「esp」の検索結果

1. POST to the forgot-password endpoint with a clearly invalid email (e.g. nonexistent@fakedomain12345.com) — record the response body, status code, and length

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Search the web or X/Twitter using xAI Grok server-side tools (web_search, x_search) via the xAI Responses API. Use when you need tweets/threads/users from X, want Grok as an alternative to Brave, or you need structured JSON + citations.

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。

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

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。

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

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。

Complete cybersecurity assessment, threat modeling, and hardening system. Use when conducting security audits, threat modeling, penetration testing, incident response, or building security programs from scratch. Works with any stack — zero external dependencies.

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。

Enterprise-grade customer support system: ticket triage, response templates, escalation workflows, CSAT tracking, knowledge base management, and churn prevention. Turns your AI agent into a support team lead.

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Complete DevOps & Platform Engineering system. CI/CD pipelines, infrastructure as code, container orchestration, observability, incident response, and SRE practices — all platforms, all clouds.

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。

Triage, categorize, and draft responses to emails. Sorts by urgency, flags action items, and generates context-aware reply drafts.

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。

High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and session context caching. Use for: (1) Saving agent state, (2) Caching API results, (3) Sharing data between sub-agents.

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Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

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Requires OFOX_API_KEY — create one at https://app.ofox.ai. Turn a portrait plus a short script into a clip of one person speaking those words to camera. You supply the text and the model generates the voice — audio cannot be uploaded, measured. Defaults to alibaba/wan-3.0-prime rather than this repo's usual seedance-2.5, because seedance-2.5 refuses a real person's photo at submission. Use when a user has a face and some words and wants the face to say them, e.g. "make this headshot read my intro", "a spokesperson clip from this portrait", "have her say this line to camera", "use this avatar to read the announcement". Do not use for a scene between two or more people (see seedance-short-drama), a polished brand or product ad (see seedance-ad-creative), a handheld creator clip (see ugc-ads), or when the words still have to be pulled out of an article and no particular face is required (see explainer).

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。

Check all outreach channels for replies using Chrome DevTools MCP. Scans Zoho webmail, LinkedIn messaging, and Instagram DMs.

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Generates contextual replies to comments, mentions, and DMs on social posts. Classifies engagement as lead signal, customer question, partnership opportunity, or troll/spam. Uses brand voice from agency.config.json.

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。

MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.

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Format messages for Slack using mrkdwn syntax. Use when responding to Slack channels (folder starts with "slack_" or JID contains slack identifiers).

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 voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.

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。