MCPInstall

graph

Deterministic orchestration graph runtime - declarative DAG pipelines with journal-based crash recovery

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill graph
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads graph automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Graph Skill

Run a deterministic orchestration graph from a declarative JSON descriptor. The runtime consumes the sealed-descriptor and pure-scheduler contracts in src/graph/* and executes through an independent OS process (omc graph run), so crash recovery (kill mid-run, rerun, resume from journal) works for real.

Usage

/oh-my-claudecode:graph <descriptor.json>
/oh-my-claudecode:graph "build then test then ask me before deploy"   (author the descriptor first)

The execution surface is always the CLI subcommand:

omc graph run <descriptor.json> [--runs-root <dir>]

Run it via the Bash tool for non-interactive graphs. Progress lines stream as [run], [node], [ok], [fail], [join], [done].

When To Use

  • Repeatable multi-step pipelines with explicit dependencies (DAG)
  • Work that must survive interruption: kill/restart resumes from journal
  • Auditable runs: OCC journal + projection snapshots under .omc/graph-runs/<run_id>/

When NOT to use: exploratory one-off work (use conversation or /team); anything needing adaptive re-planning mid-run (graphs are deterministic).

Workflow

  1. Descriptor given -> go to step 3.

  2. Pipeline described -> author the descriptor JSON (schema below), write it next to the project (suggest .omc/graphs/<name>.json) and show it to the user before running. run_id must be unique per logical pipeline; rerunning with the same run_id RESUMES, not restarts.

  3. Approval nodes: if the descriptor contains any "kind": "human-approval" node, do NOT run it through the Bash tool (stdin is not interactive there; EOF fails closed to denied). Tell the user to run interactively instead:

    ! omc graph run <file>
    

    The ! prefix runs it inside this session with live stdin so y/n works.

  4. Run and relay progress. Exit codes (normative): 0 succeeded | 1 terminal failed | 19 another writer owns this run (busy) 20 corrupt/tampered journal (fail-closed) | 21 descriptor drift on resume | 70 runtime crash (unmapped error)

  5. Resume: rerunning the same command after a crash replays committed transitions and continues. Completed nodes never re-execute.

Descriptor Schema (minimal)

{ "descriptor_version": 1, "run_id": "unique-pipeline-id", "revision_id": "rev-1", "goal": "one line", "nodes": [ { "id": "n1", "kind": "command", "title": "...", "timeout_ms": 60000, "max_attempts": 2, "effect_policy": { "policy": "side_effect_free" }, "command": "npm test" }, { "id": "a1", "kind": "agent", "title": "...", "timeout_ms": 300000, "max_attempts": 1, "effect_policy": { "policy": "side_effect_free" }, "instructions": "..." }, { "id": "gate", "kind": "human-approval", "title": "...", "prompt": "Proceed?" } ], "edges": [ { "id": "e1", "kind": "fixed", "from": "n1", "to": "a1" } ], "entry_node_ids": ["n1"], "concurrency_limit": 2, "terminal_verification_node_id": "a1" }

Edge kinds: fixed | conditional | fan_out/join pairs | back_edge (bounded retries via max_traversals). See src/graph/schema.ts for the authoritative Zod schema — and read the Capability Boundary section above for what built-in executors actually execute today.

Capability Boundary & Semantics (read before authoring)

  • Edge support: built-in command/agent executors cover fixed edges and fan_out/join pairs. conditional and back_edge routes are fully supported by the runtime and scheduler contracts but require a custom NodeExecutor that emits route on its results — built-in executors never produce routes, so graphs relying on them fail fast with route_required rather than guessing.
  • Crash-recovery guarantee is at-least-once for command nodes: a crash between an external side effect and its journal append re-executes that node on resume. For idempotent commands, the resolved key is available to the command as GRAPH_IDEMPOTENCY_KEY before it starts and is also recorded for downstream dedupe. Built-in executors reject reconcile; reconciliation requires a custom executor with an actual external reconciliation authority. Exactly-once for external side effects is out of scope for v1.
  • Command trust boundary: command nodes are arbitrary shell lines with process authority in the current working directory. Only run descriptors you wrote or trust. Command children receive an allowlisted environment (PATH, HOME/USERPROFILE, TEMP/TMP, locale/timezone, USER identity, GRAPH_*, and the optional idempotency key), not the host's full secrets. Commands are not filesystem/process sandboxed.
  • Agent authority boundary: built-in agent nodes are explicitly read-only. They run in the current working directory with no additional directories, only Read, Glob, and Grep, permissionMode: dontAsk, session persistence disabled, and a provider-specific environment allowlist. Agent timeouts abort and interrupt the SDK query. Use a custom executor for any agent that needs mutation or external effects. Treat .omc/graph-runs/<run_id>/descriptor.json as executable content.

FAQ

What does the graph skill do?

Deterministic orchestration graph runtime - declarative DAG pipelines with journal-based crash recovery

How do I install graph?

Run npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill graph in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/graph/ (personal) or .claude/skills/graph/ (project).

Which AI agents can use graph?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is graph safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains graph?

It is published by yeachan-heo in yeachan-heo/oh-my-claudecode. It has 221 recorded installs.

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