implementer

Delegate implementation, analysis, or review tasks to worker models and output JSON results.

Updated Jun 21, 2025
One-click install
npx skills add https://github.com/aryan-binazir/cc-config --skill implementer-aryan-binazir
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implementer
Source: https://github.com/aryan-binazir/cc-config/tree/main/backup_skills/implementer
Command: npx skills add https://github.com/aryan-binazir/cc-config --skill implementer-aryan-binazir

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows users to outsource tasks such as implementation, analysis, or review to configured worker models, streamlining the process of delegating work to automated scripts.

Core Features & Use Cases

  • Task Outsourcing: Delegate complex tasks to worker models without manual implementation.
  • Worker Models: Select from different models based on task complexity, from low-risk to high-risk scenarios.
  • Integration: Works with existing repositories by generating prompts and capturing outputs in JSON format.

Quick Start

Delegate the task 'Analyze the latest codebase changes for potential issues' to the 'high' tier by running: uv run /home/ar/repos/cc-config/skills/personal_dev/lead/scripts/delegate.py --tier high --prompt-file /path/to/prompts/analyze_prompt.md

Frequently Asked Questions about implementer

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

FAQPage Schema
How do I delegate code review and implementation tasks to worker models?

You can delegate complex implementation, analysis, or review tasks to configured worker models using a delegate script. The script passes a prompt file and repository context to a selected worker model tier, capturing the implementation results in JSON format with summaries and diffs.

What is task delegation to worker models and how does it work?

Task delegation to worker models is the process of outsourcing complex implementation, analysis, or review tasks to automated scripts. The mechanism generates prompts from repository context and captures worker outputs in JSON format with summaries and diffs.

Can I use different worker models for low-risk and high-risk automation tasks?

Yes, you can select from different worker models based on task complexity. The delegate script supports multiple task tiers, allowing you to choose appropriate models for low-risk to high-risk implementation and review scenarios.

Do I need repository context to generate prompts for task outsourcing?

Yes, you need access to repository context for prompt generation and worktree handling. The delegation mechanism relies on this repository context to accurately outsource implementation, analysis, or review tasks to worker models.

What's the best way to automate codebase analysis for potential issues?

The best way to automate codebase analysis is delegating the task to a high-tier worker model via a delegate script. You provide a prompt file detailing the analysis task, and the worker outputs results in JSON format with summaries and diffs.