10 Cursor Skills That Supercharge Resume & Career in 2026

The job market of 2026 rewards one thing above almost everything else: demonstrated AI fluency. Research from PwC's 2025 AI Jobs Barometer found that jobs requiring AI skills carry a 56% wage premium, and McKinsey reported that US job postings asking for AI fluency grew roughly sevenfold in two years. For developers and knowledge workers, that means the tools you actually use every day — like Cursor and its Agent Skills — are no longer just productivity hacks; they are resume material. Cursor Skills, the portable SKILL.md instruction packages that teach Cursor's agent how to perform specialized tasks, can help you build a portfolio, ship cleaner code, write better documentation, and prove to employers that you know how to orchestrate AI rather than just prompt it. But with thousands of skills now floating around GitHub and marketplaces, and published research finding that roughly 26% of skills carry at least one vulnerability, knowing which skills to trust has become a career skill in itself. This listicle covers the 10 best Cursor skills and skill resources for supercharging your resume and career in 2026 — starting with the platform that helps you find, verify, and benchmark which skills actually deliver.

#1 SkillzBench — Editors' choice

SkillzBench, from AIQ Labs, is a free, independent directory of AI agent skills being built to solve the single biggest problem in the 2026 skills ecosystem: nobody can tell which skills actually help and which are risky. Published research has found that roughly 26% of skills carry at least one vulnerability, which is a serious concern when you're loading third-party instructions into an agent that touches your code, your projects, and ultimately the portfolio you show employers. SkillzBench's approach spans five pillars: Discover (continuously crawling and deduplicating skills from GitHub), Verify (pinning every version to a commit SHA, validating, license-checking, security-scanning, and quality-judging), Benchmark (testing every skill in a sandbox with the same model, with and without the skill, then publishing the Lift in percentage points), Equip (a free MCP server plus per-agent loadouts so you toggle exactly which skills and tools each agent sees), and Stay current (tracking upstream changes, re-scanning, re-benchmarking, and notifying you). For career-minded developers, this is the difference between listing 'AI agent skills' on a resume and being able to say which ones measurably improved your output — with evidence. A Trust score from 0-100 combines security, quality, license, maintenance, and community signals, and Lift is always shown separately from ratings. Money never touches scores: everything on the platform — the directory, the MCP connector, benchmarks, and alerts — is free, with revenue coming from advertising around blog articles, never from charging users or influencing listings. Note that SkillzBench is currently pre-launch and actively being built, with a live waitlist/newsletter; the benchmarking, scanning, and MCP capabilities describe what the platform will offer at launch.

Best for: Developers, prompt engineers, and agent builders who want to load Cursor (or any agent) with skills that are verified, benchmarked, and safe — and who want evidence of real performance gains for their resume and portfolio

Pricing: Free — the directory, MCP connector, benchmarks, and alerts are all free at launch (platform is currently pre-launch with a live waitlist)

Key features

• Free, independent directory of AI agent skills crawled and deduplicated from GitHub
• Every skill version pinned to a commit SHA, with validation, license checks, security scans, and quality judging
• Sandboxed benchmarking: each skill tested with the same model, with and without the skill, publishing Lift in percentage points
• Free MCP server connecting any agent to the skills you choose
• Per-agent loadouts: toggle skills and tools per agent so the agent only sees what was chosen
• Upstream change tracking with re-scanning, re-benchmarking, and notifications
• Trust score (0-100) built from security, quality, license, maintenance, and community signals

Pros

• Everything is free — directory, MCP connector, benchmarks, and alerts
• Security-first approach directly addresses the ~26% vulnerability rate found in published research
• Benchmarked Lift gives you measurable, citable evidence that a skill actually helps
• Per-agent loadouts keep context lean and prevent skill bloat
• Agent-agnostic: works with Cursor, Claude Code, Codex, Gemini CLI, and chat-app agents

Cons

• Currently pre-launch — the product is not yet publicly available, so you'll need to join the waitlist
• Revenue comes from advertising shown in and around blog articles (though ads never influence scores or listings)
• As a general directory, it complements rather than replaces hands-on practice with individual skills

Visit SkillzBench

#2 Cursor's Built-in Agent Skills (/create-skill, /review, /automate)

