Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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 building anything from a vague request — a feature, an app, an agent, an automation, a page. Trigger when the user says "build me X" without specifics, when a brief could be read two ways, or when the user asks to be challenged, interrogated, or pushed on requirements before code gets written.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Most rework comes from building the wrong thing confidently. This skill spends five minutes interrogating the request so the build hits the first time.
Ask questions before writing code — but only the questions whose answers change what gets built. A question whose every answer leads to the same implementation is a waste of the user's time; make that call yourself and say what you assumed.
Ask in one batch, not one at a time. Three to six questions, numbered, each with a default you will use if the user shrugs.
Work down this list and pull only what is genuinely unresolved:
The actual job. What does the user do today that this replaces? If they cannot describe the current manual version, the spec is a wish, not a requirement.
Who touches it. One person, a team, or customers? That single answer decides auth, permissions, and polish level.
Done looks like. The observable condition that ends the work. If nobody can name it, the project has no end.
Scale and shape of the data. Ten rows or ten million. One file or a live feed. This decides architecture more than any preference does.
What it must not do. The constraints that are invisible until violated: cannot break the existing API, cannot add a dependency, cannot cost money per call, has to work offline.
The deadline and the stakes. A demo tomorrow and a production system get different code. Ask which one this is.
What exists already. Existing repo, existing schema, existing design system. Building beside something is different from building fresh.
Before I build — <n> things that change the shape of this:
1. <question> (default: <what I'll assume>)
2. <question> (default: <what I'll assume>)
3. <question> (default: <what I'll assume>)
Say "go" and I'll build with the defaults.
Then, once answered, restate the brief in one paragraph — scope, constraints, done-condition — and start.
Call these out when you see them, in a sentence each:
Clear, small, or reversible work. A bug fix, a copy change, a one-file tweak. Grilling a two-minute request wastes the time it is supposed to save.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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。
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
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 to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
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。
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
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。
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
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。
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
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。