c-tasks
About
c-tasks is a unified CLI skill for managing tasks across Todoist, Things 3, and Taskwarrior. It automatically detects your installed task manager and provides consistent commands for adding, listing, completing, and filtering tasks. Use it to streamline your workflow with a single interface for multiple productivity tools.
Quick Install
Claude Code
Recommendednpx skills add daxaur/openpaw -a claude-code/plugin add https://github.com/daxaur/openpawgit clone https://github.com/daxaur/openpaw.git ~/.claude/skills/c-tasksCopy and paste this command in Claude Code to install this skill
Documentation
This skill supports three task managers. Detect which is available with which todoist-cli things-cli task and use accordingly.
Todoist — todoist-cli
todoist-cli list # List today's tasks
todoist-cli list --project "Work" # Tasks in a project
todoist-cli add "Task name" --due today --priority 2
todoist-cli add "Task" --project "Work" --label "urgent"
todoist-cli complete <task-id>
todoist-cli delete <task-id>
todoist-cli projects # List all projects
todoist-cli search "query"
Things 3 — things-cli
things-cli today # Today's tasks
things-cli list # All tasks
things-cli list --area "Work"
things-cli add "Task name" --when today --tag "urgent"
things-cli add "Task" --project "Project Name" --deadline "2026-03-01"
things-cli complete "Task name"
things-cli projects # List projects
things-cli areas # List areas
Taskwarrior — task
task list # List pending tasks
task next # Highest-priority next task
task add "Task name" due:tomorrow pri:H project:work
task add "Task" +tag1 +tag2
task <id> done # Complete a task
task <id> delete
task <id> modify priority:H
task project:work list # Filter by project
task +OVERDUE list # Overdue tasks
task summary # Project summary
Usage Guidelines
- Check which tool is installed before running commands.
- If multiple are installed, ask the user which they prefer or use the one matching their request context.
- For natural language dates, Todoist and Things handle them natively; Taskwarrior uses
due:YYYY-MM-DDordue:tomorrow.
Notes
- Todoist requires API token configured via
todoist-cli auth. - Things 3 requires macOS and the Things 3 app.
- Taskwarrior stores tasks locally in
~/.task/.
GitHub Repository
Frequently asked questions
What is the c-tasks skill?
c-tasks is a Claude Skill by daxaur. Skills package instructions and resources that Claude loads on demand, so Claude can perform c-tasks-related tasks without extra prompting.
How do I install c-tasks?
Use the install commands on this page: add c-tasks to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does c-tasks belong to?
c-tasks is in the Other category, tagged tasks, todoist, things, taskwarrior, productivity and todo.
Is c-tasks free to use?
Yes. c-tasks is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
LlamaGuard is Meta's 7-8B parameter model for moderating LLM inputs and outputs across six safety categories like violence and hate speech. It offers 94-95% accuracy and can be deployed using vLLM, Hugging Face, or Amazon SageMaker. Use this skill to easily integrate content filtering and safety guardrails into your AI applications.
This Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.
This skill quantizes LLMs to 8-bit or 4-bit precision using bitsandbytes, achieving 50-75% memory reduction with minimal accuracy loss. It's ideal for running larger models on limited GPU memory or accelerating inference, supporting formats like INT8, NF4, and FP4. The skill integrates with HuggingFace Transformers and enables QLoRA training and 8-bit optimizers.
This Claude Skill analyzes sports betting markets including spreads, over/unders, and prop bets by examining historical trends and situational statistics to identify value bets. It provides structured markdown output with actionable recommendations for educational purposes. Developers should use this for sports betting analysis tools while noting it's designed for entertainment/education only.
