context-file-tuneup

name	context-file-tuneup
description	Audit, rewrite, and tighten a CLAUDE.md / AGENTS.md file so it actually helps a coding agent instead of bloating its context. Handles repos that use either file name, both names, nested AGENTS.md files, or one file symlinked/aliased to the other. Use this skill whenever the user wants to review, clean up, fix, shrink, restructure, or improve a CLAUDE.md / AGENTS.md file

Context File Tune-up

A CLAUDE.md or AGENTS.md file is loaded into an agent's context on every task. Different agents and repos use different filenames, and some repos keep one as a symlink or compatibility alias to the other. Treat them as the same class of file: high-leverage repo instructions for coding agents. A good one silently prevents whole classes of mistakes; a bloated or vague one wastes the context budget and gets ignored. This skill audits the target context file against a known-good structure, derives what it should contain by inspecting the repo, proposes a full rewrite, and applies it only after the user confirms.

The core loop is inspect → audit → propose → confirm → apply. Never skip the confirm step — this file encodes human judgment about a codebase, so the user gets the final say before anything is written.

What "good" looks like

Internalize this target before auditing anything. A great context file is short, specific, and verifiable. The enemy is generic advice the model already knows ("write clean code", "follow best practices") — it costs tokens and teaches nothing.

Hard length budget: ~300 lines. If the content genuinely needs more, that is a signal to extract a rules/ directory and leave behind a router — a few lines in the main file telling the agent which rule file to read for which task (see "The rules-router pattern" below). A 1,000-line CLAUDE.md is worse than useless; the agent skims it.

Ideal section order (omit any section that has nothing real to say — empty scaffolding is noise):

1. One-liner — what the project is and its motivation/direction, in a sentence or two. Orients everything else.
2. Non-obvious tooling / settings / version quirks — the package manager that isn't the default, the required env var, the Node version that breaks the build, the lockfile that must not be regenerated.
3. Concise architectural map — only what isn't obvious and would otherwise take reading several files to discover. Where the entry point is, how the major pieces talk, where the surprising boundary sits. Not a file-by-file tour.
4. Rules with verifiable instructions — each rule should be checkable. "Parameterize all SQL" not "write safe database code". "Run pnpm typecheck before committing" not "make sure types are correct".
5. Hard constraints / anti-patterns — the bright lines. "Never edit files in generated/." "Do not add dependencies without asking." "Never call the prod API from tests."
6. Pointers to deeper docs — link out instead of inlining. See docs/deployment.md for the release process.
7. Gotchas / tribal knowledge — the load-bearing weirdness. "The retry logic looks broken but is intentional — see PR #123." "utils/legacy.ts is dead code we can't delete yet because of X." This is the highest-value, hardest-to-recover content and almost never lives in the code itself.

A line earns its place only if it changes what the agent does. If removing a line would not cause a single mistake, it is probably noise.

Workflow

Step 1 — Locate, classify, and read the target

Find the target context file before auditing. If the user named a path, use that path. Otherwise check the repo root and common locations:

• AGENTS.md
• CLAUDE.md
• .claude/CLAUDE.md
• nested AGENTS.md files when the user is asking about a subproject or directory-specific context

When more than one candidate exists, identify the relationship instead of guessing:

• Run a symlink-aware check such as ls -l <path> or test -L <path> for each candidate.
• If one file is a symlink to the other, treat the real target as the source of truth. Say so in the audit and avoid editing both paths separately.
• If both files are regular files, compare their purpose. AGENTS.md is often repo-agent routing while CLAUDE.md may be Claude-specific compatibility, but do not assume that without reading them.
• If a nested AGENTS.md applies to the user's requested subdirectory, audit it together with the nearest parent/root context file so the rewrite preserves the routing relationship.

Read the full target file after resolving symlinks and hierarchy. Count its lines — you will reference the number in the audit. Also note the target type in your audit: AGENTS.md, CLAUDE.md, nested AGENTS.md, symlinked alias, or multiple independent context files.

Step 2 — Inspect the repo for ground truth

Do not audit in a vacuum. Spend a few minutes deriving what the file should contain so you can spot what's missing, stale, or wrong. Cheap, high-signal things to check:

• Manifests / lockfiles — package.json, pyproject.toml, Cargo.toml, go.mod, Gemfile. Reveal the real package manager, scripts (test/lint/build/typecheck), language version, and key dependencies.
• Tooling config — Makefile, justfile, .tool-versions, .nvmrc, CI workflows in .github/workflows/. CI is gold: it shows the actually enforced checks, which are the rules worth stating.
• Structure — top-level directory layout (2 levels deep is plenty). Identify the entry point and the major modules.
• Existing docs — a docs/ folder, README.md, CONTRIBUTING.md. These are pointer targets, and sometimes content has been duplicated into the context file that should just be a link.
• Tribal-knowledge signals — gotchas usually aren't in the manifest, but they leave fingerprints in the repo. Grep code comments for markers like HACK, XXX, FIXME, do not remove, do not edit, load-bearing, intentional, workaround, gotcha. Skim recent git history (git log --oneline -50) and look for commit messages or PR references that explain surprising decisions ("revert", "actually needed", "fixes flaky"). These are candidates for the gotchas section — surface them in the audit rather than inventing gotchas from nothing.

