The Engineer skill — deploys Fabric items in dependency-ordered waves and remediates issues found during validation. Use when user says "deploy", "create items", "run deployment", "fix deployment issues", "remediate", or after user sign-off is complete. Do NOT use for design (use fabric-design) or testing (use fabric-test).

Add a new blog post to this Docusaurus site from a staging folder.

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.

Build and debug Pydantic AI agents using best practices for dependencies, dynamic system prompts, tools, and structured output validation. Use when the user wants to: (1) Create a new Pydantic AI agent, (2) Debug or fix an existing agent, (3) Add features like tools, validators, or dynamic prompts, (4) Integrate OpenRouter for multi-model access, (5) Add Logfire for debugging/observability, (6) Structure agent architecture with dependency injection.

Command-line task management tool for AI coding agents and humans. Provides local SQLite-based task boards for tracking work items, checklists, and comments without requiring an external API. Use this skill when: - Managing multi-step coding tasks - Tracking progress on complex implementations - Breaking down work into checkable subtasks - Documenting decisions and progress via comments - Coordinating work across agent sessions

[Architecture] Use when designing or implementing cross-service communication, data synchronization, or service boundary patterns.

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.

Use when encountering Swift 6 concurrency errors, Sendable conformance warnings, actor isolation issues, "global variable is not concurrency-safe" errors, or migrating codebases to Swift 6 language mode

Apply task-specific templates to AI session plans using ai-update-plan. Use when starting a new task to load appropriate plan structure (feature, bugfix, refactor, documentation, security).

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.

Configure MCP session defaults for different project components

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

Run a live Looper-Go smoke test by creating a temporary project (PROJECT.md + to-do.json), executing looper for one iteration, observing output, and reporting results. Use when verifying looper-go behavior or demonstrating a live run.

Self-healing skill that improves signal mapper keyword coverage through iterative problem generation and keyword patching. Use when user says "heal signal mapper", "improve keyword coverage", "generate problem statements", "run healing loop", "patch signal mapper", or asks about "signal mapper gaps". Do NOT use for project architecture or deployment.

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.

Create video clips from chapter timestamps using ffmpeg. Use when given a video file and timestamps/chapters to split into separate clips.

List, create, and assign iterations for Azure DevOps projects and teams.

Comprehensive project design and ideation skill for AI/ML and web/mobile applications. Use when users present initial project ideas that need enhancement, architectural guidance, technology stack recommendations, feature expansion, or implementation strategy. Triggers include requests like "help me design a [project type]", "I want to build [concept] but need to flesh out the idea", "what features should I add to [project]", "recommend a tech stack for [idea]", or "enhance my project concept". Provides structured design thinking, architectural patterns, feature frameworks, and technology recommendations through progressive disclosure of specialized reference materials.

Document Claude Code sessions by extracting knowledge into cross-referenced documentation. Triggers on "recap the session", "summarize the work", or after significant code changes.

List, inspect, and troubleshoot Azure DevOps pipeline builds. Shows recent builds for a pipeline definition, drills into a specific build's status and result, displays logs for failed steps, and lists the changes associated with a build.