flags
Use when you need to check feature flag states, compare channels, or debug why a feature behaves differently across release channels.
Works with
--- name: flags description: Use when you need to check feature flag states, compare channels, or debug why a feature behaves differently across release channels. license: MIT --- # Feature Flags Arguments: - $ARGUMENTS: Optional flags ## Options | Option | Purpose | |--------|---------| | (none) | Show all flags across all channels | | `--diff <ch1> <ch2>` | Compare flags between channels | | `--cleanup` | Show flags grouped by cleanup status | | `--csv` | Output in CSV format | ## Channels - `www`, `www-modern` - Meta internal - `canary`, `next`, `experimental` - OSS channels - `rn`, `rn-fb`, `rn-next` - React Native ## Legend ✅ enabled, ❌ disabled, 🧪 `__VARIANT__`, 📊 profiling-only ## Instructions 1. Run `yarn flags $ARGUMENTS` 2. Explain the output to the user 3. For --diff, highlight meaningful differences ## Common Mistakes - **Forgetting `__VARIANT__` flags** - These are tested both ways in www; check both variants - **Comparing wrong channels** - Use `--diff` to see exact differences
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.
