Synaptic SkillsSynapticSkills
MarketplaceSkill GraphCriar SkillMCP ServerPlataformaEnterprise
v0.1.0-beta
Voltar ao Marketplace
AgentsMédio

Ralph Loop

porandrelandgraf·andrelandgraf· v1.0.0 · atualizado em 2026-04-10
83
Score

Complete setup for automated agent-driven development. Define features as user stories with testable acceptance criteria, then run AI agents in a loop until all stories pass.

ai-agentsautomated-developmentagent-loopuser-storiestest-driven-developmentai-assisted-coding
0Stars
0Forks
0Usos
Fork

Documento do Skill

SKILL.mdralph-loop/workflow
1
Define User Stories: — Create structured user stories with testable acceptance criteria.
2
Configure AI Agents: — Set up AI coding agents with project-specific guidelines and configurations.
3
Run Agent Loop: — Initiate the Ralph agent loop to implement features from user stories.
4
Verify Acceptance Criteria: — Automatically verify if the implemented code meets the acceptance criteria.
5
Log Progress: — Record the progress of each agent, noting successful and failed criteria.
6
Iterate: — Repeat the loop, using the logged progress to guide the next agent's actions.

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

Skills Relacionados

Similar aClawDirect
60%
Hebbian Synapse
Composite0.600
w = 0.3·α + 0.5·β + 0.2·γ
77
Similar aClawDirect-Dev
60%
Hebbian Synapse
Composite0.600
w = 0.3·α + 0.5·β + 0.2·γ
80
Similar aAnti-Detect Browser SDK
60%
Hebbian Synapse
Composite0.600
w = 0.3·α + 0.5·β + 0.2·γ
79

Árvore do Skill

Ralph Loop
ralph-loop
Fases Cognitivas6
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.EVALUATE
5.ACT
6.REFLECT
Triggers8
setup automated agent developmentrun AI agents in a loopimplement features with AI agentsverify acceptance criteria automaticallyautomate agent-driven developmentuse Ralph for agent loopingcreate a development loop with AIimplement user stories with AI agents

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 ralph-loop
$ synaptic skills detail ralph-loop
$ synaptic skills live ralph-loop

Links

GitHub Repository