alias:: [[Claude Code Skills]]

Collects intake (project name + problem statement), scaffolds the project, infers architectural signals, and produces a Discovery Brief. This is the DEFAULT first skill — invoke it for ANY new user request that describes a data, analytics, reporting, or integration problem, no matter how it is phrased. The signal mapper handles keyword matching; routing just needs to get the user here first. When in doubt, invoke fabric-discover — a false-positive intake is recoverable; a freelanced answer is not. Common triggers include "IoT sensors", "batch ETL", "real-time analytics", "data warehouse", "compliance", "dashboard", "streaming", "we need analytics", or "what task flow fits my needs", but any description of a data problem qualifies. Do NOT use for architecture design (use fabric-design), deployment (use fabric-deploy), or validation (use fabric-test).

Comprehensive security vulnerability analysis for codebases and infrastructure. Scans dependencies (npm, pip, gem, go, cargo), containers (Docker, Kubernetes), cloud IaC (Terraform, CloudFormation), and detects secrets exposure. Fetches live CVE data from OSV.dev, calculates risk scores, and generates phased remediation plans with TDD validation tests. Use when users mention security scan, vulnerability, CVE, exploit, security audit, penetration test, OWASP, hardening, dependency audit, container security, or want to improve security posture.

验证 VS 的 entry_points 字段是否与 SPEC_PRJ_ENTRYPOINTS（入口类型标签）一致，生成缺失入口清单和补充建议。当准备 CONSTRAINT 验收前使用。

SQLite disaster recovery and streaming replication to cloud storage (S3, GCS, Azure, SFTP, NATS). Use this skill for configuring Litestream, deploying to cloud platforms, troubleshooting WAL replication issues, implementing point-in-time recovery, and setting up VFS read replicas.

Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing. Use when the user wants to: (1) Create evaluation datasets with test cases for AI agents, (2) Define evaluators (deterministic, LLM-as-Judge, custom, or span-based), (3) Run evaluations and generate reports, (4) Compare model performance across experiments, (5) Integrate evaluations with Pydantic AI agents, (6) Set up observability with Logfire, (7) Generate test datasets using LLMs, (8) Implement regression testing for AI systems.

Start the agent chatroom for real-time coordination between parallel agents. Use when spawning multiple agents that need to communicate or when you want to monitor agent activity.

Use when creating demo GIFs for Swift package READMEs, recording iOS simulator videos, or setting up demo apps for SwiftUI libraries

Use when releasing a new plugin version, bumping versions, creating git tags, or publishing GitHub releases for this marketplace

Create a new packet analyzer for Minecraft Bedrock logs. Generates template code, provides documentation links, and guides testing workflow.

You can find the MoveLegsSkill example code on our [GitHub](https://github.com/vincross/mind-sdk/blob/master/examples/MoveLegsSkill/robot/src/movelegsskill.go). Here are some annotated notes about the implementation and reference to help you build your own Skills.

This skill should be used when the user asks to "create an esphome config", "set up an esp32 device", "configure esphome yaml", "add a sensor to esphome", "fix esphome compile error", or mentions "gpio pin assignment", "wifi setup", "ota update", or error messages like "Unknown platform", "GPIO already in use", "Could not compile", or "WiFi connection failed". Provides rapid ESPHome configuration generation, troubleshooting, and validation.

SQLite Setup. Reference when using this Prisma feature.

ESM Support. Reference when using this Prisma feature.

Raw Queries. Reference when using this Prisma feature.

MongoDB Setup. Reference when using this Prisma feature.

Builds accessible React applications with Chakra UI v3 components, tokens, and recipes. Use when creating styled component systems, theming, or accessible form controls.

Transactions. Reference when using this Prisma feature.

Environment Variables

Model Queries. Reference when using this Prisma feature.