daily-assistant
AI-powered daily task management MCP Server — recommend next task, inherit uncompleted todos, detect overdue, generate reviews. Deterministic ops in code (zero tokens), AI only when needed.
Best use case
daily-assistant is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
AI-powered daily task management MCP Server — recommend next task, inherit uncompleted todos, detect overdue, generate reviews. Deterministic ops in code (zero tokens), AI only when needed.
Teams using daily-assistant 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/daily-assistant/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How daily-assistant Compares
| Feature / Agent | daily-assistant | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
AI-powered daily task management MCP Server — recommend next task, inherit uncompleted todos, detect overdue, generate reviews. Deterministic ops in code (zero tokens), AI only when needed.
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.
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SKILL.md Source
# Daily Assistant MCP Server A personal task management MCP Server. Deterministic operations (parsing, sorting, statistics) run in Python with zero token cost — AI only steps in when creativity is needed. ## Setup ```bash git clone https://github.com/AsuraNale/daily-assistant-mcp.git cd daily-assistant-mcp python3 src/setup.py --auto # Windows: py src/setup.py --auto ``` The setup wizard creates a `.venv`, installs dependencies, sets up your data directory, and auto-configures your AI editor. No manual `pip install` or config editing needed. ## Tools | Tool | What it does | |------|-------------| | `recommend_next` | Recommends the most important task to work on next | | `get_today` | Reads today's daily task file | | `inherit_tasks` | Carries over uncompleted tasks from yesterday | | `check_overdue` | Detects overdue task files | | `generate_review` | Generates end-of-day review with completion stats | | `scan_split` | Flags tasks >80min or missing time estimates | ## Resources | Resource | Content | |----------|---------| | `daily://today` | Today's task file | | `daily://dashboard` | Dashboard overview | | `daily://history` | 7-day completion statistics | ## Task Format ```markdown - [ ] Task description ⏱️45min 📅 2026-03-30 ⏫ ``` Markers: `⏱️` = time estimate, `📅` = deadline, `⏫` = highest priority, `🔼` = high, `🔽` = low. ## Design Philosophy - **Zero-token deterministic ops**: Parsing, sorting, stats run in Python code - **AI only when needed**: Task splitting, creative advice, context-aware suggestions - **Platform-independent**: Windows, macOS, Linux. No Obsidian dependency - **Simple data**: Plain Markdown files, edit anywhere
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