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输入
编辑虚构材料：当前标题“数据爱好者｜努力学习”；目标读者为招聘数据产品实习生的团队；经历：在校园项目中访谈6名社团负责人，整理活动报名字段，做过一个可点击原型；没有上线或增长数据。希望对方联系交流数据产品实习。
输出
编辑示例 · 未运行
标题草稿：数据产品实习求职｜把业务访谈整理成字段与原型
简介草稿：
我在寻找数据产品实习机会，关注如何把业务问题转成清楚的数据定义和页面流程。
在一个校园项目中，我访谈了6名社团负责人，整理活动报名需要的字段，并做成可点击原型。项目还没有上线，因此我展示的是调研与设计过程，不写增长或效率提升数字。
如果你的团队需要协助梳理业务需求、字段口径和原型，欢迎联系我交流。
方法说明
--- name: linkedin-profile description: Use when someone wants their LinkedIn profile audited or rewritten — headline, About section, experience bullets, Featured, banner, recommendations — or says "fix my headline", "my profile gets views but nothing happens", "optimize my LinkedIn profile", "what should my About section say". Scores the headline on five dimensions, audits the whole profile 0-100 and ranks fixes by points per hour, and assembles an About section that survives the "…see more" fold. license: MIT metadata: version: 1.0.0 author: Alireza Rezvani category: marketing updated: 2026-08-25 --- # LinkedIn Profile — audit, then rewrite the parts that pay A profile is not a CV. A CV is read by someone who already decided to consider you; a profile is read by someone deciding whether to. Three readers, in descending volume: the **scanner** (three seconds, from your comment on someone else's post — sees photo and headline only), the **evaluator** (forty seconds — headline, half the About, Featured), the **decider** (minutes — everything). Almost all traffic is the scanner. Almost all conversion is the decider. ## Workflow **1. Audit before rewriting.** Ask them to describe their profile section by section, or have them fill [`assets/profile_worksheet.md`](assets/profile_worksheet.md), then: ```bash python3 scripts/profile_completeness_auditor.py --input profile.json --output human ``` Exit 0 STRONG / 2 INCOMPLETE / 3 WEAK. It ranks every gap by **points per hour** and prints a first-hour plan — usually Featured, Open To, and skills, which cost minutes and recover real points. Start there, not with the About section they wanted to agonise over. **2. Headline next — it is the only string that travels.** It rides along with every comment, search result, and invitation. ```bash python3 scripts/headline_scorer.py --headline "..." --output human ``` Five dimensions at 20 points: audience, outcome, proof, searchability, clarity. Exit 0 SHIP (≥75) / 2 SHARPEN / 3 REWRITE. It also checks the 220-character cap and whether the first ~60 characters — the part that survives in search results and invitation previews — carry anything. Iterate here. Two or three passes is normal; the stop condition is exit 0, or the user saying they would say it out loud to a peer. **3. About section — write to the fold.** LinkedIn collapses it after roughly 265-300 characters. Collect the five parts from the user, then assemble: ```bash python3 scripts/about_section_builder.py --input about.json --output human ``` It refuses a fold that cuts mid-sentence, a fold carrying no audience and no proof, a missing call to action, and anything over 2,600 characters. **4. Experience, Featured, recommendations.** Rewrite duty lists as outcomes. Pin one artifact a stranger could evaluate in sixty seconds. Ask for two specific recommendations by naming the project and offering a first draft. ## Rules - **Never invent a credential, a metric, or a role.** Every number on a profile is checkable by someone. If the proof does not exist, the claim is qualitative or it is absent. - **First person.** A profile in third person reads as a press release someone else wrote. - **The fold is the section.** Whatever sits above "…see more" is what most readers get. - **Front-load the headline.** The strongest segment first; everything after is a bonus. - **Do not fetch anything.** The user describes their own profile; nothing is scraped. ## Scripts | Script | Role | |---|---| | [`scripts/headline_scorer.py`](scripts/headline_scorer.py) | Headline 0-100 on audience / outcome / proof / searchability / clarity, plus the 220-char cap and front-load check. | | [`scripts/profile_completeness_auditor.py`](scripts/profile_completeness_auditor.py) | Whole profile 0-100 across 14 weighted checks; fixes ranked by points per hour with a first-hour plan. | | [`scripts/about_section_builder.py`](scripts/about_section_builder.py) | Assembles the About section from named parts and refuses a broken fold, a missing CTA, or an over-length section. | ## References and assets - [`references/profile_architecture.md`](references/profile_architecture.md) — what each section is for, and the three readers (7 sources) - [`references/headline_and_positioning.md`](references/headline_and_positioning.md) — the 220 characters that follow you everywhere (7 sources) - [`assets/profile_worksheet.md`](assets/profile_worksheet.md) — fillable section-by-section worksheet - [`assets/example_profile.json`](assets/example_profile.json) — input shape for the auditor ## Distinct from - **`linkedin-strategy`** — what to post and how often. This is who you are before you post. If the audience answer is fuzzy, run `positioning_brief.py` there first; the headline falls out of a good brief in ten minutes. - **`product-team/`, `c-level-advisor/`** — career and role strategy. This writes the profile, not the career plan. --- **Version:** 1.0.0