Backend and Agent Project Selector
lishuangqiang/backend-agent-resume-scout
Finds backend or AI agent projects on GitHub that are worth putting on a resume, checks them against local source and writes a Markdown resume package.
Transforms completed work into powerful resume bullet points with action verbs, technical context, and quantified impact.
Install Resume Bullet Extraction
$ npx skills add DanielPodolsky/ownyourcode --skill resume-bullet-extraction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DanielPodolsky/ownyourcode resume-bullet-extraction --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/DanielPodolsky/ownyourcode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/career/resume-bullets .claude/skills/resume-bullet-extraction && rm -rf skills-srcUse ~/.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/
Install the "resume-bullet-extraction" agent skill from https://github.com/DanielPodolsky/ownyourcode/tree/main/.claude/skills/career/resume-bullets into .claude/skills/resume-bullet-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-bullet-extraction", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/DanielPodolsky/ownyourcode/tree/main/.claude/skills/career/resume-bulletsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add DanielPodolsky/ownyourcode --skill resume-bullet-extraction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DanielPodolsky/ownyourcode resume-bullet-extraction --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DanielPodolsky/ownyourcode.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/career/resume-bullets .agents/skills/resume-bullet-extraction && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "resume-bullet-extraction" agent skill from https://github.com/DanielPodolsky/ownyourcode/tree/main/.claude/skills/career/resume-bullets into .agents/skills/resume-bullet-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-bullet-extraction", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DanielPodolsky/ownyourcode --skill resume-bullet-extraction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DanielPodolsky/ownyourcode resume-bullet-extraction --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DanielPodolsky/ownyourcode.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/career/resume-bullets .cursor/skills/resume-bullet-extraction && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "resume-bullet-extraction" agent skill from https://github.com/DanielPodolsky/ownyourcode/tree/main/.claude/skills/career/resume-bullets into .cursor/skills/resume-bullet-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-bullet-extraction", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/DanielPodolsky/ownyourcode.git --path .claude/skills/career/resume-bullets--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add DanielPodolsky/ownyourcode --skill resume-bullet-extraction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DanielPodolsky/ownyourcode resume-bullet-extraction --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DanielPodolsky/ownyourcode.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/career/resume-bullets .gemini/skills/resume-bullet-extraction && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "resume-bullet-extraction" agent skill from https://github.com/DanielPodolsky/ownyourcode/tree/main/.claude/skills/career/resume-bullets into .gemini/skills/resume-bullet-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-bullet-extraction", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install DanielPodolsky/ownyourcode resume-bullet-extractionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add DanielPodolsky/ownyourcode --skill resume-bullet-extraction -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DanielPodolsky/ownyourcode.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/career/resume-bullets .github/skills/resume-bullet-extraction && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "resume-bullet-extraction" agent skill from https://github.com/DanielPodolsky/ownyourcode/tree/main/.claude/skills/career/resume-bullets into .github/skills/resume-bullet-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-bullet-extraction", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DanielPodolsky/ownyourcode --skill resume-bullet-extraction -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DanielPodolsky/ownyourcode resume-bullet-extraction --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DanielPodolsky/ownyourcode.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/career/resume-bullets .opencode/skills/resume-bullet-extraction && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "resume-bullet-extraction" agent skill from https://github.com/DanielPodolsky/ownyourcode/tree/main/.claude/skills/career/resume-bullets into .opencode/skills/resume-bullet-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-bullet-extraction", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
resume-bullet-extraction- GitHub stars
- 290
- Token cost
- ~1.4k tokens
- SKILL.md length
- 414 words
- Files
- 1
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- MIT
At a glance
Transforms completed work into powerful resume bullet points with action verbs, technical context, and quantified impact.
- Works in 4 steps: Identify the Highlight → Draft the Bullet → Quantify → …
- Completing tasks
- SKILL.md covers Purpose, The Bullet Formula, Strong Action Verbs and Impact Quantification, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Resume Bullet Extraction is an agent skill from DanielPodolsky/ownyourcode. Transforms completed work into powerful resume bullet points with action verbs, technical context, and quantified impact. Use when completing tasks, updating portfolio, or preparing job applications.
Its SKILL.md is about 1.4k 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 Business, Finance & HR, covering Job search and resumes. The repository describes itself as: Claude Code workflow for AI-mentored development. Work efficiently with Spec-Driven Development and the 6 Gates. Built to fight cognitive offloading — for developers using AI to… The licence is MIT.
When your agent uses it
- Completing tasks
- Updating portfolio
- Preparing job applications
Example prompts
- “Use the resume-bullet-extraction skill to transform completed work into powerful resume bullet points with action verbs, technical context, and…”
- “/resume-bullet-extraction”
Requirements
- Node.js
- Docker
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit bd1f17c. 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 Bullet Extraction loads about 1.4k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 414 words of instructions outside code blocks.
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
The full file from DanielPodolsky/ownyourcode at commit bd1f17c, republished under its MIT licence (© DanielPodolsky). 414 words, ~1,437 tokens.
Download SKILL.mdSave it as
.claude/skills/resume-bullet-extraction/SKILL.md (or your agent's skills folder).- name
- resume-bullet-extraction
- description
- Transforms completed work into powerful resume bullet points with action verbs, technical context, and quantified impact. Use when completing tasks, updating portfolio, or preparing job applications.
Resume Bullet Extraction
"Your resume isn't a job description. It's a highlight reel of impact."
Purpose
Transform completed work into powerful resume bullet points that demonstrate value and technical competence.
The Bullet Formula
[Strong Action Verb] + [What You Did] + [Technical Context] + [Impact/Result]Components
| Component | Purpose | Example |
|---|---|---|
| Action Verb | Shows initiative | Engineered, Architected, Optimized |
| What You Did | The accomplishment | JWT authentication system |
| Technical Context | Shows skill | using React, Node.js, Redis |
| Impact | Why it matters | reducing auth errors by 40% |
Strong Action Verbs
Building/Creating
- Engineered
- Architected
- Developed
- Implemented
- Built
- Designed
Improving
- Optimized
- Enhanced
- Refactored
- Modernized
- Streamlined
- Accelerated
Problem Solving
- Resolved
- Debugged
- Eliminated
- Reduced
- Prevented
- Mitigated
Leading/Collaborating
- Led
- Spearheaded
- Collaborated
- Mentored
- Coordinated
Impact Quantification
Always try to quantify. If you can't measure directly, estimate reasonably.
Performance
- "reducing load time by 60%"
- "improving response time from 2s to 200ms"
- "handling 10,000+ concurrent users"
Reliability
- "achieving 99.9% uptime"
- "eliminating production errors"
- "reducing bug reports by 50%"
Business
- "increasing user retention by 25%"
- "supporting 50,000 monthly active users"
- "saving 10 hours/week of manual work"
Scale
- "processing 1M+ transactions daily"
- "managing 500GB of user data"
- "serving 100+ API endpoints"
Bullet Templates
Feature Implementation
[Verb] [feature] using [technologies] that [impact]
Examples:
- Engineered JWT authentication with refresh token rotation using Node.js and Redis, eliminating session hijacking vulnerabilities
- Built real-time notification system using WebSockets and React, improving user engagement by 35%Performance Optimization
[Verb] [what] by [how], resulting in [metric]
Examples:
- Optimized database queries through index analysis and query restructuring, reducing API response time by 70%
- Accelerated page load performance by implementing code splitting and lazy loading, improving Core Web Vitals by 40%Bug Fix / Problem Solving
[Verb] [problem] by [solution], preventing [impact]
Examples:
- Resolved race condition in checkout flow by implementing optimistic locking, preventing duplicate charges
- Eliminated memory leak in React components through proper cleanup, reducing crash reports by 90%Architecture / Refactoring
[Verb] [system] from [old] to [new], enabling [benefit]
Examples:
- Migrated monolithic application to microservices architecture using Docker and Kubernetes, enabling independent team deployments
- Refactored authentication module from session-based to JWT, reducing server memory usage by 60%Quality Checklist
- Starts with strong action verb (not "Responsible for")
- Includes specific technologies
- Has quantifiable impact OR clear business value
- Is one concise sentence
- Avoids jargon recruiters won't understand
- Demonstrates ownership ("I" is implied)
- Would make sense to a technical interviewer
Bad vs Good Examples
Bad
❌ "Worked on the login system"
- No action verb, no specifics, no impact
❌ "Responsible for user authentication"
- Passive, no accomplishment shown
❌ "Helped with performance improvements"
- Vague, no ownership, no metricsGood
✅ "Engineered JWT authentication with refresh token rotation, reducing session vulnerability surface and supporting 50,000+ daily active users"
✅ "Optimized PostgreSQL queries through index analysis, reducing average API response time from 800ms to 120ms"
✅ "Built responsive dashboard using React and D3.js, enabling real-time visualization of 1M+ daily events"Extraction Flow
Step 1: Identify the Highlight
"What's the most impressive aspect of what you just built?"
