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Add a blockchain explorer transaction to the TRES Finance ledger. Use when the user provides a blockchain explorer URL (Etherscan, Polygonscan, Arbiscan, Basescan, Snowtrace, BscScan, etc.) or a raw transaction hash and wants to record it in the platform ledger. Trigger phrases include "add this transaction", "import tx from etherscan", "record this on-chain tx", "add to ledger".
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Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing ADX (RBAC/MI), automating cluster/schema deploys, tuning ingestion/queries, or integrating via ODBC/JDBC/Power BI, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).
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Scaffolds a structured investigation in scratch/ for empirical research and documentation. Use when the user says "start an investigation" or wants to: trace code paths or data flow ("trace from X to Y", "what touches X", "follow the wiring"), document system architecture comprehensively ("document how the system works", "archeology"), investigate bugs ("figure out why X happens"), explore technical feasibility ("can we do X?"), or explore design options ("explore the API", "gather context", "design alternatives"). Creates dated folder with README. NOT for simple code questions or single-file searches.
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Deep web research skill using parallel subagents + chromux browser-explorer + Gemini. Spawns multiple WebSearch research agents AND browser-explorer agents (via chromux for JS-heavy/dynamic sites), plus a Gemini CLI deep research source, then synthesizes everything into a cited report. Uses WebSearch, WebFetch, chromux browser-explorer, and Gemini CLI. Invoke with /deep-research <topic>.
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Explore a feature or CLI, reproduce defects and record bounded findings. Use for "explore X", "find issues with X", or the exploration stage of feature- pipeline; standalone runs return findings without automatically expanding scope.
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Scaffolds a structured investigation in scratch/ for empirical research and documentation. Use when the user says "start an investigation" or wants to: trace code paths or data flow ("trace from X to Y", "what touches X", "follow the wiring"), document system architecture comprehensively ("document how the system works", "archeology"), investigate bugs ("figure out why X happens"), explore technical feasibility ("can we do X?"), or explore design options ("explore the API", "gather context", "design alternatives"). Creates dated folder with README. NOT for simple code questions or single-file searches.
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Ideate a brand-new game concept with the user, from a blank page or a one-line hint to a finished CONCEPT card. Use it whenever the user wants to come up with a new game — whether the project has no design document yet, or already has one and they're exploring a fresh idea. Through a structured divergence/convergence dialogue it explores ideas, frames the hook, generates and scores concepts (market validation delegated to /unikit-gd-explore), and settles pillars, loops, motivation, and a pre-mortem. Trigger whenever the user wants to make or invent a game, doesn't know where to start, or gives a genre/theme hint, e.g. "let's come up with a game", "I don't know what game to make", "I want to make a roguelike", "a game about zombies", "a farming game", "help me come up with a concept". For researching or dissecting existing games use /unikit-gd-explore; to write an already-chosen concept as the master GDD use /unikit-gd-spec.
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Mandatory 3-phase explore-reason-act workflow before code modification. Enforces read-before-write, root cause hypothesis formulation, minimal change application. Triggered by "explore" ("탐색"), "reason" ("추론"), "read before write", "root cause" ("근본 원인") keywords.
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Manages your own skill landscape: surveys and compares existing skills (Audit mode), researches the web for new skills/plugins (Explore mode), and is at the same time the installer that generates lean subskills (Skill-Finder, family umbrella, maintenance skills) instead of loading a monolith. Use this skill for "compare/audit skills", "which skills are duplicated", "form skill families", "clean up/consolidate skills", "maintain the skill register", "find skills/plugins for topic X", "install new skills", "browse the skill marketplace", or for `/skill-explorer`. Delivers a sub-report per family and a globally numbered decision list; installs/uninstalls only after a security check and explicit approval.
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通过提问深入探索写作主题，收集有力的句子、经历、比喻和未成形的想法。不预先确定结构，而是将写作素材持续积累到一个Markdown文件中。
制作可交互的 HTML 原型来试验逻辑和状态变化，或在同一页面切换不同界面方案。通过操作验证设计疑问，记录结论，并将验证后的决定用于实际代码。
检查代码结构，找出妨碍理解和测试的问题，将改进候选方案整理成带前后对比图的HTML报告。选定方案后，通过对话进一步明确约束、依赖关系和设计决策。
根据产品或品牌特点，设计并生成圆润简洁、力求在32×32像素下仍可辨认的吉祥物。分别生成正方形候选图，标注设计信息，便于比较不同主题、配色和轮廓。
在浏览器中实际操作Web应用，检查表单、页面跳转、布局异常和JavaScript错误，并将问题整理成包含复现步骤、截图及严重程度分类的报告。
按关键词、作者、学科类别或ID查找arXiv论文，查看摘要与全文并生成引用信息。还可结合Semantic Scholar查询相关论文、参考文献和被引次数。
Generate several AI design options, view them on a comparison board, and collect organized feedback. Use the results to explore visual directions and refine designs when a feature’s appearance is undecided or an existing interface needs improvement.
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Delegate code lookup, small edits, and diff reviews to three specialized subagents. Their compact, structured results help conserve the main agent's context, with guidance on when to delegate and when to keep work in the main conversation.
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Add a live adjustment panel to an HTML page so viewers can explore colors, text sizes, spacing, themes, and motion. Changes appear immediately and are saved in the browser for the next visit.
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Connect RuView sensing data to AI agents through tools for presence, breathing, and heart rate. Explore agent coordination and prototype storing agent state and decisions alongside sensing data in a shared RVF container.
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Turn a structured LLM wiki into an interactive knowledge graph. It maps articles, topics, and sources, then adds entities and inferred relationships to help readers explore connections beyond the wiki’s explicit links.
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Analyze a Figma file and turn its pages, screens, components, instances, and design tokens—shared design values—into an interactive graph. Open the dashboard to explore the file's structure and relationships.
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Launch the Understand Anything web dashboard to explore an existing codebase knowledge graph, a map of its structure and relationships. Open the current project or a specified directory and receive the local access URL.
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Explore design ideas with three to five distinct rough options using wireframes, simple screen layouts, and storyboards. Compare structure and flow, then develop selected options while keeping earlier rounds available for reference.
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Find and install Codex skills from a curated catalog or a GitHub path. Check which skills are already installed, explore experimental options, and add skills from private repositories when credentials are available.
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