6-build-instructions
Final step in building instruction context for codebase
Best use case
6-build-instructions is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Final step in building instruction context for codebase
Teams using 6-build-instructions should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/6-build-instructions/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How 6-build-instructions Compares
| Feature / Agent | 6-build-instructions | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Final step in building instruction context for codebase
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
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
---
## Your Output: `{final_output_file}`
This file must include:
---
### 1. **Overview Section**
Explain the purpose of this file:
- It enables AI coding assistants to generate features aligned with the project’s architecture and style.
- It is based only on actual, observed patterns from the codebase — not invented practices.
---
### 2. **File Category Reference**
For each category in `2-file-categorization.json`:
- Explain what it is
- List 1–2 representative file examples
- Summarize key conventions based on its corresponding `5-style-guides/{category}.md`
---
### 3. **Feature Scaffold Guide**
Define how to plan and implement a new feature. Include:
- How to determine which categories of files to create
- Where to place those files
- How to follow naming and structure conventions
- Example: what files to create for a new component, a hook, or an API integration
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).
---
### 4. **Integration Rules**
From `3-architectural-domains.json`, summarize constraints like:
- "All canvas logic must use `useCanvas`"
- "Components must use shared tokens from the design-system"
- "API requests go through `apiClient.ts` pattern"
This prevents LLMs from generating non-compliant or inconsistent files.
---
### 5. **Example Prompt Usage**
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.tsx`
- `src/components/SearchableDropdown.module.css`
- `src/hooks/useSearchableDropdown.ts`
- `src/components/__tests__/SearchableDropdown.test.tsx`
- etc…
Only use categories and file types present in this project.
---
## ⚠️ Requirements
- **Do not** include invented best practices
- **Do not** list categories or conventions that aren’t supported by the codebase
- **Do not** omit any categories or domains defined in the analysis
- Maximum file lines: `{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.
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