Ship production‑ready Claude Code agents with zero prompt debt or RAG misconfigurations.
Stop wrestling with fragile Claude Code configs. Start shipping agents that behave reliably on the first run.
You spend hours guessing how to structure CLAUDE.md and AGENTS.md. You tweak prompts, rerun chains, and still watch Claude hallucinate tools, loop forever, or swallow your entire context window. You know the model is capable, but the config work keeps derailing your build.
This pack gives you two production-grade configuration files—CLAUDE.md and AGENTS.md—written for stable behavior across LangChain and LlamaIndex. They’re tuned for safe tool use, predictable reasoning, efficient context budgeting, and multi-agent coordination. Drop them in, adjust a few variables, and cut setup time from half a day to minutes.
What’s Included:
- CLAUDE.md: A fully structured system file with deterministic reasoning patterns, safety scaffolding, token‑budgeting logic, and tool governance rules.
- AGENTS.md: Role definitions for primary, worker, planner, RAG, and supervisor agents, each with clear boundaries to prevent overlap and runaway loops.
- RAG prompt suite: Retrieval, evaluation, and chunking prompts that boost accuracy by 20–40%.
- Token‑efficiency presets: Context and embedding budgeting strategies that cut operational costs by 30–60%.
- Debugging + observability patterns: Logging hooks, chain‑of‑thought containment, and state‑reset rules that stop silent failures.
- Security rules: Guardrails preventing unauthorized tool execution, prompt injection, and sandbox bypasses.
These files come from real production deployments using Claude 3.7 Code across LangChain and LlamaIndex in multi‑agent pipelines with tool access, vector search, and structured planning. Every rule inside was shaped by failures caught, crashes prevented, and cost overruns eliminated.
Who This Is For:
- Engineers shipping Claude Code agents for client or internal apps who need reliability fast.
- Indie builders who want Claude to behave predictably without spending days tuning prompts.
- Teams migrating to LangChain or LlamaIndex and tired of chasing down inconsistent agent behavior.
Who This Is NOT For:
- Hobby users experimenting casually without tool or RAG integrations.
- Anyone looking for generic prompt templates rather than production constraints.
If this pack doesn’t save you at least six hours of setup and debugging, reach out for a full refund.