Options:
- Technical complexity solved
- Business problem addressed
- Performance improved
- Scale achieved
- Security enhanced
Show full SKILL.md (152 more words)Show less
Step 2: Draft the Bullet
Use the formula: Verb + What + Technical Context + Impact
Step 3: Quantify
"Can we add numbers? How much faster? How many users? What percentage improvement?"
Step 4: Polish
- Remove weak words ("helped", "assisted", "worked on")
- Add specific technologies
- Ensure it stands alone (no context needed)
Resume Section Placement
| Bullet Type | Resume Section |
|---|---|
| Feature/System built | Projects or Experience |
| Performance optimization | Experience (shows impact) |
| Architecture decision | Experience or Technical Skills |
| Learning/Growth | Skills or Side Projects |
Socratic Bullet Questions
- Finding impact: "If this feature didn't exist, what would break?"
- Quantifying: "How many users does this affect? How much time does it save?"
- Technical depth: "What would you tell a technical interviewer about how this works?"
- Differentiation: "What makes your implementation better than a basic solution?"
Save Location
Bullets are compiled in STAR story files:
ownyourcode/career/stories/[date]-[feature-name].mdThe resume bullet appears at the end of each story for easy extraction.
© DanielPodolsky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/career/resume-bullets of DanielPodolsky/ownyourcode.
Open the folder on GitHubat commit bd1f17c
Compare with similar skills
Resume Bullet Extraction 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Resume Bullet Extraction this skillDanielPodolsky/ownyourcode | 290 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Backend and Agent Project Selectorlishuangqiang/backend-agent-resume-scout | 350 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| freehire Tech Job SearchMadsLorentzen/ai-job-search | 45k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Interview Prepreactive-resume/reactive-resume | 44k | — | ~10k | Automated safety check: Pass | MIT | |
| Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool | 2.1k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Offer Negotiationreactive-resume/reactive-resume | 44k | — | ~10k | Automated safety check: Pass | MIT |
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Prepares the user for a specific interview from their real experience.
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LiuMengxuan04/shushu-internship-tool
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Questions about Resume Bullet Extraction
What does Resume Bullet Extraction do?
Transforms completed work into powerful resume bullet points with action verbs, technical context, and quantified impact. Resume Bullet Extraction is an agent skill from DanielPodolsky/ownyourcode. Transforms completed work into powerful resume bullet points with action verbs, technical context, and quantified impact.
When should I use Resume Bullet Extraction?
Resume Bullet Extraction fits situations like: completing tasks; updating portfolio; preparing job applications.
How do I install Resume Bullet Extraction in Claude Code?
Run `npx skills add DanielPodolsky/ownyourcode --skill resume-bullet-extraction -a claude-code`. Or copy the skill folder (.claude/skills/career/resume-bullets in DanielPodolsky/ownyourcode) into .claude/skills/resume-bullet-extraction in your project. Claude Code loads it when a task matches its description.
How do I install Resume Bullet Extraction in Codex?
Run `npx skills add DanielPodolsky/ownyourcode --skill resume-bullet-extraction -a codex`. Or copy the skill folder (.claude/skills/career/resume-bullets in DanielPodolsky/ownyourcode) into .agents/skills/resume-bullet-extraction in your project. Codex loads it when a task matches its description.
Can I use Resume Bullet Extraction 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 DanielPodolsky/ownyourcode --skill resume-bullet-extraction -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-bullet-extraction, .gemini/skills/resume-bullet-extraction, .github/skills/resume-bullet-extraction and .opencode/skills/resume-bullet-extraction in your project.
What does Resume Bullet Extraction need to run?
SKILL.md names no scripts, command-line tools or credentials: Resume Bullet Extraction is instructions for the agent only. Our summary lists: Node.js; Docker.
Does Resume Bullet Extraction 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 Bullet Extraction 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 Bullet Extraction use?
Resume Bullet Extraction is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Resume Bullet Extraction use?
About 1.4k tokens (SKILL.md is roughly 5.7k 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 Bullet Extraction?
Skills that share tags, products or a category with Resume Bullet Extraction: Backend and Agent Project Selector (lishuangqiang/backend-agent-resume-scout, 350 stars), freehire Tech Job Search (MadsLorentzen/ai-job-search, 45k stars), Interview Prep (reactive-resume/reactive-resume, 44k stars) and Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Resume Bullet Extraction?
DanielPodolsky (a GitHub user) maintains it in DanielPodolsky/ownyourcode, which has 290 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on June 27, 2026.
Source: DanielPodolsky/ownyourcode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.