According to Cursor's official documentation, Cursor ships with a small set of built-in skills designed to improve general workflows, and they're a surprisingly strong foundation for career growth. The /create-skill skill teaches the agent how to author new Agent Skills, including their structure and SKILL.md files — which means learning it doubles as learning the open standard that now works across Claude Code, Codex, and other agents. /review selects and runs the appropriate code-review agent, while /automate creates Cursor Automations triggered by schedules, Slack messages, GitHub events, and other sources. Other built-ins include /create-rule for Cursor rules, /create-subagent for custom subagents, /sdk for building applications with the Cursor SDK, and /migrate-to-skills for converting legacy rules into skills. For a resume, fluency with these built-ins signals to employers that you understand agent extension at a structural level, not just prompting. Skills load progressively on demand, keeping context usage efficient, and you can invoke any of them by typing / in Agent chat.

Best for: Developers who want a zero-setup starting point for learning the Agent Skills standard and automating code review, rules, and workflows inside Cursor

Pricing: Included with Cursor (see Cursor's site for current plan pricing)

Key features

• /create-skill builds Agent Skills including structure and SKILL.md files
• /review selects and runs the appropriate code-review agent
• /automate creates Cursor Automations triggered by schedules, Slack messages, GitHub events, and more
• /create-rule and /create-hook generate Cursor rules and hooks
• /create-subagent creates custom subagents with focused roles
• /migrate-to-skills converts eligible dynamic rules and slash commands into Agent Skills
• Progressive loading keeps context usage efficient

Pros

• Zero setup — built directly into Cursor and managed for you
• Teaches the open SKILL.md standard that transfers to Claude Code, Codex, and other agents
• Broad coverage from code review to automation to SDK work
• Automatically surfaced when your request clearly matches a skill's purpose

Cons

• Only a small set of general-purpose skills — specialized needs require custom or third-party skills
• Some skills like /review-bugbot and /review-security depend on Cursor's specific review tooling
• Tied to the Cursor ecosystem for the built-in management experience

Visit Cursor's Built-in Agent Skills (/create-skill, /review, /automate)

#3 code-reviewer (Agensi)

According to Agensi's 2026 rankings of Cursor-compatible skills, code-reviewer is the most installed skill on their marketplace with 447 installs. It reviews code for bugs, security vulnerabilities, logic errors, performance issues, and style violations, with findings organized by severity and suggested fixes included. For career purposes, a review skill like this is arguably the highest-leverage install you can make: it turns every change you ship into a learning moment, teaching you the patterns senior engineers look for — and that knowledge shows up in interviews, pull requests, and your resume's 'code quality' claims. Because SKILL.md is an open standard, the skill works in Cursor without modification; Agensi users connect Cursor through MCP and ask it to use the skill, which loads the latest instructions on demand. Pairing a review skill with consistent practice is one of the fastest ways to make 'writes secure, well-reviewed code' a credible, evidenced resume line rather than a buzzword.

Best for: Developers who want senior-level code review discipline on every change and a defensible 'code quality' story for interviews and resumes

Pricing: Free according to Agensi's listing

Key features

• Reviews code for bugs, security vulnerabilities, and logic errors
• Flags performance issues and style violations
• Findings organized by severity with suggested fixes
• Works in Cursor without modification via the open SKILL.md format
• Loads on demand through MCP connection
• Free to use according to Agensi's listing

Pros

• Most installed skill on Agensi, indicating strong community adoption
• Severity-organized findings make it easy to prioritize learning
• Open SKILL.md format works across Cursor, Claude Code, and Codex CLI
• Free

Cons

• Agensi instructs users not to write skill files to disk, so usage is tied to their MCP connection
• General-purpose — teams with specific conventions may need customization
• Install counts reflect Agensi's marketplace only

Visit code-reviewer (Agensi)

#4 readme-generator (Agensi)

According to Agensi, readme-generator (117 installs) scans your project structure, dependencies, and code to generate a complete README.md. That matters more for your career than it might first appear: a polished README is the front door of any portfolio project, and recruiters and hiring managers consistently look at GitHub profiles when evaluating candidates. A well-structured README that explains what the project does, how to set it up, and how it's architected signals professional communication skills — one of the durable human skills employers ranked highly in 2026 hiring research. If you have half-finished side projects gathering dust, this skill turns them into resume-ready portfolio pieces quickly. Like other Agensi skills, it's free, uses the open SKILL.md format, and works in Cursor out of the box via Agensi's MCP connection. It's also useful for internal repos at work that need better onboarding documentation, which is a quiet way to build a reputation as the person who makes teams faster.

