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- nex-task-cli
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Nex Task Cli
Generates a single-file, JSON-backed Python task CLI that both humans and orchestrator agents can call, with recurrence and priorities.
Free
nex-task-cli
Example session with this skill installed
I need a local Python CLI for my tasks that uses a JSON file for storage. Make it work like nex-task with recurrence and prefix-id matching so I can just type 'task check' with shorthand IDs.
- Read your context and instructions
- Compiled the nex-task-cli
Project 'nex-task' created!
Files: task.py, pyproject.toml, README.md, agent-tool.md, tests/
To install: pip install -e .
Usage: task add "Review PR" --due 2024-06-01 --high
Check: task check a1b2 (matches UUID prefix)
Storage: ~/nex-data/taskboard.json
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
- Generates task.py, a single-file Python CLI (around 600 lines, stdlib only) with a flat JSON store at ~/nex-data/taskboard.json, no database, no daemon
- Ships the canonical command set: list, today, overdue, done, stats, add, check, snooze, delete, search, cleanup, help
- Handles priorities (urgent/high/normal/low), categories, due dates, dedupe on add, and recurrence (daily, weekday, weekly, monthly) that regenerates the next instance on check
- Prefix-id matching: task check 9f3e matches the full UUID, with a clear error on ambiguity
- Includes pyproject.toml for pip install -e ., an agent-tool.md reference with --json output schemas and exit codes, and a pytest suite covering recurrence, dedupe, and snooze
Why use this
Every command supports --json, so the same tool your morning shell prompt runs is a tool an orchestrator agent can call to schedule its own followups. Atomic writes (tmp plus os.replace) mean the JSON store never corrupts mid-write. Pattern-derived from the production CLI ZeroClaw uses, shipped as a clean reimplementation of the same contract.
See it in action
Prompt:
Build me a CLI todo list my agent can also call as a tool.
Result:
$ task add Email Bob --due 2026-05-29 --cat followup --high
Added [9f3e] Email Bob (high, followup, due 2026-05-29)
$ task today
H 9f3e Email Bob followup due today
N a41c Water the plants task recurring daily
$ task check 9f3e
Done: Email Bob
$ task add Standup notes --recur weekday --json
{id: c7d2e1a0-..., title: Standup notes,
recur: weekday, due: 2026-08-07, done: false}Checking a recurring task closes today's instance and tees up the next one automatically.
Use cases
- A personal task CLI without a SaaS dependency, living in one JSON file
- Giving an orchestrator agent a shell tool to schedule its own followups
- A task today line in your morning shell prompt
- Porting the JSON-as-DB pattern to any small list-shaped CLI (notes, bookmarks, snippets)
Known limitations
- Single-user, local-first: no multi-user lists, no cross-device sync (pair with Dropbox, syncthing, or git yourself)
- Knows due dates but pushes no notifications; pair with cron if you want pings
- JSON reads get slow above roughly 5000 tasks; move to SQLite at that scale
FAQ
What exactly is in the download?
SKILL.md, four asset templates (task.py.template, pyproject.toml.template, agent-tool.md.template, test_task.py.template), and four references covering the command set, recurrence semantics, the agent-tool contract, and the JSON-as-database pattern.
Which agents does it work with?
Claude Code, Claude Cowork, Cursor, Codex CLI, and any agent that reads SKILL.md skills. The generated CLI is callable by any agent that can run shell commands.
Do I need anything else?
Python 3.10 or newer. The core is stdlib only; rich is optional for prettier color output.
How does recurrence work?
Checking off a recurring task marks it done and inserts a fresh instance with the next due date (daily, next weekday, plus 7 days, or plus 1 month). Today's instance closes, tomorrow's is already teed up. Snoozing never triggers regeneration.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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