morning-manifesto

Daily morning reflection workflow with task sync to Obsidian, Apple Reminders, and Linear

533 stars

Best use case

morning-manifesto is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Daily morning reflection workflow with task sync to Obsidian, Apple Reminders, and Linear

Teams using morning-manifesto should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/morning-manifesto/SKILL.md --create-dirs "https://raw.githubusercontent.com/sundial-org/awesome-openclaw-skills/main/skills/morning-manifesto/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/morning-manifesto/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How morning-manifesto Compares

Feature / Agentmorning-manifestoStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Daily morning reflection workflow with task sync to Obsidian, Apple Reminders, and Linear

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Morning Manifesto 🌅

Trigger: `/morning_manifesto`

## Flow

### 1. Send the prompts
When `/morning-manifesto` is triggered, immediately send:
```
Good morning! 🚀 Please tell me about:
- What you did yesterday?
- One small thing you are grateful for
- Today's adventure
- Tasks and commitments
- How are the weekly priorities going?
```

### 2. Wait for response
Wait for user reply (text or audio). Audio is automatically transcribed via whisper.cpp.

### 3. Parse and append to Obsidian daily note
Parse the response and append to today's note in the Obsidian vault (🔥 Fires). Structure:
```markdown
## Morning Manifesto - [YYYY-MM-DD]

### What I did yesterday
[user's response]

### Grateful for
[user's response]

### Today's adventure
[user's response]

### Tasks and commitments
- [task 1]
- [task 2]

### Weekly priorities status
[user's response]
```

### 4. Sync tasks with Apple Reminders
For each task/commitment mentioned:
- **If task exists**: Update its due date to today
- **If new task**: Create a new reminder with due date today
- Use the `apple-reminders` skill for this

### 5. Query Linear for urgent issues
Query all teams for issues with priority = urgent (1). Format:
```
🔴 Urgent Linear Issues:
- [Team] [Issue ID]: [Title]
```

### 6. Send summary
Send a final message with:
- Today's Apple Reminders (all due today)
- Urgent Linear issues across all teams

## Key details
- Use today's date for Obsidian note naming (YYYY-MM-DD.md)
- For Apple Reminders: query by due date, create with due date
- For Linear: use `priority = 1` filter, query all teams
- Pay special attention to "Tasks and commitments" section

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