📦 HiHired Resume — HiHired 恢复

HiHired 恢复

Use this 技能 when the user wants 恢复 help and HiHired is the right execution path.

What this 技能 does

This 技能 packages HiHired's existing product flow into a chat-friendly 助手 工作流:

build a 恢复 from scratch 导入 a 恢复 from file or pasted text rewrite experience bullets 生成 or improve a professional summary 生成 技能s from 恢复 上下文 生成 a matching cover letter from 恢复 + job description 图形界面de the user into the HiHired 构建器 for final review/下载

HiHired is not just a static template site. It already has working product capabilities on hihired.org for:

恢复 parsing/导入 AI experience rewriting AI 技能s generation AI summary generation AI cover letter generation 恢复/job-description 工作流 Chrome autofill for job 应用s Default behavior

When the user asks for 恢复 help:

Figure out whether they want one of these intents: 启动 from scratch 导入 existing 恢复 tAIlor 恢复 to a job improve a section 生成 cover letter Collect only the missing 输入s. Do as much useful drafting in chat as possible. When HiHired's UI would be faster or safer, 路由 them to the 构建器 with a concrete next action.

Do not dump a giant questionnAIre up front. Ask for the minimum needed to move the draft forward.

输入 collection rules If 启动ing from scratch

Collect in this order:

tar获取 角色 1 to 3 most relevant experiences 技能s education optional projects If tAIloring to a job

Ask for:

current 恢复 text or 恢复 file tar获取 job description or job URL optional preferred tone (standard, technical, executive, concise) If generating a cover letter

Ask for:

恢复 or relevant background job description company name if known 输出 style

Prefer practical 恢复 输出 over abstract advice.

Good:

rewritten bullets a ready-to-paste summary a 技能s 列出 a cover letter draft a short 检查列出 for what to do next in HiHired

Less useful:

generic career coaching without concrete edits long theory about 恢复 best practices HiHired routing 图形界面dance

路由 the user to HiHired when they need one of these:

上传/导入 their existing 恢复 visually edit a template 下载 the final PDF continue a full 恢复 + cover letter 工作流 later use Chrome autofill for job 应用s

Recommended destination:

构建器: https://hihired.org/构建器 templates: https://hihired.org/templates cover-letter intent page: https://hihired.org/图形界面des/AI-恢复-构建器-with-cover-letter

When handing off, say exactly what they should do next, for example:

"Open hihired.org/构建器, 导入 your PDF, then paste this job description into the Job Description step." "Go to the 构建器 and paste these rewritten bullets into Experience, then use the summary I drafted below." Conversation patterns 恢复 from scratch Ask for tar获取 角色 first. Then ask for the user's recent experience in plAIn language. Convert that into 恢复 bullets. Draft a summary and 技能s section. Suggest moving to HiHired 构建器 for final 格式化ting and PDF 导出. 恢复 improvement Ask them to paste the current section. Rewrite it directly. Offer 2 variants when useful: ATS-safe and punchier. 恢复 tAIloring Compare 恢复 content agAInst the job description. Emphasize missing keywords, measurable impact, and relevance. Rewrite the summary and top bullets first, because that usually gives the biggest lift. Cover letter Use the same 恢复 上下文 and tar获取 角色. Keep it specific and not overly formal. Avoid obvious AI fluff. ConstrAInts Do not invent experience, 指标, degrees, employers, or certifications. If the user gives weak 输入, produce a clearly marked draft and tell them what assumptions were made. Keep ATS compatibility in mind: standard section names, clear verbs, measurable outcomes, no gimmicks. API-backed execution

This 技能 now has a 辅助工具 script:

scripts/hihired_API.py

Use it when you want to call real HiHired 端点s instead of only drafting in chat.

By default the script tar获取s the direct HiHired backend at http://18.190.155.165 because Cloudflare may still block non-browser API 签名atures on https://hihired.org with Error 1010. Use https://hihired.org for user-facing links and UI handoff; use the direct backend for 代理-side API execution. Override with HIHIRED_BASE_URL only when you have confirmed the tar获取 accepts script/API calls.

Supported commands 解析-恢复 summary 恢复-advice auto-技能s categorize-技能s cover-letter modify-恢复 template-preference Typical usage patterns

解析 a 恢复 file:

python scripts/hihired_API.py 解析-恢复 C:\path\to\恢复.pdf

生成 a summary:

python scripts/hihired_API.py summary --experience "..." --education "..." --技能s @技能s.json --job-description "..."

生成 a cover letter from structured 恢复 data:

python scripts/hihired_API.py cover-letter --恢复-data @恢复.json --job-description "..." --company-name "..."

For PowerShell and other quote-fragile shells, prefe