Ai Context Templates
Description
Free CLAUDE.md, Cursor rules, and PRP templates that make AI coding assistants actually useful
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
AI Context Engineering Templates
**π [Live Landing Page](https://mrdwarf7.github.io/ai-context-templates/)**
Your AI coding assistant is only as good as the context you give it. These templates fix that.
The models aren't dumb. They just don't know your project's conventions, your weird edge cases, or that one file you never touch. Context engineering solves that gap. Developers who nail it ship faster. Everyone else spends 30 minutes correcting AI output that "technically works" but looks nothing like their codebase.
These templates are free. Use them, fork them, make them yours.
Free Templates
| Template | What it does |
|---|---|
| CLAUDE.md Starter | Drop-in project context file. Every section explained. |
| Cursor Rules Basic | The .cursorrules template you'll actually customize. |
| PRP: Feature Template | Write a prompt that gets 90%+ accuracy on first try. |
Premium Bundle β $19
Five paid packs that go deeper:
- Cursor Rules Complete Bundle β 3 .cursor/rules/*.mdc files with glob-based activation. Different rules for API routes, database files, and tests. Auto-applied per file type.
- PRP Template Library β Feature, Bug Fix, Refactor, and Integration prompts. Pre-built sections for error handling, API integration, and rollback.
- Multi-Agent Config Pack β Templates for running parallel AI agents on the same codebase without stepping on each other.
- AGENTS.md Template β The emerging standard for repos that want agents to understand their project structure.
- CLAUDE.md Advanced β Architecture patterns, testing conventions, gotchas, CI/CD rules. 10+ sections beyond the free version.
**β [Get the Premium Bundle](#)** *(link coming when Gumroad is live)*
Why This Matters
57% of enterprises run AI coding agents in production (LangChain 2026). The ones getting real results aren't using better m
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