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iterative-retrieval

Iteratively refine context retrieval across four phases for multi-agent workflows.

Updated Apr 6, 2026
Search Tags:#multi-agent#context refinement#iterative retrieval#subagent workflow#context problem
One-click install
npx skills add https://github.com/thangvawn/agent_financial --skill iterative-retrieval-thangvawn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: iterative-retrieval
Source: https://github.com/thangvawn/agent_financial/tree/main/.cursor/skills/iterative-retrieval
Command: npx skills add https://github.com/thangvawn/agent_financial --skill iterative-retrieval-thangvawn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The Skill solves the "context problem" in multi-agent workflows where subagents need progressively refined context.

Core Features & Use Cases

  • Iterative Retrieval: Refines context in 4 phases for subagents in multi-agent workflows.
  • Progressive Refinement: Ensures that agents receive the context they need as they perform their tasks.
  • Use Case: Ideal for subagents that don't know what context they need upfront, such as in building multi-agent workflows where context evolves.

Quick Start

Run the skill to retrieve context for your multi-agent workflow task.

Frequently Asked Questions about iterative-retrieval

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

FAQPage Schema
How do I refine context retrieval for subagents in a multi-agent workflow?▼

You refine context retrieval for multi-agent workflows by using a 4-phase iterative loop that progressively supplies subagents with the exact context they need as their tasks evolve.

What is the context problem in multi-agent workflows and how does iterative retrieval fix it?▼

The context problem in multi-agent workflows occurs when subagents lack upfront knowledge of required context. Iterative retrieval fixes this by progressively refining context across 4 phases as agent tasks evolve.

How do I optimize token usage during code exploration with multiple agents?▼

To optimize token usage during code exploration, implement iterative context retrieval to ensure subagents only receive progressively refined, necessary context rather than loading excessive upfront information.

When should I use iterative context refinement instead of static context loading for agent orchestration?▼

Use iterative context refinement for agent orchestration when subagents do not know what context they need upfront, requiring progressive retrieval to support evolving tasks in multi-agent workflows.

Does iterative context retrieval require any specific dependencies or framework setups?▼

Iterative context retrieval requires no external dependencies or specific framework setups, operating entirely through included scripts to manage the 4-phase progressive refinement loop.

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