Mandu Agent Workflow
SkillAI & modelsCanonical Mandu workflow for safe agent-driven application changes.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Mandu Agent Workflow skill
What this skill tells your AI
The instructions your AI receives, as published by konamgil/mandu in skills/official/mandu-agent-workflow/SKILL.md and read by ahel’s review.
Use this skill before changing a Mandu project. The canonical loop is:
context -> plan -> apply -> verify -> repair
Prefer the official MCP tools when available:
mandu.agent.contextmandu.agent.planmandu.agent.applymandu.agent.verifymandu.agent.repairmandu.agent.sync
The CLI equivalents use mandu agent <step>. Domain skills are addenda and
must not replace this workflow. Do not edit .mandu/generated artifacts,
write outside the planned scope, or invoke deployment providers.
For writes, pass explicit typed operations to mandu.agent.plan. Preview is
the default. Execute only the resulting bound plan with mandu.agent.apply
using dryRun=false. CLI fallback:
mandu agent plan "<task>" --operations typed-operations.json --write --json
mandu agent apply --from .mandu/agent-plan.json --json
mandu agent apply --from .mandu/agent-plan.json --execute --write --json
Never weaken or remove baseRevision, content-hash, scope, permission,
idempotency, verification, or rollback fields. An intent-only plan is a
compatibility preview and must not be represented as an executed change.
If a completed receipt must be reverted, use
mandu agent repair --rollback <rollbackId> --apply.
End code-changing work with:
mandu agent verify --changed --json --write
Signals
- GitHub stars
- 46
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
mandu-agent-workflow- Source
- github.com/konamgil/mandu