Agent skill

Resume Backend Project Optimizer

by LAIJiangFeng in LAIJiangFeng/resume-builder

将中文后端项目经历改写为高质量、可面试追问、强数据化的简历要点。适用于用户提供“项目经历/主要工作/职责描述”后,要求按统一模板输出“负责xxx功能 + 关键技术细节组合 + 解决问题 + 数据化结果”的场景;适用于 Java 后端求职、简历优化、面试前项目复盘,且需要对齐面试高频考点(Java 集合与并发、MySQL、Redis、Spring、消息队列、系统设计等)时使用。

No licenceAuto-check passedDatabases

Install Resume Backend Project Optimizer

skills CLI
$ npx skills add LAIJiangFeng/resume-builder --skill resume-backend-project-optimizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LAIJiangFeng/resume-builder resume-backend-project-optimizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LAIJiangFeng/resume-builder.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/resume-backend-project-optimizer .claude/skills/resume-backend-project-optimizer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
resume-backend-project-optimizer
GitHub stars
248
Token cost
~868 tokens
SKILL.md length
196 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
None found

At a glance

将中文后端项目经历改写为高质量、可面试追问、强数据化的简历要点。适用于用户提供“项目经历/主要工作/职责描述”后,要求按统一模板输出“负责xxx功能 + 关键技术细节组合 + 解决问题 + 数据化结果”的场景;适用于 Java 后端求职、简历优化、面试前项目复盘,且需要对齐面试高频考点(Java 集合与并发、MySQL、Redis、Spring、消息队列、系统设计等)时使用。

  • Works in 7 steps: 严格输出目标 → 硬性约束 → 改写流程 → …
  • Databases work in your project
  • SKILL.md covers 1) 严格输出目标, 2) 硬性约束, 3) 改写流程 and 4) 技术细节组合范式(优先复用), plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Resume Backend Project Optimizer is an agent skill from LAIJiangFeng/resume-builder. 将中文后端项目经历改写为高质量、可面试追问、强数据化的简历要点。适用于用户提供“项目经历/主要工作/职责描述”后,要求按统一模板输出“负责xxx功能 + 关键技术细节组合 + 解决问题 + 数据化结果”的场景;适用于 Java 后端求职、简历优化、面试前项目复盘,且需要对齐面试高频考点(Java 集合与并发、MySQL、Redis、Spring、消息队列、系统设计等)时使用。

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases. It works with Java, MySQL, Redis and Lua.

When your agent uses it

  • Databases work in your project

Example prompts

  • “项目经历/主要工作/职责描述”
  • “负责xxx功能 + 关键技术细节组合 + 解决问题 + 数据化结果”
  • “/resume-backend-project-optimizer”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. 严格输出目标
  2. 硬性约束
  3. 改写流程
  4. 技术细节组合范式(优先复用)
  5. 输出格式
  6. 输入信息不完整时的处理
  7. 快速示例

What it can do on your machine

Read from SKILL.md and the folder at commit 1301cfc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Resume Backend Project Optimizer loads about 868 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 196 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~868

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 196 words (~868 tokens).

name
resume-backend-project-optimizer

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .codex/skills/resume-backend-project-optimizer of LAIJiangFeng/resume-builder.

Open the folder on GitHubat commit 1301cfc

Compare with similar skills

Resume Backend Project Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Resume Backend Project Optimizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Resume Backend Project Optimizer this skillLAIJiangFeng/resume-builder248—~868Automated safety check: PassNone
Java Backend InterviewerSnailclimb/interview-guide3.3k—~132Automated safety check: PassAGPL-3.0
Create Implementation Plan For Redis API Changeredis/jedis12k—~6.2kAutomated safety check: NotesMIT
Create Implementation Plan For Redis API Changeredis/lettuce5.8k—~5.6kAutomated safety check: PassMIT
Email Blastantiwork/gumroad9.8k—~1.4kAutomated safety check: PassMIT
Extend Commands APIredis/lettuce5.8k—~7.7kAutomated safety check: NotesMIT

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Categories

Questions about Resume Backend Project Optimizer

What does Resume Backend Project Optimizer do?

将中文后端项目经历改写为高质量、可面试追问、强数据化的简历要点。适用于用户提供“项目经历/主要工作/职责描述”后,要求按统一模板输出“负责xxx功能 + 关键技术细节组合 + 解决问题 + 数据化结果”的场景;适用于 Java 后端求职、简历优化、面试前项目复盘,且需要对齐面试高频考点(Java 集合与并发、MySQL、Redis、Spring、消息队列、系统设计等)时使用。. Resume Backend Project Optimizer is an agent skill from LAIJiangFeng/resume-builder.

When should I use Resume Backend Project Optimizer?

Resume Backend Project Optimizer fits situations like: databases work in your project.

How do I install Resume Backend Project Optimizer in Claude Code?

Run `npx skills add LAIJiangFeng/resume-builder --skill resume-backend-project-optimizer -a claude-code`. Or copy the skill folder (.codex/skills/resume-backend-project-optimizer in LAIJiangFeng/resume-builder) into .claude/skills/resume-backend-project-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install Resume Backend Project Optimizer in Codex?

Run `npx skills add LAIJiangFeng/resume-builder --skill resume-backend-project-optimizer -a codex`. Or copy the skill folder (.codex/skills/resume-backend-project-optimizer in LAIJiangFeng/resume-builder) into .agents/skills/resume-backend-project-optimizer in your project. Codex loads it when a task matches its description.

Can I use Resume Backend Project Optimizer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LAIJiangFeng/resume-builder --skill resume-backend-project-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resume-backend-project-optimizer, .gemini/skills/resume-backend-project-optimizer, .github/skills/resume-backend-project-optimizer and .opencode/skills/resume-backend-project-optimizer in your project.

What does Resume Backend Project Optimizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Resume Backend Project Optimizer is instructions for the agent only.

Does Resume Backend Project Optimizer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Resume Backend Project Optimizer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Resume Backend Project Optimizer use?

No licence was found for Resume Backend Project Optimizer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Resume Backend Project Optimizer use?

About 868 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Resume Backend Project Optimizer?

Skills that share tags, products or a category with Resume Backend Project Optimizer: Java Backend Interviewer (Snailclimb/interview-guide, 3.3k stars), Create Implementation Plan For Redis API Change (redis/jedis, 12k stars), Create Implementation Plan For Redis API Change (redis/lettuce, 5.8k stars) and Email Blast (antiwork/gumroad, 9.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Resume Backend Project Optimizer?

LAIJiangFeng (a GitHub user) maintains it in LAIJiangFeng/resume-builder, which has 248 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on August 29, 2026.

Source: LAIJiangFeng/resume-builder on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.