improve-claude-md
humanlayer/skills · Agent Skill
Migliorare il file CLAUDE.md utilizzando blocchi `<important if>` per migliorare l'osservanza delle istruzioni e ridurre il contesto ignorato.
Vai all'installazione ↓Panoramica
| Autore | |
|---|---|
| Repository | humanlayer/skills ↗ |
| Cartella dello skill | improve-claude-md |
| Stelle | 5466 |
| Fork | 180 |
| File inclusi | 1 |
| Licenza | MIT |
| Aggiornato | 8 ottobre 2026 |
| Link | Sorgente dello skill ↗ · Repository ↗ |
Verifica Mozgi
Cosa abbiamo trovato nei file dello skill. I dettagli con l’abbonamento.
Installazione
Uno skill è una cartella con un file SKILL.md. Scegli il tuo agente ed esegui i comandi in un terminale (macOS, Linux o Git Bash su Windows) dalla radice del progetto.
Incolla il prompt in Claude, Codex o un altro assistente: controllerà lo skill e lo installerà.
Install the “improve-claude-md” skill from mozgi.io (https://mozgi.io/skills/humanlayer-improve-claude-md/) for me. 1. Download the archive: https://mozgi.io/skills/humanlayer-improve-claude-md/download If it fails, take the skill folder from the source: https://github.com/humanlayer/skills/tree/main/plugins/improve-claude-md/skills/improve-claude-md 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “improve-claude-md” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/improve-claude-md/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/humanlayer/skills.git /tmp/skills mkdir -p .claude/skills cp -r /tmp/skills/plugins/improve-claude-md/skills/improve-claude-md .claude/skills/improve-claude-md
Riavvia Claude Code: lo skill compare nell'elenco; per richiamarlo a mano usa /improve-claude-md. Per tutti i progetti: ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/humanlayer/skills.git /tmp/skills mkdir -p .agents/skills cp -r /tmp/skills/plugins/improve-claude-md/skills/improve-claude-md .agents/skills/improve-claude-md
Codex cerca gli skill in .agents/skills dalla cartella corrente fino alla radice del repo; richiamalo con /skills o $improve-claude-md. Per tutti i progetti: ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/humanlayer/skills.git /tmp/skills mkdir -p .cursor/skills cp -r /tmp/skills/plugins/improve-claude-md/skills/improve-claude-md .cursor/skills/improve-claude-md
Cursor carica lo skill all'avvio; richiamalo con “/” nella chat Agent. Cursor legge anche .claude/skills e .agents/skills. Per tutti i progetti: ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/humanlayer/skills.git /tmp/skills mkdir -p .gemini/skills cp -r /tmp/skills/plugins/improve-claude-md/skills/improve-claude-md .gemini/skills/improve-claude-md
Gemini CLI propone di attivare lo skill quando il compito corrisponde: tu confermi. Per tutti i progetti: ~/.gemini/skills.
Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.
Contenuto di SKILL.md
Testo originale dell'autore · sola letturaWhen the user provides a CLAUDE.md file (or asks you to improve one), rewrite it following the principles and structure below.
Core Problem
Claude Code injects a system reminder with every CLAUDE.md that says:
> "this context may or may not be relevant to your tasks. You should not respond to this context unless it is highly relevant to your task."
This means Claude will ignore parts of your CLAUDE.md it deems irrelevant. The more content that isn't applicable to the current task, the more likely Claude is to ignore everything — including the parts that matter.
Solution: <important if="condition"> Blocks
Wrap conditionally-relevant sections of the CLAUDE.md in <important if="condition"> XML tags. This exploits the same XML tag pattern used in Claude Code's own system prompt, giving the model an explicit relevance signal that cuts through the "may or may not be relevant" framing.
Principles
1. Foundational context stays bare, domain guidance gets wrapped
Not everything should be in an <important if> block. Context that is relevant to virtually every task — project identity, project map, tech stack — should be left as plain markdown at the top of the file. This is onboarding context the agent always needs.
Domain-specific guidance that only matters for certain tasks — testing patterns, API conventions, state management, i18n — gets wrapped in <important if> blocks with targeted conditions.
The rule of thumb: if it's relevant to 90%+ of tasks, leave it bare. If it's relevant to a specific kind of work, wrap it.
