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Found 797 Skills
Skill for defining terminology and data structures used throughout the project. Covers domain terminology, entities, relationships, and schema design. Use proactively when starting a new project or when data structures are unclear. Triggers: schema, terminology, data model, entity, 스키마, 用語, データモデル, 数据模型, esquema, terminología, modelo de datos, schéma, terminologie, modèle de données, Schema, Terminologie, Datenmodell, schema, terminologia, modello dati Do NOT use for: UI-only changes, deployment, or when schema is already defined.
Deploy ContextVM servers and clients in production environments. Use when setting up production deployments, configuring Docker containers, managing environment variables, choosing relay configurations, or monitoring running services.
Use when creating Helm charts, packaging Kubernetes applications, managing multi-environment deployments, or asking about "Helm", "Helm chart", "values.yaml", "chart templating", "Helm dependencies"
Fine-tune LLMs with Unsloth using GRPO or SFT. Supports FP8, vision models, mobile deployment, Docker, packing, GGUF export. Use when: train with GRPO, fine-tune, reward functions, SFT training, FP8 training, vision fine-tuning, phone deployment, docker training, packing, export to GGUF.
Rummage through code with curious precision, inspecting every corner for security risks and cleaning up what doesn't belong. Use when auditing security, finding secrets, removing dead code, or sanitizing before deployment.
Implementation workflows for building Frappe/ERPNext custom apps. Covers app structure, module creation, doctype design, fixtures, patches, and deployment. V14/V15/V16 compatible. Triggers: create custom app, new frappe app, bench new-app, app structure, module creation, doctype creation, fixtures, patches.
Build MCP servers in Python with FastMCP. Workflow: define tools and resources, build server, test locally, deploy to FastMCP Cloud or Docker. Use when creating MCP servers, exposing tools/resources/prompts to LLMs, building Claude integrations, or troubleshooting FastMCP module-level server, storage, lifespan, middleware, OAuth, or deployment errors.
[AUTO-INVOKE] MUST be invoked BEFORE deploying contracts or writing deployment scripts (*.s.sol). Covers pre-flight checks, forge script commands, post-deployment validation, and verification. Trigger: any task involving forge script, contract deployment, or block explorer verification.
Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.
[AUTO-INVOKE] MUST be invoked BEFORE deploying DeFi contracts (DEX, lending, staking, LP, token). Covers anti-whale, anti-MEV, flash loan protection, launch checklists, and emergency response. Trigger: any deployment or security review of DeFi-related contracts.
Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skill, writing to address failures, iterating to close loopholes
Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization