「que」の検索結果

Manages cloud infrastructure through natural language conversations with Pulumi Neo, an AI agent for platform engineers. Enables infrastructure analysis, resource provisioning, stack deployment, and configuration management via conversational AI. Use when creating Neo tasks, requesting infrastructure analysis, automating cloud deployments, managing infrastructure as code (IaC), provisioning AWS/Azure/GCP resources, managing infrastructure through natural language prompts, reviewing PRs with Neo, handling Neo approval workflows, or checking Neo task status and events. Also use when the user mentions "Pulumi Neo", "Neo task", "Neo agent", or wants AI-assisted infrastructure management.

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 pull requests with structured description

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 hands-on Pulumi CLI work: running deployments, fixing broken stacks, and managing infrastructure state. Handles: recovering from stuck or interrupted `pulumi up` with pending operations, cleaning orphaned resources from state after out-of-band cloud deletions, protecting critical resources from accidental `pulumi destroy`, moving resources between stacks without recreating them, targeting specific resources during deployment, migrating between backends (local file to Pulumi Cloud, S3), stack lifecycle management, state export/import/repair, CI/CD pipeline setup, and importing existing cloud resources. Use this skill — not the language-specific Pulumi skills — whenever the user's question is about operating, troubleshooting, or recovering Pulumi infrastructure rather than writing program code.

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。

Family coordination engine. Use this skill whenever the user mentions meals, meal planning, groceries, weekly schedule, family logistics, kid activities, custody schedule, co-parent coordination, family dashboard, weekly briefing, weekly prep, "what's for dinner", school events, pickup/dropoff, babysitter, pediatric nutrition, grocery list, grocery cart, "load the cart", "load the carts", "bargain hunt", "find the deals", "compare prices", "price check", "smart split", "save money on groceries", family calendar review, or anything involving coordinating schedules and meals for a family. Also trigger when the user says "parent helper", "family mode", "week ahead", or "plan the week". Trigger on local event queries: "what's going on", "things to do", "events this weekend", "anything happening", "stuff to do", "what can we do with the kids", "family stuff this weekend". This skill is the central hub — if it touches the family schedule, the family's food, or local family-friendly events, it belongs here.

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。

Rebases a feature branch onto its latest base, resolving conflicts while preserving the intent of local changes, optionally force-pushing and watching CI afterward. TRIGGER when: the user wants to rebase a feature branch, update a branch against its base, or replay local work on top of the latest upstream. DO NOT TRIGGER when: merging a release branch into dev → merging-branches; only watching CI on an already-open PR → monitoring-pull-requests.

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。

Stages and commits the current changes onto a safe working branch, enforcing branch discipline and optionally pushing upstream. TRIGGER when: the user wants to commit, save, or check in the current changes. DO NOT TRIGGER when: opening a pull request → pr.

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。

Comprehensive code review using specialized agents — orchestrates code, comments, tests, errors, types, and simplify agents sequentially.

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。

Run the speckit preparation phases end-to-end — specify, plan, critique, tasks — making all decisions autonomously. Stops 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。

Run the full speckit workflow end-to-end — specify, plan, critique, tasks, implement, review — making all decisions autonomously. Stops before extract; run that manually.

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。

Perform a dual-lens critical review of the specification and plan from both product strategy and engineering risk perspectives 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。

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

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。

ครูสอนโยคะ — Hatha/Vinyasa/Yin sequences + asana ละเอียด + breathing + modification + prop use สำหรับ practitioner ทุกระดับ

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。

AI bartender — cocktail recipe, mixology technique, bar setup, menu engineering, food pairing, responsible alcohol service

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。

AI Concierge โรงแรม — guest journey, recommendation matrix, request handling, complaint resolution, รองรับ guest ไทย+ต่างชาติ

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。

โค้ชสมาธิ + mindfulness — guided meditation script (5/15/30 min) + breathing technique (box, 4-7-8) + theme practice (focus, anxiety, sleep, loving-kindness)

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。

ออกแบบ schema normalize indexing optimize query migration safety — Postgres MySQL MongoDB

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。

Copywriter AI — headline, ad copy, email sequence ที่ conversion สูง สำหรับตลาดไทย

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。

ออกแบบเรื่องในเกม — lore, branching dialogue, character arc, quest design, environmental storytelling

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。

Email marketing AI — sequence, automation, deliverability, segmentation สำหรับธุรกิจไทย

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 requests integration testing, feature validation, or test plan execution

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 custom modules for [Harbor Boost](https://github.com/av/harbor/tree/main/boost), an optimizing LLM proxy. Use when building Python modules that intercept/transform LLM chat completions—reasoning chains, prompt injection, structured outputs, artifacts, or custom workflows. Triggers on requests to create Boost modules, extend LLM behavior via proxy, or implement chat completion middleware.

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。

Install, configure, and work with Turso DB — an in-process SQLite-compatible relational database engine written in Rust. Use when the user needs to (1) install Turso DB, (2) create or query databases with the tursodb CLI shell, (3) use Turso from JavaScript/Node.js via @tursodatabase/database, (4) work with vector search or embeddings in Turso, (5) set up full-text search with FTS indexes, (6) configure transactions including MVCC concurrent transactions, (7) enable encryption at rest, or (8) use Change Data Capture (CDC) for audit logging.

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。

Timeboxed ideation on a topic where lens-driven proposers generate structurally different ideas, blind critics cull them, and pairwise judges rank the survivors on a tournament ladder instead of 1-10 scores, evolving the leaders until the clock runs out. Use when the user wants to brainstorm, explore ideas, discover features, generate options, or think through possibilities for a specified duration. Triggers on requests like "brainstorm X for 30 minutes", "ideate on X", "spend an hour thinking about X", "what features should we build", "explore options for X". Not for executing a task over time (timeboxed-iterating) or optimizing a measurable metric (autoresearch).

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。

Catalog-then-fix slop removal on an existing prose draft. Parallel catalog subagents inventory four slop categories (theatrics, overwrought register, corrective antithesis, dramatic short sentences), fix subagents repair only what a catalog names, mechanical lint + frequency analysis bracket the run, and a regression gate (lint delta, word count, cold meaning check) decides whether the result ships. Use when the user says "deslop this draft", "catalog deslop", "strip the AI patterns from this file", or as the final stage of the article-factory and mosaic-writing skills. For writing or redrafting prose from scratch, use the prose skill instead - this skill only repairs an existing draft in place.

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。