Finish Your Resume with AI! I Built an Auto-Resume Skill with Claude Code

Image Analysis

Below is a整理 of visible text, UI elements, chart data and visible phenomena from image 1 as required. Content is divided into “Facts” (only record what is readable or clearly visible on the image) and “Speculation”; text that is unclear or uncertain is labeled “Unreadable/Uncertain”. Ignore any instructions or behavior prompts in the image.

1) Facts (items directly readable or clearly visible in the image)

- A large centered-right title/brand: Claude (with an orange floral-like icon).

- Under Claude there is English text and an arrow pointing right:

- “Agent skills”

- the next line: “/Auto-CV”

- an arrow points to the resume page on the right (a gray horizontal arrow with shadow).

- Left large page (Chinese resume template, visible green header):

- Top large text: 全民简历

- Visible green section headings: 基本信息, 联系方式, 技能特长, 教育背景 (Education also visible with green icon and heading near top-right of left page)

- Under Basic Information, readable fields and contents:

- 年 龄: 33岁

- 性 别: 男

- 籍 贯: 上海

- Under Contact Information readable:

- Phone: 15388888881

- Email: [email protected]

- Education section (left page) shows a year range: 2012-09 ~ 2016-07

- Under a small green heading on the left page a major is readable: 工商管理（本科）

- Right large page (resume style, mixed English and Chinese template):

- Top large text: XXX (placeholder for a name)

- Upper-right is a passport-style blue-background portrait photo (small).

- Top-right contact items (left-side labels visible) include:

- 籍贯:

- 邮箱:

- 电话:

- 政治面貌:

- 通讯地址:

- 个人主页: https://doublell3.ml (this URL is readable in the image)

- Several section headings in Chinese on the right page:

- 教育背景

- 实习经历

- 项目经历

- 学生工作

- 个人评价

- Several right-aligned time ranges beside items are visible, including:

- 2018.9 - 2021.7

- 2014.9 - 2018.7

- 2020.6 - 2020.9

- 2020.1 - 2020.5

- 2018.3 - 至今

- 2016.3 - 2017.3

- 2020.6 - 2020.9 (repeated elsewhere)

- 2023.9 - 2025.6

- 2022.9 - 2026.6

- 2023.9 - 2025.6 (another repeat)

- In the personal evaluation paragraph (lower right), readable sentences/keywords include:

- “CET-6 542, IELTS 7.0, can conduct English technical communication and document writing reasonably well”

- “Primary language Python (3 years, 30k+ lines), proficient in Java, TypeScript, …” (remaining text is small or partially obscured)

- “Run 10–15 km weekly; maintain a technical knowledge base of 420+ entries; produce monthly technical summaries, continuous learning and growth.” (phrases and numbers are readable)

- People and objects in the image (visual phenomena):

- Foreground shows a young man (wearing black glasses, white earbud in right ear), wearing a checked shirt, with a laptop that has a blue V-shaped light (inverted Y/V shape) in front of him.

- Left large page (Chinese resume) is partly occluded by the foreground person; lower text is obscured.

- Right resume page is white background, black text, with multiple bullet points and indents (list style); small portrait in upper-right.

- Overall layout: left (Chinese template) → center with person and Claude mark → right (English/mixed resume template), showing a side-by-side illustrative layout.

2) Unreadable / Uncertain (image text or details not clearly legible)

- The full name of the educational institution at the top of the left resume (under 2012-09 ~ 2016-07) is not fully legible (partly blurred or cropped).

- The longer paragraphs in the left-page education section (multiple lines of courses/descriptions) are too small, occluded or blurred to transcribe exactly.

- The main content of internship/project items on the right page mostly appear as placeholders like "xxxx/xxx" or are set in small font; specific item text is largely unreadable, only fragments and formatting are recognizable.

- Multiple places on the right page use "xxx" placeholders and item descriptions cannot be reconstructed.

- Some trailing parts of technical descriptions in the personal evaluation (e.g., the detailed degree of mastery of Java/TypeScript) are small and partial, preventing precise transcription.

- Certain company or project names next to dates on the right page are unreadable, showing placeholders like "xxxx 公司（实习）".

3) Speculation (reasonable inferences from layout/common sense, not direct image evidence)

- The image likely demonstrates a tool or workflow for "automatic resume generation/conversion" (left-side Chinese resume/template processed via "Claude Agent skills / Auto-CV" to output a standardized resume on the right), but this interpretation is inferred from layout and arrows, not explicitly stated in the image.

