Skills 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.
install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/asuranale/daily-assistant" ~/.claude/skills/openclaw-skills-daily-assistant && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/asuranale/daily-assistant" ~/.openclaw/skills/openclaw-skills-daily-assistant && rm -rf "$T"
manifest:
skills/asuranale/daily-assistant/SKILL.mdsource content
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
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 |
|---|---|
| Recommends the most important task to work on next |
| Reads today's daily task file |
| Carries over uncompleted tasks from yesterday |
| Detects overdue task files |
| Generates end-of-day review with completion stats |
| Flags tasks >80min or missing time estimates |
Resources
| Resource | Content |
|---|---|
| Today's task file |
| Dashboard overview |
| 7-day completion statistics |
Task Format
- [ ] 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