LLM & Agents

Applies disciplined test-driven development (TDD) using Red-Green-Refactor cycles with modern TypeScript/Bun and Rust tooling. Use when implementing features with TDD, writing tests first, refactoring with test coverage, bug fixes requiring test reproduction, or when TDD, test-first, red-green-refactor, testing methodology, or --tdd flag are mentioned. Covers test quality, mutation testing, and both TypeScript and Rust workflows.

Configure and troubleshoot TypeScript testing with NX and Vite. Use this skill when working with test configuration, coverage reporting, or debugging test execution issues in TypeScript projects using NX monorepo structure with Vite/Vitest test runner.

Use when generating tests for new or existing code to improve coverage - provides a structured workflow for analyzing code, creating tests, and validating coverage goals.

This skill should be used when the model needs to ensure code quality through comprehensive linting and formatting. It provides automatic linting workflows for orchestrators (format → lint → resolve via concurrent agents) and sub-agents (lint touched files before task completion). Prevents claiming "production ready" code without verification. Includes linting rules knowledge base for ruff, mypy, and bandit, plus the linting-root-cause-resolver agent for systematic issue resolution.

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

Systematic pre-commit quality gate using checklist-based review methodology with announcement protocol. Use when reviewing code before commit, performing quality gates, conducting systematic code review, or when fresh-eyes, pre-commit-review, quality-gate, or --review are mentioned. Reviewer agent should load this for thorough reviews.

Guide for creating effective skills. This skill 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.

Record Claude Code sessions with asciinema. TRIGGERS - record session, asciinema record, capture terminal, record claude, demo recording, record ASCII, ASCII terminal, terminal screen capture, shell screen capture, ASCII screen capture, screen recording. Generates ready-to-copy commands with dynamic workspace-based filenames.

Database schema (users, messages, photos tables), environment variables, ImageKit storage structure, authentication flow, and service integrations. Use when working on database operations, API logic, authentication, or infrastructure.

Centralized colored output formatter for all skills, agents, and commands with ANSI escape codes

Claude Code hook system for pre/post tool execution. Triggers on: hooks, PreToolUse, PostToolUse, hook script, tool validation, audit logging.

Opentrons Flex Gripper - automated labware movement between deck locations, modules, waste chute, and off-deck storage with precise positioning and offset control for hands-free plate transfers

Comprehensive guide for using The Force MCP server - a unified interface to 11 AI models (OpenAI, Google, Anthropic, xAI) with intelligent context management, project memory, and multi-model collaboration. This skill should be used when working with The Force MCP tools, selecting appropriate AI models for tasks, managing context and sessions, using GroupThink for multi-model collaboration, or optimizing AI-assisted workflows.

Build, harden, document, and ship MCP servers to Claude standards with FastMCP 2.13+ architecture, disciplined tooling, and release-ready workflows.

Replace with a clear description of what this skill does and when Claude should use it. Be specific about the use cases, tools, or workflows this skill addresses.

This skill should be used when the user asks to "track work across sessions", "create an epic", "manage issue waves", "post a checkpoint", "claim an issue", "recover from compaction", "coordinate multiple agents", "update memory bank", "store large documents", or mentions GitHub Issues as persistent memory, multi-session work, context survival, agent collaboration, SERENA MCP memory, or project-level context. Provides complete protocols for using GitHub Issues as permanent memory that survives context exhaustion, with integrated SERENA MCP memory bank for project-level context and large document storage.

Central authority for Claude Code sandboxing and isolation. Covers sandboxed bash tool, /sandbox command, filesystem isolation (blocked access, custom paths), network isolation (domain restrictions, proxy support), OS-level enforcement (bubblewrap on Linux, Seatbelt on macOS), sandbox configuration options, escape hatches (dangerouslyDisableSandbox, allowUnsandboxedCommands), and sandbox security limitations. Assists with configuring sandbox settings, understanding isolation mechanisms, and troubleshooting sandbox issues. Delegates 100% to docs-management skill for official documentation.

Production-ready code standards following CLAUDE Framework with TDD, security, and quality requirements

Comprehensive Test Coverage and Bug Discovery Workflow (user)

Expert prompt engineering for AI systems. Use when the user wants to write or review prompts for AI, create instructions for AI systems, build system prompts, review or improve existing prompts, optimize AI instructions, or create any form of written communication intended for AI consumption (Claude, GPT, or other LLMs).