resume-experience-template

resume-experience-template is a skill for Codex from KaichenCurry/TabNexus. It costs 147 tokens per session (1,892 once invoked), scanned A, original, MIT.

A Chinese résumé-writing guide that turns informal, scattered work, internship, and project details into concise, truthful experience entries. It structures each entry around the problem, the approach, and the result.

In plain words
What is it for?
Use it to create or rewrite résumé bullets, organise projects, tailor a résumé to a job description, build templates, and review structure, evidence, measurable results, and interview readiness.
Why use it?
It helps avoid vague claims, lists of tools, inflated numbers, and unclear personal contributions. It also helps match existing evidence to a target job description without inventing facts.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to create or rewrite résumé bullets, organise projects, tailor a résumé to a job description, build templates, and review structure, evidence, measurable results, and interview readiness.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kaichencurry/tabnexus/resume-experience-template
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add KaichenCurry/TabNexus --skill resume-experience-template
Clone the repo
git clone --depth 1 https://github.com/KaichenCurry/TabNexus

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for resume-experience-template

README.md
[![agentmods](https://agentmods.dev/badge/skills/kaichencurry/tabnexus/resume-experience-template/github.svg)](https://agentmods.dev/skills/kaichencurry/tabnexus/resume-experience-template)
Your own site
<a href="https://agentmods.dev/skills/kaichencurry/tabnexus/resume-experience-template"><img src="https://agentmods.dev/badge/skills/kaichencurry/tabnexus/resume-experience-template/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for resume-experience-template

Your own site · 80×15
<a href="https://agentmods.dev/skills/kaichencurry/tabnexus/resume-experience-template"><img src="https://agentmods.dev/badge/skills/kaichencurry/tabnexus/resume-experience-template.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,892 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00147 $0.01892
Opus 5 $0.00073 $0.00946
Sonnet 5 $0.00029 $0.00378
Haiku 4.5 $0.00015 $0.00189

Measured 9d ago against content hash 20f043bf9bc3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

resume-experience-template scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

exports/resume-experience-template-portable/codex/resume-experience-template/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

简历经历模板

目标

将每条经历写成一条可验证的价值证明:说明解决了什么问题、如何解决、产生了什么结果。优先保证真实可解释,再追求竞争力;让面试官能快速识别候选人的专业能力、业务判断和商业价值。

选择任务模式

先判断用户需要哪种结果,可组合执行:

  1. 从零生成:把口述、流水账或材料整理成简历经历。
  2. 改写优化:重写已有经历,压缩冗余并补齐逻辑。
  3. JD 定向:提取目标岗位的核心能力,以已有证据重新排序和措辞。
  4. 项目整理:输出项目名称、项目定位和 3–5 条简历描述。
  5. 简历审阅:检查结构、事实、表达、量化、商业价值和可面试性。
  6. 模板搭建:生成整份简历或单段经历的可填写模板。

需要完整规则时读取 evidence-and-writing-rules.md。需要收集信息或输出成稿时读取 templates.md

核心工作流

1. 建立事实底稿

从用户材料中提取:

  • 公司/组织、部门、岗位、时间、地点;
  • 业务背景、目标、问题或约束;
  • 用户本人承担的角色、动作和责任边界;
  • 使用的方法、工具及实际使用程度;
  • 交付物、采用情况、决策影响和商业结果;
  • 规模、基线、对标、前后变化、时间周期;
  • 目标岗位/JD 及能够对应的事实证据。

将信息区分为“用户明确确认”“合理但未确认”“缺失”。只把已确认事实写进可直接使用版。不要把团队成果自动归为个人成果,不要把参与升级为主导,不要补造工具、产品能力、数据、对标或商业影响。

若材料只剩岗位名称而无法写出任何真实动作,先提出最多 3 个高价值问题。其余信息不足场景直接给出保守成稿,并在成稿后单列待补充证据,不要用臆测阻塞任务。

2. 确定定位与取舍

根据目标岗位和证据选择低重合的能力模块,而不是按每日事项罗列。专业能力约占 70%,沟通、推进等通用能力约占 30%。

优先保留:

  1. 与目标岗位匹配度高的能力;
  2. 工作量占比高、本人贡献清楚的事项;
  3. 有采用、决策或商业结果的高含金量产出。

删除重复、低价值、无法解释或与岗位无关的内容。不同经历尽量承担不同的能力证明,避免互相覆盖。

当一段经历存在多个合理方向时,明确给出:

  • 最稳方向:完全由现有事实支持,重点体现职责、方法、交付和已验证结果;
  • 最有竞争力方向:强调所有权、规模、采用或商业影响,但仅在证据足够时写成简历内容;证据不足时说明需要补充什么,不得先写成事实。

