Agent skill

Skill Gap Analysis

by sickn33 in sickn33/agentic-awesome-skills

Skill gap register: employee, skill area, current against required level, gap severity and recommended training.

MITAuto-check passed

Install Skill Gap Analysis

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill skill-gap-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills skill-gap-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-gap-analysis .claude/skills/skill-gap-analysis && rm -rf skills-src

Use ~/.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/

Facts

Skill name
skill-gap-analysis
GitHub stars
47k
Used in
1 other repo
Token cost
~3.6k tokens
SKILL.md length
1,389 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

Skill gap register: employee, skill area, current against required level, gap severity and recommended training.

  • Works in 5 steps: Identify intent → Ask only what is missing → Hold the internal context → …
  • Capability planning
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Field Reference, plus 9 more sections
  • Reaches json-schema.org

What it does

Skill Gap Analysis is an agent skill from sickn33/agentic-awesome-skills. Skill gap register: employee, skill area, current against required level, gap severity and recommended training. Use for capability planning.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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.

When your agent uses it

  • Capability planning

Example prompts

  • “/skill-gap-analysis”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Identify intent
  2. Ask only what is missing
  3. Hold the internal context
  4. Recommend the smallest workflow
  5. Build only on request

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. 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 (its code samples are yaml, csv, sql, json and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • json-schema.org

    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

Skill Gap Analysis loads about 3.6k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 1,389 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

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 sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 1,389 words, ~3,611 tokens.

Download SKILL.mdSave it as .claude/skills/skill-gap-analysis/SKILL.md (or your agent's skills folder).
name
skill-gap-analysis
description
Skill gap register: employee, skill area, current against required level, gap severity and recommended training. Use for capability planning.
category
business
risk
safe
source
self
source_type
self
date_added
2026-09-26
author
WHOISABHISHEKADHIKARI
tags
sme, business, operations, database, csv, notion, sql, develop
source_repo
WHOISABHISHEKADHIKARI/sme-ops-system-builder

Skill Gap Analysis

What it is: Skill identification.

Overview

Works out the smallest useful Skill Gap Analysis setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.

Layer: Layer 5: Develop. Fits: Growth stage. Table code: n/a.

When to Use This Skill

  • skill gap analysis
  • training needs analysis
  • capability gap tracker
  • skills assessment

Also use it when the user says "skill identification", or describes the same process happening in a spreadsheet, a document or someone inboxes.

Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.

How It Works

Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.

Step 1 - Identify intent

Read the request and pick the intent before asking anything.

  • "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
  • "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
  • "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
  • "how do I ..." -> advice question; answer directly and offer the build only if it helps.

Ask only if this is the highest-value missing fact; otherwise proceed without an opener:

Q: Which roles have the biggest gaps?

Step 2 - Ask only what is missing

Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.

  • Scope - Team or individual? / Which roles? / How many people?
  • Baseline - Current level known? / Target level? / Who assessed?
  • Action - Training or reassignment? / Who pays? / By when?
  • Current process - Is this captured now? / In reviews? / Linked to training?
  • Outcome - What do you need? / A gap register, a plan or both?

Never invent an answer. If the user does not know, record it as unknown and carry on.

Step 3 - Hold the internal context

Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.

yaml
module: skill-gap-analysis
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Scope": null
  "Baseline": null
  "Action": null
  "Current process": null
  "Outcome": null
requested_outputs: []   # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: []     # only what the user actually said
open_questions: []      # the unanswered ones, in the order worth asking
Step 4 - Recommend the smallest workflow

If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.

Recommended approach: Record the gap, the target and a date, then link it to a training request. Severity only matters if it drives priority.

Why this one: Gaps without an owner and a date become a spreadsheet nobody acts on. Force an owner and a target date at entry.

Workflow: Assess → Gap → Severity → Owner and target date → Training request

Step 5 - Build only on request

Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.

A selected Notion output is rendered by notion-manual-import, so route the Notion step there. When the user selects Notion, hand that step to @notion-manual-import: it holds the CSV, the property mapping, the import steps and the verification checklist, and it renders the Field Reference below instead of defining a table of its own. Do not restate the mapping here and do not improvise the import steps. Manual CSV and mapping outputs need no connection. For requested workspace changes, follow the shared contract: verify actual tool access and the target before writing. A user saying "connected" is not tool evidence. Never ask for a Notion password or token.

