What is the CLEAR framework in this context?

CLEAR stands for Concise, Logical, Explicit, Adaptive, and Reflective. It is a set of writing guidelines used to structure task prompts so they are easy for worker agents to follow without ambiguity.

How does CoVe improve agent task execution?

Chain of Verification (CoVe) forces an agent to generate an initial draft, ask falsifiable questions about its own claims, and revise the output based on evidence, which significantly reduces hallucinations.

How does this skill handle task verification?

It generates specific acceptance criteria and verification commands (like test scripts or file checks) that the worker agent must execute to prove the task is completed correctly.

Does this skill work with any AI worker agent?

While optimized for Claude Code, the resulting task prompts and TASK.md files are designed to be universally interpreted by any high-capability worker agent or LLM.

When should I use the CLEAR + CoVe skill?

Use it when creating complex multi-step plans, multi-agent workflows, or tasks involving critical factual accuracy like API configurations, versioning, and environment-specific specs.

CLEAR + CoVe Task Designer

Name: CLEAR + CoVe Task Designer
Author: Jamie-BitFlight

byJamie-BitFlight

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Productivity & Workflow

Optimizes AI agent task instructions using the CLEAR writing framework and Chain of Verification to eliminate ambiguity and hallucinations.

This skill provides a robust framework for planning and orchestrating agent swarms by combining CLEAR (Concise, Logical, Explicit, Adaptive, Reflective) guidelines with CoVe (Chain of Verification) logic. It enables orchestration agents to generate high-precision task files or prompts that are independently executable, verifiable through strict acceptance criteria, and resistant to factual errors. By treating every task file as a prompt with operational consequences, it ensures worker agents deliver consistent, high-quality results without requiring constant human clarification.

Key Features

01Includes linting rules to validate the quality and clarity of generated instructions.

02Provides standardized markdown templates for agent-to-agent task prompts.

03Implements the CLEAR framework for concise and logical task structuring.

04Enables complex orchestration for multi-agent swarms with built-in quality gates.

0518 GitHub stars

06Integrates Chain of Verification (CoVe) to reduce hallucinations in factual tasks.

Use Cases

01Designing multi-step plans for AI agent swarms where tasks must be independently executable.

02Generating high-stakes configuration or API tasks that require zero-tolerance for factual errors.

03Refining vague development requirements into explicit, verifiable instructions with measurable success criteria.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jamie-bitflight/claude_skills clear-cove-task-design

For use in Claude.ai and ChatGPT

Download Skill