
de task-orchestrator177
Turn conversation context into MCP work items: infer type/priority, anchor into containers (Bugs, Features, Tech Debt), create single items or work trees, and p
This skill converts natural-language conversation context into structured MCP work items. It infers a title, type (bug/feature/tech-debt/observation/action), priority, and scope, then scans existing containers to anchor the new item under the correct category. When appropriate it can create a work tree (root + subtasks) and pre-fill required notes using guidance from expectedNotes responses. The skill includes logic to read local config for schema keys and traits to enforce proper item typing.
Use this skill when the conversation surfaces actionable work: bug reports, feature ideas, tech-debt notes, follow-ups, or when the user explicitly asks to "track this", "log this bug", "create a task for", or "add this to the backlog". It is appropriate for agents that manage persistent task tracking and need to map freeform requests into a team's container structure.
Designed for agents integrated with MCP-style task APIs (Claude, Claude Code, Cursor) or any assistant that can call manage_items/manage_notes endpoints.
Cette compétence n'a pas encore été examinée par notre pipeline d'audit automatisé.