prisma-cli-debug
prisma debug. Reference when using this Prisma feature.
Works with
--- name: prisma-cli-debug description: prisma debug. Reference when using this Prisma feature. license: MIT --- # prisma debug Prints information helpful for debugging and bug reports. ## Command ```bash prisma debug [options] ``` ## What It Does Outputs details about your Prisma environment, including: - Prisma CLI version - Prisma Client version (if installed) - Engine binaries (Query Engine, Migration Engine, etc.) - Platform information (OS, Architecture) - Node.js version - Configured datasource provider ## Options | Option | Description | |--------|-------------| | `--schema` | Path to schema file | | `--config` | Custom path to your Prisma config file | ## Example Output ``` prisma : 7.3.0 @prisma/client : 7.3.0 Operating System : darwin Architecture : arm64 Node.js : v20.10.0 TypeScript : 5.3.3 Query Compiler : enabled PSL : ... Schema Engine : ... ``` ## When to Use - **Troubleshooting**: Checking version mismatches - **Reporting Issues**: Including environment info in GitHub issues - **Verifying Installation**: Ensuring correct binaries are downloaded
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.
