Prompt Budget Preflight

Run this before calling the Agent tool. It takes under 30 seconds and prevents the most common subagent failure mode: rejection with "Prompt is too long".

Why this exists

Subagents inherit a large base context before your prompt is even appended:

• Global ~/.claude/CLAUDE.md
• Project .claude/CLAUDE.md chain (including any rules files referenced via @)
• Any auto-loaded plugin CLAUDE.md in the subagent's cwd
• MEMORY.md and auto-memory entries
• System prompts for the selected subagent_type
• Tool definitions for tools the subagent can see

In our own telemetry from one 9-spawn session:

Spawn type	Prompt size	Result
Explore × 2 (generic)	~900 words each	Both rejected — "Prompt is too long", 0 tokens used, 2.3-2.7s round-trip
Named specialists × 7 (architecture / perf / security / dx / ux / researcher / code-reviewer)	~200-400 words each	All 7 succeeded

Reject rate: 22%. Every rejection is a wasted ~3 seconds and a wasted decision cycle.

The 5-section minimum-viable prompt

Target ~300 words total. If you exceed 800 words you almost certainly have dead weight.

1. TARGET
   - Absolute file paths or directory scope
   - Clear in/out-of-scope boundaries

2. TASK
   - One sentence: what to produce
   - Read-only vs write explicitly stated

3. FORMAT
   - Output shape (YAML, table, bullets)
   - Word ceiling or row cap
   - Any required fields / schema

4. CONSTRAINTS
   - What NOT to do
   - Paths / patterns / subdirectories to avoid
   - Word-limit enforcement hint

5. RULES (optional, only when applicable)
   - Plugin-specific guardrails
   - "Do not follow interview-first workflow — this is an audit"
   - "Do not write files — this is analysis only"

Preflight checklist

Before each Agent call, answer:

1. Subagent type: am I using a named specialist that already has the relevant system prompt, or a generic (Explore, general-purpose)? Prefer specialists — see skills/agentic-patterns/SKILL.md Part 4.
2. Prompt length: is my prompt under 500 words? If over 800, trim.
3. Enumeration test: am I re-listing facts the agent can grep? If yes, drop them — say "grep for X" instead of pasting X.
4. Context inheritance: will the agent spawn inside a directory whose CLAUDE.md is large (>4KB) and unrelated to the task? If yes, include a RULES line telling it to ignore that file's workflow prescriptions.
5. Output ceiling: did I specify a word ceiling and/or row cap? If no, add one.

Failure-mode playbook

If agent rejects with…	Do this
"Prompt is too long"	Cut enumerated facts; swap generic subagent for a named specialist; add RULES line telling it to skip directory CLAUDE.md workflows
Empty or stub output	Prompt was too vague — add concrete file:line references and one worked example of the output shape
Off-topic ramble	Missing CONSTRAINTS section — add explicit "do NOT explore X / Y / Z"
Timeout (>5min on simple task)	Missing word ceiling + missing scope boundary — add both

Template — copy-paste to start

You are analyzing <SCOPE>.

TARGET: <absolute paths>
TASK: <one sentence; read-only or write>
FORMAT:
  <schema / shape>
  Keep under <N> words.
CONSTRAINTS:
  - Do not <X>
  - Do not explore <Y>
RULES (if applicable):
  - Ignore the <plugin-name> CLAUDE.md's interview-first workflow;
    this is an audit, not a setup run.

When to skip the preflight

• Prompt is under 2 paragraphs AND the subagent type matches a named specialist.
• The task is so scoped a wrong output won't cost a retry (e.g., "find all files matching X").

Everything else: run the 5-question checklist above. It's cheaper than a rejected spawn.