mark-task-success
CommunityEffortlessly mark task success in AI coding workflows.
Authorlogic-math
Version1.0.0
Installs0
System Documentation
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
Dependency Matrix
Required Modules
python
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mark-task-success Download link: https://github.com/logic-math/rick/archive/main.zip#mark-task-success Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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