continuous-agent-loop
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
Best use case
continuous-agent-loop is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
Teams using continuous-agent-loop should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/continuous-agent-loop/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How continuous-agent-loop Compares
| Feature / Agent | continuous-agent-loop | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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` + `/egc-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 `/egc-harness-audit` - reduce scope to failing unit - replay with explicit acceptance criteria
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