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📦 Daily Gift

daily-gift

相手との関係性を考慮し、贈る相手に

⏱ よくある定型作業 半日 → 数分

📺 まず動画で見る(YouTube)

▶ 【Claude Code完全入門】誰でも使える/Skills活用法/経営者こそ使うべき ↗

※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。

📜 元の英語説明(参考)

Relationship-aware daily gift engine with five-stage creative pipeline — editorial judgment, synthesis, concept generation, visual strategy, and rendering in H5, image, or video

🇯🇵 日本人クリエイター向け解説

一言でいうと

相手との関係性を考慮し、贈る相手に

※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。

⚡ おすすめ: コマンド1行でインストール(60秒)

下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。

🍎 Mac / 🐧 Linux
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o daily-gift.zip https://jpskill.com/download/2720.zip && unzip -o daily-gift.zip && rm daily-gift.zip
🪟 Windows (PowerShell)
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/2720.zip -OutFile "$d\daily-gift.zip"; Expand-Archive "$d\daily-gift.zip" -DestinationPath $d -Force; ri "$d\daily-gift.zip"

完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。

💾 手動でダウンロードしたい(コマンドが難しい人向け)
  1. 1. 下の青いボタンを押して daily-gift.zip をダウンロード
  2. 2. ZIPファイルをダブルクリックで解凍 → daily-gift フォルダができる
  3. 3. そのフォルダを C:\Users\あなたの名前\.claude\skills\(Win)または ~/.claude/skills/(Mac)へ移動
  4. 4. Claude Code を再起動

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

  1. 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
  2. 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
  3. 3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
    • · macOS / Linux: ~/.claude/skills/
    • · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →
最終更新
2026-05-17
取得日時
2026-05-17
同梱ファイル
1

💬 こう話しかけるだけ — サンプルプロンプト

  • Daily Gift の使い方を教えて
  • Daily Gift で何ができるか具体例で見せて
  • Daily Gift を初めて使う人向けにステップを案内して

これをClaude Code に貼るだけで、このSkillが自動発動します。

📖 Claude が読む原文 SKILL.md(中身を展開)

この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。

Daily Gift

Overview

A relationship-aware gift engine that decides whether a gift should exist before deciding what it should be. Uses a five-stage creative pipeline to generate personalized daily gifts in H5 (interactive web pages), AI-generated images, or AI-generated videos. The core design principle is "idea before medium" — the creative concept is locked before the output format is chosen.

Published on ClawHub: https://clawhub.ai/jiawei248/daily-gift

When to Use This Skill

  • Use when the agent should autonomously decide whether today deserves a personalized gift
  • Use when a milestone, anniversary, or emotionally meaningful moment should be marked with a creative artifact
  • Use when the user manually requests a visual gift from a quote, poem, or creative brief
  • Use when you want a daily cron-triggered creative output that avoids repetition and template fatigue

How It Works

Stage 1: Editorial Judgment

Decide whether a gift should exist today, how heavy it should be (skip / nudge / light / standard / heavy), and what content direction to take (reflect, extension, compass, mirror, play, curation, utility, etc.). Format is NOT chosen here.

Stage 2: Synthesis + Gift Thesis

Extract six content slots from conversation context (today_theme, emotion_peaks, historical_echo, open_loop, lobster_judgment, preference_hint). Form a gift thesis = anchor (which moment deserves the center) + return (what new perspective the agent gives back). If the thesis has no return, it's not a gift — it's a decorated log entry.

Stage 2.5: Creative Concept

Generate 5+ concept candidates using seven thinking angles (metaphor flip, format mashup, impossible action, scale shift, role reversal, time distortion, cultural remix). Cross-pollinate with a library of 73 creative seeds across 8 categories. Run three quality checks: concept quality, concept diversity (8 families), and visual/theme collision detection.

Format Selection

Only after the concept is locked does the system choose the output format (H5, image, or video) based on what best serves the concept.

Stage 3: Visual Strategy

Choose visual approach, plan assets (pure code, generated background, hybrid), select visual style, and run pre-visualization checks against recent gifts for anti-repetition.

Stage 4: Rendering

Produce the final artifact. H5 gifts use p5.js/canvas with a quality floor set by built-in templates (300-400 lines of tuned code). Image and video gifts use AI generation APIs. All formats have fallback chains.

Key Features

  • Five-stage creative pipeline with explicit quality gates between stages
  • Multi-layer anti-repetition: concept family, visual elements, theme, style, content direction — each tracked across sliding windows of recent gifts
  • Three-layer user taste profile: Layer 1 (identity — stable), Layer 2 (context — updates every 5-7 gifts), Layer 3 (signals — auto-appended after every gift)
  • Three runtime modes: onboarding setup, daily cron, and manual trigger
  • 11 content directions: reflect, extension, compass, mirror, gift-from-elsewhere, play, real-world-nudge, curation, delayed-payoff, openclaw-inner-life, utility
  • 8 concept families: borrowed-media, interactive-object, transformation, narrative, data-viz, game-puzzle, real-world, poetic-literary

Best Practices

  • ✅ Let the editorial judgment decide — not every day needs a gift
  • ✅ Generate 5+ concept candidates before selecting one
  • ✅ Check recent gifts for visual and thematic collision before rendering
  • ✅ Use the taste profile to personalize over time
  • ❌ Don't skip straight from thesis to rendering without a real creative concept
  • ❌ Don't default to "reflect on today" every time — vary content direction
  • ❌ Don't choose the format before locking the concept

Limitations

  • Requires API keys for image/video generation (optional — H5 works without them)
  • Cron mode runs in the agent's main session for full conversation context access
  • Shell scripts make external API calls for rendering and asset fetching
  • The skill creates and manages local workspace files for state, history, and taste profiling

Security & Safety Notes

  • The skill creates a recurring cron job for daily gift delivery. Review and approve the cron setup step.
  • Shell scripts in scripts/ call external APIs (image generation, video generation, asset hosting). Supply API keys only after reviewing which scripts use them.
  • User taste data and gift history are stored locally in workspace/daily-gift/. No data is sent to external services beyond the configured rendering APIs.
  • The skill reads conversation context and memory files to inform editorial judgment — this is core to personalization but means it has broad read access within the agent's workspace.

Related Skills

  • Image generation skills — for standalone image creation without the gift pipeline
  • Cron/scheduling skills — for understanding the daily trigger mechanism