「fea」の検索結果

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

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。

Shape FriendlyBet product decisions, MVP scope, user stories, tournament flows, multi-sport expansion, pool mechanics, social competition loops, and feature prioritization. Use when planning what FriendlyBet should build, cut, sequence, or validate, especially for new sports, prediction formats, pool flows, leaderboards, sharing, or product strategy.

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。

Act as FriendlyBet's CEO and primary front door for every FriendlyBet request through automatic company preflight. Own end-to-end routing, planning, execution coordination, department orchestration, decision-rights enforcement, quality gates, board-style reporting, and escalation only for strategic, legal, brand, cost, risk, or taste decisions. Use by default in FriendlyBet threads, with full department planning for broad, ambiguous, strategic, cross-functional, or outcome-driven requests such as SEO, new features, multi-sport expansion, product direction, release execution, company operations, or agent coordination.

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 this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

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。

Prevent tool call conflicts when making concurrent edits across a codebase. Establishes strict file ownership, interface contracts, and merge strategies. Use with parallel-agents when executing concurrent code changes.

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 before any creative work — creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements, and design before implementation.

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。

Execute recursive breadth-before-depth ideation discovery with Deep Think, CX gate enforcement, and feature deepening

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。

Cascade approved evolution changes through downstream layers, assess impact, run consistency checks, and write evolution audit record

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。

Orchestrate concurrent analysis or implementation across independent domains. Use when a task can be decomposed into independent workstreams (e.g., via simultaneous tool calls or background processes) — spec writing, code review, security audit, feature implementation.

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。

Capture and classify new scope, write entry-point updates, and determine downstream cascade scope

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。

Introduce genuinely new scope into the pipeline by classifying change type and cascading updates through downstream layers

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。

Per-screen design spec generator for AI design tools (Stitch / Figma AI / Claude artifacts). Consumes per-feature PRDs from kta-prd-pipeline. Emits tool-agnostic markdown specs. Triggers — design spec, AI design prompt, screen mockup brief, Figma AI input, Stitch prompt, design system tokens, post-PRD design phase, generate design specs, design brief, mockup spec. DOES NOT generate Compose code, Kotlin code, or @Preview stubs.

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。

Per-screen design spec generator for AI design tools (Stitch / Figma AI / Codex artifacts). Consumes per-feature PRDs from kta-prd-pipeline. Emits tool-agnostic markdown specs. Triggers — design spec, AI design prompt, screen mockup brief, Figma AI input, Stitch prompt, design system tokens, post-PRD design phase, generate design specs, design brief, mockup spec. DOES NOT generate Compose code, Kotlin code, or @Preview stubs.

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 test-driven development for behavior-changing feature or fix work, and whenever the user mentions TDD, test-first, red-green-refactor, tracer bullets, integration tests, or public-interface behavior tests. Skip for docs-only, path-only rename, formatting-only, or purely mechanical chores unless explicitly requested.

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。

Guide for implementing keyboard shortcuts in React using @tanstack/react-hotkeys. Use when building hotkey/shortcut features, registering keyboard shortcuts, handling key sequences, recording custom shortcuts, tracking held keys, or formatting hotkeys for display in React applications.

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。

Bu template'in konvansiyonlarina gore degisen dosyalari denetler — Cubit+Freezed state kullanimi, servis/locator yerlesimi, view tipi secimi, dort-durum ele alinisi, tasarim token'lari (renk/tipografi/padding/radius), LocaleKeys, TypedGoRoute, zorunlu <feature>.md ve very_good_analysis kurallari. Kullanici "degisiklikleri incele", "bu PR'i review et", "projeye uygun mu", "mimari kontrol", "review my changes" dediginde kullan.

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。

Turn a ready-to-spec queue item into an approved plan through explicit human gates. Use when an item needs scope decided before code exists, when planning a feature, or before starting a migration. Runs interactively - not for unattended routines.

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。

Reduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.

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。

Structured build workflow: branch, delegate to coding agent, test, screenshot, and commit. Triggers on: "$devprocess", "build this properly", "use the coding agent workflow", or any feature/refactor/infrastructure change that is too large for a direct edit. NOT for: one-line fixes, doc edits, prompt tweaks, or simple config changes — do those directly.

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 with Cursor — cursor AI-powered editor management and team analytics. Covers team seat management, usage tracking, model configuration, rules file analysis, project settings review, and workspace configuration. Use when managing Cursor team licenses, reviewing AI feature adoption, or analyzing Cursor workspace and rules configurations.

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 with Cargo — cargo Rust build and package management. Covers build configuration, workspace management, feature flags, build profiles, cross-compilation, and build script analysis. Use when managing Cargo workspaces, configuring build profiles, debugging compilation issues, or optimizing build performance.

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 with Aws Appconfig — aWS AppConfig configuration management and deployment analysis. Covers applications, environments, configuration profiles, deployment strategies, hosted configurations, and deployment status monitoring. Use when inspecting AppConfig deployments, reviewing feature flags, auditing configuration profiles, or debugging deployment rollbacks.

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。

Delegate coding to xAI Grok Build CLI (features, PRs).

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。

Audio spectrograms/features (mel, chroma, MFCC) via CLI.

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。