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disciplinary-pip-tracker

Lets your agent record and track performance improvement cases. It helps set goals and dates for professional development. This ensures employees get the support they need.

What it does

This agent helps organize information for disciplinary or performance improvement cases. It can create templates to record details like case type, improvement goals, key dates, and the final outcome.

When to use it

  • ✓When you need to start a performance improvement plan (PIP).
  • ✓To log misconduct or performance issues.
  • ✓When setting up a performance tracking record.

Example of what to ask your AI

“I need to set up a tracker for a performance improvement plan for an employee.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/disciplinary-pip-tracker/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/disciplinary-pip-tracker/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It gathers essential case information, such as what happened, who is involved, and the goals. Then, it can generate a template in spreadsheet (CSV) or database (SQL) format for you to fill in.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill disciplinary-pip-tracker

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/disciplinary-pip-tracker/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Disciplinary & PIP Tracker

What it is: Performance issues.

Overview

Works out the smallest useful Disciplinary & PIP 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 4: Manage. Fits: Growth stage. Table code: n/a.

When to Use This Skill

  • performance improvement plan
  • pip tracker
  • disciplinary record
  • misconduct case log

Also use it when the user says "performance issues", 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: What triggered this conversation?

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.

  • Case - What happened? / First case or pattern? / Policy broken which one?
  • Process - Formal or informal? / Stages? / Who owns the case?
  • Records - Who is in the loop? / Written record kept? / Evidence stored where?
  • Current process - How do you handle it now? / Spreadsheet or memory? / What breaks?
  • Outcome - What do you need? / A case record, a plan or reporting?

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: disciplinary-pip-tracker
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Case": null
  "Process": null
  "Records": 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: Run this as a documented case with a start, review dates and an outcome, whatever stage the process is at.

Why this one: Disciplinary cases fail on missing dates and missing review points, not on the decision. Store the timeline, not opinions.

Workflow: Case opened → Goals and review date → Review → Outcome → Closure and appeal

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

…

FAQ

Does this agent store employee data?

No, it only creates empty templates for you to fill out. It does not store or process real employee data.

Can I ask it to create an Excel file?

It can generate a CSV file, which can be opened in Excel. It can also generate an SQL file for databases.

Does it give legal advice?

No, this agent does not offer legal advice. It focuses solely on organizing case information.

Details

Original description by the author

Disciplinary and performance-improvement case register: case type, linked review or issue, improvement goals, review dates, outcome and confidentiality. Use for PIP tracking.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2846
License
MIT
Updated
10/15/2026

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