Agent skill

Offer Appointment

by sickn33 in sickn33/agentic-awesome-skills

Offer register: candidate, position, department, employment type, offered salary and currency, offer date and expiry, joining date, probation, approver and sign-off.

MITAuto-check passed

Install Offer Appointment

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill offer-appointment -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills offer-appointment --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/offer-appointment .claude/skills/offer-appointment && 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
offer-appointment
GitHub stars
47k
Used in
1 other repo
Token cost
~3.9k tokens
SKILL.md length
1,423 words
Files
1
Skills in repo
1,493
Repo updated
First seen
Licence
MIT

At a glance

Offer register: candidate, position, department, employment type, offered salary and currency, offer date and expiry, joining date, probation, approver and sign-off.

  • Works in 5 steps: Identify intent → Ask only what is missing → Hold the internal context → …
  • 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

Offer Appointment is an agent skill from sickn33/agentic-awesome-skills. 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.

Its SKILL.md is about 3.9k 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.

Example prompts

  • “/offer-appointment”

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 680176d. 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

Offer Appointment loads about 3.9k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,423 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

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 680176d, republished under its MIT licence (© sickn33). 1,423 words, ~3,893 tokens.

Download SKILL.mdSave it as .claude/skills/offer-appointment/SKILL.md (or your agent's skills folder).
name
offer-appointment
description
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.
category
business
risk
safe
source
self
source_type
self
date_added
2026-09-26
author
WHOISABHISHEKADHIKARI
tags
sme, business, operations, database, csv, notion, sql, onboard
source_repo
WHOISABHISHEKADHIKARI/sme-ops-system-builder

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.

yaml
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 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: 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: Approved offer → Offer sent → Candidate accepts → Record created → 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 ](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.

csv
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,2026-01-15,2026-02-01,2026-01-15,90,Sneha Iyer,DocuSign,Offered,Offer discussed in February and accepted; the start date depends on the notice period.,
sql
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 NOT NULL,
  probation_period_days NUMERIC NOT NULL,
  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);
json
{
  "$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": "number" },
      "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",
      "Joining Date",
      "Probation Period (Days)",
      "Status"
  ]
}
markdown
| 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 anything pointing at another table stays relation.

Field Reference

#FieldTypeSQLJSON SchemaNotionCSV example
1Offer TitletextVARCHAR(255)stringTextDelivery Manager
2Candidate NametextVARCHAR(255)stringTextKaran Malhotra
3Recruitment RecordrelationVARCHAR(255)stringRelation (link to the target database)REC-2026-031
4PositiontextVARCHAR(255)stringTextDelivery Manager
5DepartmenttextVARCHAR(255)stringTextDelivery
6Grade LevelselectVARCHAR(100)stringSelect (add options after import)L1
7Employment TypeselectVARCHAR(100)stringSelect (add options after import)Full Time
8Offered SalarycurrencyNUMERIC(14,2)numberNumber (format: currency)1450000.00
9CurrencytextVARCHAR(255)stringTextINR
10Offer DatedateDATEstring, format: dateDate2026-01-15
11Offer ExpirydateDATEstring, format: dateDate2026-02-01
12Joining DatedateDATEstring, format: dateDate2026-01-15
13Probation Period (Days)numberNUMERICnumberNumber90
14ApprovertextVARCHAR(255)stringTextSneha Iyer
15Signed ViatextVARCHAR(255)stringTextDocuSign
16StatusselectVARCHAR(100)stringSelect (add options after import)Offered
17Noteslong_textTEXTstringTextOffer discussed in February and accepted; the start date depends on the notice period.
18Offer IDidSERIAL PRIMARY KEYintegerText (preserve source ID)(blank)
Show full SKILL.md (498 more words)Show less

Select Options

Grade Level

L1 | L2 | L3 | L4 | L5 | M1 | M2

Employment Type

Full Time | Part Time | Contract | Intern | Consultant

Status

Draft | Offered | Negotiation | Accepted | Declined | Withdrawn | Joined

Relations

Link fields: Recruitment Record

Examples

Prompt

We make offers over email and then re-type everything into payroll.

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

Q: Probation length? A: 6 months.

Q: Who approves? A: The owner.

Q: How many offers? A: Two or three a month.

Recommended next step - offered, not built:

Store the offer as a record with version, approver and expiry. The template is secondary; the record is what you lose today.

Workflow: Approved offer → Offer sent → Candidate accepts → Record created → Onboarding started

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 generate contracts or send legally binding documents.
  • 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 formal hiring record 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/offer-appointment of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 680176d

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

Offer Appointment 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.

Offer Appointment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Offer Appointment this skillsickn33/agentic-awesome-skills47k1 repos~3.9kAutomated safety check: PassMIT
Positioning Ideasphuryn/pm-skills27k—~751Automated safety check: PassMIT
Gtm Positioning Strategygithub/awesome-copilot40k1 repos~3.5kAutomated safety check: PassMIT
Iot Registerruvnet/ruflo74k—~263Automated safety check: PassMIT
Positioning Icptech-leads-club/agent-skills7k—~6.9kAutomated safety check: PassCustom licence
Positionsalsk1992/CloddsBot2.9k—~1.5kAutomated safety check: PassMIT

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Questions about Offer Appointment

What does Offer Appointment do?

Offer register: candidate, position, department, employment type, offered salary and currency, offer date and expiry, joining date, probation, approver and sign-off. Offer Appointment is an agent skill from sickn33/agentic-awesome-skills. Offer register: candidate, position, department, employment type, offered salary and currency, offer date and expiry, joining date, probation, approver and sign-off.

How do I install Offer Appointment in Claude Code?

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

How do I install Offer Appointment in Codex?

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

Can I use Offer Appointment 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 offer-appointment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/offer-appointment, .gemini/skills/offer-appointment, .github/skills/offer-appointment and .opencode/skills/offer-appointment in your project.

What does Offer Appointment need to run?

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

Does Offer Appointment 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 Offer Appointment 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 Offer Appointment use?

Offer Appointment 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 Offer Appointment use?

About 3.9k tokens (SKILL.md is roughly 16k 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 Offer Appointment?

Skills that share tags, products or a category with Offer Appointment: Positioning Ideas (phuryn/pm-skills, 27k stars), Gtm Positioning Strategy (github/awesome-copilot, 40k stars), Iot Register (ruvnet/ruflo, 74k stars) and Positioning Icp (tech-leads-club/agent-skills, 7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Offer Appointment?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 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.