feature-flags
Use when feature flag tests fail, flags need updating, understanding @gate pragmas, debugging channel-specific test failures, or adding new flags to React.
Works with
---
name: feature-flags
description: Use when feature flag tests fail, flags need updating, understanding @gate pragmas, debugging channel-specific test failures, or adding new flags to React.
license: MIT
---
# React Feature Flags
## Flag Files
| File | Purpose |
|------|---------|
| `packages/shared/ReactFeatureFlags.js` | Default flags (canary), `__EXPERIMENTAL__` overrides |
| `packages/shared/forks/ReactFeatureFlags.www.js` | www channel, `__VARIANT__` overrides |
| `packages/shared/forks/ReactFeatureFlags.native-fb.js` | React Native, `__VARIANT__` overrides |
| `packages/shared/forks/ReactFeatureFlags.test-renderer.js` | Test renderer |
## Gating Tests
### `@gate` pragma (test-level)
Use when the feature is completely unavailable without the flag:
```javascript
// @gate enableViewTransition
it('supports view transitions', () => {
// This test only runs when enableViewTransition is true
// and is SKIPPED (not failed) when false
});
```
### `gate()` inline (assertion-level)
Use when the feature exists but behavior differs based on flag:
```javascript
it('renders component', async () => {
await act(() => root.render(<App />));
if (gate(flags => flags.enableNewBehavior)) {
expect(container.textContent).toBe('new output');
} else {
expect(container.textContent).toBe('legacy output');
}
});
```
## Adding a New Flag
1. Add to `ReactFeatureFlags.js` with default value
2. Add to each fork file (`*.www.js`, `*.native-fb.js`, etc.)
3. If it should vary in www/RN, set to `__VARIANT__` in the fork file
4. Gate tests with `@gate flagName` or inline `gate()`
## Checking Flag States
Use `/flags` to view states across channels. See the `flags` skill for full command options.
## `__VARIANT__` Flags (GKs)
Flags set to `__VARIANT__` simulate gatekeepers - tested twice (true and false):
```bash
/test www <pattern> # __VARIANT__ = true
/test www variant false <pattern> # __VARIANT__ = false
```
## Debugging Channel-Specific Failures
1. Run `/flags --diff <channel1> <channel2>` to compare values
2. Check `@gate` conditions - test may be gated to specific channels
3. Run `/test <channel> <pattern>` to isolate the failure
4. Verify flag exists in all fork files if newly added
## Common Mistakes
- **Forgetting both variants** - Always test `www` AND `www variant false` for `__VARIANT__` flags
- **Using @gate for behavior differences** - Use inline `gate()` if both paths should run
- **Missing fork files** - New flags must be added to ALL fork files, not just the main one
- **Wrong gate syntax** - It's `gate(flags => flags.name)`, not `gate('name')`More Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

