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Hindsight Documentation Skill

porvectorize-io·vectorize-io· v1.0.0 · atualizado em 2026-04-10
80
Score

Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.

hindsightmemory-systemai-agentdocumentationknowledge-retrievalragmemory-management
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Documento do Skill

SKILL.mdhindsight-docs/workflow
1. Determine the user's information need regarding Hindsight.
2. Identify the relevant documentation category (developer, SDK, cookbook).
3. Use file patterns (glob) to locate potential documentation files.
4. If necessary, search file content (grep) for specific keywords or concepts.
5. Read the full documentation file(s) using the `Read` tool.
6. Extract and present the relevant information to the user.
7. Provide code examples or configuration instructions as needed.

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

Hindsight Documentation Skill
hindsight-docs
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.EVALUATE
5.RECOMMEND
Triggers8
explain Hindsight architecturehow to use Hindsight APIconfigure Hindsight memory banksintegrate Hindsight with Pythonunderstand Hindsight retrieval strategiesdebug Hindsight performance issuesfind Hindsight cookbook exampleswhat are Hindsight dispositions

Avaliar este Skill

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 hindsight-docs
$ synaptic skills detail hindsight-docs
$ synaptic skills live hindsight-docs

Links

GitHub Repository