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数据科学工程师（赛奇 Sage）。使用 Python 进行数据清洗、探索性数据分析（EDA）、统计建模、机器学习、特征工程与模型评估。输出可复现的分析结论与代码。 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 Phase 1 文件分析或 Phase 2 深度分析任务时激活。

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设计系统专家 - 从 71 套品牌级设计系统匹配最佳方案，定制设计令牌和品牌规范

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洞察报告撰写师（若溪 Rex）。综合多源数据分析结果、知识检索发现和可视化图表，撰写结构化分析报告。输出包含执行摘要、核心发现、图表和决策建议的 HTML/Markdown 报告。 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 Phase 3 报告撰写任务时激活。也可响应纯报告撰写需求。

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个股研究员（颜一深）。擅长单只股票全方位深度研究——业务构成、竞争格局、财报解读、公司质地评分、投资逻辑提炼。 在 A 股研究团队中由主理人调度，参与 Workflow 1 / Workflow 4。 擅长：公司基本面全景（业务、行业地位、护城河）、财报核心指标解读（营收/利润趋势、现金流、ROE）、公司质地多维评分（商业模式/管理层/财务健康/成长性，100 分制）、投资逻辑提炼（核心看点 + 主要风险）、近期重大事件与动态。

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Run a dogfooding session for hyalo — build from source, exercise the CLI against real knowledgebases (own KB, MDN, GitHub Docs, VS Code docs), find bugs, verify recent fixes, assess UX, measure performance, and write a structured report. Use this skill whenever the user says /dogfood, "dogfood", "run a dogfood session", "test hyalo against real data", or wants to exercise hyalo on real knowledgebases to find issues.

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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.

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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.

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"Apply the Knowledge-Based View (Grant, 1996) and Nonaka and Takeuchi's SECI model to analyze how organizations create, transfer, and integrate knowledge for competitive advantage. Use this skill when the user needs to design knowledge management systems, understand why knowledge transfer fails across teams, evaluate knowledge creation processes, or when they ask 'how do we capture tacit knowledge', 'why does knowledge stay siloed', or 'how can we turn individual expertise into organizational capability'.".

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Maakt regelrecht-scenario's vindbaar en hun norm-ketens leesbaar/geassert. Aan de invoerkant — vertaal een platte lijst leaf-parameters naar benoemde casus-assen + een herbruikbare persona-bibliotheek, met een reverse-lookup casus-matrix. Aan de uitvoerkant — maak de norm-keten zichtbaar via keten-checkpoints (assert elke knoop op het kritieke pad, niet alleen de endpoint) en golden-trace-snapshots + branch-coverage. Gebruik dit bij het schrijven of opschonen van scenario-/feature-files, het terugvinden of ontwerpen van een specifieke casus in een grote variabelenlijst, het reviewen van engine-traces, of het regressie-bestendig maken van cross-law-ketens zodat een ketenfout niet stil achter een correcte endpoint verdwijnt. Dossier-agnostisch; de regelrecht-methode is de vaste taal. Haakt aan op regelrecht-stelselanalyse (engine-tests / meta-check) en regelrecht-audit-products (testcase-scenario's).

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Activeer bij het samenstellen van NLDD Storybook web components tot pagina's en layouts — beschrijft de verplichte component-hiërarchie, nesting-regels en beschikbare layout-patronen

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Turn launch dates, campaign inputs, and asset requests into a structured content calendar and workback plan. Use when the work is recurring marketing coordination and schedule packaging. Do not use for brand strategy, positioning design, or deep performance interpretation.

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Phase 4 of the feature-pipeline suite. Use this after /fp-review has posted a sandbox review comment — it reads the outstanding checkbox items, applies fixes, then watches CI until green (or exits cleanly so you can retry). Trigger phrases: "address review items", "fix review feedback", "resolve review checklist", "watch CI", "poll CI", "check if CI is green", "iterate on PR", "fp-iterate", "Phase 4", "after review comment", "fix the review issues and watch CI". Always bounded — max 10 poll rounds, never loops forever. Exits with a clear status: green (hands off to /fp-drift), still-pending (re-invoke), or failed (diagnose before touching anything).

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Audit a spreadsheet for formula accuracy, errors, and common financial-model mistakes. Use for selected ranges, single sheets, or whole-workbook model checks including balance-sheet balance, cash tie-out, roll-forwards, and logic sanity.

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Unity 6 multiplayer and networking guide. Use when building multiplayer games, working with Netcode for GameObjects, NetworkManager, NetworkObject, NetworkBehaviour, RPCs (ServerRpc, ClientRpc), NetworkVariables, or Unity multiplayer services (Relay, Lobby). Covers client-server architecture, state synchronization, and scene management. Based on Unity 6.3 LTS documentation.

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用于添加或审查 Progressive Web App 能力，如可安装性、manifest 元数据、Service Worker 注册、Workbox 缓存、离线兜底、应用更新提示、maskable icons 或 iOS PWA 兼容性。不要用于普通 API 缓存或不可安装的性能调优；中文触发词包括 PWA、离线、Service Worker。

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Use when adding or reviewing Progressive Web App capabilities such as installability, manifest metadata, Service Worker registration, Workbox caching, offline fallback, app update prompts, maskable icons, or iOS PWA compatibility. Do not use for general API caching or non-installable performance tuning; Chinese triggers include PWA, offline, Service Worker.

