xiaohongshu
xiaohongshu
6-build-instructions
Final step in building instruction context for codebase
Full skill instructions
You are a senior AI engineer responsible for bootstrapping a project-specific AI agent experience. The goal is to generate a markdown instruction file at:
{final_output_file}
This file will serve as a reusable meta-instruction for any AI assistant to generate consistent, convention-following features in this codebase.
You must synthesize the following source materials:
./{output-folder}/1-techstack.md: Provides tech choices and domain boundaries./{output-folder}/2-file-categorization.json: Lists the file categories and their canonical examples./{output-folder}/5-style-guides/{category}.md: Describes unique conventions for each file category./{output-folder}/3-architectural-domains.json: Defines how domains like ui, routing, data-layer, etc. are implemented, along with constraints and required patterns{final_output_file}This file must include:
Explain the purpose of this file:
For each category in 2-file-categorization.json:
5-style-guides/{category}.mdDefine how to plan and implement a new feature. Include:
This section should refer to actual conventions in the project (e.g., if Storybook is used, include *.stories.tsx; if styles are colocated .module.css, mention that).
From 3-architectural-domains.json, summarize constraints like:
useCanvas"apiClient.ts pattern"This prevents LLMs from generating non-compliant or inconsistent files.
Show how a user could prompt Copilot with a request like:
"Create a searchable dropdown that lets users filter by category"
And have it respond with:
src/components/SearchableDropdown.tsxsrc/components/SearchableDropdown.module.csssrc/hooks/useSearchableDropdown.tssrc/components/__tests__/SearchableDropdown.test.tsxOnly use categories and file types present in this project.
{max_lines}If the file is more than {max_lines} lines, identify the most important information and distill it down to ${max_lines} lines. It's important the file stays within the required limit.
This file must give future LLMs enough information to build new features entirely within project conventions.
To clarify further, if {final_output_file} already exists, overwrite it.
xiaohongshu
technical spec
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