4,437 件 ・ 関連度順
概要と使いどころ
/cs:vpe-review <plan> — Throughput-first VP of Engineering interrogation of any plan that touches delivery, eng hiring, team structure, or production discipline. Use when cycle time balloons, DORA metrics slide, or before committing to an eng hiring wave or a reorg.
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。
Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only — does not duplicate engineering/business-growth tactical skills.
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。
Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only.
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。
Marketing leadership for scaling companies. Brand positioning, growth model design, marketing budget allocation, and marketing org design. Use when designing brand strategy, selecting growth models (PLG vs sales-led vs community-led), allocating marketing budgets, building marketing teams, or when user mentions CMO, brand strategy, growth model, CAC, LTV, channel mix, or marketing ROI.
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。
Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics (API-to-self-hosted breakeven), and AI team org evolution. Use when deciding whether to call an API or fine-tune, classifying AI use cases for regulatory risk, calculating when self-hosting pays off, sequencing AI hires, or when user mentions CAIO, AI strategy, model selection, foundation model, fine-tuning, EU AI Act, NIST AI RMF, AI governance, model risk, or AI economics. Strategic only — does not duplicate engineering AI/ML skills.
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。
cmux package architecture, refactor layering, dependency inversion, file organization, DocC documentation, package design discipline, testability, and Swift 6 concurrency rules. Use before adding or meaningfully rewriting Swift files, Swift packages, coordinators, services, repositories, or public package APIs.
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 or review icons for Kilo's VS Code extension, webviews, and shared icon registry.
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 adding or moving code across shared/frontend/backend modules in packages/kilo-jetbrains/ — split-mode RPC contracts, serialization classloader pitfall, threading/EDT annotations, services and coroutine scopes, EDT test rules, dependency bundling, and the CLI server protocol.
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 creating, triaging, or commenting on GitHub issues for the Kilo VS Code extension or JetBrains plugin via `gh`. Covers issue templates, project board assignment, title conventions, and required `gh` scopes.
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。
OpenCode Desktop should be RTL-aware. Use when implementing or reviewing RTL/LTR behavior in the web app, desktop app, CSS, menus, scrolling, resizing, icons, mixed-direction text, or Electron title bars.
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 building, running, or debugging the JetBrains plugin — Gradle build/typecheck tasks, sandbox runIde* modes and recovery, stopping sandbox runs, dev storage isolation, debug/chat logging, CLI pin modes and pin bumping.
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 writing or reviewing UI code in packages/kilo-jetbrains/ — Swing layout, platform components, UiStyle tokens, theme colors/fonts/borders, Stack/Align layouts, tool windows/dialogs/popups/notifications, settings pages, and the pre-return UI checklist.
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 pinning or unpinning the CLI version the Kilo JetBrains plugin uses, or fresh-regenerating the local repo CLI. Cleans all leftover CLI binaries and build artifacts in the current worktree so every operation starts from a fresh, artifact-free state.
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。
Work with Effect v4 / effect-smol TypeScript code in this repo
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 or review IntelliJ New UI SVG icons, theme variants, sizes, and palette.
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 changing shared upstream-owned files to add Kilo-specific behavior, editing `kilocode_change` markers in shared code, or moving additive behavior out of shared code to reduce upstream merge conflicts. Do not use for changes confined to Kilo-owned paths such as `packages/kilo-vscode/` or `packages/kilo-ui/`.
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 working on the JetBrains chat session UI or SessionModel/SessionController — transcript cards, retained Swing lifecycle, session background surfaces, editor-derived styling, adding session events, and session/controller testing with FakeSessionRpcApi.
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 to visualize data with charts, graphs, or plots using the `chart` tool (bar, line, scatter, pie, time series, etc.).
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。
Write Storybook stories and visual regression tests for the Kilo VS Code extension webview UI
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。
Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.
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 professional, dark-themed SVG diagrams of any type — architecture diagrams, flowcharts, sequence diagrams, structural diagrams, mind maps, timelines, illustrative/conceptual diagrams, and more. Use this skill whenever the user asks for any kind of technical or conceptual diagram, visualization of a system, process flow, data flow, component relationship, network topology, decision tree, org chart, state machine, or any visual representation of structure/logic/process. Also trigger when the user says "画个图" "画一个架构图" "diagram" "flowchart" "sequence diagram" "draw me a ..." or uploads content and asks to visualize it. Output is always a standalone .svg file.
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。
Connect to Pascal and use its MCP tools to create, inspect, edit, validate, save, or hand off editable 3D building scenes. Use this skill whenever a user asks an agent to work in Pascal, make a room or building model, inspect a Pascal project, perform spatial edits, connect Pascal MCP, or return a verified Pascal editor link. It also governs safe local, existing-account, and explicitly authorized autonomous setup.
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。
Assess whether furniture fits in a measured Pascal room or layout. Use this skill for sofa, table, bed, cabinet, appliance, staging, placement, collision, clearance, or rotated-footprint questions. Produce a tool-backed spatial report that distinguishes footprint fit from unsupported height, door-swing, assembly, and delivery-route claims, and return insufficient evidence when dimensions or scale are missing.
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。
Review a PR against the Pascal architectural rules — package boundaries (core/viewer/editor/nodes), the registry-driven composition model (def.geometry / def.renderer / def.system), legacy-dispatch regressions, the slots + world-scale-UV convention for new nodes/geometry, hook hygiene (useEditor/useScene/useViewer), and selector performance. Use when the user asks to review a PR, audit a branch, or check that changes respect the codebase's architecture.
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。