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Comprehensive social media operations for B2B SaaS brand building and engagement. Use this skill to develop LinkedIn strategy, decide whether to run a LinkedIn newsletter and how to scope it, capture consented registrations from LinkedIn Events, check LinkedIn Live eligibility, manage Twitter/X presence, create YouTube content, engage on Reddit communities, decide whether and how to answer on Quora, build community, develop influencer and creator partnerships, vet a creator before paying them, start or fix a B2B podcast, book podcast guests and guest appearances, judge whether a podcast is worth appearing on when you cannot audit its numbers, write show notes and transcripts, run social listening (what are people saying about us, share of voice, brand monitoring, validated sentiment, alert thresholds, routing signals to the right owner), and execute organic social campaigns. Also triggers on: LinkedIn, LinkedIn newsletter, LinkedIn Events, LinkedIn Live, event registration form, subscribe to our newsletter on LinkedIn, marketing consent checkbox, Notify Employees, Twitter/X, YouTube, Reddit, community, influencer, creator partnerships, influencer vetting, engagement rate, fake followers, engagement pods, FTC disclosure, sponsored post disclosure, media kit, social media strategy, organic social, employee advocacy, podcast, podcast strategy, podcast guesting, how do I know if this podcast has real listeners, the host says they get 50k downloads, is this podcast worth going on, podcast RSS feed research, IAB podcast measurement certification, Listen Score, Apple Podcasts reviews, show notes, audiogram, episode transcript, social media account access, who has admin on our LinkedIn page, the person who ran our social accounts left, locked out of our company account, social media offboarding, YouTube channel owner, Slack primary owner, social account MFA, social media approval workflow, pause all scheduled posts, social listening, what are people saying about us, brand monitoring, brand mentions, share of voice, social share of voice vs competitors, sentiment analysis, is our sentiment dashboard accurate, listening query, boolean query, mention alerts, spike alert, CrowdTangle replacement, Reddit API access, which platforms can our listening tool see, someone on Reddit asked for a tool like ours, comment mining, voice of customer from social.

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Use when a task needs the judgment of an EMT (Basic Life Support tier) — deciding whether a chest-pain patient gets aspirin under protocol, dosing an epinephrine auto-injector for anaphylaxis and knowing when to repeat it, applying spinal-motion-restriction criteria instead of routine backboarding, recognizing the moment a call exceeds BLS scope and requesting ALS intercept, or working a patient refusal (AMA) to a legally defensible conclusion.

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Verify Spring Boot 4.x projects for correct dependencies, configuration, and migration readiness. Use when analyzing pom.xml, build.gradle, application.yml, discussing Spring Boot project setup, dependency versions, configuration validation, version compatibility, migration to Spring Boot 4, deprecated dependencies, or when user mentions "verify project", "check dependencies", "upgrade Spring Boot", "migration readiness", "Jackson 3", "@MockBean deprecated", or "Spring Security 7".

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Spring Boot 4 testing strategies and patterns. Use when writing unit tests, slice tests (@WebMvcTest, @DataJpaTest), integration tests, Testcontainers with @ServiceConnection, security testing (@WithMockUser, JWT), or Modulith event testing with Scenario API. Covers the critical @MockitoBean migration from @MockBean.

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Comprehensive SEO analysis for any website or business type. Orchestrates 52 sub-skills (52 active): full site audits, technical SEO (CWV/INP), schema, E-E-A-T content quality, images, sitemaps, GEO for AI Overviews, llms.txt generation, AI crawler audit, plus live GSC and Ahrefs MCP data. GSC: overview, drops, opportunities, brand-vs-nonbrand, cannibalization, compare, content-decay, index-issues, new-keywords. Ahrefs: overview, backlinks, keywords, competitors, content-gap, broken-links, new-links, anchor-analysis, dr-history, top-pages. Cross-MCP: serp, content-brief, brand-radar, site-audit-pro, report. Local: log-analysis, ai-content-check, internal-links, local, migration-check, obsidian-kb. AI Readability: llms-txt, robots-ai. Performance: lighthouse-audit, core-web-vitals, page-experience. Quality & AI Search: rich-results, ai-optimization, eeat-audit, helpful-content. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "structured data", "GSC", "Ahrefs", "backlinks", "keywords", "search console", "domain rating", "local SEO", "migration", "lighthouse", "pagespeed", "LCP", "INP", "CLS", "page experience", "interstitials", "mobile friendly", "rich results", "rich snippets", "schema eligibility", "AI optimization", "AI search readiness", "EEAT", "trust signals", "helpful content", "people-first", "content quality gate".

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Build an Obsidian knowledge base from a sitemap — bulk-fetch pages via Python, generate Obsidian-optimized MD notes with parallel agents

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。

Spreadsheet automation — reading, writing, and analyzing Excel workbooks — use for xlsx generation, parsing, and data workflows.

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Audit a pharmaceutical regulatory submission system -- evaluate eCTD backbone assembly and XML validation, CTD module completeness (Modules 1-5), FDA ESG and EMA CESP gateway integration, document authoring and publishing workflows, ICH M4/M8/E3 guideline compliance.

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。