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91
Implements multi-step reasoning loops with self-reflection, backtracking and consistency verification for complex tasks.
reasoningchain-of-thoughtreflectionplanning
Linguagens
multi-language
Documento do Skill
SKILL.mdreasoning-loop/workflow
Multi-Step Reasoning Workflow
1
SENSE — Decompose problem into sub-tasks
2
CONTEXTUALIZE — Gather information needed for each sub-task
3
HYPOTHESIZE — Generate multiple possible approaches
4
EVALUATE — Self-reflection: verify consistency and completeness
5
RECOMMEND — Select best approach with justification
6
ACT — Execute step by step with checkpoints
7
REFLECT — Verify result, backtrack if needed
Telemetria de Agentes
Execuções
37.2K
total
Taxa de Sucesso
88%
últimos 30d
Latência Média
8.5s
p50
Alucinação
5.0%
detecção
Uso por Plataforma
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claude-code14.0K
codex7.0K
Árvore do Skill
Reasoning Loop
reasoning-loop
Fases Cognitivas7
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.EVALUATE
5.RECOMMEND
6.ACT
7.REFLECT
Triggers5
reason aboutthink step by stepcomplex reasoningmulti-stepraciocinar sobre
MCP Servers1
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Skills Associados2
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Score Breakdown
⭐Avaliação Humana89%
🤖Sucesso de Agentes88%
🕐Atualidade96%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo92%
🛡️Segurança49%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança
Instalação
$ skillschain install reasoning-loop
$ skillschain use reasoning-loop