milknado-plan
Use the Milknado MCP tools to decompose a goal into a Mikado-style change graph and produce a token-budgeted batch plan.
Skill by paulnsorensen
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/paulnsorensen-milknado-plan
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/milknado-plan
What's inside
- Skill name
milknado-plan- Description
- Use the Milknado MCP tools to decompose a goal into a Mikado-style change graph and produce a token-budgeted batch plan.
- License
- MIT
- Compatibility
- Requires the milknado MCP server to be configured and running.
- Instructions
- 57 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (1)
- SKILL.md
SKILL.md (first lines)
# Milknado Plan
Use this skill to turn a high-level goal into a structured Mikado execution plan
backed by the Milknado graph. The skill calls the Milknado MCP server to inspect
the current graph state, decompose the goal into fine-grained changes, and
persist each change as a graph node.
## When to use
- Starting a new feature, refactor, or bug fix that touches multiple files.
- Resuming an interrupted plan (add delta nodes without recreating existing ones).
- Validating that a set of proposed changes can be batched within a token budget.
## Steps
1. **Inspect the graph** — call `milknado_graph_summary` to check for existing
nodes. If nodes exist, operate in resuming mode.
2. **Read context** — read the relevant source files, spec documents, or issue
descriptions needed to understand the goal.
3. **Decompose** — produce a v2 change manifest: file-level changes with
`id`, `path`, `edit_kind`, `description`, `symbols`, and `depends_on`.
4. **Validate batches** — call `milknado_plan_batches` with the manifest to
confirm the solver produces a feasible batch plan.
5. **Persist nodes** — call `milknado_add_node` for each change, linking
prerequisite relationships via `parent_id`.
6. **Summarise** — report the number of nodes created, batch count, and any
oversized or infeasible batches that need attention.
## Milknado MCP tools
| Tool | Purpose |
|---|---|
| `milknado_graph_summary` | Read the current graph (id, status, description per node). |
| `milknado_add_node` | Add a new work node, optionally linked to a parent. |
| `milknado_plan_batches` | Compute token-budgeted, precedence-respecting batches. |
## Manifest v2 quick reference
```json
{
"manifest_version": "milknado.plan.v2",
"goal": "Short goal statement",
"goal_summary": "What / why / success criteria (2–4 sentences).",
"changes": [
{
"id": "c1",
"path": "src/example.py",
"edit_kind": "modify",
"description": "Causal description referencing the goal.",
"symbols": [{"name": "ExampleClass", "file": "src/example.py"}],
"depends_on": []
}
]
}
```
**Closed `edit_kind` values:** `add`, `modify`, `delete`, `rename`From paulnsorensen/cheese-flow, MIT.
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Signals
- Stars
- 1
- Forks
- 1
- Open issues
- 25
- Last commit (this folder)
- Apr 27, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/paulnsorensen/cheese-flow
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
milknado-plan skill. Agent Mart. https://agentmart.dev/skills/paulnsorensen-milknado-plan (last updated 2026-10-24)