Agents & OrchestrationSûr100100/100
Continuous Agent Loop
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ npx arboris-cli@latest install continuous-agent-loopaffaan-m
affaan-m/ECC
Contenu à copier
--- name: continuous-agent-loop description: Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. metadata: origin: ECC --- # Continuous Agent Loop This is the v1.8+ canonical loop skill name. It supersedes `autonomous-loops` while keeping compatibility for one release. ## Loop Selection Flow ```text Start | +-- Need strict CI/PR control? -- yes --> continuous-pr | +-- Need RFC decomposition? -- yes --> rfc-dag | +-- Need exploratory parallel generation? -- yes --> infinite | +-- default --> sequential ``` ## Combined Pattern Recommended production stack: 1. RFC decomposition (`ralphinho-rfc-pipeline`) 2. quality gates (`plankton-code-quality` + `/quality-gate`) 3. eval loop (`eval-harness`) 4. session persistence (`nanoclaw-repl`) ## Failure Modes - loop churn without measurable progress - repeated retries with same root cause - merge queue stalls - cost drift from unbounded escalation ## Recovery - freeze loop - run `/harness-audit` - reduce scope to failing unit - replay with explicit acceptance criteria
Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Continuous Agent Loop
loop churn without measurable progress
repeated retries with same root cause
merge queue stalls
cost drift from unbounded escalation
Comment utiliser Continuous Agent Loop
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Continuous Agent Loop
Dis simplement à ton agent quelque chose comme :
Applique le skill continuous-agent-loop à cette tâche
Utilise continuous-agent-loop pour améliorer cette implémentation
Passe en revue ce sujet avec continuous-agent-loop
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