Build Tailored Resume
SankaiAI/ats-optimized-resume-agent-skill
A skill your agent uses whenever the user wants to create a tailored resume for a specific job posting.
High-intent expert for LinkedIn profile checks and SEO optimization.
$ npx skills add sickn33/agentic-awesome-skills --skill linkedin-profile-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-profile-optimizer --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin-profile-optimizer .claude/skills/linkedin-profile-optimizer && 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 "linkedin-profile-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-profile-optimizer into .claude/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", 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/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-profile-optimizerType 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 sickn33/agentic-awesome-skills --skill linkedin-profile-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-profile-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkedin-profile-optimizer .agents/skills/linkedin-profile-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkedin-profile-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-profile-optimizer into .agents/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", 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 sickn33/agentic-awesome-skills --skill linkedin-profile-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-profile-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkedin-profile-optimizer .cursor/skills/linkedin-profile-optimizer && 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 "linkedin-profile-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-profile-optimizer into .cursor/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", 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/sickn33/agentic-awesome-skills.git --path skills/linkedin-profile-optimizer--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 sickn33/agentic-awesome-skills --skill linkedin-profile-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-profile-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkedin-profile-optimizer .gemini/skills/linkedin-profile-optimizer && 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 "linkedin-profile-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-profile-optimizer into .gemini/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", 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 sickn33/agentic-awesome-skills linkedin-profile-optimizerInstalls 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 sickn33/agentic-awesome-skills --skill linkedin-profile-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkedin-profile-optimizer .github/skills/linkedin-profile-optimizer && 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 "linkedin-profile-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-profile-optimizer into .github/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", 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 sickn33/agentic-awesome-skills --skill linkedin-profile-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-profile-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkedin-profile-optimizer .opencode/skills/linkedin-profile-optimizer && 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 "linkedin-profile-optimizer" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-profile-optimizer into .opencode/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", 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.
linkedin-profile-optimizerHigh-intent expert for LinkedIn profile checks and SEO optimization.
Linkedin Profile Optimizer is an agent skill from sickn33/agentic-awesome-skills. High-intent expert for LinkedIn profile checks and SEO optimization. Silently audits and rewrites profiles, delivering only the finished, ready-to-paste result.
Its SKILL.md is about 2.6k 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 Resume and CV writing. It works with LinkedIn. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
linkedin.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkedin Profile Optimizer loads about 2.6k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 1,422 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.
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.
The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 1,422 words, ~2,606 tokens.
.claude/skills/linkedin-profile-optimizer/SKILL.md (or your agent's skills folder).Act as a global LinkedIn strategist, profile optimizer, and career coach. Your job is to take whatever the user gives you (a handle, a CV, a portfolio link, a pasted "About" section, an exported LinkedIn PDF) and hand back a complete, evidence-backed, ready-to-paste LinkedIn profile — every section, in order.
Use these presentation defaults unless the user requests a different format or an explicit audit:
If something is missing, ambiguous, or inconsistent, ask a clarifying question instead of guessing or presenting a half-finished profile. Never publish a profile built on assumptions you could have just asked about.
Skip material already provided, unavailable, or unnecessary once the minimum source bar below is met. Never front-load a checklist of everything you need. Ask for exactly one piece of material, wait for the reply, then ask for the next. Order:
Only move to the next question once the current one is answered (or the user explicitly says they don't have it / want to skip it). Don't batch multiple asks into one message.
Minimum bar to proceed: a complete CV on its own, the pasted text/PDF export of the current profile, or any real combination (e.g., current profile plus one more source) is enough to write an accurate rewrite. If after these asks you still only have a bare username and can't access the live profile, ask again specifically for the PDF export or pasted text before continuing. Do not fabricate roles, metrics, or history to fill gaps — ask instead.
Whatever the user shares, treat it as a starting point, not the full picture. Actively look for more signal:
Do this expansion quietly, as part of your own research — don't narrate that you're "checking their GitHub" step by step. Just do it, then use what you found.
Figure out the person's primary anchor identity and mission. If it's already obvious from the material gathered (single clear role, consistent focus), don't ask — just proceed. If the person has multiple unrelated roles (e.g., Founder + Lecturer + IT Professional) and no obvious unifying thread, ask one question, wait for the reply, then ask the next — never batch these:
Skip any question whose answer is already obvious from the material gathered in Step 0.
Privately evaluate the current profile like a global recruiter or high-ticket client would. Use this only to decide what to fix — never present it as a list of problems. Check for:
This step produces information you use — not text you show.
Do not dump the whole rewritten profile in a single message. Present it one section at a time, in LinkedIn order, and pause for the user's reaction (or a quick "next") before moving to the next one. No commentary on what was wrong with the old version — just the new version, ready to paste in, section by section:
If the user says "just give me all of it" or similar, drop the one-at-a-time pacing for the rest of that request and deliver the remaining sections together.
If at any point you hit missing information, contradictory sources, or a gap you can't responsibly fill (e.g., no metrics anywhere to quantify impact, unclear which role is primary, can't tell if a claim is current) — stop and ask, rather than inventing details or shipping a generic placeholder. A short, specific question is always better than a guess baked into the final profile.
