「serve」の検索結果

Analyze Amazon product, sales, Amazon Ads, retail-readiness, and Best Seller Rank data to find commercially actionable growth opportunities. Use when Codex needs to identify which ASINs, campaigns, keywords, search terms, product targets, placements, categories, or BSR movements deserve more investment, optimization, harvesting, bid/budget changes, retail-readiness fixes, investigation, protection, or controlled scaling across Sponsored Products, Sponsored Brands, Sponsored Display, search term reports, targeting reports, campaign reports, placement reports, advertised/purchased product reports, Business Reports, organic performance, and BSR history.

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 Amazon Ads optimization analysis, recommendations, approval packets, demos, recordings, or public artifacts must preserve exact source KPIs while masking account/profile/project names, products, ASINs, SKUs, campaigns, ad groups, keywords, search terms, targets, placements, filenames, URLs, and source-derived identifiers. Produces masked approval packets only; it must not directly mutate Amazon Ads.

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。

Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman:compress <filepath> or "compress memory 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。

Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman:compress <filepath> or "compress memory 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。

Use when a user wants a standalone browser-based visual companion for interactive mockups, diagrams, wireframes, layout comparisons, visual brainstorming, or clickable visual option selection. Starts a local zero-dependency Node server, writes HTML screens, and reads browser click events.

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。

Build or modify backend APIs, services, jobs, persistence, and integrations while preserving contracts, authorization, data integrity, and failure behavior. Use for server-side features, database changes, background processing, backend defects, and service refactors; do not use for frontend-only or infrastructure-only work.

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。

Separates signal from noise in metrics you cannot observe directly, updating a belief from evidence instead of reacting to the latest reading - Bayesian updates over competing explanations, and a filter that says whether this week's move is real. Use when a metric moves and someone wants to act, when diagnosing why traffic or revenue changed, when a dashboard number contradicts intuition, or when deciding whether a trend is real yet.

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。

Implement a ready rolling-wave slice without locking it down with broad tests yet. Use when the user explicitly wants to code the current docs/rolling-wave/{project}/slices/NNN-slug.md slice, mark it in progress while working, implement small or cohesive work in the main context by default, use one to three gpt-5.6-terra workers only for genuine parallel chunks or large discovery/mechanical work where delegation pays for its handoff cost, pause or hand off chunks marked human-fit when appropriate, record implementation notes and final-test backlog, preserve the original slice contract, and mark completed implementation ready for review.

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。

Pressure-test an existing plan or design artifact until it is coherent enough for the next workflow step or plainly blocked. Use when the user wants to be grilled on a plan, design doc, PRD, ADR, rollout plan, migration runbook, rolling-wave project shape, or slice contract; when they say "grill me"; or when Codex should interrogate a source-of-truth artifact, inspect code and adjacent docs before asking, auto-answer evidence-backed questions, ask only about conflicts or low-confidence recommendations, edit the original file in place, preserve the artifact's existing format, and keep conclusions, blockers, readiness, and deferred work synchronized in the document.

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 durable decisions, findings, plans, and implementation knowledge from the visible Codex conversation into a new or existing NeatContext context. Use only when the user explicitly invokes this skill or asks to preserve the current conversation as reusable context.

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 durable decisions, findings, plans, and implementation knowledge from the visible Kimi Code conversation into a new or existing NeatContext context. Use only when the user explicitly invokes this skill or asks to preserve the current conversation as reusable context.

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 durable decisions, findings, plans, and implementation knowledge from the visible pi conversation into a new or existing NeatContext context. Use only when the user explicitly asks to preserve the current conversation as reusable context, or runs /neatcontext-save.

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。

Guides AI agents through Senzing entity resolution workflows using the Senzing MCP server. Covers data mapping to Senzing format, SDK code generation (Python, Java, C#, Rust, TypeScript/Node.js), documentation search, error troubleshooting, sample data access, reporting and visualization, SDK setup guides, and V3-to-V4 migration. Use when working with entity resolution, record matching, record linkage, deduplication, Senzing SDK integration, data mapping for Senzing ingestion, or troubleshooting Senzing error codes. Also use when the user mentions matching records across data sources, finding duplicate entities, identity resolution, master data management, or needs to resolve who is who across datasets.

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。

FiveM RP server engineering for QBCore, ESX.

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。

Build and manage trusted local Paseo plugins. Use when the user asks to create, edit, install, reload, enable, disable, remove, or troubleshoot a Paseo plugin; add lifecycle hooks; transform agent configuration, environment, MCP servers, or workspace creation; automate permissions or turn follow-ups; add a screen, sidebar header or footer item, or workspace panel; add Command Center items or slash commands; add composer pills or attachment sources; transform, render, or append agent timeline items; contribute a theme; use Paseo from plugin code; or add plugin RPCs.

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。

Bun runtime, package manager, bundler, and test runner. Use when running scripts with bun, managing packages, serving HTTP with Bun.serve, querying databases with Bun.sql/bun:sqlite/Bun.redis, shell scripting with $, using S3/file I/O, writing tests with bun:test, bundling or compiling to executable, or using any Bun-specific API (spawn, glob, semver, FFI, workers, plugins, HTMLRewriter).

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。

Design relational database schemas (and choose when to go NoSQL) that stay maintainable and fast. Use this skill whenever the user mentions tables, DDL, entities and relationships, normalization (1NF/2NF/3NF), primary and foreign keys, UUID vs bigint IDs, indexes (B-tree, composite, covering, partial), EXPLAIN, constraints (CHECK, UNIQUE, exclusion), transactions and isolation levels, migrations (Alembic, Prisma, Flyway, expand-contract, backfilling), or SQL vs NoSQL (MongoDB, DynamoDB, Cassandra, graph databases). Also trigger for "design the database", "model this domain", "which database should I use", or writing ORM models and migration files for PostgreSQL, MySQL, SQLite, or SQL Server.

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 local Apple Music MCP server to browse or manage the user's library and playlists, search the catalog, discover music, control playback, or edit the Up Next queue. Trigger whenever the user asks about their Apple Music account, listening history, playlists, library, playback, recommendations, or queue.

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。

Measure, root-cause, fix, verify and record performance contention on a developer machine: cloud-sync daemons (iCloud Drive, OneDrive, Dropbox, Google Drive), file indexers, AI-tool MCP server fleets, and automation browsers left behind by tests and browser skills. Trigger when the machine is slow, apps freeze, browser or MCP tool calls time out, load exceeds the core count, or before and after any UI/UX/performance test run. Includes the L0–L4 optimisation scale and the test-hygiene contract.

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。

This skill should be used when the user asks to "communicate via Discord", "send a message to Discord", "check Discord for instructions", "ask a question on Discord", "notify on Discord", "share a file on Discord", "離席する", "離席モード", "Discord で待機して", "Discord待機", or when Claude Code needs to reach the user who is away from the terminal.

Use when hardening a Linux host you operate — SSH posture, a default-deny firewall baseline, and unattended security upgrades, each verified on the box rather than assumed from a config 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。

Use for deep Next.js analysis: server vs client boundaries, routing, data fetching, caching, rendering modes, and hydration/runtime issues.

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 an MCP server in Python (FastMCP) or Node/TypeScript (MCP SDK) — agent-centric tool design, input schemas, error handling, and the 10-question evaluation harness.

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。

Convert PDF, DOCX, XLSX, PPTX, EPUB, images, or audio to Markdown via the markitdown-mcp server — 'extract this PDF', 'OCR this image', 'transcribe this audio'.

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。