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
Example
User request:
Decide whether today merits a personalized gift, then create the most fitting concept and output for the recipient.
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
1---2name: daily-gift3description: Relationship-aware daily gift engine with five-stage creative pipeline — editorial judgment, synthesis, concept generation, visual strategy, and rendering in H5, image, or video4---567# Daily Gift89## Overview1011A 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.1213Published on ClawHub: https://clawhub.ai/jiawei248/daily-gift1415## When to Use This Skill1617- Use when the agent should autonomously decide whether today deserves a personalized gift18- Use when a milestone, anniversary, or emotionally meaningful moment should be marked with a creative artifact19- Use when the user manually requests a visual gift from a quote, poem, or creative brief20- Use when you want a daily cron-triggered creative output that avoids repetition and template fatigue2122## How It Works2324### Stage 1: Editorial Judgment2526Decide 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.2728### Stage 2: Synthesis + Gift Thesis2930Extract 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.3132### Stage 2.5: Creative Concept3334Generate 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.3536### Format Selection3738Only after the concept is locked does the system choose the output format (H5, image, or video) based on what best serves the concept.3940### Stage 3: Visual Strategy4142Choose visual approach, plan assets (pure code, generated background, hybrid), select visual style, and run pre-visualization checks against recent gifts for anti-repetition.4344### Stage 4: Rendering4546Produce 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.4748## Key Features4950- **Five-stage creative pipeline** with explicit quality gates between stages51- **Multi-layer anti-repetition**: concept family, visual elements, theme, style, content direction — each tracked across sliding windows of recent gifts52- **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)53- **Three runtime modes**: onboarding setup, daily cron, and manual trigger54- **11 content directions**: reflect, extension, compass, mirror, gift-from-elsewhere, play, real-world-nudge, curation, delayed-payoff, openclaw-inner-life, utility55- **8 concept families**: borrowed-media, interactive-object, transformation, narrative, data-viz, game-puzzle, real-world, poetic-literary5657## Best Practices5859- ✅ Let the editorial judgment decide — not every day needs a gift60- ✅ Generate 5+ concept candidates before selecting one61- ✅ Check recent gifts for visual and thematic collision before rendering62- ✅ Use the taste profile to personalize over time63- ❌ Don't skip straight from thesis to rendering without a real creative concept64- ❌ Don't default to "reflect on today" every time — vary content direction65- ❌ Don't choose the format before locking the concept6667## Example6869**User request:**7071> Decide whether today merits a personalized gift, then create the most fitting concept and output for the recipient.7273## Limitations7475- Requires API keys for image/video generation (optional — H5 works without them)76- Cron mode runs in the agent's main session for full conversation context access77- Shell scripts make external API calls for rendering and asset fetching78- The skill creates and manages local workspace files for state, history, and taste profiling7980## Security & Safety Notes8182- The skill creates a recurring cron job for daily gift delivery. Review and approve the cron setup step.83- Shell scripts in `scripts/` call external APIs (image generation, video generation, asset hosting). Supply API keys only after reviewing which scripts use them.84- 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.85- 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.8687## Related Skills8889- Image gener