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Fable 5 orchestrator-executor pattern for big tasks
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Journal reasoning (decisions, findings, issues, constraints, risks) into a Flatbread Effort Graph and recall it with bounded reads. Use when starting or resuming a thread of work, recording a decision or finding, resolving an issue, checking what is blocking or still open on an effort, or when the user mentions effort graph, journaling, blocking decisions, or agent memory.
Sharpen a project's vocabulary and planning through one-question-at-a-time grilling, then journal Decisions, Constraints, Findings, Issues, and Risks into the Flatbread Effort Graph. Use when a plan needs durable reasoning instead of ADRs.
Run a relentless one-question-at-a-time planning interview that sharpens vocabulary and journals durable reasoning into the Flatbread Effort Graph. Use when a plan is fuzzy and needs an Effort Graph trail instead of ADRs.
Decompose a user's task into a DAG of subtasks and execute them with Cursor SDK local subagents in topological order, rendering live streaming status to a canvas. Each task has a complexity (HIGH/MED/LOW) that maps to a model. Use when the user asks to fan out work, decompose a task into a DAG, run subagents in parallel, or break a large task into a dependency graph.
DEPRECATED ALIAS — the DAG task runner has been promoted to the workspace package @flatbread/proof. Use the `proof` skill (.cursor/skills/proof/SKILL.md) for new work; this entry only exists to redirect agents that still reference the old name.
Guide schema-breaking Flatbread migrations across core schema generation, resolver arguments, generated TypeScript, CLI behavior, examples, docs, and coordinated monorepo releases. Use when a change may alter IDs, refs, filters, root query names, generated types, config shape, publish scripts, or example app behavior.
| name | orchestrator-executor |
| description | Fable 5 orchestrator-executor pattern for big tasks |
You (Fable) are the orchestrator. Plan, decompose, synthesize. Reasoning-heavy phases go to deep-reasoner (5.6 Terra). Mechanical work goes to fast-worker (5.6 Luna). For high-stakes decisions, run deep-reasoner twice with slightly different framings and synthesize the best of both. Keep your own context lean. Delegate rather than doing mechanical work yourself.
