Claude commands

Handy Claude commands, kept current by the community. Add one you rely on.

1877 commands for Claude· page 54 of 79
/approve-review

Approve review

Open a review-action approval window by creating the ./.review-approved flag file. Takes an optional reason string that is recorded in the flag file and an unsigned approval log.

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/python-scaffold

Python scaffold

Scaffold a Python project (FastAPI, Django, library, or CLI) with uv, type hints, testing, and dev tooling

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/verify-receipt

Verify receipt

Verify a single Ed25519-signed receipt file against the signer's public key. Returns exit 0 if valid, 1 if tampered, 2 if malformed or the key is missing.

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/audit-chain

Audit chain

Verify every receipt in ./receipts/receipts.jsonl against the signer's public key. Detects tampered or malformed receipts across the audit trail.

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/eval

Eval

Evaluate a plugin or skill for quality

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/compare

Compare

Compare two skills head-to-head

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/certify

Certify

Full quality certification with badge

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/multi-agent-review

Multi agent review

Coordinate specialized review agents in parallel or in sequence and synthesize their findings into one code review

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/ai-review

Ai review

Run an AI-assisted code review that combines static analysis tools with AI review of security, performance, and architecture

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/slo-implement

Slo implement

Implement SLOs with SLI selection, error budgets, burn-rate alerting, dashboards, and reporting

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/monitor-setup

Monitor setup

Set up monitoring and observability with Prometheus metrics, Grafana dashboards, distributed tracing, log aggregation, and alerting

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/multi-platform

Multi platform

Orchestrate cross-platform feature development across web, mobile, and desktop with API-first architecture

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/gen

Gen

Quick image generation. Use when user runs /meigen-ai-design:gen with a prompt. Skips intent assessment, generates directly.

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/find

Find

Quick gallery search. Use when user runs /meigen-ai-design:find with keywords to browse inspiration.

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/ml-pipeline

Ml pipeline

Orchestrate specialized agents to build a production ML pipeline from data analysis through training, deployment, and monitoring

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/promote-checkpoint

Promote checkpoint

Re-gate an existing fine-tuned checkpoint against the current eval harness and export it on PROMOTE

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/finetune

Finetune

Run the eval-gated fine-tuning lifecycle end to end — eval harness, method selection, data, environment, training, checkpoint gate, export

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/prompt-optimize

Prompt optimize

Optimize prompts for production with CoT, few-shot, and constitutional AI patterns

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/langchain-agent

Langchain agent

Create LangGraph-based agent with modern patterns

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/ai-assistant

Ai assistant

Build AI assistant application with NLU, dialog management, and integrations

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/typescript-scaffold

Typescript scaffold

Scaffold a TypeScript project (Next.js, React with Vite, Node.js API, or library) with pnpm, testing, and dev tooling

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/smart-fix

Smart fix

Intelligent issue resolution with multi-agent debugging, root cause analysis, and verified fix implementation

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/incident-response

Incident response

Orchestrate multi-agent incident response with modern SRE practices for rapid resolution and learning

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/pr-enhance

Pr enhance

Enhance a pull request with a generated description, review checklist, risk assessment, and test coverage report

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