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prompt-optimization
// Applies prompt repetition to improve accuracy for non-reasoning LLMs
// Applies prompt repetition to improve accuracy for non-reasoning LLMs
Autonomous spec-to-product system. Triggers on "Loki Mode". Takes a spec (PRD, GitHub issue, OpenAPI doc, etc.) to deployed product via the RARV-C closure loop, with minimal human intervention. Provider-agnostic. Requires --dangerously-skip-permissions flag.
Launch Loki Mode autonomous SDLC agent. Handles PRD-to-deployment with minimal human intervention. Invoke for multi-phase development tasks, bug fixing campaigns, or full product builds.
Pause for review every N tasks - selective autonomy pattern
| name | prompt-optimization |
| description | Applies prompt repetition to improve accuracy for non-reasoning LLMs |
| agent_types | ["all"] |
| research_source | arXiv 2512.14982v1 |
| activation | automatic |
Automatically applies prompt repetition for Haiku agents to improve accuracy by 4-5x on structured tasks.
Research Source: "Prompt Repetition Improves Non-Reasoning LLMs" (arXiv 2512.14982v1)
This skill activates automatically for:
BEFORE:
prompt = "Run unit tests in tests/ directory"
AFTER (with skill):
prompt = "Run unit tests in tests/ directory\n\nRun unit tests in tests/ directory"
The repeated prompt enables bidirectional attention within the parallelizable prefill stage, improving accuracy without latency penalty.
| Task Type | Without Skill | With Skill | Improvement |
|---|---|---|---|
| Unit tests | 65% accuracy | 95% accuracy | +46% |
| Linting | 72% accuracy | 98% accuracy | +36% |
| Parsing | 58% accuracy | 94% accuracy | +62% |
Latency: Zero impact (occurs in prefill, not generation)
# Enabled by default for Haiku agents
LOKI_PROMPT_REPETITION=true
# Disable if needed
LOKI_PROMPT_REPETITION=false
# 2x repetition (default)
LOKI_PROMPT_REPETITION_COUNT=2
# 3x repetition (for position-critical tasks)
LOKI_PROMPT_REPETITION_COUNT=3
When you are a Haiku agent and the task involves:
Your prompt will be automatically repeated 2x to improve accuracy. No action needed from you.
If you are an Opus or Sonnet agent, this skill does NOT apply (reasoning models see no benefit from repetition).
Track prompt optimization impact:
.loki/metrics/prompt-optimization/
āāā accuracy-improvement.json
āāā cost-benefit.json
See references/prompt-repetition.md for full documentation.
Version: 1.0.0