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Agentic AI Atlas · GAP-PROMPT-011: Output Efficiency Rules
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GAP-PROMPT-011: Output Efficiency Rules overview

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GAP-PROMPT-011: Output Efficiency Rules
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GAP-PROMPT-011: Output Efficiency Rules
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# GAP-PROMPT-011: Output Efficiency Rules | Field | Value | |-------|-------| | Category | prompt-engineering | | Priority | Medium | | Effort | S | | Status | Missing | Last refreshed: 2026-04-25 ## Description Include output efficiency guidelines in orchestration prompts to reduce token consumption from verbose delegated agent output. Long-running orchestrations accumulate context quickly; concise output from each iteration preserves token budget for actual work. ## Current State Iteration prompts generated by `session:iteration-message` do not include output efficiency guidelines. Delegated agents often produce verbose explanations, repeat user instructions, and include unnecessary preamble. This wastes token budget, especially in multi-iteration orchestrations where context accumulates. ## Target State An `outputEfficiency` prompt section injected into iteration prompts and task prompts. Content: lead with action not reasoning, skip filler and preamble, do not restate instructions, focus on decisions needing input / status updates / errors, one sentence over three when possible. Adapted from CC's output efficiency rules. Configurable verbosity level per process definition (verbose for debugging, concise for production). ## Dependencies - [GAP-PROMPT-001](../prompt-engineering/GAP-PROMPT-001.md) -- strata model for section placement - [GAP-PERF-002](../performance/GAP-PERF-002.md) -- session compaction for token management ## Key Files | Component | Path | |-----------|------| | Prompts module | `packages/sdk/src/prompts/` | | Session management | `packages/sdk/src/session/` | | CC prompt phrasing analysis | [`11-prompt-phrasing-analysis.md`](../../11-prompt-phrasing-analysis.md) -- Section 5 (Output Efficiency Rules) has exact CC phrasing | ## Recommendation Phase 2 implementation. Small effort -- extract efficiency rules, inject into iteration prompt template. Measurable impact on token usage in multi-iteration runs.
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