Note discrepancies as you go: scripts the file mentions that don't exist, a Node version that disagrees with .nvmrc, rules that contradict the CI config.

Keep this proportional. A quick scan is the goal, not an exhaustive code review. If the repo is huge, sample the most relevant areas rather than reading everything.

Step 3 — Produce the audit

Present a structured audit before proposing any change. Lead with the headline numbers, then go section by section. Use this shape:

## Audit: <context-file-path> (<N> lines)

**Verdict:** <one line — e.g. "Solid bones, ~40% is generic filler, missing the gotchas section.">

**Target:** <AGENTS.md / CLAUDE.md / nested AGENTS.md / symlink relationship / multiple files reviewed.>

**Length:** <N> lines vs ~300 target. <If over: what to cut or extract.>

**Section coverage:**
- ✅ One-liner — present and clear
- ⚠️ Tooling — mentions pnpm but omits the required NODE_OPTIONS env var (found in CI)
- ❌ Architectural map — absent; the worker/api split would take 4 files to discover
- ⚠️ Rules — present but vague ("write good tests" → unverifiable)
- ❌ Gotchas — absent

**Specific problems:**
1. Lines 12–28: generic advice the model already knows. Cut.
2. Line 34: references `npm run build`, but package.json uses pnpm and the script is `build:prod`. Stale.
3. ...

Be concrete and cite line numbers and evidence (especially repo evidence — "CI runs ruff check, but the file says nothing about linting"). Praise what's good; don't rewrite working sections for the sake of it. The point is signal, not a full demolition.

Step 4 — Derive the gotchas section from the repo

Tribal knowledge — the why behind load-bearing weirdness — is the highest-value content and the hardest to recover. Don't ask the user for it; derive it from the signals gathered in Step 2 (comment markers, git history, PR references). For each candidate, write a gotcha note that states the surprising thing, why it exists, and a pointer to the evidence — e.g. "The retry logic in dispatch.ts swallows the first failure on purpose; see commit a1b2c3d / PR #123."

If the repo yields no real tribal-knowledge signal, leave the gotchas section out entirely rather than padding it with guesses. An empty section is worse than no section. (If the user volunteers a gotcha in conversation, fold it in — just don't interrogate them for it.)

Step 5 — Propose the full rewrite

Show the complete rewritten target file in a code block — the whole file, ready to drop in, not a diff or a partial. Use the actual filename in the heading and summary (AGENTS.md, CLAUDE.md, .claude/CLAUDE.md, or the nested path). Precede it with a short summary (a few lines) of the major moves you made so the user can orient quickly: what you cut, what you added, the new line count, and whether symlink or multi-file behavior changes.

Here's the rewrite. Major moves:
- Cut the generic-advice and React paragraphs (filler the model already knows)
- Fixed the stale commands (npm → pnpm, build → build:prod)
- Added an architectural map (api ↔ worker via Redis queue) and the enforced CI checks
- Added a gotchas section from the "do not remove" notes in dispatch.ts
- Preserved `CLAUDE.md` as a symlink to `AGENTS.md` instead of duplicating content
- 142 → 96 lines

<full rewritten file in a code block>

For a file being split into a rules/ directory, show the rewritten main file (with the router) plus each new rules/*.md file in full.

End by asking for confirmation: approve as-is, or tell you what to change. Treat any pushback as input for another pass — re-propose, don't argue.

Step 6 — Apply on confirmation

Only after explicit approval, write the rewritten file to disk. If the approved target is symlinked, write through the real target path and leave the symlink intact unless the user explicitly asks to change the relationship. If two independent files intentionally coexist, update only the approved file unless the user approves a coordinated rewrite for both. If splitting into a rules/ directory, create it and write the router into the main file. Confirm what was written, whether any symlink was preserved, and the final line count. If the user asked for feedback instead of approval, fold it in and re-present — back to Step 5.

The rules-router pattern

When content legitimately exceeds ~300 lines, don't cram. Extract topic files and leave a router. The main file stays a fast index; the agent reads a rule file only when the task calls for it.

AGENTS.md or CLAUDE.md
                     ← stays lean; one-liner, tooling, map, hard constraints, + the router
rules/
  testing.md         ← detailed testing conventions
  database.md        ← schema rules, migration process, SQL conventions
  frontend.md        ← component patterns, styling system

The router lives in the main file and reads like:

## Detailed rules — read the relevant file before working in that area

- Writing or changing tests → read `rules/testing.md`
- Touching the database, schema, or migrations → read `rules/database.md`
- Frontend components or styling → read `rules/frontend.md`

The trigger condition ("when working on X") is the important part — without it the agent doesn't know when to pull the file in. Each extracted file should itself respect the spirit of the budget: focused and verifiable.

Creating from scratch

If no file exists and the user wants one, run Step 2 (inspect) and Step 4 (derive gotchas from the repo) to gather material, then draft directly into the ideal structure and confirm before writing. Start minimal — it is far better to ship a tight 60-line file the team will extend than a speculative 300-line one full of guesses. Only include sections you have real content for.

Reference

For a richer set of before/after examples — vague rules rewritten as verifiable ones, filler that should be cut, good gotcha notes — read references/examples.md. Pull it in when you want concrete patterns to model the rewrite on or to show the user.