on during long conversations. It exposes structured outputs with linked_context for immediate agent execution.
Yes, you can proactively generate ToDos from detected blockers or actionable items in SwarmAI sessions. This prevents work stalls by automatically capturing context and next steps into self-contained work packets for agents.
You can include contextual fields such as files, design_docs, commits, sessions, and memory_refs in a Radar ToDo work packet. These fields ensure the task contains all necessary context alongside the next_step and acceptance criteria.
The best way to update and complete SwarmAI Radar ToDos is by executing commands that modify work packets directly in the SQLite database. This ensures the linked_context and next_step data remain synchronized for both human and machine outputs.
No external dependencies are required to manage task-management packets in SQLite. The skill operates independently using scripts to handle adding, listing, updating, completing, and deleting ToDos stored locally in ~/.swarm-ai/data.db.
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