skills.rest
drvoss
drvossCOMMUNITY
Explore all skills by this author →
GitHub

context-engineering

Structure prompts and task context with scope, constraints, and evaluation criteria.

42|9|Updated Mar 16, 2026
Search Tags:#multi-agent#context-engineering#prompt-design#ai-prompting#workflow-planning#signal-noise
One-click install
npx skills add https://github.com/drvoss/everything-copilot-cli --skill context-engineering-drvoss
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: context-engineering
Source: https://github.com/drvoss/everything-copilot-cli/tree/main/skills/development/context-engineering
Command: npx skills add https://github.com/drvoss/everything-copilot-cli --skill context-engineering-drvoss

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Context Engineering provides a structured approach to designing prompts and task contexts so AI agents receive clear, signal-rich information and noise is minimized across multi-agent workflows.

Core Features & Use Cases

  • Structured task templates that separate objective, givens, constraints, and Done-When criteria to standardize prompts.
  • Progressive disclosure guidance to reveal only the necessary information at each phase, improving efficiency and focus.
  • Multi-agent orchestration support by aligning context and expectations across agents for reliable collaboration.

Quick Start

Create a structured prompt template that includes Task, Given, Constraints, and Done When sections.

Frequently Asked Questions about context-engineering

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

FAQPage Schema
How do I structure prompts for AI agents to reduce noise and improve reliability?▼

To improve AI agent reliability, structure prompts using a task template that separates objectives, givens, constraints, and Done-When criteria to maximize signal and minimize noise.

What is context engineering for multi-agent workflows?▼

Context engineering is the practice of designing structured task contexts and prompts to align expectations across multiple AI agents, ensuring reliable collaboration through signal-rich information.

How do I format task context for progressive disclosure in AI prompting?▼

Format task context for progressive disclosure by structuring templates to reveal only the necessary information at each execution phase, improving AI agent efficiency and focus.

Does context engineering work for standardizing prompts across multi-agent scenarios?▼

Yes, context engineering standardizes prompts across multi-agent scenarios by defining explicit scope, constraints, and evaluation criteria to ensure stable task formats and reliable agent guidance.

What are the limitations of using structured task templates for AI prompt design?▼

Structured task templates require precise upfront definition of scope, constraints, and Done-When criteria; without explicit guidance, templates alone may not prevent agent unreliability in complex workflows.

Related Skills

Explore More Software Engineering Skills→
trueratruera
3.5k

trulens-dataset-curation

Create and curate ground-truth evaluation datasets for TruLens.

Official
Intermediate
DicklesworthstoneDicklesworthstone
70

agent-swarm-workflow

Coordinate parallel software tasks across multiple agents using Agent Mail and BV prompts.

Community
Advanced
vinhnxvvinhnxv
6

devise

Coordinate multi-agent planning workflows with Agent Teams for brainstorm, research, synthesis, and plan delivery.

Community
Advanced
vfaraji89vfaraji89
17

context-engineering

Plan token budgets and prevent context rot in AI-assisted development workflows.

Community
Intermediate