2. Conditions must be specific and targeted
Bad — overly broad conditions that match everything:
<important if="you are writing or modifying any code">
- Use absolute imports
- Use functional components
- Use camelCase filenames
</important>
Good — each rule has its own narrow trigger:
<important if="you are adding or modifying imports">
- Use `@/` absolute imports (see tsconfig.json for path aliases)
- Avoid default exports except in route files
</important>
<important if="you are creating new components">
- Use functional components with explicit prop interfaces
</important>
<important if="you are creating new files or directories">
- Use camelCase for file and directory names
</important>
3. Keep it short, use progressive disclosure sparingly
Do not shard into separate files that require the agent to make tool calls to discover, unless the extra context is incredibly verbose or complex.
The whole point of <important if> blocks is that everything is inline but conditionally weighted — the agent sees it all but only attends to what matches.
Prefer to keep the file concise.
4. Less is more
- Frontier models can reliably follow a few hundred. Claude Code's system prompt and tools already use ~50 of those. Your CLAUDE.md should be as lean as possible.
- Cut any instruction that a linter, formatter, or pre-commit hook can enforce
- Cut any instruction the agent can discover from existing code patterns. LLMs are in-context learners — if your codebase consistently uses a pattern, the agent will follow it after a few searches.
- Cut code snippets. They go stale and bloat the file. Use file path references instead (e.g., "see
src/utils/example.tsfor the pattern").
5. Keep all commands
Do not drop commands from the original file. The commands table is foundational reference — the agent needs to know what's available even if some commands are used less frequently.
Output Structure
When rewriting a CLAUDE.md, produce this structure:
# CLAUDE.md
[one-line project identity — what it is, what it's built with]
## Project map
[directory listing with brief descriptions]
<important if="you need to run commands to build, test, lint, or generate code">
[commands table — all commands from the original]
</important>
<important if="<specific trigger for rule 1>">
[rule 1]
</important>
<important if="<specific trigger for rule 2>">
[rule 2]
</important>
... more rules, each with their own block ...
<important if="<specific trigger for domain area 1>">
[guidance]
</important>
... more domain sections ...
How to Apply
When given an existing CLAUDE.md to improve:
1. Identify the project identity — extract a single sentence describing what this is. Leave it bare at the top.
2. Extract the directory map — keep it bare (no <important if> wrapper). This is foundational context.
3. Extract the tech stack — if present, keep it bare near the top. Condense to one or two lines.
4. Extract commands — keep ALL commands from the original. Wrap in a single <important if> block.
5. Break apart rules — split any list of rules into individual <important if> blocks with specific conditions. You can group rules, but never group unrelated rules under one broad condition.
6. Wrap domain sections — testing, API patterns, state management, i18n, etc. each get their own block with a condition describing when that knowledge matters.
7. Delete linter territory — remove style guidelines, formatting rules, and anything enforceable by tooling. Suggest replacing with pre-push or pre-commit hooks.
8. Delete code snippets — replace with file path references.
9. Delete vague instructions — remove anything like "leverage the X agent" or "follow best practices" that isn't concrete and actionable.
Example
Input:
# CLAUDE.md
This is an Express API with a React frontend in a Turborepo monorepo.
## Commands
| Command | Description |
|---|---|
| `turbo build` | Build all packages |
| `turbo test` | Run all tests |
| `turbo lint` | Lint all packages |
| `turbo dev` | Start dev server |
| `turbo storybook` | Start Storybook |
| `turbo db:generate` | Generate Prisma client |
| `turbo db:migrate` | Run database migrations |
| `turbo analyze` | Bundle analyzer |
## Project Structure
- `apps/api/` - Express REST API
- `apps/web/` - React SPA
- `packages/db/` - Prisma schema and client
- `packages/ui/` - Shared component library
- `packages/config/` - Shared configuration
## Coding Standards
- Use named exports
- Use functional components with TypeScript interfaces for props
- Use camelCase for variables, PascalCase for components
- Prefer `const` over `let`
- Always use strict equality (`===`)
- Use template literals instead of string concatenation
- Write JSDoc comments for all public functions
- Use barrel exports in index.ts files
## API Development
- All routes go in `apps/api/src/routes/`
- Use Zod for request validation
- Use Prisma for database access
- Error responses follow RFC 7807 format
- Authentication via JWT middleware
## Testing
- Jest + Supertest for API tests
- Vitest + Testing Library for frontend
- Test fixtures in `__fixtures__/` directories
- Use `createTestClient()` helper for API integration tests
- Mock database with `prismaMock` from `packages/db/test`
## State Management
- Zustand for global client state
- React Query for server state
- URL state via `nuqs`
Output:
# CLAUDE.md
Express API + React frontend in a Turborepo monorepo.
