{
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  "item": {
    "slug": "interview-designer",
    "name": "Interview Designer",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/mikonos/interview-designer",
    "canonicalUrl": "https://clawhub.ai/mikonos/interview-designer",
    "targetPlatform": "OpenClaw"
  },
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    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "references/design_rationale.md",
      "templates/interview_guide_template.md"
    ],
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      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
      ]
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      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
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        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/interview-designer"
    },
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        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/interview-designer",
    "agentPageUrl": "https://openagent3.xyz/skills/interview-designer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/interview-designer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/interview-designer/agent.md"
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  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Interview Designer Skill",
        "body": "Core Mission: Elevate interview planning from \"glancing at resume and asking questions\" to \"evidence-based investigation and projection.\"\nOperating Mechanism: Define Scorecard (set standards) → Forensic Scan (evidence gathering) → Future Simulation (performance prediction).\nPrompt Strategy: This skill uses <Chain of Thought>. When executing, maintain an \"Objective Evaluator\" perspective, seeking both Red Flags and Green Signals."
      },
      {
        "title": "1. Dynamic War Room (Expert Panel)",
        "body": "Dynamically summon the most matching best minds into the war room based on candidate's role attributes:\n\nGeoff Smart (Who): Responsible for Define & Verify.\n\nPrinciple: Scorecard First. Before looking at any resume, clarify what the standard for an \"A Player\" is.\n\n\nLou Adler (Performance-based): Responsible for Predict.\n\nPrinciple: Past performance predicts future performance only if the context is similar. Must design simulations for future scenarios.\n\n\nDaniel Kahneman (Bias Control): Responsible for De-bias.\n\nPrinciple: Beware of \"confirmation bias.\" If concerns are found, also seek counter-evidence; if highlights are found, verify their replicability.\n\n\nDomain Expert: Responsible for Depth."
      },
      {
        "title": "Step 1: Scorecard Definition - Smart's Priority",
        "body": "Don't look at the resume first! Based on JD or role requirements, define A Player standards for this position:\n\nMission: One sentence - why does this role exist?\nOutcomes: 3-5 specific, measurable results that must be achieved within 12 months.\nCompetencies: Hard/soft skills required to achieve the above outcomes."
      },
      {
        "title": "Step 2: Forensic Resume Scan - Smart's Forensic",
        "body": "Use Step 1 standards to scan the resume, looking for Gaps (discrepancies) and High Points (highlights):\n\nThe \"Too Good To Be True\" Heuristic: Logical gaps behind perfect data.\nThe \"Passenger vs Driver\" Heuristic: Individual's true contributions under big company halo.\nThe \"First Principles\" Heuristic: Principle understanding behind technical jargon."
      },
      {
        "title": "Step 3: Pressure Test & Future Simulation - Adler's Prediction",
        "body": "Design two types of questions:\n\nPressure Test Scripts (for past): Design Forensic STAR follow-ups targeting Step 2 concerns (originally \"torpedo questions,\" but more objective).\nFuture Simulation (for future): Design a specific Performance Problem.\n\nExample: \"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?\""
      },
      {
        "title": "3. Question Design Principles",
        "body": "Cannot Be Memorized: Forces candidates to think on the spot (Simulation) or recall painful memories (Pressure Test).\nForced Trade-offs: Choose between two \"correct\" options to test values.\nDetail Granularity: Must be able to probe down to \"what diagram did you draw\" or \"what exact words did you say.\""
      },
      {
        "title": "4. Output Format",
        "body": "Directly call templates/interview_guide_template.md to generate the report.\nNote: When generating the guide, include both [Red Flags] (concerns) and [Green Signals] (highlight verification) to maintain objectivity in assessment."
      }
    ],
    "body": "Interview Designer Skill\n\nCore 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.\n\n1. Dynamic War Room (Expert Panel)\n\nDynamically summon the most matching best minds into the war room based on candidate's role attributes:\n\nGeoff Smart (Who): Responsible for Define & Verify.\nPrinciple: Scorecard First. Before looking at any resume, clarify what the standard for an \"A Player\" is.\nLou Adler (Performance-based): Responsible for Predict.\nPrinciple: Past performance predicts future performance only if the context is similar. Must design simulations for future scenarios.\nDaniel Kahneman (Bias Control): Responsible for De-bias.\nPrinciple: Beware of \"confirmation bias.\" If concerns are found, also seek counter-evidence; if highlights are found, verify their replicability.\nDomain Expert: Responsible for Depth.\n2. Core Execution Workflow\nStep 1: Scorecard Definition - Smart's Priority\n\nDon't look at the resume first! Based on JD or role requirements, define A Player standards for this position:\n\nMission: One sentence - why does this role exist?\nOutcomes: 3-5 specific, measurable results that must be achieved within 12 months.\nCompetencies: Hard/soft skills required to achieve the above outcomes.\nStep 2: Forensic Resume Scan - Smart's Forensic\n\nUse Step 1 standards to scan the resume, looking for Gaps (discrepancies) and High Points (highlights):\n\nThe \"Too Good To Be True\" Heuristic: Logical gaps behind perfect data.\nThe \"Passenger vs Driver\" Heuristic: Individual's true contributions under big company halo.\nThe \"First Principles\" Heuristic: Principle understanding behind technical jargon.\nStep 3: Pressure Test & Future Simulation - Adler's Prediction\n\nDesign two types of questions:\n\nPressure Test Scripts (for past): Design Forensic STAR follow-ups targeting Step 2 concerns (originally \"torpedo questions,\" but more objective).\nFuture Simulation (for future): Design a specific Performance Problem.\nExample: \"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?\"\n3. Question Design Principles\nCannot Be Memorized: Forces candidates to think on the spot (Simulation) or recall painful memories (Pressure Test).\nForced Trade-offs: Choose between two \"correct\" options to test values.\nDetail Granularity: Must be able to probe down to \"what diagram did you draw\" or \"what exact words did you say.\"\n4. Output Format\n\nDirectly 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."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/mikonos/interview-designer",
    "publisherUrl": "https://clawhub.ai/mikonos/interview-designer",
    "owner": "mikonos",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/interview-designer",
    "downloadUrl": "https://openagent3.xyz/downloads/interview-designer",
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}