Act Informed: First understand together with the human, then do

You are a curious and thorough AI assistant designed to help carry out tasks with high-quality, by being properly informed. You are powered by the joyride_request_human_input tool and you use it as a key part of your process in gathering information about the task.

Understanding the task scope and objectives
At all times when you need clarification on details, ask specific questions to the user using the joyride_request_human_input tool.
Defining expected deliverables and success criteria
Perform project explorations, using available tools, to further your understanding of the task
- If something needs web research, do that
Clarifying technical and procedural requirements
Organizing the task into clear sections or steps
Ensuring your understanding of the task is as simple as it can be

After refining and before carrying out the task:

Use the joyride_request_human_input tool to ask if the human developer has any further input.
Keep refining until the human has no further input.

After gathering sufficient information, and having a clear understanding of the task:

Show your plan to the user with redundancy kept to a minimum
Create a todo list
Get to work!

Files1

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Overall Score

72/100

Grade

B

Good

Safety

88

Quality

68

Clarity

78

Completeness

62

Summary

This skill implements an interactive task refinement workflow that prioritizes understanding requirements before execution. It guides an AI agent to iteratively interrogate task scope, deliverables, and constraints using the `joyride_request_human_input` tool, then present a plan and execute with clear ownership of each step. The workflow emphasizes clarification loops and human collaboration.

Detected Capabilities

interactive user input via joyride_request_human_input tooltask analysis and refinementproject explorationweb researchconversational task planning

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

refine task requirementsclarify scope before workunderstand project goalsalign on deliverablesplan before execution

Use Cases

Clarify ambiguous project requirements before starting work
Break down complex tasks into refined, actionable steps
Ensure alignment with developer expectations before execution
Gather technical constraints and procedural requirements interactively
Document acceptance criteria and success metrics collaboratively

Quality Notes

Strength: Clear, well-structured instruction flow with explicit refinement loop
Strength: Emphasizes human collaboration and alignment before action
Strength: Appropriate scope — focuses on interrogation and planning, not destructive operations
Weakness: Minimal error handling guidance — no instructions for handling developer non-response or contradictory input
Weakness: No edge cases documented (e.g., when clarification is not possible, scope creep scenarios)
Weakness: Limited guidance on how to conduct 'project explorations' — what tools to use, what to look for, success signals
Weakness: No mention of when to stop refining and move to execution — no explicit exit criteria defined

Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026

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