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abhishekdutta18
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iterative-retrieval

Iteratively refine code search parameters to assemble relevant context for multi-agent workflows.

Updated Mar 15, 2026
Search Tags:#automation#refinement#context#search#retrieval#code
One-click install
npx skills add https://github.com/abhishekdutta18/blogspro --skill iterative-retrieval-abhishekdutta18
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: iterative-retrieval
Source: https://github.com/abhishekdutta18/blogspro/tree/main/.claude/skills/iterative-retrieval
Command: npx skills add https://github.com/abhishekdutta18/blogspro --skill iterative-retrieval-abhishekdutta18

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Subagents often lack relevant context knowledge upfront, leading to incomplete or inefficient task execution.

Core Features & Use Cases

  • Progressive Context Refinement: Iteratively improves retrieval results by evaluating and adjusting search criteria.
  • Multi-Phase Loop: Uses dispatch, evaluation, and refinement phases to narrow down the most relevant code snippets or files.
  • Use Case: When fixing bugs or adding features, efficiently locate the most pertinent code files despite varying naming conventions or code organization.

Quick Start

Use the iterative retrieval pattern to progressively refine search in a large codebase until high-relevance files are identified.

Frequently Asked Questions about iterative-retrieval

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

FAQPage Schema
How do I improve code search accuracy for agents in a complex codebase?▼

Code search accuracy improves through iterative retrieval, which evaluates and adjusts search criteria across multiple phases to narrow down the most relevant code snippets for agents.

Why do subagents lack relevant context during debugging and feature development?▼

Subagents lack relevant context because they do not possess upfront knowledge of varying naming conventions, requiring progressive context refinement to efficiently locate pertinent files.

What is the best way to retrieve code context with minimal resource expenditure?▼

The best way to retrieve code context is using a multi-phase loop that dispatches search queries, evaluates results, and refines parameters to ensure high relevance with minimal resource expenditure.

Can I use iterative retrieval to locate pertinent code files despite varying naming conventions?▼

Yes, iterative retrieval systematically refines codebase context gathering to locate pertinent code files efficiently, overcoming challenges posed by varying naming conventions or code organization.

How does progressive context refinement work for multi-agent workflows?▼

Progressive context refinement works by iteratively evaluating and adjusting retrieval parameters in a dispatch, evaluation, and refinement loop to optimize context assembly for multi-agent workflows.

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