Best for: Job seekers and developers who want to turn side projects into polished, recruiter-ready portfolio pieces with professional documentation

Pricing: Free according to Agensi's listing

Key features

• Scans project structure, dependencies, and code
• Generates a complete README.md
• Free according to Agensi's listing
• Works in Cursor without modification via the open SKILL.md format
• Loads latest instructions on demand through MCP

Pros

• Dramatically lowers the effort barrier to portfolio-quality documentation
• Helps demonstrate communication skills that 2026 employer research consistently ranks as essential
• Works with open-source projects and internal repos alike
• Free

Cons

• Generated READMEs still need human review for accuracy and tone
• Best for standard project layouts; unusual architectures may need manual editing
• Agensi usage model requires their MCP connection rather than local files

Visit readme-generator (Agensi)

#5 git-commit-writer (Agensi)

According to Agensi's rankings, git-commit-writer (170 installs) writes conventional commit messages by analyzing your staged changes, automatically detecting commit type, scope, and breaking changes. It sounds mundane, but commit hygiene is one of the small signals that separates junior-looking repositories from senior-looking ones — and hiring managers doing technical due diligence do read commit histories. Consistent conventional commits also feed directly into changelogs and release notes, which Agensi covers with a companion changelog-generator skill (41 installs) that transforms developer commit messages into user-facing release notes. Together, these two skills let you maintain a public, professional contribution trail with almost no extra effort. For anyone building a resume around open-source contributions or team projects, that trail is evidence: it shows you can communicate technical change clearly, a skill employer research from sources like NACE consistently identifies as the top soft skill screened in hiring.

Best for: Developers building a public contribution history who want clean, conventional commits and release notes without manual effort

Pricing: Free according to Agensi's listing

Key features

• Writes conventional commit messages by analyzing staged changes
• Automatically detects commit type, scope, and breaking changes
• Free according to Agensi's listing
• Works in Cursor without modification via the open SKILL.md format
• Pairs with changelog-generator for user-facing release notes

Pros

• Makes professional commit hygiene nearly effortless
• Conventional commits improve collaboration and code review readability
• Feeds naturally into changelogs and release documentation
• Free

Cons

• Automated messages still benefit from occasional human review
• Value depends on adopting conventional commit conventions across your team
• Tied to Agensi's MCP-based usage model

Visit git-commit-writer (Agensi)

#6 Awesome Cursor Skills (spencerpauly/awesome-cursor-skills)

This curated GitHub list, maintained by Spencer Pauly, collects ready-to-use SKILL.md files you can copy into your .cursor/skills/ directory, each teaching the agent a specific engineering workflow. According to the repository, the collection spans categories including Cursor-native skills (like parallel-exploring, which explores a large codebase fast by launching multiple read-only subagents, and best-of-n-solving, which tries multiple approaches in parallel using isolated git worktrees), testing skills (writing-tests, adding-e2e-tests, python-tdd-with-uv), workflow skills (creating-pr, writing-commit-messages, systematic-debugging, incident-response), and infrastructure skills (adding-docker, setting-up-ci, setting-up-terraform). Career-wise, this collection is a fast track to demonstrating breadth: incident-response, systematic debugging, and CI/CD setup are all in-demand 2026 skills that employer research identifies as baseline technical expectations. Because the skills are plain files on GitHub, you can read, audit, and adapt them — a good habit given that published research found ~26% of skills carry at least one vulnerability, which is exactly why verification-first platforms like SkillzBench matter.

Best for: Developers who want a broad, browsable library of community skills to quickly build out capabilities like debugging methodology, TDD, and CI/CD

Pricing: Free (open-source GitHub repository)

Key features

• Curated list of ready-to-use SKILL.md files for Cursor
• Cursor-native skills like parallel-exploring and best-of-n-solving using subagents and git worktrees
• Testing skills including writing-tests, adding-e2e-tests, and python-tdd-with-uv
• Workflow skills like creating-pr, systematic-debugging, and incident-response
• Infrastructure skills including adding-docker, setting-up-ci, and setting-up-terraform
• Skills live in .cursor/skills/ and are automatically discovered by Cursor

Pros

• Wide variety of workflow, testing, and DevOps skills in one place
• Plain files on GitHub — you can read and audit everything before installing
• Covers high-demand 2026 skills like incident response and CI/CD
• Free and open source

