Skill Gap Analysis

VerifiedSafe

Analyze gaps between your current profile and top job postings, producing a heatmap and learning plans for top gaps.

Sby Skills Guide Bot
Data & AIIntermediate
7/27/2026
Claude Code
#skill-gap-analysis#job-matching#career-development#markdown-reporting#csv

Recommended for

Automated summary

Analyzes the gap between the candidate's profile and the highest-scoring job postings, then produces a skill gap heatmap and a learning plan.

Strengths

  • Separates gaps into three tiers: critical, partial, and emerging signals
  • Outputs a markdown table heatmap with learning priority per skill
  • Suggests a concrete learning plan for the top three gaps, including resources and estimated time
  • Can run across all tracked jobs or against a single job posting URL

Limitations

  • Depends on the exact file layout of tracker.csv, application_log.jsonl, and 01-candidate-profile.md
  • Analysis quality is bounded by whatever scoring data already exists in the tracker
  • Does not verify that suggested courses or certifications actually exist
When to use it

Use it when you want to know which skills to build next to better match your target job postings.

When not to use it

Skip it if the tracker is empty and no candidate profile has been written yet, since there is nothing to compare.

Security analysis

Safe
Quality score85/100

The skill only reads local files within a job application workspace and produces analysis. It declares no tools and does not instruct destructive, exfiltrating, or network actions, so there is no meaningful execution risk.

No concerns found

How this analysis is made

Examples

Full gap analysis
/upskill — analyze my skill gaps against all the jobs in my tracker and show me the heatmap.
Single posting
/upskill https://example.com/jobs/senior-data-engineer — what skills am I missing for this role?

/upskill — Skill Gap Analysis

Analyze the gap between Dr. Lalum's current profile and top-scoring job postings.

Steps

  1. Read job_agent/applications/tracker.csv — look at the top 5-10 scored jobs. If tracker is empty, read job_agent/logs/application_log.jsonl instead.

  2. Read job_agent/profile/01-candidate-profile.md for current skills.

  3. For each top job, extract: required skills, preferred qualifications, tools, certifications mentioned.

  4. Compare against the profile. Identify gaps in 3 categories:

    • Critical gaps — frequently required, completely absent from profile
    • Partial gaps — mentioned in profile but at lower depth than required
    • Emerging signals — appearing in 2+ job postings but not yet standard
  5. Produce a skill gap heatmap (markdown table): | Skill | Frequency in jobs | Current level | Gap | Learning priority | |-------|-------------------|---------------|-----|-------------------|

  6. For top 3 gaps, suggest a learning plan:

    • Specific resource (course, book, certification)
    • Estimated time
    • How it strengthens the application narrative

Usage

  • /upskill — analyze against all tracked jobs
  • /upskill <URL> — analyze gap for a specific job posting

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/skill-gap-analysis-ms2s7dh8/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/skill-gap-analysis-ms2s7dh8' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/skill-gap-analysis-ms2s7dh8/download' --output '.skill-downloads/skill-gap-analysis-ms2s7dh8/SKILL.md.part' && mv '.skill-downloads/skill-gap-analysis-ms2s7dh8/SKILL.md.part' '.skill-downloads/skill-gap-analysis-ms2s7dh8/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

This file does not provide a usable name/description header for this native procedure. It remains available to download and inspect; use the manual method below.

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/skill-gap-analysis-ms2s7dh8/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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