1.5万 件 ・ 関連度順
概要と使いどころ
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.
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。
Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.
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 AI agent skills for security vulnerabilities — detects code injection, prompt injection, credential exfiltration, supply chain attacks, and 69+ threat patterns. Use when installing new skills, auditing existing ones, reviewing untrusted code, or validating packages before publishing.
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。
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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 applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
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。
Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead.
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。
Securely store, search, and use secrets (API keys, tokens, passwords, SSH keys) with hal-vault, an SSH-key encrypted local secret store. Use when the user shares a credential that should be saved, asks what secrets are stored or where a key is, or when a command/workflow needs a secret injected. Core discipline - never print raw secret values into chat, logs, or files; reference secrets only by their masked form, and use --reveal only to feed another process, never into a command argument (where it lands in the machine's process table) or into text you write down.
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。
Requires OFOX_API_KEY — create one at https://app.ofox.ai. Generate a handheld, phone-shot UGC clip — imperfect framing, one practical light, vertical, no cinematic grading, no beauty filter. It inverts the polish every other video skill here defaults to — a UGC clip that looks like an ad has failed. Use when a user wants a video that reads as filmed by a real customer rather than by an agency, e.g. "a real-looking phone unboxing of this product", "a creator first-impression clip for TikTok", "an honest review video, nothing slick", or "make it look like a customer shot it". Do not use for a polished brand ad (see seedance-ad-creative), plain catalog footage (see seedance-product-video), a dialogue scene between people (see seedance-short-drama), or a set of cheap vertical drafts to choose from (see shorts-reels).
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。
Finds upsell and cross-sell opportunities in existing client accounts. Detects new product launches, traffic growth, hiring signals, funding events, and underutilized services. Maps opportunities to agency service offerings.
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。
Enriches inbound leads with firmographic and technographic data. Takes minimal lead info and enriches via WebSearch, Apollo, or ZoomInfo to produce a complete lead record with company size, revenue, tech stack, social profiles, and decision-maker details.
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。
Weekly pipeline metrics, forecast, and trend dashboard in structured markdown
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。
Weekly pipeline health analysis with velocity metrics, stage distribution, forecasting, and actionable recommendations
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。
Builds Quarterly Business Review decks for active clients. Pulls metrics, generates structured QBR with wins, challenges, roadmap, and recommendations. Uses crm-writer to read client 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。
Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact). Deduplicates against CRM (Google Sheets). Supports Apollo API and MCP tools.
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。
pytest + httpx + TestClient patterns for the FastAPI backend. Dependency overrides for auth, FakeSupabase mocking, HTTPException assertions. Use when writing or reviewing backend/tests/test_*.py.
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。
Vitest + React Testing Library patterns for the Next.js 15 frontend. Co-located component tests, mocking lib/api.ts, testing Server Components, CartProvider harness. Use when writing or reviewing *.test.ts(x) files in frontend/.
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。
Preview a Remotion video
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。
Preview a Remotion video
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。
Preview a Remotion video
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。
Review a Python solution against a markdown spec, run it, and report bugs.
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 a GitHub PR with an engineered description that matches the team's established format — numbered problem-fix sections, technical tables, file-by-file breakdowns, commit lists, and verification checklists. Use this skill whenever the user asks to create a PR, ship code, prepare a merge request, write a PR description, or says anything like "ship to boss", "pr perfect", "make a PR", "prepare PR for merge", "create pull request", "engineer the PR", "PR description", or "ready to push". Also trigger when the user has finished a batch of work and says things like "let's wrap this up", "time to merge", "push this to main", or "get this ready for review". The skill handles everything: commit analysis, description generation, branch creation, and PR submission via gh 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。
Undo a haircut trim. Puts back the skills, commands, subagents, MCP servers, hooks, plugins and files that haircut parked into a dated bag, using the receipt it wrote at the time. Use this skill whenever the user says undo the cleanup, undo the haircut, put my config back, restore what was trimmed, I need that MCP server again, that skill is gone and I want it back, roll the trim back, what is in the bag, or which files were moved. Use it also when something stopped working right after a config cleanup and they suspect the cleanup caused it, and whenever they ask how to reverse a config cleanup they regret.
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。
Efficiently bring upstream NanoClaw updates into a customized install, with preview, selective cherry-pick, and low token usage.
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。
Loads org- and repo-level coding rules from Qodo before code tasks begin, ensuring all generation and modification follows team standards. Use before any code generation or modification task when rules are not already loaded. Invoke when user asks to write, edit, refactor, or review code, or when starting implementation planning.
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。