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Iterative Retrieval Pattern

poraffaan-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-retrievalcontext-retrievalraginformation-retrievalsubagent-contextllm-integration
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Documento do Skill

SKILL.mditerative-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 Cognitivas6
1.SENSE
2.CONTEXTUALIZE
3.EVALUATE
4.HYPOTHESIZE
5.ACT
6.REFLECT
Triggers7
refine context retrievalsolve subagent context problemimprove context for agentsiteratively retrieve relevant informationfind relevant files for a taskdynamically adjust search criteriaprogressively refine context

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Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
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