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event-model-distill

Distill Grain Event Model topology from an existing system as the topology companion to Allium distill.

Skill by ObneyAI

IndexedMIT★ 127
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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/obneyai-event-model-distill

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

Distill Grain Event Model topology from an existing system as the topology companion to Allium distill. Use when code or a live Grain catalog exists and the user wants commands, events, read models, queries, processors, schedules, screens, flows, and links to distilled Allium declarations.

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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/event-model-distill

What's inside

Skill name
event-model-distill
Description
Distill Grain Event Model topology from an existing system as the topology companion to Allium distill. Use when code or a live Grain catalog exists and the user wants commands, events, read models, queries, processors, schedules, screens, flows, and links to distilled Allium declarations.
License
MIT
Instructions
13 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Event Model Distill

Run Allium `distill` to capture intentional observable behaviour. Independently
inspect Grain `def*` sites and, when available, the live `catalog` to construct
the service-area topology. Treat registries and schemas as authoritative facts;
infer design-only screens and flows from boundaries and data movement.

Link each command to its matching distilled Allium rule and each screen to its
surface. Mark uncertain topology as an open question instead of inventing it.
Validate structurally, then run the composition gate. Review intended versus
accidental behavior in Allium before treating the result as durable context.

From ObneyAI/grain, MIT.

Signals

Stars
127
Forks
9
Open issues
4
Last commit (this folder)
Aug 7, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

event-model-distill skill. Agent Mart. https://agentmart.dev/skills/obneyai-event-model-distill (last updated 2026-10-24)