## Project map
- `apps/api/` - Express REST API
- `apps/web/` - React SPA
- `packages/db/` - Prisma schema and client
- `packages/ui/` - Shared component library
- `packages/config/` - Shared configuration
<important if="you need to run commands to build, test, lint, or generate code">
Run with `turbo` from the repo root.
| Command | What it does |
|---|---|
| `turbo build` | Build all packages |
| `turbo test` | Run all tests |
| `turbo lint` | Lint all packages |
| `turbo dev` | Start dev server |
| `turbo storybook` | Start Storybook |
| `turbo db:generate` | Regenerate Prisma client after schema changes |
| `turbo db:migrate` | Run database migrations |
| `turbo analyze` | Bundle analyzer |
</important>
<important if="you are adding or modifying imports or exports">
- Use named exports (no default exports)
</important>
<important if="you are creating new components">
- Use functional components with TypeScript interfaces for props
</important>
<important if="you are adding or modifying API routes">
- All routes go in `apps/api/src/routes/`
- Use Zod for request validation
- Use Prisma for database access
- Error responses follow RFC 7807 format
- Authentication via JWT middleware
</important>
<important if="you are writing or modifying tests">
- API: Jest + Supertest
- Frontend: Vitest + Testing Library
- Test fixtures in `__fixtures__/` directories
- Use `createTestClient()` helper for API integration tests
- Mock database with `prismaMock` from `packages/db/test`
</important>
<important if="you are working with state management, stores, or URL parameters">
- Zustand for global client state
- React Query for server state
- URL state via `nuqs`
</important>
What was removed and why:
- camelCase/PascalCase, const vs let, strict equality, template literals, JSDoc, barrel exports — linter and formatter territory, or discoverable from existing code patterns
- Coding Standards as a grouped section — split into targeted blocks by trigger condition
What was NOT removed:
- All commands kept (including dev, storybook, analyze)
- Project map left bare (foundational context, relevant to every task)
Domande frequenti
Che cosa fa lo skill improve-claude-md?
Migliorare il file CLAUDE.md utilizzando blocchi `<important if>` per migliorare l'osservanza delle istruzioni e ridurre il contesto ignorato.
Come si installa improve-claude-md?
Apri il blocco “Installazione” in questa pagina e scegli il tuo agente — Claude Code, Codex, Cursor o Gemini CLI — per i comandi pronti che copiano la cartella dello skill nel posto giusto. Oppure copia il prompt dalla scheda “Con l'assistente” e lascia che sia l'assistente a controllare e installare lo skill.
Con quali modelli AI funziona improve-claude-md?
Gli skill sono semplici istruzioni in Markdown (formato Agent Skills), quindi improve-claude-md funziona con qualsiasi agente che legge SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode e altri. Il modello carica le istruzioni solo quando il compito corrisponde alla descrizione dello skill.
improve-claude-md è gratuito?
Lo skill è pubblicato apertamente da humanlayer con licenza MIT. Lo skill in sé non costa nulla: paghi solo il tuo fornitore AI per i token usati.
È sicuro installare gli skill?
Uno skill è un insieme di istruzioni che il tuo agente seguirà: leggi SKILL.md e i file correlati prima di installarlo. Gli script nella cartella dello skill vengono eseguiti solo se li esegue l'agente: controlla cosa fa e non concedere permessi superflui.
In cosa differisce uno skill da un server MCP o da un plugin?
Un server MCP o un plugin danno al modello nuovi strumenti: codice che viene eseguito e restituisce un risultato. Uno skill fornisce conoscenza e metodo: come affrontare il compito, quali passi seguire e com'è un buon risultato. Non servono server né chiavi API.