For an Excel-compatible CSV, use UTF-8 with a byte order mark so Excel opens the text correctly. A CSV is not an .xlsx workbook; create .xlsx only when the user requests a workbook. A CSV carries no types, so after it, name the columns that need a number, date or currency format applied.

csv
Skill Gap Record,Assessment Date,Current Level,Department,Employee Name,Gap Severity,Notes,Recommended Training,Course Requests,Required Level,Skill Area,Skill ID,Status,Target Date
Advanced SQL,2026-01-15,1 - Beginner,Delivery,Aarav Sharma,Low,Gap list agreed with the team in February; the training budget does not yet cover it.,"Advanced SQL for analysts, six hours self-paced.",CRS-2026-018,1 - Beginner,SQL,,Planned,2026-01-15
sql
CREATE TABLE skill_gap_analysis (
  skill_gap_record VARCHAR(255),
  assessment_date DATE NOT NULL,
  current_level VARCHAR(100) NOT NULL,
  department VARCHAR(255),
  employee_name VARCHAR(255),
  gap_severity VARCHAR(100) NOT NULL,
  notes TEXT,
  recommended_training VARCHAR(255),
  course_requests VARCHAR(255),
  required_level VARCHAR(100) NOT NULL,
  skill_area VARCHAR(255),
  skill_id SERIAL PRIMARY KEY,
  status VARCHAR(100) NOT NULL,
  target_date DATE NOT NULL,
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

CREATE INDEX idx_skill_gap_analysis_status ON skill_gap_analysis (status);
json
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "Skill Gap Analysis",
  "type": "object",
  "additionalProperties": false,
  "properties": {
      "Skill Gap Record": { "type": "string" },
      "Assessment Date": { "type": "string", "format": "date" },
      "Current Level": { "type": "string" },
      "Department": { "type": "string" },
      "Employee Name": { "type": "string" },
      "Gap Severity": { "type": "string" },
      "Notes": { "type": "string" },
      "Recommended Training": { "type": "string" },
      "Course Requests": { "type": "string" },
      "Required Level": { "type": "string" },
      "Skill Area": { "type": "string" },
      "Skill ID": { "type": "integer" },
      "Status": { "type": "string" },
      "Target Date": { "type": "string", "format": "date" }
  },
  "required": [
      "Assessment Date",
      "Current Level",
      "Gap Severity",
      "Required Level",
      "Status",
      "Target Date"
  ]
}
markdown
| CSV column | Notion property | Set after import |
|---|---|---|
| Skill Gap Record | Title | Use as the database title |
| Assessment Date | Date | Convert to Date |
| Current Level | Select (add options after import) | Convert to Select, add options: "1 - Beginner", "2 - Basic", "3 - Proficient", "4 - Advanced", "5 - Expert" |
| Department | Text | Leave as Text |
| Employee Name | Text | Leave as Text |
| Gap Severity | Select (add options after import) | Convert to Select, add options: "Low", "Medium", "High", "Critical" |
| Notes | Text | Leave as Text |
| Recommended Training | Text | Leave as Text |
| Course Requests | Text | Leave as Text |
| Required Level | Select (add options after import) | Convert to Select, add options: "1 - Beginner", "2 - Basic", "3 - Proficient", "4 - Advanced", "5 - Expert" |
| Skill Area | Text | Leave as Text |
| Skill ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |
| Status | Select (add options after import) | Convert to Select, add options: "Identified", "Planned", "In Training", "Closed" |
| Target Date | Date | Convert to Date |

The rows above are documentation examples only. Emit empty templates unless the user explicitly requests examples. Money stays currency, dates stay date, and anything pointing at another table stays relation.

Field Reference

#FieldTypeSQLJSON SchemaNotionCSV example
1Skill Gap RecordtextVARCHAR(255)stringTextAdvanced SQL
2Assessment DatedateDATEstring, format: dateDate2026-01-15
3Current LevelselectVARCHAR(100)stringSelect (add options after import)1 - Beginner
4DepartmenttextVARCHAR(255)stringTextDelivery
5Employee NametextVARCHAR(255)stringTextAarav Sharma
6Gap SeverityselectVARCHAR(100)stringSelect (add options after import)Low
7Noteslong_textTEXTstringTextGap list agreed with the team in February; the training budget does not yet cover it.
8Recommended TrainingtextVARCHAR(255)stringTextAdvanced SQL for analysts, six hours self-paced.
9Course RequeststextVARCHAR(255)stringTextCRS-2026-018
10Required LevelselectVARCHAR(100)stringSelect (add options after import)1 - Beginner
11Skill AreatextVARCHAR(255)stringTextSQL
12Skill IDidSERIAL PRIMARY KEYintegerText (preserve source ID)(blank)
13StatusselectVARCHAR(100)stringSelect (add options after import)Planned
14Target DatedateDATEstring, format: dateDate2026-01-15
Show full SKILL.md (493 more words)Show less

Select Options

Current Level

1 - Beginner | 2 - Basic | 3 - Proficient | 4 - Advanced | 5 - Expert

Gap Severity

Low | Medium | High | Critical

Required Level

1 - Beginner | 2 - Basic | 3 - Proficient | 4 - Advanced | 5 - Expert

Status

Identified | Planned | In Training | Closed

Relations

Link fields: none

Examples

Prompt

We know delivery is weak on SQL but have not prioritised training.

Context first - one question per message, nothing already answered:

Q: Team or individual? A: Team.

Q: Target level? A: Advanced.

Q: Do you have a plan? A: No.

Recommended next step - offered, not built:

Record the gap, the target and a date, then link it to a training request. Severity only matters if it drives priority.

