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orient_story_task_incorporation - Claude MCP Skill
Orient: Story Task Incorporation
SEO Guide: Enhance your AI agent with the orient_story_task_incorporation tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to orient: story task incorporation... Download and configure this skill to unlock new capabilities for your AI workflow.
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SKILL.md# Orient: Story Task Incorporation ## R9: Analyze Story from Task File Study the story description from the task file: - What is the scope of this feature? - What are the core requirements? - What integration points exist with current system? - What user outcomes does this enable? - What are the acceptance criteria? ## R11: Understand Existing Spec Structure and Patterns Study the specifications to understand: - How are specs currently organized? (by JTBD, by component, by feature) - What patterns do existing specs follow? - What level of detail is typical? - How are acceptance criteria expressed? - How are data structures documented? - How are algorithms described? ## R12: Determine How Story Should Be Incorporated Based on the story analysis and spec patterns, determine: - Should this create new spec files? (new JTBD or topic of concern) - Should this update existing specs? (extends current functionality) - Should this refactor specs? (changes how existing specs are organized) - Which specific spec files are affected? - What sections need to be added or modified? ## R14: If Draft Plan Exists - Critique It If a draft plan file exists from a previous iteration: - Is it complete? (covers all aspects of the story) - Is it accurate? (correctly understands the story requirements) - Are priorities correct? (most important work first) - Is it clear? (tasks are well-defined and actionable) - What needs to be adjusted? ## R15: Identify Tasks Needed Based on the incorporation strategy, identify: - What spec files need to be created? - What spec files need to be updated? - What sections need to be added? - What acceptance criteria need to be defined? - What data structures need to be documented? - What algorithms need to be described? - What examples need to be provided? Break down into discrete, implementable tasks.
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Information
- Repository
- jomadu/ai-resource-manager
- Author
- jomadu
- Last Sync
- 5/10/2026
- Repo Updated
- 4/25/2026
- Created
- 2/6/2026
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