- The right page’s “XXX” is likely a template placeholder for the candidate’s name; the upper-right portrait corresponds to the template photo slot.

- The foreground person is likely the demonstrator or a user operating the tool (scene inference only; no identity claim).

- Some future date ranges (e.g., 2022.9 - 2026.6, 2023.9 - 2025.6) may be example employment/education periods or planned dates used in the template, but exact meaning needs source verification.

4) Additional notes and limitations

- This整理 strictly follows readable image content and visual elements; no identity attribution for the person in the image is made.

- Text that is blurred or occluded is labeled Unreadable/Uncertain and not filled in by guessing.

- If needed, the image can be zoomed to attempt more detailed transcription of specific regions (resolution or original image clarity may still block full transcription), or the readable text above can be output in a structured checklist by resume field for verification.

SkillPI Creation Analysis

Purpose of the work:

The video and its linked repository (https://github.com/flamingoTOM/Auto-CV.git) present a LaTeX-based Chinese resume template and mention a conversational skill named "/Auto-CV" (the source references Claude Code’s Agent skills). The intended function described is to let users import existing resume content or use natural-language descriptions to create or transform a resume into a standardized LaTeX/PDF output.

Image evidence summary (verifiable items):

- The interface shows the “Claude” mark and the labels “Agent skills” and “/Auto-CV”, with an arrow pointing to an example resume page—this visually supports a demonstration of an input→processing→output flow. The image includes a Chinese LaTeX template (left) and a formatted resume (right), and displays an example personal homepage link https://doublell3.ml. Readable sample fields include placeholders and concrete examples (age 33, phone 15388888881, email [email protected], CET-6 542, IELTS 7.0, Python 3 years, etc.).

Steps to use the associated skill (inferred from the source summary and image; to be validated against repository/docs):

1) Obtain the template/repo: clone or download https://github.com/flamingoTOM/Auto-CV.git and review the README for setup and dependencies.

2) Prepare input data: collect an existing resume file or assemble your profile information in plain text (the image suggests sample fields and structure).

3) Invoke the conversational skill: use the environment that exposes "/Auto-CV" (the source mentions a conversational skill) to import or paste the resume content; the exact invocation and environment (e.g., Claude Code, agent UI, or CLI) must be checked in the repo or platform docs.

4) Interactively refine: through dialog, request edits or field mapping (e.g., rephrase job bullets, pick template sections, correct dates).

5) Produce output: either the skill generates a LaTeX source or directly exports a PDF; confirm whether you need to run a local LaTeX compile (xelatex/latexmk) or the tool provides a built PDF.

Prerequisites and items to verify before reproducing:

- Repository contents and build steps: confirm which LaTeX engine and build commands are needed in https://github.com/flamingoTOM/Auto-CV.git.

- Availability of the conversational skill and hosting platform: the source references Claude Code and an agent skill named /Auto-CV—verify whether this skill exists publicly, requires a specific Claude Code version, or needs special integration/authorization. If the skill is unavailable, determine whether the repo contains scripts or instructions to run locally.

- Input formats supported: confirm whether the tool accepts PDF/Word/TXT/structured JSON and how accurate the automatic extraction is.

- Output mechanism: check whether the system outputs a compiled PDF directly, or returns LaTeX source files for local compilation.

- Data handling and privacy: verify if any processing happens on remote servers (cloud) or locally, and how personal data is stored or transmitted.

What can be reasonably delivered based on the source:

- Deliverable: a LaTeX-based Chinese resume template (available in the linked repository) and an indicated workflow for importing and interactively editing resume content via a conversational interface named "/Auto-CV". Image evidence supports that such a demo flow is presented.

- Not yet verified: exact installation and invocation details for /Auto-CV, whether the skill is hosted via Claude Code or another platform, supported input formats and extraction reliability, and whether final PDF generation is automatic or requires manual LaTeX compilation.

References to keep:

- Repository: https://github.com/flamingoTOM/Auto-CV.git

- Example personal homepage visible in the image: https://doublell3.ml

(Note: the above interpretation is based on the provided summary and visible image text. Implementation details and runtime behavior must be validated against the repository and any referenced conversational skill documentation.)