Tencent SkillHub · AI

Feast - Intelligent meal planning, region and season aware shopping lists, respects dietary requirements, provides recipes, and generates immersive mealtime playlists

Comprehensive meal planning system with cultural themes, authentic recipes, intelligent shopping, and surprise reveals. Use when: - Planning weekly meals or menus - Generating shopping lists - Asking for recipe ideas or cooking help - Reviewing past meals or planning ahead - Onboarding a new user to the meal system - Looking for cuisine inspiration or cultural food events - Tracking dietary goals or nutrition - Managing favourites, failures, or meal history

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, scripts/update-history.py, templates/shopping-list.md, templates/profile.yaml, templates/week.md

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.2

Provenance

Publisher: smadgerano
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 22 sections Open source page

Feast

A meal planning skill that transforms weekly cooking into a cultural experience.

Quick Start

New user? Run onboarding: "Let's set up Feast" or "Onboard me for meal planning" Returning user? Check status: "What's the meal plan status?" Planning day? Start planning: "Let's plan next week's meals" Cooking day? Get reveal: "What's for dinner?"

Core Files

User data lives in their workspace: workspace/meals/ ├── profile.yaml # User preferences (created during onboarding) ├── history.yaml # What they've eaten ├── favourites.yaml # Loved recipes ├── failures.yaml # Never again └── weeks/ └── YYYY-MM-DD.md # Each week's plan (self-contained) Note: Weekly plans are fully self-contained — each day's recipe, theme research, music playlist, and cultural context is embedded directly in the week file. There are no separate recipe or theme files.

Weekly Cadence

Default schedule (user-configurable): DayActivityTriggerThursdayResearch & draft"Let's plan next week"FridayConfirm plan"Confirm the meal plan"SaturdayShopping list"Generate shopping list"SundayShoppingUser shopsWeekDaily reveals"What's for dinner?"End of weekReview"Review this week's meals"

Notifications

Feast sends reminders at key moments: planning day, confirmation, shopping list, daily reveals, and week review. These are delivered via cron jobs that spawn isolated agents to send notifications.

Notification Channels

Users configure their preferred channel in profile.yaml under schedule.notifications.channel: ChannelDelivery MethodautoDelivers to the current session or first available channeltelegramSends via Telegram (requires Telegram channel configured in OpenClaw)discordSends via Discord (requires Discord channel configured in OpenClaw)signalSends via Signal (requires Signal channel configured in OpenClaw)webchatOutputs to the chat session

Push Notifications (Optional)

For notifications to mobile devices independent of chat channels, users can enable push notifications: schedule: notifications: push: enabled: true method: "pushbullet" # or "ntfy" Supported methods: Pushbullet — Requires the pushbullet-notify skill installed separately with API key configured ntfy — Uses ntfy.sh (or self-hosted); configure topic in profile Push notifications are sent in addition to the primary channel, not instead of it. If push delivery fails, the notification still goes to the primary channel.

Timing

Notifications are delivered via OpenClaw's cron system with wakeMode: "next-heartbeat". This means notifications arrive within the heartbeat interval (typically up to 1 hour) after the scheduled time. For most meal planning purposes, this slight delay is acceptable.

Managing Notifications

Users can adjust their notification preferences anytime: "Change my Feast notifications to Telegram" "Turn off morning hints" "Enable Pushbullet notifications" When updating, remove old cron jobs using stored IDs and create new ones with updated settings.

Onboarding

Read references/onboarding.md for the full flow. Essential questions: Location (for seasonality, units, stores) Household size & portion needs Week structure (start day, cooking days, cheat day) Dietary requirements & phase Equipment & cooking confidence Preferences (cuisines, spice, budget) Save to workspace/meals/profile.yaml.

