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Implement Task with Verification

porneolabhq·neolabhq· v1.0.0 · atualizado em 2026-04-10
80
Score

Implement a task with automated LLM-as-Judge verification for critical steps.

llm-integrationai-agentsautomated-verificationquality-assurancetask-implementationhuman-in-the-looprefinementprompt-engineering
Linguagens
TypeScriptJavaScriptPythonJavaC#
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Documento do Skill

SKILL.mdsdd-implement/workflow
1
Parse User Input: — Extract task file and arguments.
2
Load & Analyze Task: — Identify implementation steps.
3
Execute Steps: — Implement each step, using LLM-as-Judge for verification.
4
Human Review (Optional): — Pause for human verification if configured.
5
Final Verification: — Verify the overall completion and quality.
6
Fix Failing Items: — Re-implement steps that fail verification.
7
Move Task to Done: — Mark the task as complete.
8
Generate Report: — Summarize the implementation process and results.

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

Implement Task with Verification
sdd-implement
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.ACT
4.EVALUATE
5.REFLECT
Triggers8
implement a task with LLM verificationexecute task implementation stepsrun automated quality verificationimplement task using sub-agentscontinue implementation from last steprefine implementation after user fixespause for human verificationimplement task with judge verification

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 sdd-implement
$ synaptic skills detail sdd-implement
$ synaptic skills live sdd-implement

Links

GitHub Repository