General
orient_build - Claude MCP Skill
Orient: Build
SEO Guide: Enhance your AI agent with the orient_build tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to orient: build... Download and configure this skill to unlock new capabilities for your AI workflow.
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SKILL.md# Orient: Build ## R5: Understand Task Requirements Study the task from work tracking: - What is the specific deliverable? - What are the acceptance criteria? - What specs define this functionality? - What are the constraints and dependencies? - What is the scope? (what's in, what's out) - What does "done" look like? ## R6: Search Codebase - Don't Assume Not Implemented **Critical: This is the Achilles' heel.** Before implementing anything, search thoroughly: - Search for function/class/method names related to the task - Search for keywords from the task description - Search for related functionality that might already exist - Check file trees and symbols for relevant modules - Look for partial implementations or stubs - Verify assumptions empirically Don't assume not implemented. Search first. ## R7: Identify What Needs to Be Built/Modified Based on task requirements and codebase search: - What files need to be created? - What files need to be modified? - What functions/classes/methods need to be added? - What existing code needs to be refactored? - What integration points exist? - What dependencies need to be added? - What can be reused vs built new? ## R8: Determine Test Strategy Plan how to verify the implementation: - What tests need to be written? - What existing tests need to be updated? - What test data is needed? - What edge cases must be covered? - What integration tests are required? - How will acceptance criteria be verified? - What manual verification steps are needed?
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Information
- Repository
- jomadu/ai-resource-manager
- Author
- jomadu
- Last Sync
- 3/12/2026
- Repo Updated
- 2/6/2026
- Created
- 2/6/2026
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