agent-loop-ext
Crash-resilient external agent loop with state persistence and CI/CD integration
Enable and explain the reusable human-in-the-loop gates used by persistent agent loops for destructive actions, false-positive overrides, and recovery escalation.
$ npx -y skills add jmagly/aiwg --skill agent-persistence --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/agent-persistenceContext preview
The summary Claude sees to decide when to auto-load this skill.
Enable and explain the reusable human-in-the-loop gates used by persistent agent loops for destructive actions, false-positive overrides, and recovery escalation.
namespace: aiwg name: agent-persistence platforms: [all] description: Enable and explain the reusable human-in-the-loop gates used by persistent agent loops for destructive actions, false-positive overrides, and recovery escalation. triggers: - enable agent persistence gates - configure human checkpoints for agent loops - add destructive action authorization - configure recovery escalation gates
Use this driver to activate or understand the `agent-persistence` addon:
aiwg use agent-persistence
The addon supplies deterministic gate definitions, not a replacement loop runtime. Compose it with `agent-loop` or another orchestrator that supports human checkpoints.
Read the gate contract before integrating it, preserve its authorization boundary, and use the owning loop's status surface to verify activation.
Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.
Repo: jmagly/aiwg
Crash-resilient external agent loop with state persistence and CI/CD integration
Detect requests for iterative autonomous agent loops and route to the appropriate loop executor
Automatically execute tests when code-generating agents modify source files, enforcing the execute-before-return pattern
Enable agent loops to learn from similar past tasks and share patterns across loops
Query and manage the executable feedback debug memory
Execute tests on generated code and iterate until passing