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Skill Gap Analyzer

Checked
exploration-labs·vlatest·other

This Skill Gap Analyzer identifies skills you lack compared to desired roles, helping you prioritize learning and development for career growth.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add exploration-labs/nates-substack-skills --skill skill-gap-analyzer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

exploration-labs

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned exploration-labs/nates-substack-skills at 61c6afd747.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
61c6afd747
Manifest
skill-gap-analyzer/SKILL.md
Scanned
1 file, 208 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Skill Gap Analyzer identifies discrepancies between desired and actual skill levels, providing a structured assessment. It can evaluate skills based on provided criteria or suggest relevant evaluation metrics. The tool aims to pinpoint areas where training or development is needed to bridge the gap.

When to use it

  • Performance Reviews: Use it to objectively assess employee performance against defined skill requirements for a role.
  • Training Needs Analysis: Identify specific skills that need improvement within a team before implementing a new training program.
  • Career Development Planning: Help individuals understand their current skillset and areas where they can grow professionally.
  • Project Staffing: Determine if a project team possesses the necessary skills to successfully complete a task.

Key capabilities

  • Skill assessment based on provided criteria.
  • Suggestion of relevant evaluation metrics.
  • Identification of skill gaps.
  • Structured reporting of findings.

Example prompts

  • "Analyze my team's proficiency in Python programming against the requirements for a data science role."
  • "What are some key metrics to evaluate an employee’s project management skills?"
  • "Compare my current marketing skillset with what is needed for a digital marketing specialist position."

Tips & gotchas

The accuracy of the analysis depends heavily on the quality and specificity of the criteria provided. Ensure you have clear definitions of both desired and existing skill levels for optimal results.