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ost-target-selection

Select one target opportunity from an OST using evidence-based weighted scoring and tie-breakers.

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包含的文件(2)

  • SKILL.md1.3 KB
  • agents/openai.yaml181 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

OST Target Selection

Choose exactly one opportunity to pursue next.

Instructions

Step 1: Harvest candidates from OST

  • Include leaves and relevant parents with strong evidence.
  • Merge duplicates and reframe solution language into need language.

Step 2: Score candidates

  • Score 1-5 for OS, MF, CF, CuF.
  • Use default weights unless custom weights are provided.
  • Compute weighted priority score (WPS).

Step 3: Build shortlist

  • Select top 3-5 by WPS.
  • Apply tie-breakers: distinctness, evidence quality, time-to-learning, risk diversification.

Step 4: Recommend one target

  • Pick one small, distinct, moment-scoped opportunity.
  • Exclude engineering effort prioritization.

Step 5: Audit alignment

  • Confirm no-effort-policy and moment distinctness.
  • List evidence gaps and follow-up needs.

Output

  • Candidate inventory
  • Scoring matrix with WPS
  • Top 3-5 shortlist
  • Single recommendation with rationale
  • Audit notes

When to Use

Use this skill when the task directly matches the workflow described above.

When Not to Use

Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.

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