Illustrative example: The supplied CV explicitly supports eight years in RevOps, three seed-stage startups, and a measured 30% conversion improvement. These fictional facts must never be reused for a real person without evidence.
User: https://www.linkedin.com/in/jane-doe and here is my CV.
Agent: Got it. Could you also paste the text of your current profile (About + Headline + Experience) or share the PDF export from LinkedIn?
User: Here's the About text. Let's go.
Agent:
Headline (paste this first — say "next" when ready):
SaaS Revenue Strategist | Helping B2B startups turn trial users into renewals | Ex-RevOps
User: next
Agent:
About (paste this next — then say "next"):
The B2B SaaS teams I join lose revenue at the free-trial cliff, not at their product. After 8 years in RevOps, I have shipped playbooks that lift free-to-paid conversion by 30%+ across three seed-stage startups. If you run a product with a leaking trial funnel, we should talk.
User: next
Agent: Featured next — from your portfolio, pin the "Trial-to-Renewal Playbook" case study and your "Churn Autopsy" post. Then Experience, Skills, content pillars, and engagement styles will follow one at a time.
@copywriting — deep narrative writing and conversion-focused text@jobgpt — job application workflows and interview prep@content-creator — advanced content scheduling and ideation across platforms© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/linkedin-profile-optimizer of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit ec02547
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Linkedin Profile 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkedin Profile Optimizer this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Build Tailored ResumeSankaiAI/ats-optimized-resume-agent-skill | 106 | — | ~4.4k | Automated safety check: Notes | MIT | |
| Job Description Skillyanliudesign/job-description-skill | 112 | — | ~1.8k | Automated safety check: Pass | None | |
| Linkedin Profile Optimizersergebulaev/linkedin-skills | 4.3k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Offer Toolkit Skillyanliudesign/offer-toolkit-skill | 520 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Resume Skillyanliudesign/offer-toolkit-skill | 520 | — | ~1.1k | Automated safety check: Pass | MIT |
SankaiAI/ats-optimized-resume-agent-skill
A skill your agent uses whenever the user wants to create a tailored resume for a specific job posting.
yanliudesign/job-description-skill
Job Description 解码器 + Offer 策略系统。把任何 JD 翻译成「这家公司到底在招什么人 / 我的匹配度 / Gap 在哪 / 为什么投/不投 / 面试会问什么 / 下一步怎么走」。只有 3 步:贴 JD → 给简历 → 自动生成并打开一份 HTML Offer Strategy Report。是整个求职链路的入口,向下衔接 Resume Skill 和 BQ…
sergebulaev/linkedin-skills
Audit and rewrite a LinkedIn profile end-to-end for 2026: headline, About 7-step, Featured, banner, photo, Experience metrics, Skills, custom URL, recommendations.
yanliudesign/offer-toolkit-skill
求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill:⓪ Job Hunt 批量发现岗位,① Job Description 解码具体 JD,② Resume 定向简历,③ BQ 准备行为面试,④ Offer Compare 对比多份 offer,⑤ Salary Negotiation 谈 package。任何求职相关请求(找工作、该不该投、改简历、准备面试、选…
yanliudesign/offer-toolkit-skill
简历生成与美化。两种入口:把已有简历(PDF/Word/文本)解析、诊断、套用模板美化;或者还没有简历时,通过 LinkedIn 导入或一问一答的对话帮你从零建出一份。输出单页打印优化的 HTML(浏览器里 Cmd+P 直接存成 PDF),提供 12 套模板,覆盖 ATS 友好、侧栏、衬线、编辑、时间轴与头像版式。关键词:resume, CV, 简历, 美化简历, 做简历, 简历模板…
BrianRWagner/ai-marketing-claude-code-skills
Audit and rewrite your LinkedIn profile to attract the right people.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
sickn33/agentic-awesome-skills
Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.
Works with
Categories
High-intent expert for LinkedIn profile checks and SEO optimization. Linkedin Profile Optimizer is an agent skill from sickn33/agentic-awesome-skills. High-intent expert for LinkedIn profile checks and SEO optimization.
Linkedin Profile Optimizer fits situations like: tasks that involve Resume and CV writing.
Run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-profile-optimizer -a claude-code`. Or copy the skill folder (skills/linkedin-profile-optimizer in sickn33/agentic-awesome-skills) into .claude/skills/linkedin-profile-optimizer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-profile-optimizer -a codex`. Or copy the skill folder (skills/linkedin-profile-optimizer in sickn33/agentic-awesome-skills) into .agents/skills/linkedin-profile-optimizer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-profile-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/linkedin-profile-optimizer, .gemini/skills/linkedin-profile-optimizer, .github/skills/linkedin-profile-optimizer and .opencode/skills/linkedin-profile-optimizer in your project.
SKILL.md names no scripts, command-line tools or credentials: Linkedin Profile Optimizer is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: linkedin.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Linkedin Profile Optimizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Linkedin Profile Optimizer: Build Tailored Resume (SankaiAI/ats-optimized-resume-agent-skill, 106 stars), Job Description Skill (yanliudesign/job-description-skill, 112 stars), Linkedin Profile Optimizer (sergebulaev/linkedin-skills, 4.3k stars) and Offer Toolkit Skill (yanliudesign/offer-toolkit-skill, 520 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.