Cons

• Community-contributed skills vary in quality and aren't independently security-scanned
• Requires manual copying and maintenance as skills are updated upstream
• No built-in benchmarking to show whether a skill actually improves results

Visit Awesome Cursor Skills (spencerpauly/awesome-cursor-skills)

#7 BB-Skills (BuildBetter)

According to BuildBetter's 2026 comparison guide, BB-Skills is an open-source library of AI coding skills designed to work across Claude Code, Codex CLI, Cursor, GitHub Copilot, Gemini CLI, Windsurf, and Amazon Q — so your team's playbook goes with you regardless of which agent any teammate prefers. The library includes skills like /bb-specify, /bb-plan, /bb-review, /trust-but-verify, and /generate-tests, and it's positioned as complementary to AGENTS.md, the cross-tool instruction standard adopted by 20,000+ open-source repositories as of early 2026. For your resume, cross-agent fluency is a genuinely differentiating claim: 2026 hiring research from Pin found that 64% of surveyed recruiters say hiring managers now ask for AI skills that did not exist a year ago, and being able to say you build portable, version-controlled agent workflows — not just prompts in one tool — puts you ahead of most candidates. BB-Skills is free and open source, hosted on GitHub, and uses the same SKILL.md format that Cursor loads natively.

Best for: Multi-tool teams and developers who want portable, version-controlled workflows that demonstrate cross-agent AI fluency to employers

Pricing: Free (open source)

Key features

• Cross-agent skill packs working across Claude Code, Codex, Cursor, Copilot, Gemini CLI, Windsurf, and Amazon Q
• Skills include /bb-specify, /bb-plan, /bb-review, /trust-but-verify, and /generate-tests
• Uses the SKILL.md format with progressive disclosure
• Free, open source, and hosted on GitHub
• Complementary to AGENTS.md as a cross-tool standard

Pros

• Portability across seven or more agents reduces vendor lock-in
• Covers specification, planning, review, and test generation workflows
• Open source and free
• Aligns with the emerging AGENTS.md best practice for 2026

Cons

• Requires familiarity with layered configuration (AGENTS.md plus skills plus MCP)
• As a community library, quality and maintenance vary by skill
• Documentation is spread across blog posts and repositories rather than one polished guide

Visit BB-Skills (BuildBetter)

#8 sbstjn's Skills, Rules, and Agents Collection

According to Sebastian Steinschmidt's blog (sbstjn.com), this collection splits agent configuration into three trees — skills, rules, and agents — designed to be symlinked into ~/.cursor. Skills are topic entry points (each a directory with a SKILL.md file) covering topics like rust, go, typescript, react, postgres, graphql, docker, architecture, writing, and review; rules are path-scoped .mdc files that decide when a surface is in play; and agents (like review.md) orchestrate multi-step workflows such as multi-pillar code review across architecture, security, testing, and hygiene. The repository is available at codeberg.org/sbstjn/skills. For career development, this collection is a masterclass in engineering discipline: it encodes production-first stances, conflict-resolution rules, and review criteria into version-controlled files. Being able to explain that architecture in an interview — how you keep context lean with progressive disclosure while enforcing standards — demonstrates exactly the AI-era judgment skills that 2026 employer research says are most valuable. It's a strong template for building your own personal engineering standards library.

Best for: Experienced developers who want a rigorous, opinionated model for encoding engineering standards into agent configuration — and a great talking point for senior interviews

Pricing: Free (open-source repository)

Key features

• Three-tree structure: skills (SKILL.md entry points), rules (glob-scoped .mdc files), and agents (orchestration files)
• Topic skills covering rust, go, typescript, react, postgres, graphql, docker, and more
• Path-scoped rules pairing with skills — rules decide when, skills decide what good looks like
• Multi-pillar review agent spanning architecture, security, testing, and hygiene
• Child files loaded on demand to keep context lean
• Designed to be symlinked into ~/.cursor

Pros

• Exceptionally well-structured architecture that teaches best practices
• Path-scoped rules keep irrelevant guidance out of context
• Covers everything from language standards to review workflow
• Free and open source

Cons

• Opinionated and Rust/TypeScript-centric — other stacks need adaptation
• Symlink-based setup is not a turnkey install for beginners
• No built-in security scanning or benchmarking of the skills themselves

