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Meet Agentbriefer

Agentbriefer is a command-line tool that gives AI coding agents a consistent, project-specific operating brief. You describe how work should be approached once in agentbriefer.yaml; Agentbriefer turns that configuration into the instruction files Claude Code, AGENTS.md-compatible tools, Cursor, and GitHub Copilot already understand.

agentbriefer.yaml

Agentbriefer renderer + installed skills

CLAUDE.md · AGENTS.md · Cursor rules · Copilot instructions

The problem it solves

AI agents can be productive and still behave inconsistently. One session may make a focused change; another may add dependencies, refactor unrelated code, or continue beyond the requested scope. Repeating the same expectations in every prompt is tedious, easy to forget, and difficult to share with a team.

Agentbriefer makes those expectations explicit and reviewable:

  • how much architecture the agent should introduce;
  • when dependencies require an explanation or approval;
  • how security-sensitive changes should be treated;
  • how much testing is expected;
  • how detailed explanations should be;
  • when the agent must stop and ask;
  • which focused skills apply to the project.

When Agentbriefer is useful

  • One developer, several tools: keep Claude Code, Cursor, and Copilot aligned.
  • A shared repository: review agent policy like any other project configuration.
  • Security-sensitive work: make conservative auth, secret, permission, and validation behavior explicit.
  • A mixed-experience team: choose learning-focused or concise explanations without rewriting prompts.
  • Repeated project setup: reuse developer profiles and named skill sets.
  • Existing handwritten guidance: use sync to preserve content outside Agentbriefer's managed block.

What it is not

Agentbriefer does not run an autonomous agent, execute prompts, create pull requests, store cloud memory, or replace your coding assistant. It prepares the repository-level context those assistants consume.

The shortest mental model 💡

Agentbriefer is a compiler for agent instructions: YAML and bundled skills go in; tool-specific Markdown and rules files come out.

Continue

Start with Installation, follow the Quick start, or read How it works for the full data flow.