probation-tracker – Coding skill for AI agents
Probation register: employee, start and end dates, 30, 60 and 90-day review scores, overall score and confirmation letter. Use for probation tracking.
Install the probation-tracker skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/probation-tracker-432ce.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /probation-tracker – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/probation-tracker-432ce.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $probation-tracker – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/probation-tracker-432ce.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /probation-tracker – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/probation-tracker-432ce.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /probation-tracker – then describe the task you want done.
SKILL.md content
Probation Tracker
What it is: New hire evaluation.
Overview
Works out the smallest useful Probation Tracker 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 3: Onboard. Fits: Growth stage. Table code: n/a.
When to Use This Skill
- probation tracker
- new hire probation review
- 30 60 90 evaluation
- probation confirmation
Also use it when the user says "new hire evaluation", 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: How long is the probation period?
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.
- Who - How many people on probation? / Which roles? / Any extensions?
- Period - Probation length? / Review points? / Confirmation criteria?
- Process - Who reviews? / Who confirms? / Feedback recorded where?
- Current process - How is it tracked now? / Email or memory? / What gets missed?
- Outcome - What do you need? / A tracker, a review form 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.
module: probation-tracker
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"Who": null
"Period": null
"Process": 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 askingStep 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: One record per person with the start date, review dates and the confirmation decision. Keep the criteria attached to the record.
Why this one: Probation reviews get missed because nobody owns the date. A tracker that surfaces the next review is the whole control.
Workflow: Enrolment → First review → Mid review → Final review → Confirmed or extended
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.
Probation Record,30-Day Review Date,30-Day Score,60-Day Review Date,60-Day Score,90-Day Review Date,90-Day Score,Confirmation Letter Issued,Department,Employee Name,End Date,Manager,Mentor / Buddy,Milestones Met,Notes,Overall Score,Probation ID,Start Date,Status
PROB-2026-014,2026-07-01,4,2026-07-31,4,2026-08-30,5,FALSE,Delivery,Aarav Sharma,2026-08-31,Sneha Iyer,Priya Nair + Rohit Verma,FALSE,Synthetic completed reviews; equal-weight mean is 4.33 out of 5.,4.33,,2026-06-01,In ProgressCREATE TABLE probation_tracker (
probation_record VARCHAR(255),
"30_day_review_date" DATE NOT NULL,
"30_day_score" NUMERIC,
"60_day_review_date" DATE NOT NULL,
"60_day_score" NUMERIC,
"90_day_review_date" DATE NOT NULL,
"90_day_score" NUMERIC,
confirmation_letter_issued BOOLEAN NOT NULL,
department VARCHAR(255),
employee_name VARCHAR(255),
end_date DATE NOT NULL,
manager VARCHAR(255),
mentor_buddy VARCHAR(255), -- relation -> target record
milestones_met BOOLEAN NOT NULL,
notes TEXT,
overall_score NUMERIC,
probation_id SERIAL PRIMARY KEY,
start_date DATE NOT NULL,
status VARCHAR(100) NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
CREATE INDEX idx_probation_tracker_status ON probation_tracker (status);{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Probation Tracker",
"type": "object",
"additionalProperties": false,
"properties": {
"Probation Record": { "type": "string" },
"30-Day Review Date": { "type": "string", "format": "date" },
"30-Day Score": { "type": "number" },
"60-Day Review Date": { "type": "string", "format": "date" },
"60-Day Score": { "type": "number" },
"90-Day Review Date": { "type": "string", "format": "date" },
"90-Day Score": { "type": "number" },
"Confirmation Letter Issued": { "type": "boolean" },
"Department": { "type": "string" },
"Employee Name": { "type": "string" },
"End Date": { "type": "string", "format": "date" },
"Manager": { "type": "string" },
"Mentor / Buddy": { "type": "string" },
"Milestones Met": { "type": "boolean" },
"Notes": { "type": "string" },
"Overall Score": { "type": "number" },
"Probation ID": { "type": "integer" },
"Start Date": { "type": "string", "format": "date" },
"Status": { "type": "string" }
},
"required": [
"30-Day Review Date",
"60-Day Review Date",
"90-Day Review Date",
"End Date",
"Confirmation Letter Issued",
"Milestones Met",
"Start Date",
"Status"
]
}| CSV column | Notion property | Set after import |
|---|---|---|
| Probation Record | Title | Use as the database title |
| 30-Day Review Date | Date | Convert to Date |
| 30-Day Score | Number | Convert to Number |
| 60-Day Review Date | Date | Convert to Date |
| 60-Day Score | Number | Convert to Number |
| 90-Day Review Date | Date | Convert to Date |
| 90-Day Score | Number | Convert to Number |
| Confirmation Letter Issued | Checkbox | Convert to Checkbox |
| Department | Text | Leave as Text |
| Employee Name | Text | Leave as Text |
| End Date | Date | Convert to Date |
| Manager | Text | Leave as Text |
| Mentor / Buddy | Relation (link to the target database) | Convert to Relation, link to the target database |
| Milestones Met | Checkbox | Convert to Checkbox |
| Notes | Text | Leave as Text |
| Overall Score | Number | Convert to Number |
| Probation ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |
| Start Date | Date | Convert to Date |
| Status | Select (add options after import) | Convert to Select, add options: "Not Started", "In Progress", "Passed", "Failed", "Extended" |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
| # | Field | Type |
… (full content is in the download package)
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