據 AlphaMoat 統計,截至 2026-10,Interview Designer 累計下載 6,180 次、獲 6 個星標,按累計下載量在本次參與排名的 5,109 個 AI 技能中排名第 2,190 位,在「商業營運」分類(303 個)中排名第 127 位。
列表預設按累計下載量排序,也可按星標排序;詳情頁排名按累計下載量計算。
| 平台 | 累計下載 | 星標 | 評論 |
|---|---|---|---|
| ClawHub ↗ | 3466 | 4 | - |
| SkillHub ↗ | 6180 | 6 | — |
各平台的計數口徑不同,統計時間不一致。
運用循證方法論分析簡歷並設計面試策略,將面試準備從“看簡歷→提問”升級為“定標準→找證據→模擬未來”。融合Topgrading、績效導向招聘及偏見控制理論。適用於面試準備、制定結構化面試指南或設計勝任力驗證問題。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-10 | 6180 | — | 6 |
| 2026-09 | 4655 | — | 6 |
| 2026-08 | 3786 | +13.6% | 6 |
| 2026-07 | 3333 | +17.3% | 6 |
| 2026-06 | 2842 | +8.8% | 5 |
| 2026-05 | 2611 | — | 5 |
| 2026-03 | 1977 | — | 3 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- name: interview-designer description: Analyze resumes and design interview strategies using evidence-based methodology. Transforms interview prep from "read resume → ask questions" into "define standard → forensic evidence → future simulation". Combines Geoff Smart's Topgrading, Lou Adler's performance-based hiring, and Daniel Kahneman's bias control. Use when preparing for interviews, creating structured interview guides, or designing questions to validate candidate competencies. --- # Interview Designer Skill > **Core Mission**: Elevate interview planning from "glancing at resume and asking questions" to "evidence-based investigation and projection." > **Operating Mechanism**: Define Scorecard (set standards) → Forensic Scan (evidence gathering) → Future Simulation (performance prediction). > **Prompt Strategy**: This skill uses \<Chain of Thought\>. When executing, maintain an "Objective Evaluator" perspective, seeking both Red Flags and Green Signals.
## 1. Dynamic War Room (Expert Panel)
Dynamically summon the most matching **best minds** into the war room based on **candidate's role attributes**:
* **Geoff Smart (Who)**: Responsible for **Define & Verify**.
* *Principle*: Scorecard First. Before looking at any resume, clarify what the standard for an "A Player" is.
* **Lou Adler (Performance-based)**: Responsible for **Predict**.
* *Principle*: Past performance predicts future performance *only if* the context is similar. Must design simulations for future scenarios.
* **Daniel Kahneman (Bias Control)**: Responsible for **De-bias**.
* *Principle*: Beware of "confirmation bias." If concerns are found, also seek counter-evidence; if highlights are found, verify their replicability.
* **Domain Expert**: Responsible for **Depth**.
## 2. Core Execution Workflow
### Step 1: Scorecard Definition - *Smart's Priority*
**Don't look at the resume first!** Based on JD or role requirements, define A Player standards for this position:
* **Mission**: One sentence - why does this role exist?
* **Outcomes**: 3-5 specific, measurable results that must be achieved within 12 months.
* **Competencies**: Hard/soft skills required to achieve the above outcomes.
### Step 2: Forensic Resume Scan - *Smart's Forensic*
Use Step 1 standards to scan the resume, looking for **Gaps (discrepancies)** and **High Points (highlights)**:
* **The "Too Good To Be True" Heuristic**: Logical gaps behind perfect data.
* **The "Passenger vs Driver" Heuristic**: Individual's true contributions under big company halo.
* **The "First Principles" Heuristic**: Principle understanding behind technical jargon.
### Step 3: Pressure Test & Future Simulation - *Adler's Prediction*
Design two types of questions:
1. **Pressure Test Scripts (for past)**: Design Forensic STAR follow-ups targeting Step 2 concerns (originally "torpedo questions," but more objective).
2. **Future Simulation (for future)**: Design a specific Performance Problem.
* *Example*: "We're entering this new market next year, and the biggest obstacle is X. If you join, how would you analyze this problem in your first week?"
## 3. Question Design Principles
1. **Cannot Be Memorized**: Forces candidates to think on the spot (Simulation) or recall painful memories (Pressure Test).
2. **Forced Trade-offs**: Choose between two "correct" options to test values.
3. **Detail Granularity**: Must be able to probe down to "what diagram did you draw" or "what exact words did you say."
## 4. Output Format
Directly call `templates/interview_guide_template.md` to generate the report.
**Note**: When generating the guide, include both **[Red Flags] (concerns)** and **[Green Signals] (highlight verification)** to maintain objectivity in assessment.
知了標訊:查詢和分析招標、中標、供應商與採購市場資訊。
透過知了標訊介面查詢和分析招投標相關資訊。
為 AI agent 提供電話號碼並代辦電話事務的技能。
產品經理工作臺:從需求分析到 PRD 與迭代規劃。
按資料分析篩電商爆款,覆蓋多個平台的品類。
透過 Trello REST API 管理看板、列表與卡片。
提供市場趨勢、競品與使用者行為分析的市場分析服務。
面向日曆管理與會議排期的技能。
資料月份:2026-10 · 下載/星標數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。