3. 搭建结果证据链

按以下顺序追溯价值,写到最后一个已验证环节为止:

业务问题 → 分析/执行方法 → 关键发现或交付 → 被采用/落地 → 业务结果

优先使用业务结果,其次是采用/决策影响、效率或质量提升、覆盖规模,最后才是报告页数等交付物。没有业务结果时,用真实的交付、覆盖范围和使用去向收束,不要暗示未发生的影响。

仅使用有来源的数据。需要近似值时,只有用户确认可用且能解释口径后才写“约”“近”等限定词。对标必须说明基线,例如目标值、改版前、同期、团队平均或明确的同行口径。

4. 撰写经历

先写一句职责概括,再按能力模块写 Bullet Point:

  • 最新或最重要的经历写 3–4 条,不超过 4 条;早期或低相关经历可写 2 条;
  • 项目经历写 3–5 条;
  • 每条遵循“有力动词 + 具体动作/方法 + 已验证结果”;
  • 尽量形成“问题—方法—结果”闭环,一句话只证明一个核心能力;
  • 把工具嵌入业务场景,写清用到什么程度、处理什么对象、支持什么结果;
  • 使用准确的所有权动词,如“主导、负责、搭建、推动、产出、优化、识别、拆解、验证”,强度必须与事实一致;
  • 使用易懂、具体、可追问的语言,删除黑话、中英混杂、长难句和主观评价。

不要为了统一句式牺牲自然表达。不要强行让每条都出现夸张数字;没有数字时,优先写范围、交付和真实应用。

5. JD 定向与排序

若提供 JD,提取最重要的 3–5 项能力,建立“JD 要求—事实证据—对应 Bullet”映射。只复用有事实支撑的关键词,不做关键词堆砌。按“岗位相关性 → 商业/决策价值 → 工作量与所有权”排序。

若未提供 JD,根据经历内容说明最可信的岗位方向;不要虚构具体招聘要求。用户仅要求通用版本时,优先保留可迁移的专业能力与可验证结果。

6. 输出结果

除非用户指定其他格式,按以下顺序交付:

  1. 推荐定位:一句话说明最稳方向;存在显著差异时补充最有竞争力方向及证据条件。
  2. 可直接使用版:只包含已确认事实,不插入解释、批注或虚构占位符。
  3. 待补充增强点:列出最多 3–5 个能显著提高竞争力的具体证据问题;没有则省略。
  4. 修改说明:仅在用户要求审阅、对比或解释时提供,保持简短。

Read the full file on GitHub · 123 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 123 lines · 147 tokens per session scan A 20f043bf9bc3

Subscribe to this mod's changes

resume-experience-template is a skill published in the GitHub repository KaichenCurry/TabNexus (29 stars, last pushed 21d ago), licensed MIT. It adds 147 tokens to every session and 1,892 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

seller-research

Use when researching a merchant, storefront, marketplace seller, or merchant of record for a buying decision, especially when identity, refund terms, fulfillment, counterfeit risk, domain history, or independent buyer outcomes are uncertain.

cinderline/northcinder · 46 tokens

product-research

Use when researching or comparing a specific product, model, or variant for a buying decision, especially when specifications conflict, fit or compatibility matters, retailer copy dominates, or the evidence may be incomplete.

cinderline/northcinder · 43 tokens

browser-bridge

Token-efficient Chrome tab inspection, interaction, and patching via local bridge extension (CLI: bbx). Reads live DOM, styles, console, network, and storage from a real Chrome tab with lower token cost than screenshots.

koltyakov/browser-bridge · 49 tokens

grounded-knowledge-workflow

Use Grounded Knowledge Engine to select an isolated workspace, answer from local evidence, resume an explicitly identified project, create an explicit project checkpoint, and retain durable knowledge. Trigger when a user asks about their documents, workspace or client context, previous research, project state…

dimosgit/grounded-knowledge-engine · 91 tokens

erga-mcp

Use immediately when a user shares a job-posting URL—including a bare link or chat preview—and when organizing recruiting records, evaluating career evidence, or proposing a truthful résumé update through Erga MCP.

Adr1an04/erga-mcp · 44 tokens

signed-in-browser

Drive the browser the user is already signed into, instead of a cold automation profile. Use when a task lives behind a login — a dashboard, an admin console, an internal tool, a ticket queue, a bank or billing page, webmail, a social account — or when a scripted login is failing on SSO, MFA, CAPTCHA or bot detection.…

t3ratech/mcp-session-bridge · 109 tokens