LLM & Agents

Use when implementing real-time features requiring reliability, especially LLM streaming. Applies AnyCable patterns for message delivery guarantees, presence tracking, and Action Cable migration.

Test suite audit coordinator (L2). Delegates to 5 workers (Business Logic, E2E, Value, Coverage, Isolation). Aggregates results, creates Linear task in Epic 0.

Guidance for compiling SQLite (or similar C projects) with gcov code coverage instrumentation. This skill should be used when tasks involve building software with gcov flags, setting up code coverage instrumentation, or troubleshooting coverage data file generation. Covers gcov path mechanics, build directory considerations, and runtime verification strategies.

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.

E2E Critical Coverage audit worker (L3). Validates E2E coverage for critical paths (Money 20+, Security 20+, Data 15+). Pure risk-based - no pyramid percentages.

Shared configuration patterns for project setup commands. Provides security hooks, Claude framework structure templates, and framework detection patterns used across multiple setup commands.

Extracts key learnings from conversations, debugging sessions, and failed attempts. Use at session end or after solving complex problems to capture insights. Automatically suggests updates to: DISCOVERIES.md (learnings), PATTERNS.md (reusable solutions), new agent creation (repeated workflows). Ensures knowledge persists across sessions.

Generates and improves tests following TDD principles. Activates when new features are implemented, test coverage is low, or user requests tests. Ensures comprehensive test coverage with unit, integration, and edge case tests.

Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for CLI design, argument parsing, interactive prompts, progress indicators, shell completions. Keywords: CLI, terminal, command-line, commander, click, cobra.

Creates, refines, and validates Claude Code skills following amplihack philosophy and official best practices. Automatically activates when building, creating, generating, or designing new skills.

Search for claude plugins or skill to help user with a task

Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.

6-phase investigation workflow for understanding existing systems. Auto-activates for research tasks. Optimized for exploration and understanding, not implementation. Includes parallel agent deployment for efficient deep dives and automatic knowledge capture to prevent repeat investigations.

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Comprehensive knowledge of Claude Agent SDK architecture, tools, hooks, skills, and production patterns. Auto-activates for agent building, SDK integration, tool design, and MCP server tasks.

Use when deploying or managing Kubernetes workloads requiring cluster configuration, security hardening, or troubleshooting. Invoke for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization. Keywords: Kubernetes, K8s, kubectl, Helm, RBAC, NetworkPolicy.

Use when fine-tuning LLMs, training custom models, or optimizing model performance for specific tasks. Invoke for parameter-efficient methods, dataset preparation, or model adaptation.

Philosophy-aware PR reviews checking alignment with amplihack principles. Use when reviewing PRs to ensure ruthless simplicity, modular design, and zero-BS implementation. Suggests simplifications, identifies over-engineering, verifies brick module structure. Posts detailed, constructive review comments with specific file:line references.

Use when generating options or clarifying a build/fix request—pull constraints from the user, list varied approaches, then narrow with them to pick a plan. For code reviews, use briefly to confirm expectations, then hand off to the agent flow.

Reviews code diffs (uncommited changes written by the agent) or new files(untracked files) for Python type hinting and structural principle compliance. Use this skill when user say review code diffs or new files or want to check code quality(when file is a python file). Requires explicit user confirmation before applying any modifications to ensure code quality and safety.