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Found 36 Skills
Expert guidance for GraalVM native image development with Java frameworks, build optimization, and high-performance application deployment
Persona + messaging framework for K-12, higher-ed, and workforce enrollment campaigns.
Scala 3.4+ development specialist covering Akka, Cats Effect, ZIO, and Spark patterns. Use when building distributed systems, big data pipelines, or functional programming applications.
Code review skill for analyzing code quality, detecting bugs, and ensuring best practices. Provides comprehensive code review with actionable feedback. Use proactively when user requests code review, quality check, or bug detection. Triggers: code review, review code, check code, analyze code, bug detection, 코드 리뷰, 코드 검토, 버그 검사, コードレビュー, バグ検出, 代码审查, 代码检查, revisión de código, revisar código, detección de errores, revue de code, réviser le code, détection de bugs, Code-Review, Code überprüfen, Fehlererkennung, revisione del codice, rivedere codice, rilevamento bug Do NOT use for: design document creation, deployment tasks, or gap analysis (use phase-8-review).
CLI best practices for LlamaFarm. Covers Cobra, Bubbletea, Lipgloss patterns for Go CLI development.
Review RFCs for problem clarity, compliance, security, and performance using SCQA framework
Meta-skill for building and managing agent persona skill packs. Use when the user wants to create a new agent persona, install/manage existing personas, or publish persona skill packs to ClawHub.
Answer questions about OCSF (Open Cybersecurity Schema Framework). Use when the user asks about OCSF classes, objects, attributes, profiles, extensions, or event normalization.
Skill global de TrackOps para explicar que hace TrackOps, exigir la instalacion explicita del runtime con npm y guiar la activacion local de proyectos y OPERA en cada repositorio.
Write cold emails that get replies using proven frameworks (AIDA, PAS, BAB). Enforces best practices like 50-125 word limit and personalized openers.
Analyze a Figma frame's structure, properties, and implementation considerations
Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.