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概要と使いどころ
Core knowledge for migrating integrations from other platforms (Boomi, Cyclr) to Prismatic Code Native Integrations. Provides the standard integration schema, schema-to-spec mapping, confidence scoring, and migration-aware code generation patterns. Use when the user says "migrate", "convert from Boomi/Cyclr", "parse this export".
日本語の概要は準備中です。原文の説明を表示しています。
知识检索专家（瑞卡 Rika）。使用 RAG 技术处理多格式文档（PDF/Word/Excel/Markdown/HTML），构建向量知识库，进行语义检索并为问答提供带来源引用的上下文增强回答。 触发词：由 copilot-team-lead 主理人调度执行，不直接面向用户。当主理人下发文档检索、知识提取或 Phase 4 知识增强任务时激活。
日本語の概要は準備中です。原文の説明を表示しています。
智数分析专家团主理人（诺亚 Nova · 首席数据编排师）。协调 5 位专业成员（sql-analyst、data-scientist、knowledge-researcher、dashboard-designer、report-composer）按预设 Workflow 完成端到端数据分析交付。 触发词："分析数据"、"生成报告"、"数据画像"、"查数据库"、"数据分析"、"帮我分析"、"数据可视化"、"仪表盘"。 路由逻辑：单一维度任务走单 agent 直调；综合性任务走对应 Workflow。
日本語の概要は準備中です。原文の説明を表示しています。
Rebuild the Galyarder Knowledge Graph and Obsidian World Map. Essential for structural RAG and multi-platform synchronization.
日本語の概要は準備中です。原文の説明を表示しています。
Digital Garden & Visual Architect. Use this agent to manage the Obsidian Knowledge Base, create visual logic maps via JSON Canvas, and maintain the automated development journal. It bridges the gap between abstract ideas and structured documentation. When the host supports them, use the Obsidian-focused skills and integrations for CLI, Bases, Markdown, Canvas, and defuddling workflows. When the host supports them, use the Obsidian-focused skills and integrations for CLI, Bases, Markdown, Canvas, and defuddling workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive, data-backed email marketing knowledge base. 908 sources, 4,798 insights. Use when reviewing email setups, building automation flows, diagnosing deliverability, writing email copy, selecting platforms, or pulling Standards. Covers strategy, flows, deliverability, copywriting, segmentation, compliance, cold email, and 19 industry playbooks.
日本語の概要は準備中です。原文の説明を表示しています。
Use the hyalo CLI instead of read/edit/grep/write when working with markdown (.md) files that have YAML frontmatter. This skill MUST be consulted whenever pi is working with markdown documentation directories, knowledgebases, wikis, notes, Obsidian-compatible collections, Zettelkasten systems, iteration plans, or any collection of .md files with frontmatter. Trigger this skill when: searching or filtering markdown files by content, tags, or properties; reading or modifying YAML frontmatter; managing tags or metadata across documents; toggling task checkboxes in markdown; getting an overview of a documentation directory; querying document properties or status fields; bulk-updating metadata across many markdown files; or when you find yourself repeatedly using read/edit/grep/write on .md files. Even if the user does not mention "hyalo" by name, use this skill whenever the task involves structured markdown documents with frontmatter. For pi sessions, ALWAYS use `--format text` for compact, LLM-friendly output.
日本語の概要は準備中です。原文の説明を表示しています。
Audit or tidy a Hyalo knowledgebase for broken links, orphan documents, stale content, and inconsistent metadata.
日本語の概要は準備中です。原文の説明を表示しています。
Search and edit structured markdown knowledgebases with the Hyalo CLI: frontmatter, tags, tasks, links, and document structure.
日本語の概要は準備中です。原文の説明を表示しています。
Maintain Open Knowledge Format vaults with Hyalo's OKF index, log, and conformance commands.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about phishing campaigns, social-engineering techniques, BEC (business email compromise), pretexting, AiTM (adversary-in-the-middle) kits, or specific phishing-kit families. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about the ransomware ecosystem, RaaS dynamics, affiliate markets, attribution between groups, leak-site behaviour, or recent group activity (LockBit lineage, ALPHV/BlackCat, RansomHub, Akira, Play, Qilin, Cl0p, Medusa, etc.). Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about Russian state-sponsored cyber operations or specific actors (APT28/Fancy Bear, Sandworm, Cozy Bear/APT29, Turla, GRU-affiliated hacktivist fronts like CARR/NoName057), wartime ICS/OT campaigns, or pro-RU information operations. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about supply-chain attacks, third-party / vendor compromise (SolarWinds, Kaseya, 3CX, MOVEit, XZ-utils-style), software-bill-of-materials risks, or library / dependency-injection attacks. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about Chinese state-sponsored cyber operations or specific PRC-aligned actors (APT41, Volt Typhoon, Mustang Panda, APT10, APT31, Salt Typhoon, etc.), MSS/PLA-attributed campaigns, or PRC sector targeting. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about North Korean state-sponsored cyber operations or specific DPRK actors (Lazarus, APT38, BlueNoroff, Andariel, Kimsuky, etc.), revenue-generation campaigns, IT-worker schemes, or DPRK targeting of cryptocurrency / supply chain. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about hacktivist activity (Killnet, NoName057(16), IT Army of Ukraine, Anonymous Sudan, RipperSec, CARR, etc.), DDoS-claiming groups, politically-motivated cyber operations, or wartime cyber-ops chatter. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about Iranian state-sponsored cyber operations or specific IRGC/MOIS-aligned actors (APT35/Charming Kitten, APT34/OilRig, MuddyWater, Imperial Kitten, etc.), wiper campaigns, front-group hacktivist personas (Handala, Cyber Av3ngers), or anti-Iran operations such as Predatory Sparrow. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about infostealer families (LummaC2, RedLine, Vidar, Stealc, Raccoon, Rhadamanthys, etc.), log marketplaces (Russian Market, Genesis successors, BidenCash, Hudson Rock corpus), or stealer-driven incidents and credential exposure. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about initial access brokers (IABs), the access-listing market, ransomware-feeding-IAB pipelines, specific broker handles, or how access is priced and packaged. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about carding, BIN attacks, payment-card breach markets, fullz/CVV2 trade, autoshops (BidenCash, Brian's Club, Russianmarket, B1ack's Stash), or financial-fraud TTPs. Self-updating knowledge cell.
日本語の概要は準備中です。原文の説明を表示しています。
Iterative literature-review workflow for a research topic. Use this skill to draft up to 10 search keywords, build a seed set from OpenAlex title-and-abstract matches, expand by backward and forward citations, screen candidates by title and abstract, repeat until no new relevant papers remain, rank the final set, inspect up to 30 full texts, build a concept-reference knowledge graph, and write a literature review grounded only in the final included references.
日本語の概要は準備中です。原文の説明を表示しています。
Create specialized agent experts with pre-loaded domain knowledge using the Act-Learn-Reuse pattern. Use when building domain-specific agents that maintain mental models via expertise files and self-improve prompts.
日本語の概要は準備中です。原文の説明を表示しています。
Create, update, review, fix, or debug VS Code agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). Use for: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax.
日本語の概要は準備中です。原文の説明を表示しています。