subagent: tell agents they can liberally spawn haiku, even at high effort
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2 changed files with 31 additions and 7 deletions
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@ -52,13 +52,33 @@ Model choice, prompt hygiene, splitting big batches, verify-then-report —
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everything else in this skill — applies exactly the same whether you're
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calling the tool or thinking through the recipe by hand.
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## Model choice
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Pick the cheapest model that can do the job, and lean toward the cheap end
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more readily than you might for your own work — a subagent is throwaway
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compute, not a peer you're rationing. Haiku in particular is cheap enough
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that you don't need to be precious about spinning one up: for a mechanical,
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well-scoped batch (the shape this skill is for), reach for it liberally
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rather than defaulting to a bigger model "to be safe." Haiku also stays
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cheap even at `effort: high` — unlike a frontier model, where effort and
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cost scale together, so there's no need to cap Haiku's effort the way the
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Effort section below recommends for cost reasons; raise it freely if the
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task benefits from the extra reasoning.
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This isn't "always pick the smallest model regardless of task" — a batch
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that actually needs judgement calls still wants a stronger model (see
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Pitfalls below). It's "don't under-use Haiku out of habit-driven caution
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when the task is mechanical enough for the skill to apply at all."
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## Effort
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An omitted `effort` defaults to `medium` here — cheaper than claude's own
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model default (`high` on most models), a deliberate cost-conscious choice
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for subagent work specifically, same spirit as "cheaper-than-you" model
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choice above. Raise it explicitly when the task is complex enough to
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actually need deeper reasoning, not as a reflex.
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for subagent work specifically, same spirit as the model-choice guidance
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above. Raise it explicitly when the task is complex enough to actually
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need deeper reasoning, not as a reflex. **Exception: on Haiku, cost doesn't
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scale with effort the way it does on a frontier model** — see Model choice
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above, don't apply this same-default-medium caution to a Haiku subagent.
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Anthropic's own levels (per current Claude Code docs — names/availability
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are model-dependent, check before relying on an exact list): `low`,
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@ -44,9 +44,11 @@ struct StartArgs {
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/// session under that name is done — rejected while one under the same
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/// name is still running.
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name: String,
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/// Which model the subagent's own session runs. Omit for claude's own
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/// default. The `base:claude-subagents` skill's "cheaper-than-you"
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/// guidance still applies here.
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/// Which model the subagent's own session runs (`--model`). Omit for
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/// claude's own default. The `base:claude-subagents` skill's "Model
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/// choice" guidance still applies here — pick the cheapest model that
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/// can do the job, and don't be stingy about reaching for Haiku on a
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/// well-scoped mechanical batch.
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#[serde(default)]
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model: Option<String>,
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/// Which reasoning effort level the subagent's own session runs at
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@ -55,7 +57,9 @@ struct StartArgs {
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/// models). Independent of `model`, so a cheap model at high effort or
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/// an expensive one at low effort are both valid combinations, not
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/// just the two extremes. See the `base:claude-subagents` skill for
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/// Anthropic's own guidance on choosing between levels.
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/// Anthropic's own guidance on choosing between levels — note that on
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/// Haiku specifically, cost doesn't scale with effort the way it does
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/// on a frontier model, so there's no cost reason to cap it at `medium`.
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#[serde(default)]
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effort: Option<String>,
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/// Path to a file holding the subagent's actual task instructions. A
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