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Use when auditing content pages for AI discoverability. Applies to any informational page intended to appear in AI-generated answers, search snippets, or knowledge base extraction.

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Use when reviewing scripts, client components, bundles, or runtime behavior related to Prefer immutable data patterns. Inspect both source code and the browser execution path so fixes target the real bottleneck or bug.

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Use when reviewing or improving a Front-End Checklist rule MDX file to raise its quality score, fix stub prompts, add missing fields, or enrich content with real code examples.

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Use when reviewing HTML forms, fetch/XHR calls, and form action attributes to ensure data is submitted exclusively over HTTPS.

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Use when reviewing form components, API payloads, or client-side storage to identify fields that are collected but not consumed by a stated feature.

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。

Processes and analyzes data with resident-kernel engines (DuckDB, Polars) and one-shot tools. Use for CSV/parquet/JSON analysis, group-by/join/aggregation, time series, distributions, cleaning, or plotting a dataset.

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 creating, editing, or inspecting a spreadsheet or workbook (Excel, Google Sheets, or CSV), or when the task calls for a reusable budget, model, tracker, or structured data the user can sort, calculate, or update. Also use for questions that require inspecting an existing workbook; not for quick arithmetic or a small one-off table in chat unless requested as a spreadsheet.

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Clarify a material user-owned product decision before substantive implementation commitments. Use only when request and named/governing evidence still leave a choice that would materially change scope, platform support, user-facing surface, data/API contract, domain values, project placement, or cross-system architecture; also use when a truncated request omits such a choice. On the initial turn, inspect only named or governing requirements evidence, then ask directly without loading: prefer structured input; ask one blocking outcome question or at most three coupled questions; wait. After the answer, load the body before write or delegation. Do not use for implement/build/fix/debug/refactor work when expected behavior is settled, plan/design deliverables owned by Plan, complexity/greenfield/integration alone, agent-owned technical choices, locally discoverable facts, reversible defaults, permission to begin, or stop/no-tool turns. Never re-ask supplied facts or turn clarification into refusal.

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 Printify to browse catalog data, manage shops and products, and review or create orders.

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。

Publish a reusable native Muse Idea with idea.share when the user explicitly asks to share or publish an Idea or asks for a muse.ai/ideas link. Never offer it unprompted. Not for pages or write-ups, sending a result to someone, social posts, or sharing an artifact.

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Analyze the user's own Instagram account and post performance using linked-account analytics.

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 linking Withings or reading Withings body measurements, activity, sleep, workout, heart, and intraday data.

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。

Find restaurants on OpenTable, check availability, and make, change, or cancel reservations. Use for restaurant booking and live reservation data.

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。

View Calendly events and event types, and manage scheduling data using the Calendly CLI.

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。

Read and manage software issues, tickets, projects, and planning data in Linear. Use to review sprints and cycles, identify ticket rollover and release blockers, and update issue status, assignees, priorities, and milestones through Linear's official MCP server.

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Accurate maps from real geo data — use for any map, or whenever geography would make a good graphic for a deliverable

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。

Read cached contacts and calendar events from Muse storage. Delete Muse's local copy of either source without modifying paired devices.

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Runtime capabilities a published Artifact page can be granted — behavior static HTML cannot provide on its own, such as the page reading live or connected data, remembering what people do on it (a poll, a sign-up sheet, a checklist, a document edited in place — it saves new versions of itself), keeping state shared across viewers, knowing who is viewing, asking Claude a question of its own, storing files people add, or handing the viewer a file to save. Serves this user's live capability roster and the typed call definitions. Load it whenever any such runtime behavior would make an artifact more useful, before writing the page.

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 this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. When the destination is a first-party document connector (host-designated, never self-described) that renders live charts, hand it the rows (inline, or as an uploaded data file the chart cites) rather than a rendered PNG/SVG — a picture of a chart loses hover, data inspection and per-value comments. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. A validated default palette is documented in `references/palette.md` — swap that file's values for your brand's. Triggers on: "chart", "graph", "plot", "data viz", "visualization", "dashboard", "analytics", "visualize data", "categorical colors", "sequential / diverging palette", "stat tile", "sparkline", "heatmap", "legend", "axis", "tooltip", "chart colors", "color by series".

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。

Import a memory export from another AI assistant into Claude's memory — conversationally, additively, and with the content treated as data.

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 a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace.

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。

Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.

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Review database migration files when a change adds or modifies paths under migrations/. Use it before merge to collect forward, rollback, locking, and data-safety evidence.

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Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open 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。