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Parallel Task Executor (Sparky Rolling 12-Agent Pool)

poram-will·am-will· v1.0.0 · atualizado em 2026-04-10
78
Score

>

agent-orchestrationparallel-executiontask-managementllm-agentscode-integrationdevelopment-workflow
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Documento do Skill

SKILL.mdsuper-swarm-spark/workflow
1. Parse the user request to identify the plan file and task subset.
2. Read and parse the plan file, extracting task details and context.
3. Build a context pack for each task, including file paths, naming conventions, and dependencies.
4. Launch Sparky subagents in a rolling pool (max 12), assigning tasks with context packs.
5. Validate the output of each subagent and update the plan file.
6. Perform a final integration pass to reconcile conflicts and ensure codebase integrity.
7. Run tests and fix failures until all tests pass.
8. Provide a completion summary with task status, issues, and resolutions.

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

Parallel Task Executor (Sparky Rolling 12-Agent Pool)
super-swarm-spark
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.ACT
4.EVALUATE
5.REFLECT
Triggers6
execute plan with super-swarmrun tasks in parallel using sparky agentsimplement plan using rolling agent poolorchestrate sparky subagentsprocess plan file with parallel agentsuse super-swarm to implement a development plan

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 super-swarm-spark
$ synaptic skills detail super-swarm-spark
$ synaptic skills live super-swarm-spark

Links

GitHub Repository