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デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/TuYv/ccpm --skill prompt-optimizationコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Use when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes and a SHIP/FIX/BLOCK/UNDECIDED gate on own exported data. Not for campaign structure design — use campaign-architect; not for creative production — use ad-creative-builder. 付费广告账户审计/ROAS评分
Use when the user asks to "write ad copy", "generate RSA headlines", or "build ad creative at volume"; produces ad units — RSA headlines/descriptions, hooks, and an angle matrix — message-matched to the destination landing page. Not for scoring an ad account — use ad-account-auditor; not for the post-click page — use landing-optimizer; not for organic articles — use content-writer. 广告创意/广告文案/RSA标题
Use when the user asks to "design an A/B test", "set up a creative/landing test", "run an incrementality test", or "is this result statistically and practically material?"; produces a hypothesis, variant matrix, sample-size/duration/power plan, and a documented effect/uncertainty read from own exported results. It applies only a precommitted owner-approved action rule; the statistical helper never chooses a business action. Not for producing variants — use ad-creative-builder; not for reading back one shipped change — use paid-measurement-loop. 广告AB测试设计/实验设计/显著性判定/增效测试
SOC 職業分類に基づく
SKILL.md を表示中
| 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/
├── accuracy-improvement.json
└── cost-benefit.json
See references/prompt-repetition.md for full documentation.
Version: 1.0.0