仕事効率化のスキル

Use when receiving emails with Resend - setting up inbound domains, processing email.received webhooks, retrieving email content/attachments, or forwarding received emails. Triggers on "inbound email", "receive email", "email webhook", "Resend inbound", "process incoming email", "email forwarding", "email.received", "MX records for email".

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 sending transactional emails (welcome messages, order confirmations, password resets, receipts), notifications, or bulk emails via Resend API. Triggers on "send email", "transactional email", "welcome email", "Resend API", "password reset email", "order confirmation", "receipt email", "notification email", "bulk email send".

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 setting up a secure email inbox for any AI agent — configuring inbound email via Resend, webhooks, tunneling for local development, and implementing security measures to prevent prompt injection attacks. Also use when someone mentions 'agent email', 'bot inbox', 'receive emails for agent', 'agent webhook', 'email security for AI', 'prompt injection via email', 'inbound email for bot', or wants their AI agent to receive and respond to emails securely.

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。

Trigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns. Best practices for ManimGL (Grant Sanderson's 3Blue1Brown version) - OpenGL-based animation engine with interactive development. Covers InteractiveScene, Tex with t2c, camera frame control, interactive mode (-se flag), 3D rendering, and checkpoint_paste() workflow. NOT for Manim Community Edition (which uses `manim` imports and `manim` 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。

Build automated email flows that nurture, convert, and retain. Creates complete sequences for welcome, nurture, launch, re-engagement, and onboarding with subject lines, body copy, timing, and A/B test plans. Use when someone needs email automation, a drip campaign, welcome series, launch emails, post-purchase emails, abandoned cart recovery, or says 'email sequence', 'drip campaign', 'welcome series', 'onboarding emails', 'nurture flow', 'automated emails', 'email marketing', 'retention emails', or 'lifecycle emails'. Even if they just say 'set up emails' or 'email strategy' without specifying 'sequence', this is likely the right skill. Includes deliverability rules and spam avoidance.

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。

Rewrite Chinese AI or tech 文章、新闻素材、article titles, article drafts, and source material into 新智元-style headline options for Qiaomu workflows. Use this skill when the user asks for 新智元版标题, 新智元风格起标题, 微信公众号爆款标题改写, or to convert an article/title into a high-density AI media headline while preserving facts.

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。

Reads task files from tasks/<branch>/ and the diff against the detected base ref, then generates a polished PR description in markdown for the user to copy-paste.

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。

Debug pipeline: investigates a bug, diagnoses root cause, writes failing tests, implements fix via TDD, and reviews the result. Orchestrates bug-investigator -> bug-fixer -> code-reviewer.

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。

Work with the @upstash/workflow TypeScript/JavaScript SDK for durable, long-running workflows in serverless functions, multi-step processes that survive timeouts, retries, and restarts (built on QStash). Use when defining a workflow endpoint with serve(), running steps with context.run, sleeping for minutes to days without holding a function open, calling external APIs with context.call, waiting for an external event or webhook, invoking other workflows, configuring retries, failure callbacks, and a DLQ, controlling concurrency, rate, and parallelism, triggering, cancelling, or inspecting runs with the Workflow client, building AI agents and orchestrators, human-in-the-loop approvals, realtime updates, local development with the QStash dev server, adding middleware, or migrating workflows safely. Also use when the user asks for durable execution, step functions, saga or orchestration patterns, background jobs with checkpoints, or long-running tasks on Vercel, Next.js, Cloudflare Workers, or other serverless platforms.

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。

Provides a complete workflow for implementing verified email retrieval on Android Credential Manager API. Use this skill to integrate a secure, OTP-less email verification flow into an Android app. This skill solves the problem of high-friction sign-up processes by leveraging cryptographically verified credentials from trusted providers like Google.

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。

今日の daily_reports/YYYYMMDD.md を、前日のレポートと未完了TODO・直近の実験結果を引き継いで作成する。セッション開始時に使う。

Create today's daily_reports/YYYYMMDD.md by carrying over pending TODOs and recent experiment results from yesterday's report. Use at the start of a session.

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。

コンペ知識を knowledge/ ストック層（原子ページ + INDEX）に効率よく蓄積・検索する。daily_report のフローから再利用可能な知見を蒸留して昇格させ、重複を排除しながら最新化する。知見が出たとき・週次整理・過去知見を引きたいときに使う。

Pythinker Browser Extension lets AI control the user's real browser — navigate, click, type, read, screenshot, and interact with any website using the user's actual login sessions. Use this skill whenever the user wants to interact with websites, automate browser tasks, scrape web content, or perform any action requiring a real browser. Also use when the user mentions "browser", "webpage", "open URL", "screenshot", or asks to read/interact with any website. Use even for simple-sounding browser requests — the daemon handles all complexity.

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 the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"

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 AI output validation systems with guardrails. TRIGGERS - Use when user needs help with ai-output-validator related tasks.

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。

Plan AI pilot programs with success criteria. TRIGGERS - Use when user needs help with ai-pilot-plan related tasks.

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 AI patent analysis systems. TRIGGERS - Use when user needs help with ai-patent-analyzer related tasks.

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。

Assess organizational AI maturity. TRIGGERS - Use when user needs help with ai-maturity-model related tasks.

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 AI employee onboarding assistants. TRIGGERS - Use when user needs help with ai-onboarding-assistant related tasks.

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 AI performance review assistance systems. TRIGGERS - Use when user needs help with ai-performance-reviewer related tasks.

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 AI inventory prediction. TRIGGERS - Use when user needs help with ai-inventory-predictor related tasks.

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 AI personas with personality and expertise. TRIGGERS - Use when user needs help with ai-persona-builder related tasks.

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 AI dynamic pricing systems. TRIGGERS - Use when user needs help with ai-price-optimizer related tasks.

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。