Autonomous
Skill that gives AI coding agents persistent memory and quality enforcement
npx -y skills add mattjaikaran/meridian --skill autonomousAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.5 KB, as published. Nobody here has run it
/meridian:autonomous — Hands-Free Execution
Run discuss→plan→execute for each remaining phase without manual intervention.
Arguments
--from <phase_id>— Start from this phase.--to <phase_id>— Stop after this phase.--only <phase_id>— Run a single phase autonomously.
Keywords
autonomous, auto, hands-free, unattended, run all, batch execute
Procedure
- Plan the run — Determine which phases need processing.
PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
import json
from scripts.db import open_project
from scripts.autonomous import plan_autonomous_run
from scripts.state import get_status
with open_project('.') as conn:
status = get_status(conn)
ms = status.get('active_milestone')
if not ms:
print('ERROR: No active milestone')
else:
result = plan_autonomous_run(conn, ms['id'])
print(json.dumps(result, default=str, indent=2))
"
-
For each phase, determine the next step and dispatch:
discuss→ Run/meridian:discuss --autofor the phaseplan→ Run/meridian:planfor the phaseexecute→ Run/meridian:executefor the phaseverify→ Transition to reviewingcomplete→ Skip (already done)
-
On failure, stop the loop and report which phase/step failed with error context. The state is resumable — running
/meridian:autonomousagain picks up where it left off.
Output
Show progress per phase: phase name, current step, result. On completion, show summary of phases processed.