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 starting a product, feature, MVP, agent, automation, or integration build to identify the main pre-build risk and choose the smallest validation step. Trigger when the user asks whether to build, scope, validate, prioritize, or sanity-check an idea before implementation.
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。
Use this skill as a short pre-build risk gate.
The goal is to stop implementation from starting before the riskiest product assumption is clear. Stay implementation-agnostic: do not recommend stacks, architectures, tools, or code.
When invoked:
Keep the response short unless the user explicitly asks for a deeper review.
Check the idea through these dimensions:
Pick the one or two risks that matter most. Do not turn every review into a long checklist.
Use this format:
## Before You Build
Idea:
- [One-sentence restatement.]
Risk verdict:
- [Low / Medium / High risk] because [one concrete reason].
Main risk:
- [The dominant risk dimension and why it matters.]
Smallest validation step:
- [One specific action the user can take before building.]
Build guidance:
- [Build now / Build smaller / Validate first / Do not build yet.]
The smallest validation step should be specific and low-cost.
Prefer steps like:
Avoid steps like:
If the idea is too vague, ask one clarification question:
Who is this for, what painful situation are they in, and how do they solve it today?
If the user is asking about a feature for an existing product, focus on whether the feature is a real blocker for payment, retention, activation, trust, or delivery.
If the user says the project is for learning, portfolio, or fun, do not judge it by startup standards. Focus on keeping scope small and making the learning outcome clear.
If the decision to build is already made and the user only wants implementation help, do not use this skill.
Be direct, skeptical, and useful.
Do not be dismissive. The point is not to kill ideas; the point is to make the next build decision harder to fool yourself about.
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。