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iamfakeguruEnhance AI agent performance with production-grade directives
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Summary
This project provides production-grade agent directives for Claude Code, addressing its inherent structural limitations and enhancing reliability. Targeting developers using Claude Code, it offers refined patterns derived from real-world logs and Anthropic's internal practices to prevent predictable failures and improve code generation accuracy.
How It Works
The core approach uses CLAUDE.md as an enhanced system prompt for Claude Code, overriding critical bottlenecks like context compaction, file read limits (2,000 lines), tool result truncation (2,000 bytes), and default prompt bias. It integrates advanced patterns such as spec-based development, sub-agent execution, file system state management, prompt caching, and self-improving error prevention, mirroring Anthropic's internal techniques for more robust agent behavior.
Quick Start & Requirements
Place CLAUDE.md in your project root via curl -o CLAUDE.md https://raw.githubusercontent.com/iamfakeguru/claude-md/main/CLAUDE.md or by cloning and copying. Requires the Claude Code environment. A technical breakdown is available at x.com/iamfakeguru/status/2038965567269249484.
Highlighted Details
.claude/rules/*.md for specialized contexts.~/.claude/settings.json for actions like auto-formatting code (e.g., black for Python)..cursorrules), and compatible with other agents.Maintenance & Community
Context built by @fakeguru, with @OpenServAI as advisor. No other community channels or maintenance details are provided.
Licensing & Compatibility
Released under the MIT license, which is permissive for commercial use and integration into closed-source projects.
Limitations & Caveats
Effectiveness depends on the underlying Claude Code platform and its inherent limitations. The "reverse-engineered" nature of some directives may require future adjustments. It configures Claude Code's behavior rather than altering its core architecture.
2 days ago
Inactive