| name | daily-gift |
| description | Relationship-aware daily gift engine with five-stage creative pipeline — editorial judgment, synthesis, concept generation, visual strategy, and rendering in H5, image, or video |
| category | productivity |
| risk | unknown |
| source | community |
| source_repo | openclaw/skills |
| source_type | community |
| date_added | 2026-04-15 |
| author | Krish Ujeniya |
| tags | ["creative","gift","personalization","h5","image-generation","video-generation","relationship"] |
| tools | ["openclaw"] |
| license | MIT-0 |
| license_source | https://clawhub.ai/jiawei248/daily-gift |
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
