What is gap classification in this context?

Gap classification categorizes missing information into Knowledge (resolvable by research), Preference (requires user input), or Scope (requires architectural adjustment) to determine the most efficient next step.

How does this skill prevent infinite loops?

It uses Pass Evolution tracking to monitor if gaps are converging or recurring; if the same issues persist across multiple passes, it triggers an escalation to the user.

Does this skill take control away from the user?

No, the skill follows a 'Halt Escalation' pattern which ensures that the agent never force-terminates a process without presenting the user with clear options for the final say.

Why is the validation gate important?

Validation gates catch blind spots before they affect downstream tasks, preventing 'perfect-looking' but flawed outputs from causing wasted iterations later in the workflow.

Human-in-Loop Workflow Strategy

Name: Human-in-Loop Workflow Strategy
Author: deepeshBodh

bydeepeshBodh

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Productivity & Workflow

Implements universal workflow patterns for multi-agent systems to ensure high-quality output through rigorous validation, gap analysis, and human-centric escalation.

The Strategy Core skill provides a sophisticated framework for Claude Code agents to manage complex, multi-step tasks with high reliability. It establishes a set of advisory patterns—such as validation gates, gap classification, and pass evolution—that prevent common agentic failures like infinite looping or hallucinated decision-making. By distinguishing between technical knowledge gaps (resolvable via research) and preference gaps (requiring user input), it ensures that Claude remains productive while respecting the user's ultimate authority over the development process.

Key Features

01Validation gate enforcement for every agent output

02Intelligent gap classification (Knowledge vs. Preference vs. Scope)

0324 GitHub stars

04Convergence tracking across multiple iteration passes

05Anti-pattern detection to prevent infinite loops and wasted compute

06Human-centric halt escalation with clear decision options

Use Cases

01Streamlining feedback loops by automatically identifying when user input is required vs. when research is needed.

02Orchestrating complex multi-agent coding tasks that require high precision.

03Improving project reliability by enforcing a SPEC-first validation architecture.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add deepeshbodh/human-in-loop strategy-core

For use in Claude.ai and ChatGPT

Download Skill