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codegen-context

Construct coding prompts for AI agents from task specifications and verification contracts.

2|1|Updated Apr 7, 2026
Search Tags:#verification#AI agent#task specification#prompt assembly#coding prompt
One-click install
npx skills add https://github.com/bigeasyfreeman/adlc --skill codegen-context
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codegen-context
Source: https://github.com/bigeasyfreeman/adlc/tree/main/skills/codegen-context
Command: npx skills add https://github.com/bigeasyfreeman/adlc --skill codegen-context

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of coding prompts for AI agents, ensuring they have the necessary context and instructions to perform specific tasks.

Core Features & Use Cases

  • Prompt Assembly: Constructs coding prompts from various sources such as briefs, research, and verification metadata.
  • Task Classification: Dynamically generates prompts based on the classification of the task (e.g., feature, bugfix, build-validation).
  • Verification Integration: Embeds verifier contracts within the prompts to guide the AI agent's verification process.

Quick Start

Use the codegen-context skill to generate a coding prompt for a feature task with ID 'BE-001'.

Frequently Asked Questions about codegen-context

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

FAQPage Schema
How do I assemble coding prompts for AI agents from task specifications?▼

Coding prompts for AI agents are constructed by feeding task specifications, research deliverables, and build briefs into the skill. It dynamically generates a structured prompt, embedding verifier contracts and normalizing acceptance criteria for the agent to follow.

How do I integrate verification contracts into AI agent prompts?▼

Verification contracts are embedded directly within the assembled coding prompts to guide the AI agent's verification process. This integration ensures the agent validates its work against the normalized acceptance criteria specified in the task details.

Can I generate different coding prompts based on task classification like bugfix or feature?▼

Yes, coding prompts are dynamically generated based on the classification of the task. The skill adjusts the assembled prompt structure depending on whether the task is classified as a feature, bugfix, or build-validation task.

What input data is required to generate coding prompts for AI agents?▼

Generating coding prompts requires input data containing task details, research deliverables, and build briefs. These sources provide the necessary context for the skill to construct a structured and accurate prompt for the AI agent to follow.

What is the best way to normalize acceptance criteria for AI coding tasks?▼

Acceptance criteria are normalized automatically during the prompt assembly process. By integrating verification metadata and task specifications, the skill ensures the AI agent receives clear, standardized criteria to validate its coding output.

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