Set and Maintain Project Context

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Use bmad-project-context to set up a repository so AI agents work well in it. It works for a new project or an existing codebase, with or without a BMad install. The output is a small verified block in your AGENTS.md. It asks before it writes; you approve every change.

When to Use This

You are starting AI-assisted work in an existing codebase.
You already wrote an AGENTS.md or CLAUDE.md and want it kept and improved.
You are starting a new project and want your standards followed from the first commit.
You have governance, security, or style rules that agents need to respect.
Agents keep making the same mistake, or the instructions feel stale.

Step 1: Run It

bmad-project-context

Say what you want in plain language — “set up AGENTS.md”, “adopt the AGENTS.md we already have”, “refresh the context”, “audit our context”, “the agent keeps using the wrong test runner” — and the skill routes to setup, adopt, refresh, record, or audit.

Point it at a repo if you are not already in one. If that path points to more than one working tree, it asks which one before writing. If you cannot commit in that tree, it asks before writing there.

Step 2: Tell It What You Bring

It reads what is already there — AGENTS.md, CLAUDE.md, editor rule files, docs — and reports what is good, what looks stale, and what it wants to change. A file you wrote is improved, not thrown away: you see what happens to every instruction, and nothing is deleted without your sign-off.

Then it asks what rules you want followed regardless of what the repo does: governance, security and compliance, coding standards, style guides, frozen areas. Bring outside documents too — org handbooks, wiki exports, an MCP knowledgebase.

For a new project, that conversation is the whole content. For an existing codebase, it is the part a scan cannot find.

Step 3: It Verifies the Rest

It checks every path a line names, and reads your package.json, Makefile, and CI config — not to copy the scripts, since an agent reads those directly, but to know what they already answer so the block adds only the right commands to use, the corrections, and the caveats.

Then it asks what no scan could answer: what agents keep getting wrong here, what is off limits, what a domain term means, and which commands come with a catch.

Step 4: Approve the Block

You see the complete block before anything is written. On approval it is written between the  and  markers in AGENTS.md at the repo root. For a tool that reads a different file, such as Claude Code’s CLAUDE.md, the skill proposes and verifies a one-line @AGENTS.md import for the tools you use. Everything outside those markers is left unchanged, and no later run touches it.

It never commits. Changes stay in your working tree for you to review.

At the end it tells you what went in, what was left out, and why.

Keep It Healthy

Refresh after real change. It re-checks the caveats, diffs deletions and renames since the recorded commit, updates what moved, and never re-asks what you already settled.
Record the moment an agent gets something wrong. A pitfall goes in only when someone has seen the mistake. A scan finding that looks like a trap becomes a question, not a line.
Audit on demand. It re-checks and cuts; the block ends smaller or equal, never larger.

A rule stays until what it is about is gone, or you retire it. “Nothing broke lately” is never a reason to delete one — a working rule erases the evidence that it is still needed.

What Earns a Line

The block holds only what is expensive to rediscover, or that the agent learns only after it has already gone wrong. Repo overviews, directory trees, and tech-stack lists never enter: agents read code better than prose about code, and the copy goes stale. What earns a line is what the code cannot say:

Policy the org requires — frozen paths, generated files, branch rules, security and compliance.
What a config file cannot say about running the project — the catch, and which command is the right one to use. pnpm test is already in package.json; that the suite takes eleven minutes, or needs a service running first, is not.
Conventions that differ from ecosystem defaults, because an agent follows the norm unless told otherwise.
Observed pitfalls — a recorded lesson, the maintainer’s recollection, a mistake fixed repeatedly in git history, or one the writing session made and caught.
Cross-component rules and required versions — rules that must hold across parts of the system an agent cannot see from the file it is editing, and the tool versions the project actually builds with.
Pointers to where work lands, and to nested or linked files worth reading first.

Every rule the skill applies is in its references/best-practices.md. It uses that file to judge what you already have and to explain its reasoning. For why the block is kept this small, see The Theory of Project Context.

The Intents

Intent	Use it when
Setup	The repo has no instructions worth preserving.
Adopt	You already wrote instructions and want them kept and improved.
Refresh	The code changed since the block was written.
Record	An agent just made a mistake worth writing down.
Audit	The block feels stale or bloated.

Where the File Lives

Monorepo components and nested repositories get their own file under the same rules, listed as pointers in the parent. A large rule set that only applies to one directory can move into an AGENTS.md in that directory — but only after checking that the tools you use actually read it there. If they do not, the rules stay in the root file, each naming the directory it applies to.

Commit what the skill writes. The team shares it, and it is versioned with the code it constrains. Rules that repeat across every project, or that are your personal preferences, belong in your agent’s global configuration instead.

Hand-Off to Architecture

Make design decisions in bmad-architecture. If a decision has real tradeoffs and more than one viable shape, the skill tells you to run bmad-architecture instead of choosing for you. See Design UX and Architecture.