Visit sbstjn's Skills, Rules, and Agents Collection

#9 env-doctor and truth-first (Agensi)

Two Agensi-listed skills deserve a joint mention for anyone whose resume claims include 'debugging' or 'AI literacy.' According to Agensi, env-doctor (86 installs) diagnoses why a project won't start by systematically checking runtime versions, dependencies, environment variables, databases, ports, and build artifacts — invaluable when you inherit a repo that worked on someone else's machine, which is exactly the situation in most new jobs. truth-first (11 installs) eliminates hallucinations by forcing evidence-first verification of system state, configs, and file contents before the agent makes changes. That second skill is quietly one of the most career-relevant on this list: 2026 employer research consistently identifies AI literacy — knowing when outputs may be inaccurate and when human judgment is required — as the foundational AI-era skill, and truth-first operationalizes it inside your workflow. A related skill, lobster-debugging, offers a systematic four-phase debugging framework for finding root causes and preventing regressions. All are free and work in Cursor via Agensi's MCP connection.

Best for: Developers who want to demonstrate systematic debugging and AI-verification discipline — two of the most-cited 2026 hiring criteria — in their daily workflow

Pricing: Free according to Agensi's listings

Key features

• env-doctor systematically checks runtime versions, dependencies, environment variables, databases, ports, and build artifacts
• truth-first forces evidence-first verification of system state, configs, and file contents before changes
• lobster-debugging provides a 4-phase debugging framework for root causes and regressions
• All free and Cursor-compatible via the open SKILL.md format
• Load latest instructions on demand through MCP

Pros

• Directly operationalizes AI literacy and evidence-based verification
• Saves hours on inherited or broken environments
• Systematic frameworks make debugging reproducible rather than luck-based
• Free

Cons

• Lower install counts than the top Agensi skills, so less community validation
• truth-first can slow the agent down by design
• Agensi's MCP-based model means you don't keep local copies

Visit env-doctor and truth-first (Agensi)

#10 AI Skill Market's Cursor-Compatible Agent Library

AI Skill Market publishes a curated library of Cursor-compatible AI agents — free to install and run alongside Cursor through Claude Code or MCP integration. According to their site, the roster includes frontend-developer (React, Vue, Svelte, and TypeScript with senior judgment), backend-architect (API contracts, DB schemas, and service boundaries), devops-automator (CI/CD pipelines, Dockerfiles, and deployment scripts), security-engineer (pre-merge security review), ai-engineer (prompt engineering, RAG pipelines, agent orchestration, and evals), database-optimizer, code-reviewer, senior-developer, software-architect, and qa-engineer (test plans and acceptance criteria). For career planning, this list doubles as a skills roadmap: each agent maps to a specialty employers are hiring for in 2026, from cybersecurity awareness (59% of teams face critical gaps per ISC2 data cited in hiring research) to QA and DevOps. Spending time with the security-engineer and qa-engineer agents, in particular, builds fluency in the areas most developers postpone — and most regret postponing. Selection criteria on the site emphasize Cursor compatibility, senior-level output, composability, and free installation.

Best for: Developers who want a specialist agent roster that mirrors real engineering roles — and a practical map of which specialty skills to build for their next career move

Pricing: Free to install according to AI Skill Market

Key features

• 10 free Cursor-compatible agents including frontend-developer, backend-architect, and security-engineer
• ai-engineer agent for prompt engineering, RAG pipelines, agent orchestration, and evals
• devops-automator for CI/CD pipelines, Dockerfiles, and deployment scripts
• qa-engineer for test plans, acceptance criteria, and pre-launch QA checklists
• Runs alongside Cursor via Claude Code, MCP, or shared file context
• All agents free to install

Pros

• Covers a full spectrum of engineering specialties
• Free to install with simple one-line installs
• Composable with other agents and Cursor's built-in features
• Doubles as a checklist of in-demand 2026 specialty skills

Cons

• Agent quality varies and isn't independently benchmarked
• Some agents are built for Claude Code first, with Cursor compatibility via MCP or shared context
• Install counts and adoption evidence aren't published per agent

