Blockchain

Expert on Aptos token standards including fungible tokens (Coin, Fungible Asset), non-fungible tokens (Digital Asset standard, Token V1/V2), collections, metadata, minting, burning, and transfer patterns. Triggers on keywords token, nft, fungible asset, coin, digital asset, collection, mint, burn, metadata, royalty

Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus, Grafana, Datadog, New Relic, ELK stack, logs, metrics, traces, on-call, production monitoring, health checks, uptime, availability, dashboards, post-mortem, incident management, runbook. Completes SDD Stage 8 (Monitoring) with comprehensive production observability: - SLI/SLO definitions and tracking - Monitoring stack setup (Prometheus, Grafana, ELK, Datadog, etc.) - Alert rules and notification channels - Incident response runbooks - Observability dashboards (logs, metrics, traces) - Post-mortem templates and analysis - Health check endpoints - Error budget tracking Use when: user needs production monitoring, observability platform, alerting, SLOs, incident response, or post-deployment health tracking.

Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus, Grafana, Datadog, New Relic, ELK stack, logs, metrics, traces, on-call, production monitoring, health checks, uptime, availability, dashboards, post-mortem, incident management, runbook. Completes SDD Stage 8 (Monitoring) with comprehensive production observability: - SLI/SLO definitions and tracking - Monitoring stack setup (Prometheus, Grafana, ELK, Datadog, etc.) - Alert rules and notification channels - Incident response runbooks - Observability dashboards (logs, metrics, traces) - Post-mortem templates and analysis - Health check endpoints - Error budget tracking Use when: user needs production monitoring, observability platform, alerting, SLOs, incident response, or post-deployment health tracking.

Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.

Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definition Trigger terms: requirements, EARS format, user stories, functional requirements, non-functional requirements, SRS, requirement analysis, specification, acceptance criteria, requirement validation Use when: User requests involve requirements analyst tasks.

This skill should be used when the user asks to "create an agent", "write a subagent", "generate agent definition", "add agent to plugin", "write agent frontmatter", "create autonomous agent", "build subagent", needs agent structure guidance, YAML frontmatter configuration, invocation criteria with examples, or wants to add specialized subagents to Claude Code plugins with proper capabilities lists and tool access definitions.

Transform UI style requirements into production-ready frontend code with systematic design tokens, accessibility compliance, and creative execution. Use when building websites, web applications, React/Vue components, dashboards, landing pages, or any web UI requiring both design consistency and aesthetic quality.

Tailwind CSS styling patterns with mandatory eb- prefix for embedded components. Use when applying styles, creating UI, or working with design tokens. Keywords - Tailwind, CSS, styling, eb- prefix, responsive design, design tokens.

Search for relevant code snippets, examples, and documentation from billions of GitHub repositories, documentation pages, and Stack Overflow posts. Use this skill when coding tasks require real working code examples, API usage patterns, framework setup instructions, or library implementation details to eliminate hallucinations and provide accurate, token-efficient context.

Crypto wallet assistant for generating payment links for supported tokens (USDC, USDT, vUSD, ICP, CKUSDC) across multiple networks (Solana, Ethereum, Base, BSC, Vly, ICP), X402 redirect links for accessing payment-protected content, and providing access to the vly.money wallet interface. Use when users request to send/transfer crypto, mention 402 errors or payment-required content, or explicitly ask to access vly.money wallet.

Calculate and analyze Turkish electricity imbalance costs including KUPST (Kesinleşmiş Üretim Planından Sapma Tutarı/Production Plan Deviation Cost), positive/negative imbalance penalties, and DSG (Dengeden Sorumlu Grup) tolerance calculations. Use when asking about imbalance settlement, deviation costs, KUPST, energy surplus/deficit penalties, or imbalance calculations in Turkey. Triggers on: dengesizlik maliyeti, sapma tutarı, KUPST, KÜPST, enerji açığı, enerji fazlası, imbalance penalty.

Explains how SpecWeave achieves context efficiency through Claude's native progressive disclosure mechanism and sub-agent parallelization. Skills load only when relevant, sub-agents isolate context. Activates when users ask about context loading, token usage, or how SpecWeave scales. Keywords: context loading, progressive disclosure, token efficiency, sub-agents, context management.

Creates Agentforce agents using Agent Script syntax with 100-point scoring. Use when building AI agents, defining topics and actions, or deploying AiAuthoringBundle (v65+) or GenAiPlannerBundle (v65+) metadata.

Load project context efficiently for Conductor workflows. Use when starting work on a track, implementing features, or needing project context without consuming excessive tokens.

Second-pass context optimization that analyzes user prompts and removes irrelevant specs, agents, and skills from loaded context. Achieves 80%+ token reduction through smart cleanup. Activates for optimize context, reduce tokens, clean context, smart context, precision loading.

Expert in building scalable design systems with Atomic Design, design tokens, theming, and component libraries. Activates for design system, design tokens, atomic design, component library, design patterns, theming, brand consistency, UI library, Storybook, design system architecture, make it sleeky, premium design, modern aesthetic, beautiful UI, redesign, UI overhaul, improve design, visual refresh, sleek look, polished design, professional appearance, design refresh, modernize UI, elegant design, clean design, minimalist design, luxury aesthetic, high-end design, corporate design, brand design, visual identity.

Product roadmap and feature prioritization expert. Creates product roadmaps, prioritizes features using RICE/MoSCoW/Kano frameworks, defines success metrics and KPIs, and translates technical decisions into business impact. Activates for roadmap, prioritization, RICE, MoSCoW, Kano, product planning, feature ranking, success metrics, KPIs, stakeholder communication, business impact, Q1 Q2 Q3 Q4 planning, quarterly goals, release planning, feature prioritization.

Spec-driven brainstorming and product discovery expert. Helps teams ideate features, break down epics, conduct story mapping sessions, prioritize using MoSCoW/RICE/Kano, and validate ideas with lean startup methods. Activates for brainstorming, product discovery, story mapping, feature ideation, prioritization, MoSCoW, RICE, Kano model, lean startup, MVP definition, product backlog, feature breakdown.

Natural language processing ML pipelines for text classification, NER, sentiment analysis, text generation, and embeddings. Activates for "nlp", "text classification", "sentiment analysis", "named entity recognition", "BERT", "transformers", "text preprocessing", "tokenization", "word embeddings". Builds NLP pipelines with transformers, integrated with SpecWeave increments.

Standard Operating Procedure for /tasks phase. Covers task sizing, acceptance criteria definition, and TDD-first task sequencing. (project)