> Keep heavy imports off the django.setup() path that every process (web, celery, temporal, migrate, shell, CI) pays for. Use when touching AppConfig.ready(), wiring signal receivers, editing the lazy API router (posthog/api/rest_router.py or its __init__.py shim), deferring a heavy import, when the startup-import-budget guard fails, or when merging master into a long-lived branch that made the router lazy.
npx skills add https://github.com/PostHog/posthog --skill django-startup-time
Full background — the four mechanisms (lazy router, model registration, receiver wiring, boot GC window), the regression guards, how to add code without regressing them, how to measure, and the detailed trap write-ups: docs/internal/django-startup-time.md. That doc is the single source of detail; this skill is the trigger and the checklist.
The guards live in posthog/test/test_startup_import_budget.py. When one fails, defer the import — don't remove an entry to dodge it. Conversely, when you deliberately defer a significant heavy lib off setup, add it to FORBIDDEN_AT_SETUP (after confirming it's absent from a bare django.setup()). New imports nobody has named yet are caught by test_no_new_heavy_imports_at_setup: any package not in posthog/test/setup_import_baseline.txt costing ≥100ms at setup fails the build — defer it; baseline only what every process genuinely needs at setup.
models/__init__.py, wire receivers from AppConfig.ready(), keep ready() light.AppConfig.ready(), from a dedicated light module (activity_logging.py, signals.py) — never via the API/viewset module, even if it looks light today; those accumulate heavy imports and ready() silently inherits them.# noqa: PLC0415, never at module scope.posthog.schema_enums (cheap); pydantic models from posthog.schema only inside the method that uses them. No module-level from posthog.tasks... on setup paths — CeleryQueue lives in posthog.celery_queues.rest_router.py, not the __init__.py shim.One line each — the doc has the full write-up and the fix recipe for every entry.
ready() re-drags a heavy dep onto startup — importing a receiver's module runs its module-level imports too; re-measure after wiring.manage.py shell, celery, migrate).makemigrations/admin/mypy; import it from models/__init__.py, then dmypy stop.__init__.py shim, port master's aggregator deltas into rest_router.py.__init__s — shim with PEP 562 __getattr__, via importlib.import_module and an __all__ whitelist (catch-alls recurse or deadlock on sibling imports).choices=... inputs can't be function-locally deferred; move the constant to an import-light module.schema.BaseModel); grep for consumers of the old namespace, including relative-import spellings.@patch("mod.helper") stops intercepting once mod imports helper at call time; patch the defining module instead..ambr against the merged branch, then confirm it isn't masking a regression.importtime + tuna, not pyinstrument; grimp for cycles and door enumeration.gc.disable(); if the cost vanishes, the finding is GC, not the module. Keep the entrypoints' GC window closing in a finally.Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take posthog/django-startup-time from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.