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概要と使いどころ
Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.
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。
Generate a language translation for a mkdocs documentation stack.
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 a developer wants to build their first CopilotKit Channels agent and get it answering in Slack or Microsoft Teams: "set up a channel", "connect my agent to Slack", "get my agent into Teams", or starting from nothing and wanting a working channel end to end. Covers the whole path: inspecting or scaffolding the project, building the AG-UI agent, creating and reconciling the managed Channel with the public CopilotKit CLI, running the long-running host, and proving a real provider mention gets a reply. The workflow is not in this file. Run `npx --yes copilotkit@latest onboard start` and follow the graph it prints.
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。
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude 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。
Build a structured SOC escalation matrix defining severity tiers, response SLAs, tiered escalation paths, and notification procedures for security incidents, using context-driven criteria that combine business risk, asset criticality, and data sensitivity. Use when designing or revising how a SOC triages and escalates incidents across analyst tiers.
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。
Analyze the NTFS Master File Table ($MFT) with MFTECmd, analyzeMFT, and X-Ways Forensics to recover metadata and content of deleted files by examining MFT record entries, $LogFile, $UsnJrnl, and MFT slack space. Use when recovering evidence of deleted files, reconstructing NTFS file-system timelines, or detecting anti-forensic timestomping during a Windows forensic examination.
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。
Internationalization (i18n) workflow and standards for managing translations. Use when: (1) Adding new user-facing text, (2) Creating new components with user-facing text, (3) Reviewing code for i18n compliance, (4) Adding a new translation module.
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。
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.
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。
Translate skills from one industry to another and identify transferable skills for career pivots. Use when the user mentions changing careers, switching industries, career pivot, transferable skills, or moving from one field to another.
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。
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
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。
Standing context for Slack sibling agents — one room per team, creator-posted introductions, bot-to-bot hop discipline. Ships as instructions.md composed into the group's CLAUDE.md at spawn; there is no workflow to invoke.
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。
Add Slack channel integration via Chat SDK.
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。
Guidance for composing well-formatted, effective Slack messages using mrkdwn syntax
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。
Guidance for effectively searching Slack to find messages, files, channels, and people
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 adding user-facing text to Handsontable, creating new language constants, updating translation files, or working with RTL layouts and internationalization
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。
The 15-minute escalation-routing runbook for the Plain support queue — detecting SLA breaches against {{sla_targets}}, VIP accounts in {{vip_accounts}}, and high severity, routing each qualifying ticket to the right team, opening a linked issue in {{linear_team}} when engineering is needed, and posting the alert to {{escalation_channel}}. Never closes a ticket or promises a resolution.
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。
Daily GDPR data-subject-access-request runbook. Verifies each incoming request from Gmail, locates the subject's data read-only across every relevant Postgres table, compiles an access-or-deletion report in Google Docs within the {{sla_days}}-day SLA, and flags it to {{legal_review_channel}} for a lawyer to approve. Never deletes data and never replies to the subject.
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 or edit reusable Agent Zero /commands with YAML and text/Python templates.
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。
Generic civic intelligence aggregator for any US city — daily local digest of construction permits, crime, new businesses, public officials, legislation, elections, arrests, and local news, keyed off principal's Hometown. Writes JSON consumed by Pulse LOCAL tab. Crime delegates to a dedicated crime-stats skill. Workflows: DailyBrief, Construction, Crime, Business, Officials, Legislation, Elections, Arrests, News. USE WHEN local news, hometown news, council meeting, building permits, mayor, ballot measures, ordinance, recent arrests, civic intel, local digest. NOT FOR national news or arbitrary-city crime.
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。
Slack workspace management and automation specialist
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。
Connect SaaS data (HubSpot, Stripe, Salesforce, GitHub, Slack, etc.) to Wren Engine for SQL analysis. Guides the user through the full flow: install dlt, pick a SaaS source, set up credentials, run the data pipeline into DuckDB, then auto-generate a Wren semantic project from the loaded data. Use this skill whenever the user mentions: connecting SaaS data, importing data from an API, dlt pipelines, loading HubSpot/Stripe/Salesforce/GitHub/Slack data, querying SaaS data with SQL, or setting up a new data source from a REST API. Also trigger when the user already has a dlt-produced DuckDB file and wants to create a Wren project from it.
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。
Process video subtitles — transcribe speech, optimize/translate text, burn styled subtitles into video. Use when you need to add subtitles to a video, transcribe audio, translate subtitles, or customize subtitle styles.
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。
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
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。
Translate content across languages while preserving brand voice and cultural nuance.
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。