aif-implement

Execute plan-defined tasks and update their statuses in the plan file.

83|5|Updated Oct 17, 2025

Search Tags:#automation #workflow #resume #implement #task-tracking #plan-management

Ready to run

npx skills add https://github.com/ArtemYurov/TomoBar --skill aif-implement-artemyurov

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: aif-implement
Source: https://github.com/ArtemYurov/TomoBar/tree/main/.claude/skills/aif-implement
Command: npx skills add https://github.com/ArtemYurov/TomoBar --skill aif-implement-artemyurov

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates end-to-end implementation workflows by executing tasks from the current plan, tracking progress across sessions, and enabling seamless continuation after interruptions.

Core Features & Use Cases

Sequentially executes tasks defined in the active plan and updates their status as in_progress and completed.
Persists progress across sessions and recovers from breaks, ensuring you can resume with the next pending task.
Reads plan context from .ai-factory/plans and manages commit checkpoints and task dependencies.

Quick Start

Start a session with /aif-implement to resume from the next pending task.

Frequently Asked Questions about aif-implement

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

FAQPage Schema

How do I automate plan-driven task execution and track progress across sessions?▼

Plan-driven task execution is automated by sequentially running tasks from an active plan file, marking statuses as in_progress or completed, and preserving progress metadata to enable seamless resumption across interrupted sessions.

How do I resume software engineering tasks after an interruption?▼

Resuming software engineering tasks after an interruption relies on recovering state from git metadata and the plan file, allowing you to automatically continue from the next pending task without losing prior implementation progress.

What plan file format is required for tracking automated task implementation?▼

Automated task implementation requires a plan source like a .ai-factory/PLAN.md file or branch-named plans, which defines the sequential tasks and is updated immediately with task statuses upon completion.

Can I use automated workflow execution for feature implementation without manual task tracking?▼

Automated workflow execution handles feature implementation without manual tracking by reading plan context, managing commit checkpoints, and handling task dependencies automatically within your software engineering workflows.

What happens to task statuses when a plan-governed workflow is interrupted?▼

When a plan-governed workflow is interrupted, task statuses and progress are preserved through plan metadata and git state recovery, ensuring the implementation can resume reliably from the exact next pending task.

Does automated task implementation work with branch-named plans and git checkpoints?▼

Automated task implementation works with branch-named plans and git checkpoints by reading plan context from .ai-factory/plans, managing commit checkpoints, and recovering state directly from git metadata to ensure reliable continuation.