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Context Manifest: [Product/Feature Name]

pordeanpeters·deanpeters· v1.0.0 · atualizado em 2026-04-10
83
Score

Diagnose context stuffing vs. context engineering. Assess practices, define boundaries, and advise on memory architecture, retrieval, and the Research→Plan→Reset→Implement cycle.

context-engineeringrag-optimizationinformation-architectureai-designprompt-engineeringcontext-managementllm-performance
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Documento do Skill

SKILL.mdcontext-engineering-advisor/workflow
1. Gather context about current AI usage and symptoms.
2. Diagnose context stuffing symptoms.
3. Ask diagnostic questions to evaluate context relevance and necessity.
4. Define memory architecture (short-term vs. long-term).
5. Implement the Research → Plan → Reset → Implement cycle.
6. Create an action plan with next steps.
7. Review and iterate on the context engineering process.

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

Context Manifest: [Product/Feature Name]
context-engineering-advisor
Fases Cognitivas6
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.EVALUATE
5.RECOMMEND
6.ACT
Triggers8
diagnose context stuffingimprove RAG performanceoptimize context for AIengineer context for LLMsdefine context boundariesimplement research plan reset implement cycleassess context hoarding disorderadvise on memory architecture for AI

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 context-engineering-advisor
$ synaptic skills detail context-engineering-advisor
$ synaptic skills live context-engineering-advisor

Links

GitHub Repository