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Install
$ agentstack add skill-mattjaikaran-meridian-checkpoint ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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/meridian:checkpoint — Manual Save Point
Create a structured checkpoint with notes for later resume.
Arguments
- `` — Optional notes about current state
--blockers— Record blockers
Procedure
Step 1: Determine Current Position
PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
import json
from scripts.db import connect, get_db_path
from scripts.state import compute_next_action, get_status
conn = connect(get_db_path('.'))
status = get_status(conn)
action = compute_next_action(conn)
print(json.dumps({
'milestone_id': status['active_milestone']['id'] if status.get('active_milestone') else None,
'phase_id': status['current_phase']['id'] if status.get('current_phase') else None,
'action': action
}, default=str))
conn.close()
"
Step 2: Gather Recent Decisions
PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
import json
from scripts.db import connect, get_db_path
from scripts.state import list_decisions
conn = connect(get_db_path('.'))
decisions = list_decisions(conn, limit=10)
print(json.dumps(decisions, default=str))
conn.close()
"
Step 3: Create Checkpoint
PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
import json
from scripts.db import connect, get_db_path
from scripts.state import create_checkpoint
conn = connect(get_db_path('.'))
create_checkpoint(conn,
trigger='manual',
milestone_id='',
phase_id=,
notes='',
blockers=,
decisions=,
repo_path='.'
)
conn.close()
print('Checkpoint saved.')
"
Step 4: Export State
PYTHONPATH=$MERIDIAN_HOME uv run --project $MERIDIAN_HOME -- python -c "
from scripts.export import export_state
export_state('.')
print('State exported to .meridian/meridian-state.json')
"
Step 5: Confirm
Print checkpoint summary with timestamp, position, and notes.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: mattjaikaran
- Source: mattjaikaran/meridian
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.