offer-appointment – Other skill for AI agents
Offer register: candidate, position, department, employment type, offered salary and currency, offer date and expiry, joining date, probation, approver and sign-off. Use for offer tracking.
Install the offer-appointment 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/offer-appointment-7863a.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /offer-appointment – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/offer-appointment-7863a.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $offer-appointment – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/offer-appointment-7863a.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /offer-appointment – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/offer-appointment-7863a.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /offer-appointment – then describe the task you want done.
SKILL.md content
Offer & Appointment
What it is: Formal hiring record.
Overview
Works out the smallest useful Offer & Appointment 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
- offer letter tracker
- appointment letter record
- hiring offer database
- new hire offer log
Also use it when the user says "formal hiring record", 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 many offers do you make a month?
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.
- Offer - How many offers? / Fixed or variable pay? / Any equity?
- Terms - Probation length? / Notice period? / Joining date fixed?
- Process - Who approves? / Signed how? / Template or custom?
- Current process - How are offers sent? / Docs or email? / Where stored?
- Outcome - What do you need? / A record, a template 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: offer-appointment
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"Offer": null
"Terms": 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: Store the offer as a record with version, approver and expiry. The template is secondary; the record is what you lose today.
Why this one: Offer data is the bridge between recruiting and payroll. Capturing it once, at offer stage, prevents re-keying at joining.
Workflow: Draft record created → Offer approved → Offer sent → Candidate decision recorded → Onboarding started
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](https://github.com/sickn33/agentic-awesome-skills/blob/main/skills/notion-manual-import/SKILL.md): 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.
Offer Title,Candidate Name,Recruitment Record,Position,Department,Grade Level,Employment Type,Offered Salary,Currency,Offer Date,Offer Expiry,Joining Date,Probation Period (Days),Approver,Signed Via,Status,Notes,Offer ID
Delivery Manager,Karan Malhotra,REC-2026-031,Delivery Manager,Delivery,L1,Full Time,1450000.00,INR,2026-01-15,2026-02-01,,90,Sneha Iyer,DocuSign,Offered,Offer sent and awaiting acceptance; proposed start date remains unconfirmed.,CREATE TABLE offer_appointment (
offer_title VARCHAR(255),
candidate_name VARCHAR(255),
recruitment_record VARCHAR(255), -- relation -> target record
position VARCHAR(255),
department VARCHAR(255),
grade_level VARCHAR(100) NOT NULL,
employment_type VARCHAR(100) NOT NULL,
offered_salary NUMERIC(14,2) NOT NULL,
currency VARCHAR(255),
offer_date DATE NOT NULL,
offer_expiry DATE NOT NULL,
joining_date DATE,
probation_period_days INTEGER NOT NULL CHECK (probation_period_days >= 0),
approver VARCHAR(255),
signed_via VARCHAR(255),
status VARCHAR(100) NOT NULL,
notes TEXT,
offer_id SERIAL PRIMARY KEY,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
CREATE INDEX idx_offer_appointment_status ON offer_appointment (status);{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Offer & Appointment",
"type": "object",
"additionalProperties": false,
"properties": {
"Offer Title": { "type": "string" },
"Candidate Name": { "type": "string" },
"Recruitment Record": { "type": "string" },
"Position": { "type": "string" },
"Department": { "type": "string" },
"Grade Level": { "type": "string" },
"Employment Type": { "type": "string" },
"Offered Salary": { "type": "number" },
"Currency": { "type": "string" },
"Offer Date": { "type": "string", "format": "date" },
"Offer Expiry": { "type": "string", "format": "date" },
"Joining Date": { "type": "string", "format": "date" },
"Probation Period (Days)": { "type": "integer", "minimum": 0 },
"Approver": { "type": "string" },
"Signed Via": { "type": "string" },
"Status": { "type": "string" },
"Notes": { "type": "string" },
"Offer ID": { "type": "integer" }
},
"required": [
"Grade Level",
"Employment Type",
"Offered Salary",
"Offer Date",
"Offer Expiry",
"Probation Period (Days)",
"Status"
]
}| CSV column | Notion property | Set after import |
|---|---|---|
| Offer Title | Title | Use as the database title |
| Candidate Name | Text | Leave as Text |
| Recruitment Record | Relation (link to the target database) | Convert to Relation, link to the target database |
| Position | Text | Leave as Text |
| Department | Text | Leave as Text |
| Grade Level | Select (add options after import) | Convert to Select, add options: "L1", "L2", "L3", "L4", "L5", "M1", "M2" |
| Employment Type | Select (add options after import) | Convert to Select, add options: "Full Time", "Part Time", "Contract", "Intern", "Consultant" |
| Offered Salary | Number (format: currency) | Convert to Number, set format to Currency |
| Currency | Text | Leave as Text |
| Offer Date | Date | Convert to Date |
| Offer Expiry | Date | Convert to Date |
| Joining Date | Date | Convert to Date |
| Probation Period (Days) | Number | Convert to Number |
| Approver | Text | Leave as Text |
| Signed Via | Text | Leave as Text |
| Status | Select (add options after import) | Convert to Select, add options: "Draft", "Offered", "Negotiation", "Accepted", "Declined", "Withdrawn", "Joined" |
| Notes | Text | Leave as Text |
| Offer ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |The rows above are documentation examples only. Emit empty templates unless the user explicitly requests examples. Money stays currency, dates stay date,
and anythin
… (full content is in the download package)
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