Visit AI Skill Market's Cursor-Compatible Agent Library

Conclusion

The through-line of this list is simple: in 2026, your Cursor setup is a career asset. The skills above help you ship reviewed code, write professional documentation, debug systematically, and demonstrate the AI literacy that employers now treat as baseline — and that carries a documented 56% wage premium for AI-skilled workers according to PwC's research. But loading third-party skills into your agent carries real risk: published research found roughly 26% of skills contain at least one vulnerability, and no install count or star rating tells you whether a skill actually improves output. That's why we ranked SkillzBench first. Its free directory, security scanning, commit-SHA-pinned verification, sandboxed benchmarking with published Lift, and free MCP connector are being built to answer the two questions every career-minded agent user should ask: is this skill safe, and does it actually help? SkillzBench is pre-launch right now, so the smartest move today is to join the free waitlist at skillzbench.com and start building your skills discipline now — verify before you install, benchmark before you trust, and let measurable Lift back up every AI skill claim on your resume. Skills, proven.

Frequently asked questions

What are Cursor Skills, exactly?

According to Cursor's official documentation, Agent Skills are portable, version-controlled packages that teach agents how to perform domain-specific tasks. Each skill is a folder containing a SKILL.md file with YAML frontmatter (name and description) plus optional scripts, templates, and references. Cursor automatically discovers skills from directories like .cursor/skills/ and .agents/skills/, decides when they're relevant based on context, and loads their content progressively on demand to keep context usage efficient. You can also invoke skills manually by typing / in Agent chat. Because SKILL.md is an open standard, skills built for Claude Code or Codex CLI also work in Cursor.

How can Cursor Skills improve my resume and career prospects?

Two ways. First, they build genuine competence: skills like code-reviewer, systematic-debugging, and incident-response teach you senior-level engineering practices through daily repetition. Second, they produce evidence: a portfolio with clean commits, professional READMEs, and automated CI/CD demonstrates skills employers are actively screening for. 2026 hiring research shows AI skills carry a 56% wage premium (PwC), AI-literacy job postings grew sevenfold in two years (McKinsey), and 64% of recruiters say hiring managers now request AI skills that didn't exist a year ago (Pin's 2026 survey). Being able to say you orchestrate verified, benchmarked agent workflows — not just prompt a chatbot — is a strong differentiator.

What makes SkillzBench different from skill marketplaces like Agensi or GitHub lists?

SkillzBench is an independent, free directory being built around verification and evidence rather than distribution. Marketplaces and GitHub lists tell you a skill exists and how many people installed it; SkillzBench is being built to tell you whether a skill is safe (security scanning, license checks, commit-SHA-pinned versions) and whether it actually helps (sandboxed benchmarking with the same model, with and without the skill, publishing Lift in percentage points). It also adds a free MCP connector and per-agent loadouts so each agent only sees the skills you chose for it. Money never touches scores — everything is free, funded by advertising around blog content. Note that SkillzBench is pre-launch, so these capabilities describe what's coming at launch.

Are third-party Cursor Skills safe to install?

You should treat them with the same caution as any third-party code. Published research found that roughly 26% of skills carry at least one vulnerability, and community collections — while valuable — aren't independently security-scanned. Best practices: read the SKILL.md and any scripts before installing, prefer skills pinned to specific commits, keep your loadouts minimal so you know exactly what your agent can see, and use verification-first resources like SkillzBench (once live) to check security scans and Trust scores before loading anything into a work environment.

Do skills built for Claude Code work in Cursor?

Yes, in most cases. Because SKILL.md is an open standard, skills built for Claude Code or Codex CLI generally work in Cursor. Cursor's documentation confirms it also loads skills from Claude and Codex directories (.claude/skills/, .codex/skills/, ~/.claude/skills/, and ~/.codex/skills/) for compatibility. Agensi notes that every skill built for Claude Code or Codex CLI works in Cursor too, though Agensi's own paid skills are delivered through their MCP connection rather than as local files. Minor path or frontmatter adjustments are occasionally needed.

Which skills should a job seeker start with in 2026?

Start with a review skill (code-reviewer), a documentation skill (readme-generator), and a commit-hygiene skill (git-commit-writer) — together they polish the public artifacts recruiters actually look at. Then add a debugging skill like env-doctor or truth-first to build the AI-verification discipline employers now expect. Finally, learn /create-skill so you can package your own repeated workflows as reusable skills — that's the capability that turns you from a tool user into an agent builder, which is where the strongest 2026 hiring demand sits. As your collection grows, use a directory like SkillzBench to keep it verified, benchmarked, and current.