Planning (Thursday)

Check user profile Review history (avoid recent repeats) Check upcoming cultural events (see references/events.md) Check seasonality for location Select 6-7 meals with: Cuisine variety Ingredient overlap Balanced nutrition Mix of quick/involved For each meal, research and embed: The Place: Identify specific region of origin (drill down to province, city, or area). Research regional context, history, current events. Write an evocative description. The Dish: Research authentic recipe from native sources (search in original language). Include origin story, cultural significance, full ingredients and method. The Soundtrack: Curate a 1-2 hour playlist with contemporary hits + classic/traditional from the region (see references/theme-research.md). Include full tracklist with links. Setting the Scene: How to serve, what to drink, atmosphere tips. Draft plan to workspace/meals/weeks/YYYY-MM-DD.md (all content embedded in this single file) Present summary (themes only, not full reveals)

Confirmation (Friday)

Present draft plan with themes Allow amendments Mark as confirmed Set up daily reveal reminders

Shopping List (Saturday)

Generate from confirmed plan Optimise: Group by category Combine overlapping ingredients Check pack sizes vs needs Flag seasonal items Price check key ingredients (see references/price-checking.md): Identify top 3-5 most expensive items (usually proteins, specialty ingredients) Check prices across user's available stores Note current deals, multi-buy offers, loyalty card prices Add price recommendations to the shopping list Suggest shopping strategy (single store or split if savings are significant) Present for review with price guidance Allow amendments Mark as approved

Daily Reveal

Check it's a cooking day Reveal: Full recipe (in user's units) Theme dossier highlights: The place: Regional context, history, and character What's happening there now (current news/events from planning time) The dish: Origin story, cultural significance, how it's eaten locally Curated playlist: Contemporary hits from the region (what people there listen to now) Classic/traditional music from the region Full tracklist with links (Spotify/YouTube) The vibe and journey the playlist creates Setting the scene: Serving suggestions, drinks pairings, atmosphere tips Optional morning hint for anticipation

Review (End of Week)

For each meal: rating (1-5), notes Update history Identify favourites → add to favourites Identify failures → add to failures Capture improvements for system Save review to week file

Recipe Regionalisation

All recipes stored in standardised internal units. On output, convert to user's preferred units: Temperature: Celsius / Fahrenheit / Gas Mark Weight: Metric (g/kg) / Imperial (oz/lb) Volume: Metric (ml/L) / Cups See references/conversions.md.

Authenticity Guidelines

When researching cuisines: Search in the original language where possible Look for recipes from native sources, not just English food blogs Identify the specific region of origin — not just "Thai food" but "Northern Thai, Chiang Mai style" Research music that's actually from the region: Find contemporary hits (what's charting there now) Find classic/traditional music (legendary artists from the region) Build a curated 1-2 hour playlist — not generic Spotify searches See references/theme-research.md for guidance Research the region itself — history, current events, social context, what it's famous for Note cultural context and any associated events Respect dietary traditions (e.g., no pork in Middle Eastern themes) Embed everything in the week plan — recipes, themes, music, and context all go in the single week file See references/cuisines/ for per-cuisine guides.

Templates

templates/profile.yaml — User profile templates/week.md — Weekly plan with embedded recipes, themes, music, and shopping list templates/shopping-list.md — Standalone shopping list format (for reference; usually embedded in week)

References

references/onboarding.md — User onboarding guide references/theme-research.md — How to research cultural themes and curate music references/price-checking.md — Smart shopping and price comparison guidance references/events.md — Cultural events calendar for themed planning references/nutrition.md — Dietary phases and balanced meal guidance references/conversions.md — Unit conversion tables references/cuisines/ — Per-cuisine research guides references/seasonality/ — Regional seasonal produce

History Tracking

After a meal is revealed and cooked, update history: python scripts/update-history.py \ --meals-dir ~/.openclaw/workspace/meals \ --date 2026-02-03 \ --name "Thai Green Curry" \ --cuisine "Thai" \ --region "Central Thailand" \ --week-file "2026-02-02.md" \ --rating 4 \ --notes "Great, maybe more chilli next time" This updates history.yaml and recalculates statistics automatically. When doing the daily reveal, after the user confirms they've cooked and optionally rated the meal, run this script to keep history current.

Health & Nutrition

Track calories per meal if user has a target Ensure weekly variety across food groups Respect dietary phases (weight loss = deficit, etc.) Flag any nutritional concerns See references/nutrition.md.

Seasonal Awareness

Check seasonality for user's location before suggesting ingredients. Seasonal produce is: Better quality Often cheaper More environmentally responsible Not every ingredient needs to be in season, but prefer seasonal when possible. See references/seasonality/ for regional guides.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

4 Docs1 Scripts1 Config

SKILL.md Primary doc
README.md Docs
templates/shopping-list.md Docs
templates/week.md Docs
scripts/update-history.py Scripts
templates/profile.yaml Config