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project-analysis-laravel

Use for deep Laravel project analysis: boot flow, request lifecycle, container usage, Eloquent/data flow, async systems, and Laravel-specific failure patterns.

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project-analysis-laravel

When to use

Use this skill when:

  • The project uses Laravel
  • A deep Laravel-specific architecture or runtime analysis is needed
  • universal-project-analysis routes here after framework detection
  • A broad issue spans routes, middleware, services, models, queues, config, or infrastructure

Do NOT use when:

  • The task is a small isolated Laravel coding change
  • The issue is already narrowed to a specific specialist skill
  • The project is not actually Laravel

Core principles

  • Installed Laravel version controls behavior
  • Boot order matters
  • Middleware order matters
  • Container behavior must be traced, not assumed
  • Eloquent behavior often hides real execution cost
  • Async boundaries create hidden state problems

Procedure

1. Confirm Laravel version and runtime

Check: composer.lock, composer.json, artisan --version, PHP version and runtime environment. Validate: Laravel version is explicit, major supporting packages are identified, deployment/runtime shape is known.

2. Analyze boot and configuration

Inspect: service providers, provider registration order, config files, cached config/route state, middleware registration, route groups and prefixes, env/config interaction.

Check:

  • config caching risks
  • env() usage outside config
  • provider misuse
  • route cache assumptions
  • driver choices for queue/cache/mail/session/filesystem

3. Trace request-to-response flow

Trace: route → middleware → FormRequest/validation → controller → service/action → model/repository/query → events/observers → response transformation.

Validate: authorization path is visible, validation path is visible, transaction boundaries are visible, hidden side effects are identified.

4. Analyze data and Eloquent flow

Inspect: migrations, model relationships, casts/enums/json usage, soft deletes, nullable assumptions, eager/lazy loading, indexes and query shape.

Check:

  • N+1 risks
  • mismatches between schema and model assumptions
  • unexpected model event behavior
  • wrong relationship direction or ownership

5. Analyze async and infrastructure flow

Inspect: queued jobs, event listeners, scheduled commands, broadcasting, cache invalidation, mail/notification side effects, external HTTP integrations.

Check:

  • serialization risks
  • tenant/user context loss
  • idempotency
  • retry loops
  • stale cache / eventual consistency
  • side effects inside transactions

6. Analyze test posture

Check: feature tests, unit tests, integration coverage, factories/seeders/fakes, missing tests on critical paths. Validate: risky paths have test coverage, async behavior has meaningful tests, infrastructure assumptions are testable.

7. Validate Laravel analysis quality

Check:

  • boot flow is explicit
  • request/data/async boundaries are mapped
  • Laravel version-specific behavior was considered
  • hidden framework side effects are identified
  • next specialist skill is clear where needed

Output format

  1. Laravel version and runtime summary
  2. Boot/config findings
  3. Request-to-response flow
  4. Data/Eloquent findings
  5. Async/infrastructure findings
  6. Test posture
  7. Key risks and next steps

Gotcha

  • Laravel hides complexity behind convenient abstractions.
  • Middleware, observers, facades, and Eloquent can make execution flow look simpler than it is.
  • Cached config/routes can make the real runtime differ from the source code.

Do NOT

  • Do NOT assume Laravel behavior without version context
  • Do NOT stop at controller/service level if observers, jobs, or events are involved
  • Do NOT ignore middleware order
  • Do NOT ignore config/cache/runtime differences
  • Do NOT treat Eloquent convenience as proof of correctness or performance

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