mark-task-success

Name: mark-task-success
Availability: InStock
Author: logic

Update tasks.json with the current commit hash to mark task success.

22|5|Updated Mar 16, 2026

Search Tags:#task tracking #ai coding #commit hash #automated marking #Rick CLI

Ready to run

npx skills add https://github.com/logic-math/rick --skill mark-task-success

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mark-task-success
Source: https://github.com/logic-math/rick/tree/main/.rick/skills/mark_task_success_skill
Command: npx skills add https://github.com/logic-math/rick --skill mark-task-success

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of marking task success in AI coding workflows, reducing manual steps and ensuring accurate tracking of task completion.

Core Features & Use Cases

Automated Task Success Marking: Automatically marks tasks as successful upon code commit.
Commit Hash Tracking: Records the commit hash for each task, providing a clear trail of changes.
Use Case: Ideal for teams using AI coding tools that require manual marking of task completion, such as in the Rick CLI framework.

Quick Start

After completing a task, mark it as successful with the command: python3 .rick/skills/mark_task_success_skill/mark_task_success.py --job job_N --task taskX

Frequently Asked Questions about mark-task-success

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate task tracking and mark task success in AI coding workflows?▼

Automated task tracking in AI coding workflows is achieved by running a Python script that updates tasks.json with the current commit hash. This eliminates manual steps and ensures accurate tracking of task completion.

How does commit hash tracking work for task completion in the Rick CLI framework?▼

Commit hash tracking records the specific code commit for each task by updating the tasks.json file. This provides a clear, automated trail of changes directly linking task success to code history in the Rick CLI framework.

Do I need Python and a specific directory structure to mark tasks as successful?▼

Yes, you need Python installed to execute the marking script. The workflow also assumes the presence of a .rick/ directory and a tasks.json file to properly parse and update task completion records.

What's the best way to mark a specific job and task as completed after a code commit?▼

The best way to mark a task completed is by running the Python script with specific arguments: python3 .rick/skills/mark_task_success_skill/mark_task_success.py --job job_N --task taskX.

Why should I use automated task marking instead of manually updating task status?▼

Automated task marking reduces manual steps and prevents human error by directly linking task success to the commit hash. This ensures accurate tracking of task completion and a reliable history of changes.

Can I use this automated task marking for team workflows outside of standard code commits?▼

This task marking is designed for AI coding workflows that require tracking task completion and commit history. It is ideal for teams using AI coding tools that previously required manual marking of task completion.