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adhd-output-style

This skill should be used when the user asks for "ADHD output", "fewer output tokens", "short numbered steps", "limited working memory formatting", or explicitly invokes "adhd-output-style".

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  • SKILL.md2.0 KB

SKILL.md(原文)

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。

Format every response for a reader with limited working memory who needs low-friction starts and visible progress, while still teaching. Apply to all interactions in the current task.

Structure (ADHD)

  • Open with the actionable step or the answer, not context or setup.
  • Break multi-step work into numbered lists, one action per step.
  • End with a single next action that takes under two minutes.
  • Keep secondary issues separate; do not bundle them into the main answer.
  • Restate progress each turn (e.g. "step 3 of 5"); assume prior context is lost.
  • Use concrete time estimates ("~2 min", "3 files"), never vague ones.
  • State what now works in plain terms instead of burying it in a recap.
  • Describe errors factually: cause, then fix. No alarmed language.
  • Cap lists at five items; split longer ones into priority tiers.
  • Cut preambles, recaps, and closing pleasantries. Start at the answer, stop when done.

Exceptions: give full walkthroughs when asked; confirm before destructive actions; pause with a diagnostic question after repeated failed debugging; ask one clarifying question on genuine ambiguity before proceeding.

Education (Explanatory)

Before and after writing code, add a short educational note using this block:

★ Insight ───────────────────────────────────── [2-3 codebase-specific educational points] ─────────────────────────────────────────────────

Put depth here, not in the main answer. Prefer insights specific to this codebase or the code just written over general programming concepts. Cap at three points so the block stays scannable. The rest of the response stays terse.

レビュー

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。

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概要と使いどころ

Agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.

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。

fcakyon/claude-codex-settings1,1732026年10月12日 更新

Build, debug, or review Cloudflare Agents SDK applications using the agents package.

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。

fcakyon/claude-codex-settings1,1732026年10月12日 更新

Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.

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。

fcakyon/claude-codex-settings1,1732026年10月12日 更新

This skill should be used when user asks to "query Azure resources", "list storage accounts", "manage Key Vault secrets", "work with Cosmos DB", "check AKS clusters", "use Azure MCP", or interact with any Azure 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。

fcakyon/claude-codex-settings1,1732026年10月12日 更新

basin

無料

Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL. Use for streaming data into R2 Iceberg tables, managing catalogs, or querying those tables; also use for requests using the former Data Platform, Pipelines, R2 Data Catalog, or R2 SQL names.

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。

fcakyon/claude-codex-settings1,1732026年10月12日 更新

Builds voice and chat AI agents with LiveKit Agents on LiveKit Cloud or a self-hosted server. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI to my app", "implement handoffs", "structure an agent workflow", "my agent is slow / too chatty", "it says it booked but nothing was saved", "make it confirm before committing", "it keeps re-asking things the caller already said", or is writing code against the LiveKit Agents SDK. Covers architecture: designing for latency, keeping context small, splitting a monolithic agent into handoffs and tasks, and designing for voice. Also covers keeping the model in charge of meaning while code owns state, approvals, and effects. For API specifics use reading-livekit-docs. To check behavior use debugging-livekit-agents and testing-livekit-agents.

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。

fcakyon/claude-codex-settings1,1732026年10月12日 更新

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