740 件 ・ 関連度順
概要と使いどころ
Skill for direct usage of Reka UI v2 headless primitives (the foundation of shadcn-vue). Use when you need to compose custom components beyond those available in shadcn-vue, understand asChild/as, controlled state, portals, or migrate from Radix Vue.
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。
Decompose an approved PWDEV Flow specification into dependency-aware waves and atomic executable tasks. Use when design is approved and the user needs exact file scope, test-first actions, verification commands, and an execution gate.
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 an approval-gated product requirements document or decompose an approved PRD into a traceable roadmap. Use for product-level problems, new initiatives, multi-feature scope, PRDs, release outcomes, or roadmap planning.
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。
Quality gates determinísticos para PHP e Laravel. Use quando o usuário pedir "quality gate PHP", "quality gate Laravel", "PHPStan", "Larastan", "Pest", "PHPUnit", "PHPMD", "Composer Audit", cobertura PHP ou baseline PHP.
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 only when the user explicitly types `/orchestrate goal` to decompose a large task, spawn a tree of parallel cloud-agent workers/subplanners/verifiers via the Cursor SDK, and collect structured handoffs; do not invoke autonomously.
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。
參考圖解析 SKILL — 從截圖、Figma 連結或參考 PNG 中，分解出 proof draft（visualZones + componentIntents + spacingRecipe + contentSlots + unresolved notes）。USE FOR: 拿到新畫面設計稿或截圖時，作為 UI production pipeline 第 1 步。DO NOT USE FOR: 直接生成 normalized recipe 或 screen package（需先完成此步再進 family / MCQ 收斂）。
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。
UI Family 架構師 SKILL — 讀取 proof draft，為每個 visualZone 分配 structural family、themeStack 與 recipe seed，驗證 family 可用性，輸出 family-map 與 recipe 預填欄位。USE FOR: 在 ui-reference-decompose 完成後，進行 family 分派、family-map 產出與 recipe 選擇（UI pipeline Step 2）。DO NOT USE FOR: 直接產生 layout skeleton 或 asset 任務（需先完成此步）。
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。
BROWSER VFX ACCEPTANCE SKILL — Use built-in browser/headless browser to automatically verify Cocos VFX block effects and composed VFX recipes in BattleScene preview (`http://localhost:7456`, `previewMode=true`, `previewTarget=5`). USE FOR: VFX health audit, per-block smoke validation, combo recipe regression checks before merging `vfx-block-registry.ts` / `vfx-effects.json`. DO NOT USE FOR: Cocos Editor window screenshot capture, compile-error debugging, or pure log-only diagnosis without browser preview.
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, inherit, compose, localize, and validate YAML prototypes in the correct resource root.
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。
Identify the right tool for a process step. Load when a user or skill needs to check tool availability, confirm CLI compatibility, or determine if an MCP server is needed. Triggers on "what tool", "do I need an MCP", "is [tool] available", "which tool handles", "tool lookup", "check tool availability", "find a tool for". Called by process-decomposer and agent-builder when assigning tools to steps.
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。
Find the right skill for a capability. Load when a user or skill needs to check if a skill exists for a given task, when process-decomposer assigns skills to steps, or when agent-builder checks skill availability. Triggers on "what skill does this need", "find a skill for", "is there a skill that", "which skill handles", "does a skill exist for", "skill lookup", "check skill library". Prevents skill sprawl by always checking existing skills before creating new ones. The gatekeeper for all skill creation.
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。
Route user requests to the right skill, decompose complex work into parallel subagents, and manage project phase transitions. Load when the user asks "what should I do next", "which skill should I use", "orchestrate this", "run the full workflow", "split this into parallel tasks", or when a complex request spans multiple skills. Also triggers on "coordinate agents", "parallel execution", "task decomposition", "agent workflow", "what phase am I in", or when the user gives a broad instruction that requires multiple skills in sequence. This is the project's brain — it decides what runs, when, and whether to parallelise.
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。
Tactical fast path: turn a small problem, bug report, edit request, or narrow refactor into three deliverables — a brief change-spec (docs/specs/), a detailed implementation-ready plan (docs/plans/), and a TODO.md with agent-pickable tasks and milestones. Load when the user describes a tactical problem and wants quick planning artifacts, says "plan this change", "create a TODO", "write a plan for this", "problem to plan", "break this into tasks for agents", "I want to change X — plan it", or when process-decomposer routes here after determining the user needs lightweight planning deliverables. Also triggers on "create tasks from this problem", "make this actionable", or "turn this into a plan agents can execute". For feature-sized work that needs an executable spec + constitution + cross-check gate, route to `spec-driven-development` (or `feature-spec`) instead.
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。
Decompose an unknown quantity into 3-5 estimable factors and produce a defensible order-of-magnitude answer without needing precise data. Load when the user needs to size something without data — market size, resource requirements, effort estimates, user numbers, costs — or when a decision is blocked by "we don't know the numbers". Also triggers on "ballpark this", "rough estimate", "how big is this market", "how long would this take", "how many users", or when deep-thinking diagnoses a sizing/estimation frame. The goal is not precision — it is a defensible answer that enables a decision to be made. Based on Enrico Fermi's estimation method.
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。
Save a Prisma Composer app to GitHub, connect its existing Prisma project, and enable or diagnose default-branch automatic deployments. Use when the user accepts the offer to save their code to GitHub and connect it to Prisma for automatic updates, accepts the shorter GitHub-saving offer, or directly requests this setup, including resuming an interrupted connection. Do not start GitHub setup for an ordinary build/deploy request, unrelated Git work, or a request to deploy an app before a live target has been established.
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。
Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in Nature/Cell convention, and journal-spec sizing. Covers patchwork ≥1.2.0 axes='collect' feature, Type-42 font embedding, and the cairo_pdf save path. Use when composing 2+ subpanels into a single figure for journal submission.
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。
Decompose total effects into direct and indirect paths through mediators using mediation, CMAverse 4-way, HIMA/HIMA2 high-dimensional, BAMA, two-step / MVMR mediation, or double-ML medDML. Use when testing whether a molecular phenotype (expression, methylation, protein) mediates a treatment-outcome relationship, decomposing exposure-mediator interaction via VanderWeele 4-way, screening high-dimensional EWAS mediators, or running MR-based mediation when sequential ignorability is implausible.
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。
Three.js post-processing - EffectComposer, bloom, DOF, screen effects. Use when adding visual effects, color grading, blur, glow, or creating custom screen-space shaders.
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。
PSR-4 autoloading standard knowledge base for PHP 8.5 projects. Provides quick reference for namespace-to-path mapping, composer.json configuration, directory structure, and common mistakes. Use for autoloading audits and project structure reviews.
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。
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
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。
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.
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。
Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.
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Use when: User wants to extend Docker with custom tools, personalize the Docker environment, or set up user-specific Docker customization. Triggers: 'extend docker', 'docker-extend', 'add tools to docker', 'customize docker', 'add my tools to the container', 'personalize docker setup', 'docker user setup', 'install tools in docker'. Does: Interactively sets up Dockerfile.user and docker-compose.override.yml so users can add personal tools to their Docker environment without affecting maintainer files or committing user-specific config to git.
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。
Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
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。