Workflow: Assess → Gap → Severity → Owner and target date → Training request

Want the CSV, SQL, JSON Schema and Notion mapping for this?

Best Practices

  • Build when requested; recommend and offer a build for advice-only requests.
  • One question per message. A batched intake reads as a form and gets guessed at.
  • Keep display names identical across CSV and JSON; document normalized SQL identifiers.
  • Use relation for anything that points at another table, text only for free text.
  • Money fields are currency, never text. Dates are date, never free text.
  • If the user requests an example row, keep it obviously fake so nobody imports it as real data.

Limitations

  • Empty template only. It does not compute payroll, tax, leave balances or KPIs.
  • Notion relations need both databases imported before the link column resolves.
  • Select options are a starting set. Rename them to match how the business talks.
  • No automation, reminders or sync. Those need the integration layer.
  • Does not assess skills or deliver training.
  • Legal, tax and HR review is still required before this drives real decisions.

Security & Safety Notes

  • Never fill in real names, salaries, medical or banking data. Placeholders only.
  • Label example rows as synthetic, and keep bank details masked.
  • Local reads, generation commands, and validation are part of a requested artifact build. External writes, messages, provisioning, and publication require authorization for that action and target; existing explicit authorization does not need to be repeated.
  • If sensitive data is supplied, avoid repeating unnecessary identifiers. Use only what the requested review needs; keep generated templates empty. Do not claim deletion from the conversation or service storage.
  • Privacy, legal and disciplinary cases need a qualified human reviewer before anything is acted on.

Common Pitfalls

  • Problem: a static mapping is described as a completed workspace build. Solution: deliver manual mappings without a connection; claim a live change only after the authorized tool operation succeeds.
  • Problem: asked all six questions in one message. Solution: ask one, wait, and drop any the first answer already covered.
  • Problem: built a full system when one table was asked for. Solution: build what was requested; mention the parent skill separately.
  • Problem: all four artifacts drift apart. Solution: derive all four from the field list in this file, never by hand.
  • Problem: Notion import shows every column as Text. Solution: that is expected. Apply the property mapping table once, after import.

Reusable Prompt

I want to set up skill identification for my company.
Ask me one short question at a time, and only about what I have not already told you.
Then recommend the smallest setup that fits, and wait for me to ask before you build it.
When I ask, output CSV, SQL DDL, JSON Schema, a Notion property mapping or an Excel workbook. Data only.

© sickn33, 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 skills/skill-gap-analysis of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

Used in 1 other repository

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.

Compare with similar skills

Skill Gap Analysis 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 Gap Analysis compared with similar skills
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Skill Gap Analysis this skillsickn33/agentic-awesome-skills47k1 repos~3.6kAutomated safety check: PassMIT
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Gapsanthropics/claude-for-legal9.6k2 repos~229Automated safety check: PassApache-2.0
Iot Registerruvnet/ruflo74k—~263Automated safety check: PassMIT
Aria Required Attrthedaviddias/Front-End-Checklist74k—~459Automated safety check: PassMIT
Aria Required Parentthedaviddias/Front-End-Checklist74k—~498Automated safety check: PassMIT

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Questions about Skill Gap Analysis

What does Skill Gap Analysis do?

Skill gap register: employee, skill area, current against required level, gap severity and recommended training. Skill Gap Analysis is an agent skill from sickn33/agentic-awesome-skills. Skill gap register: employee, skill area, current against required level, gap severity and recommended training.

When should I use Skill Gap Analysis?

Skill Gap Analysis fits situations like: capability planning.

How do I install Skill Gap Analysis in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill skill-gap-analysis -a claude-code`. Or copy the skill folder (skills/skill-gap-analysis in sickn33/agentic-awesome-skills) into .claude/skills/skill-gap-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Skill Gap Analysis in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill skill-gap-analysis -a codex`. Or copy the skill folder (skills/skill-gap-analysis in sickn33/agentic-awesome-skills) into .agents/skills/skill-gap-analysis in your project. Codex loads it when a task matches its description.

Can I use Skill Gap Analysis 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 sickn33/agentic-awesome-skills --skill skill-gap-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-gap-analysis, .gemini/skills/skill-gap-analysis, .github/skills/skill-gap-analysis and .opencode/skills/skill-gap-analysis in your project.

What does Skill Gap Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Gap Analysis is instructions for the agent only.

Does Skill Gap Analysis access the network?

SKILL.md names 1 domain. In commands or code: json-schema.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Skill Gap Analysis 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 Skill Gap Analysis use?

Skill Gap Analysis 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 Skill Gap Analysis use?

About 3.6k tokens (SKILL.md is roughly 14k 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 Skill Gap Analysis?

Skills that share tags, products or a category with Skill Gap Analysis: Requirements (rizsotto/Bear, 6.5k stars), Gaps (anthropics/claude-for-legal, 9.6k stars), Iot Register (ruvnet/ruflo, 74k stars) and Aria Required Attr (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Gap Analysis?

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.