claude-plugins: add claude-subagents skill

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damocles 2026-07-27 16:04:19 +02:00
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---
name: claude-subagents
description: Spin up a short-lived headless `claude` sub-instance to grind through a well-scoped, mechanical batch (bulk relabeling, a repetitive find/replace, a mechanical migration) instead of burning your own context on it inline. Use this when a task has a clear, describable recipe and is either big enough to eat your context or long enough that you'd rather not babysit it. Not for judgement-heavy work, anything needing operator back-and-forth, or a task whose blast radius you can't bound up front.
---
# Ephemeral Sub-Agents via the Claude CLI
`claude` is on `PATH` in your container, and a sub-instance you spawn
inherits the same filesystem and credentials you have. This is a
first-class tool for offloading a bounded, mechanical batch - not a hack.
## When to use it
- **Yes:** mechanical batches with a clear recipe (relabel N issues,
rewrite a call-site pattern, migrate a config field), especially when
the batch would eat your context or take long enough that you'd
rather not babysit it turn-by-turn.
- **No:** judgement-heavy work, anything needing back-and-forth with a
human, or a task whose blast radius you can't bound up front.
## The spawn command
Put the task recipe in a file and pass it as a path, with a short `-p`
trigger:
```bash
claude --name <memorable> --model <cheaper-than-you> --dangerously-skip-permissions \
--append-system-prompt-file task-prompt.md \
-p "Carry out the task described in your instructions."
```
- **`--name <memorable>`** - names the session so you can `--resume` it
by name for follow-ups.
- **`--model <cheaper-than-you>`** - think about which model the task
actually needs; don't spend a bigger model's tokens than your own on
mechanical work a cheaper one handles fine. Never use a *bigger* model
than yourself for a sub-agent - if the task needs that much capability,
it's not the "mechanical batch" case this skill is for.
- **`--dangerously-skip-permissions`** - required in headless (`-p`)
mode. Without it, tool calls that would normally prompt for approval
are auto-**denied** non-interactively, so the sub-agent silently does
nothing. Acceptable here because the sub-instance runs inside your
already-sandboxed environment, with your already-scoped credentials,
on a bounded task - don't reach for it when the task could touch
things outside its intended blast radius.
- **`--append-system-prompt-file <path>`** - read the recipe from a
file rather than inlining it in `-p` (which is bounded by `ARG_MAX` -
a long recipe passed as `-p "$(cat …)"` can blow past it and the exec
fails). Keeps Claude Code's default scaffolding and adds your recipe
on top.
- **`-p "<trigger>"`** - headless print mode. Keep this short: just
tell the sub-agent to act on its file-supplied instructions.
## Run it in the background, don't babysit
Wrap the launch in a background bash task and end your turn - your
bash-task runner already captures stdout/stderr and hands you a
completion pointer, and ending the turn keeps you reachable for other
work while the sub-agent grinds.
## Prompt hygiene - this is where batches succeed or fail
- **Concrete constants, not "figure it out":** exact ids, field names,
option values, endpoints.
- **Critical ordering rules, spelled out** - the sub-agent won't infer
invariants you don't state.
- **Explicit scope + exemptions**, plus a fallback rule for ambiguous
cases: "leave it as-is where genuinely unclear; do not guess."
- **Ask for a report file** - per-item results + anything skipped and
why, so you can verify without re-deriving.
- **Tune on ONE item first**, eyeball the result, fix the prompt, *then*
turn it loose on the full batch. A prompt bug replicated across 100
items is 100 cleanups.
## Resume for follow-ups
`claude --resume <name> -p "Now run the same procedure over the second batch."`
reuses the same session, so the sub-agent keeps every constant and
gotcha it already discovered instead of re-learning the surface from a
cold prompt. Spawn a new `--name` only for a genuinely unrelated task.
## Verify, then report
On completion: read the report file, spot-check a handful of results
yourself (don't trust the self-report blind), then summarize. Surface
anything the sub-agent left ambiguous or exempted for a human call.
## Pitfalls (all observed in practice)
- No `--dangerously-skip-permissions` → headless tool calls denied, the
sub-agent burns a run doing nothing.
- Using a model bigger than yourself → paying premium cost for
mechanical work that didn't need it.
- Skipping the one-item tuning pass → a systematic mistake smeared
across the whole batch.
- Spawning fresh instead of `--resume` for a follow-up → throws away
all the context the first pass earned.
- Baking an unverified assumption into the recipe - if a quick check
suggests something "isn't possible" or "doesn't exist," confirm it
before writing that conclusion into the prompt; a wrong assumption
gets replicated across the whole batch.