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resume-customizer-gamma-topaz.vercel.app

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Paste a job description, upload your resume, and get an AI-tailored, ATS-friendly version in seconds.
Explore capabilities
    tailor_resumeAction

    Tailor the user's resume to a job description on this page (never invents experience). Uses resume_text if given, otherwise the resume already uploaded on the page. Shows the result to the user and returns it with keyword-match/ATS scores and honest gap suggestions.

    View tool JSON
    {
      "name": "tailor_resume",
      "kind": "act",
      "impl": "imperative",
      "description": "Tailor the user's resume to a job description on this page (never invents experience). Uses resume_text if given, otherwise the resume already uploaded on the page. Shows the result to the user and returns it with keyword-match/ATS scores and honest gap suggestions.",
      "inputSchema": {
        "type": "object",
        "properties": {
          "job_description": {
            "type": "string",
            "description": "Full job posting text (min 100 characters)"
          },
          "resume_text": {
            "type": "string",
            "description": "Resume as plain text (optional if one is uploaded)"
          },
          "page_target": {
            "type": "string",
            "enum": [
              "one",
              "two",
              "auto"
            ],
            "description": "Resume length"
          },
          "intensity": {
            "type": "string",
            "enum": [
              "conservative",
              "balanced",
              "bold"
            ]
          }
        },
        "required": [
          "job_description"
        ]
      }
    }
    get_tailored_resumeAnswer

    Return the tailored resume currently shown on the page, with its scores and gaps.

    View tool JSON
    {
      "name": "get_tailored_resume",
      "kind": "answer",
      "impl": "imperative",
      "description": "Return the tailored resume currently shown on the page, with its scores and gaps.",
      "inputSchema": {
        "type": "object",
        "properties": {}
      }
    }