From fable5-skills
Patterns for parallel subagent delegation with Claude Fable 5: split tasks, async coordination, long-lived workers, and verifiers with clean contexts.
How this skill is triggered — by the user, by Claude, or both
Slash command
/fable5-skills:subagent-orchestrationThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Fable 5 dispatches and sustains parallel subagents far more dependably than prior models. Used well this cuts wall-clock time and improves verification quality; used badly it burns tokens on coordination overhead. The patterns:
Fable 5 dispatches and sustains parallel subagents far more dependably than prior models. Used well this cuts wall-clock time and improves verification quality; used badly it burns tokens on coordination overhead. The patterns:
Split out a subtask when it is (a) independent of your current working context, (b) large enough to amortize the handoff, and (c) specifiable in a few sentences plus file pointers. Don't delegate tightly coupled edits — coordination costs exceed parallelism gains.
For checking finished work, a separate verifier subagent with a clean context outperforms self-critique: it can't share your blind spots because it doesn't share your assumptions. Give the verifier the specification and the output — not your reasoning — and have it report discrepancies against the spec at a defined cadence (every N components, every X hours) rather than once at the end.
A good subagent brief contains exactly: goal (one sentence), inputs (paths/data), definition of done (checkable), constraints (what not to touch), and where to write results. If you can't fill these in, the task isn't ready to delegate.
npx claudepluginhub kpab/claude-fable-5-skills --plugin fable5-skillsLaunches a fresh-context subagent to verify finished work instead of self-critique. Useful when self-review misses mistakes or for multi-agent harnesses.
Guides subagent dispatch decisions: when to delegate vs work inline, the delegation contract, model/effort selection, parallel fan-out sizing, and verifier agent patterns. Use before any Agent tool call.
Patterns and principles for orchestrating parallel subagent execution: work decomposition (fan-out/fan-in, map-reduce), isolation, result synthesis, and failure handling. Use when a task splits into independent subtasks.