Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
Google Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration
Start a new learning episode in the self-learning memory system with proper context. Use this skill when beginning a new task that should be tracked for learning from execution patterns.
Create Architecture Decision Records (ADR) - Layer 5 artifact documenting architectural decisions with Context-Decision-Consequences format
Intelligent skill suggestion engine that analyzes user intent and project context to recommend appropriate documentation skills
Persistent knowledge storage using basic-memory CLI. Use to save notes, search memories semantically, and build context for topics across sessions.
Manage long-running agent sessions. Use for tracking progress in extended tasks, maintaining context across long sessions, and managing multi-step workflows.
Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.
Manage application state using Redux, MobX, Zustand, and Context API. Use when centralizing state for complex applications with multiple components.
Suggest better variable, function, and class names based on context and conventions.
n8n expression syntax validation, context-aware testing, common pitfalls detection, and performance optimization. Use when validating n8n expressions and data transformations.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Conceptual guide to wide events (canonical log lines) for observability. Use when thinking about instrumentation strategy, span annotations, or designing what context to capture.
Use when discovering codebase patterns, making architectural decisions, solving recurring problems, or learning project-specific context that should persist across sessions
Spawn a new Claude Code session in a separate terminal to work on a different task, optionally with context from the current session. Use when you need to work on something else without losing...
Primary Instruction Protocol for Senior Engineering Agents. Expert in Cognitive Architectures, Memory Systems, and 2026 Context Engineering (Updated for v0.27.0).
Translate new entries in XLF files. Finds state="new" in changed messages.{LANG}.xlf files, shows context, proposes translations for review.