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skill-creator
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skill-gap-analysis【数据与研究】Skill gap register: employee, skill area, current against required level, gap severity and recommended training. Use for capability planning.
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What it is: Skill identification.
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.
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.
Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.
Read the request and pick the intent before asking anything.
Ask only if this is the highest-value missing fact; otherwise proceed without an opener:
Q: Which roles have the biggest gaps?
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.
Never invent an answer. If the user does not know, record it as unknown and carry on.
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.
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
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
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.
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
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);
{
"$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"
]
}
| 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 | Type | SQL | JSON Schema | Notion | CSV example |
|---|---|---|---|---|---|---|
| 1 | Skill Gap Record | text | VARCHAR(255) | string | Text | Advanced SQL |
| 2 | Assessment Date | date | DATE | string, format: date | Date | 2026-01-15 |
| 3 | Current Level | select | VARCHAR(100) | string | Select (add options after import) | 1 - Beginner |
| 4 | Department | text | VARCHAR(255) | string | Text | Delivery |
| 5 | Employee Name | text | VARCHAR(255) | string | Text | Aarav Sharma |
| 6 | Gap Severity | select | VARCHAR(100) | string | Select (add options after import) | Low |
| 7 | Notes | long_text | TEXT | string | Text | Gap list agreed with the team in February; the training budget does not yet cover it. |
| 8 | Recommended Training | text | VARCHAR(255) | string | Text | Advanced SQL for analysts, six hours self-paced. |
| 9 | Course Requests | text | VARCHAR(255) | string | Text | CRS-2026-018 |
| 10 | Required Level | select | VARCHAR(100) | string | Select (add options after import) | 1 - Beginner |
| 11 | Skill Area | text | VARCHAR(255) | string | Text | SQL |
| 12 | Skill ID | id | SERIAL PRIMARY KEY | integer | Text (preserve source ID) | (blank) |
| 13 | Status | select | VARCHAR(100) | string | Select (add options after import) | Planned |
| 14 | Target Date | date | DATE | string, format: date | Date | 2026-01-15 |
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
Link fields: none
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?
relation for anything that points at another table, text only for free text.currency, never text. Dates are date, never free text.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.