Skip to content
Agentmart
Submit a tool

alumni-re-hire-tracker

Alumni and re-hire register: former role, last working day, re-hire eligibility, current employer and re-engagement date, as CSV, SQL, JSON Schema or Notion…

Skill by sickn33

IndexedMIT★ 48,428
Write a review

Chalk Labs

Need help deploying alumni-re-hire-tracker?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sickn33-alumni-re-hire-tracker

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Alumni and re-hire register: former role, last working day, re-hire eligibility, current employer and re-engagement date, as CSV, SQL, JSON Schema or Notion on request. Use for alumni outreach.

Use cases: spreadsheets, backend, sales, productivity

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/alumni-re-hire-tracker

What's inside

Skill name
alumni-re-hire-tracker
Description
Alumni and re-hire register: former role, last working day, re-hire eligibility, current employer and re-engagement date, as CSV, SQL, JSON Schema or Notion on request. Use for alumni outreach.
License
MIT
Instructions
295 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Alumni & Re-hire Tracker

**What it is:** Former employees.

## Overview

Works out the smallest useful **Alumni & Re-hire 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 10: Exit. Fits: Scale stage. Table code: n/a.

## When to Use This Skill

- alumni tracker
- rehire tracker
- former employee register
- past employee list

Also use it when the user says "former employees", 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 people have left the company?

### 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.

- **Alumni** - How many ex-employees? / How long ago? / Any warm contacts?
- **Fit** - Why would you re-hire? / Roles they held? / Skills worth recording?
- **Reach** - How do you stay in touch? / Any consent on file? / How often to check in?
- **Current process** - Is anything recorded? / LinkedIn or a sheet? / What gets missed?
- **Outcome** - What do you need? / An alumni register, a re-hire view 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: alumni-re-hire-tracker
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Alumni": null
  "Fit": null
  "Reach": 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:** Keep a small alumni record with the exit date, the role held and one line on why they left, and revisit it only when a role opens.

**Why this one:** Alumni records are only worth maintaining if something triggers a revisit. Tie it to open roles instead of a standing newsletter.

**Workflow:** Departure recorded → Details kept → Re-hire considered when a role opens → Rejoined or contacted

### 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
Alumni Name,Former Department,Former Job Title,Last Working Day,Rehire Eligible,Personal Email,LinkedIn,Current Company,Last Contact,Re-engage Date,Notes,Alumni ID
Example Person,Delivery,Delivery Manager,2026-03-31,TRUE,person@example.com,https://example.com/in/example-person,Example Company,2026-01-20,2026-07-01,"Reached out in February; interested in returning once the current notice period ends.",
```

```sql
CREATE TABLE alumni_re_hire_tracker (
  alumni_name VARCHAR(255),
  former_department VARCHAR(255),
  former_job_title VARCHAR(255),
  last_working_day DATE NOT NULL,

From sickn33/agentic-awesome-skills, MIT.

More from sickn33/agentic-awesome-skills

Signals

Stars
48,428
Forks
7,039
Open issues
0
Last commit (this folder)
Oct 24, 2026 (6 days ago)
Last release
Oct 24, 2026 (6 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from sickn33

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get alumni-re-hire-tracker running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying alumni-re-hire-tracker?

CallGet help
Cite this page

alumni-re-hire-tracker skill. Agent Mart. https://agentmart.dev/skills/sickn33-alumni-re-hire-tracker (last updated 2026-10-24)