Skill access pattern (post-kernel-pivot, 2026.5+)
Skill names referenced in this document are AIWG skills, not slash commands. Most are not kernel-listed and cannot be invoked as
/skill-nameby the platform. Reach them via:aiwg discover "<capability>" aiwg show skill <name>Only kernel-listed skills (
aiwg-doctor,aiwg-refresh,aiwg-status,aiwg-help,use,steward) are directly invokable as slash commands. See skill-discovery rule.
Al Resume
Resume a paused or interrupted agent loop.
Usage
/ralph-resume # Resume with existing settings
/ralph-resume --max-iterations 20 # Resume with higher iteration limit
/ralph-resume --timeout 120 # Resume with longer timeout
Parameters
--max-iterations N
Override the maximum iterations limit. Useful when loop stopped at limit but was making progress.
--timeout M
Override the timeout in minutes. Useful when loop timed out but task is close to completion.
Your Actions
Step 1: Load State
- Read
.aiwg/ralph/current-loop.json - Verify loop can be resumed (status != 'success', status != 'aborted')
- Load iteration history and learnings
If no resumable loop:
No agent loop to resume.
Status: {status}
{If success}: Loop completed successfully. Start a new loop with /ralph
{If aborted}: Loop was aborted. Start fresh with /ralph
{If no state}: No loop found. Start with /ralph "task" --completion "criteria"
Step 2: Update Settings
Apply any parameter overrides:
- Update
maxIterationsif --max-iterations provided - Update
timeoutMinutesif --timeout provided - Reset timeout start time for extended timeout
Step 3: Resume Execution
Continue the agent loop pattern:
- Display resume status:
Resuming Agent Loop
Task: {task}
Completion: {completion}
Previous iterations: {N}
Remaining iterations: {max - N}
Last result: {lastResult}
Learnings so far: {learnings}
Continuing from iteration {N+1}...
- Execute next iteration with accumulated learnings
- Follow standard agent loop verification
- Continue until success or new limits reached
Step 4: Handle Completion
Same as ralph - generate completion report on success or limit.
Resume Context
When resuming, include in the task context:
## Agent Loop Resume Context
**Original Task**: {task}
**Completion Criteria**: {completion}
**Previous Iterations**: {N}
**Accumulated Learnings**:
{for each iteration}
- Iteration {i}: {action} -> {result}. Learned: {learnings}
{end for}
**Current State**:
- Last attempt: {lastResult}
- Key insight: {most recent learning}
**Your Goal**:
Continue iterating from iteration {N+1}.
Apply learnings from previous iterations.
Verify against completion criteria after each attempt.
Error Handling
Loop completed successfully:
This agent loop already completed successfully.
Final status: SUCCESS
Iterations: {N}
Report: .aiwg/ralph/completion-{timestamp}.md
To run again, start a new loop:
/ralph "task" --completion "criteria"
Loop was aborted:
This agent loop was aborted and cannot be resumed.
To start fresh with the same task:
/ralph "{original task}" --completion "{original completion}"
State corrupted:
Agent loop state is corrupted or incomplete.
Options:
1. Start fresh: /ralph "task" --completion "criteria"
2. Clean up: rm -rf .aiwg/ralph/ then start new loop
Example Scenarios
Max Iterations Override
Previous loop stopped at iteration 10:
/ralph-resume --max-iterations 20
Continues with 10 more iterations available.
Timeout Override
Previous loop timed out at 60 minutes:
/ralph-resume --timeout 120
Continues with fresh 120-minute timeout.
Simple Resume
Loop interrupted (network, restart, etc.):
/ralph-resume
Continues from last checkpoint with original settings.
Related
ralph-status- Check what state the loop is inralph-abort- Stop instead of resumeralph- Start new loop
References
- @$AIWG_ROOT/agentic/code/addons/ralph/README.md — Ralph addon overview and loop executor documentation
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/vague-discretion.md — Loop termination and iteration limit rules
- @$AIWG_ROOT/docs/cli-reference.md — CLI reference for ralph-resume and related commands
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/instruction-comprehension.md — Re-reading original task instructions on resume