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Iterative Retrieval Pattern
por
affaan-m
·
affaan-m
· v1.0.0 · atualizado em 2026-04-10
82
Score
Pattern for progressively refining context retrieval to solve the subagent context problem
iterative-retrieval
context-retrieval
rag
information-retrieval
subagent-context
llm-integration
0
Stars
0
Forks
0
Usos
Cursor
Claude Code
Claude Desktop
Codex
Copilot
Windsurf
Zed
Fork
Documento do Skill
📋 Workflow
✅ Best Practices
🎯 Triggers & Fases
SKILL.md
iterative-retrieval/workflow
1
Dispatch:
— Start with a broad query to gather candidate files.
2
Evaluate:
— Assess the retrieved content for relevance, scoring each file.
3
Refine:
— Update the search criteria based on the evaluation, adding new patterns and keywords.
4
Loop:
— Repeat the dispatch, evaluate, and refine steps for a maximum of 3 cycles.
5
Check:
— After each cycle, check if sufficient context has been found.
6
Return:
— Return the files with the highest relevance.
Telemetria de Agentes
Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec
Uso por Plataforma
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Árvore do Skill
Iterative Retrieval Pattern
iterative-retrieval
Fases Cognitivas
6
1.
SENSE
2.
CONTEXTUALIZE
3.
EVALUATE
4.
HYPOTHESIZE
5.
ACT
6.
REFLECT
Triggers
7
refine context retrieval
solve subagent context problem
improve context for agents
iteratively retrieve relevant information
find relevant files for a task
dynamically adjust search criteria
progressively refine context
Avaliar este Skill
Score Breakdown
⭐
Avaliação Humana
0%
🤖
Sucesso de Agentes
0%
🕐
Atualidade
100%
🔗
Saúde de Dependências
100%
🕸️
Centralidade no Grafo
0%
🛡️
Segurança
50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança
Instalação
$
synaptic mcp download iterative-retrieval
$
synaptic skills detail iterative-retrieval
$
synaptic skills live iterative-retrieval
Links
GitHub Repository