General
orient_bug_task_incorporation - Claude MCP Skill
Orient: Bug Task Incorporation
SEO Guide: Enhance your AI agent with the orient_bug_task_incorporation tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to orient: bug task incorporation... Download and configure this skill to unlock new capabilities for your AI workflow.
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SKILL.md# Orient: Bug Task Incorporation ## R10: Analyze Bug from Task File Study the bug description from the task file: - What are the symptoms? (observable incorrect behavior) - What is the root cause? (underlying issue) - What functionality is affected? - What are the reproduction steps? - What is the expected vs actual behavior? - What is the impact and severity? ## 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 edge cases documented? - How are error conditions described? ## R13: Determine How Spec Should Be Adjusted to Drive Bug Fix Based on the bug analysis and spec patterns, determine: - Which spec files are affected by this bug? - What acceptance criteria are missing or incorrect? - What edge cases need to be added? - What clarifications are needed in existing specs? - What error handling needs to be specified? - Should this expose gaps in the spec structure itself? ## R14: If Draft Plan Exists - Critique It If a draft plan file exists from a previous iteration: - Is it complete? (covers all spec adjustments needed) - Is it accurate? (correctly identifies the spec gaps) - Are priorities correct? (most critical adjustments first) - Is it clear? (tasks are well-defined and actionable) - What needs to be adjusted? ## R15: Identify Tasks Needed Based on the spec adjustment strategy, identify: - What acceptance criteria need to be added or corrected? - What edge cases need to be documented? - What error conditions need to be specified? - What clarifications need to be made? - What examples need to be added to prevent regression? - What data structure constraints need to be tightened? Break down into discrete, implementable tasks.
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- 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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