Agent skill

Kpi Tracker

by sickn33 in sickn33/agentic-awesome-skills

KPI register: metric by level, department, job title and employee, linked OKR, unit and direction, target against actual, achievement and weight percentages, period and owner.

MITAuto-check passedBusiness, Finance & HR

Install Kpi Tracker

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill kpi-tracker -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills kpi-tracker --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/kpi-tracker .claude/skills/kpi-tracker && 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
kpi-tracker
GitHub stars
47k
Used in
1 other repo
Token cost
~3.6k tokens
SKILL.md length
1,404 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

KPI register: metric by level, department, job title and employee, linked OKR, unit and direction, target against actual, achievement and weight percentages, period and owner.

  • Works in 5 steps: Identify intent → Ask only what is missing → Hold the internal context → …
  • Tasks that involve OKRs and executive reporting
  • 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

Kpi Tracker is an agent skill from sickn33/agentic-awesome-skills. KPI register: metric by level, department, job title and employee, linked OKR, unit and direction, target against actual, achievement and weight percentages, period and owner. Use for scorecards.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering OKRs and executive reporting. 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.

When your agent uses it

  • Tasks that involve OKRs and executive reporting

Example prompts

  • “/kpi-tracker”

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 ec02547. 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

Kpi Tracker loads about 3.6k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,404 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
~3.6k

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 ec02547, republished under its MIT licence (© sickn33). 1,404 words, ~3,644 tokens.

Download SKILL.mdSave it as .claude/skills/kpi-tracker/SKILL.md (or your agent's skills folder).
name
kpi-tracker
description
KPI register: metric by level, department, job title and employee, linked OKR, unit and direction, target against actual, achievement and weight percentages, period and owner. Use for scorecards.
category
business
risk
safe
source
self
source_type
self
date_added
2026-09-26
author
WHOISABHISHEKADHIKARI
tags
sme, business, operations, database, csv, notion, sql, manage
source_repo
WHOISABHISHEKADHIKARI/sme-ops-system-builder

KPI Tracker

What it is: KPIs by company, department, role and person with targets and actuals.

Overview

Works out the smallest useful KPI 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

  • kpi tracker
  • kpi dashboard spreadsheet
  • target vs actual
  • performance metrics tracker

Also use it when the user says "kpis by company, department, role and person with targets and actuals", 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: Which KPIs matter most?

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.

  • Metrics - Which KPIs? / Company or team level? / How many to start?
  • Shape - Target and actual? / Unit and direction? / Weight or equal?
  • Cadence - How often reviewed? / Who reviews? / Data source?
  • Current process - How do you track today? / Spreadsheet or dashboard? / Is it trusted?
  • Outcome - What do you need? / A tracker, a dashboard or scoring?

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: kpi-tracker
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Metrics": null
  "Shape": null
  "Cadence": 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: Start with three to five metrics per level and a fixed review cadence. Weighting only matters when scores are compared across people.

Why this one: KPI trackers fail from volume, not from schema. Fewer metrics reviewed on a schedule beats a full scorecard nobody opens.

Workflow: KPI definition → Target → Actual entry → Achievement → Review meeting

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
KPI Name,KPI Level,Department,Job Title,Employee Name,Linked OKR,Unit,Direction,Target,Actual,Achievement %,Weight %,Weighted Score,Period,Data Source,Owner,Status,KPI ID
On-time delivery,Company,Delivery,Delivery Manager,Aarav Sharma,OKR-2026-Q1-02,Percent,Higher is better,95,88,93,30,4.1,2026-03,Manual,Sneha Iyer,Active,
sql
CREATE TABLE kpi_tracker (
  kpi_name VARCHAR(255),
  kpi_level VARCHAR(100) NOT NULL,
  department VARCHAR(255),
  job_title VARCHAR(255),
  employee_name VARCHAR(255),
  linked_okr VARCHAR(255),  -- relation -> target record
  unit VARCHAR(255),
  direction VARCHAR(255),
  target NUMERIC NOT NULL,
  actual NUMERIC NOT NULL,
  achievement_pct NUMERIC NOT NULL,
  weight_pct NUMERIC NOT NULL,
  weighted_score NUMERIC NOT NULL,
  period VARCHAR(255),
  data_source VARCHAR(255),
  owner VARCHAR(255),
  status VARCHAR(100) NOT NULL,
  kpi_id SERIAL PRIMARY KEY,
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

CREATE INDEX idx_kpi_tracker_status ON kpi_tracker (status);
json
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "KPI Tracker",
  "type": "object",
  "additionalProperties": false,
  "properties": {
      "KPI Name": { "type": "string" },
      "KPI Level": { "type": "string" },
      "Department": { "type": "string" },
      "Job Title": { "type": "string" },
      "Employee Name": { "type": "string" },
      "Linked OKR": { "type": "string" },
      "Unit": { "type": "string" },
      "Direction": { "type": "string" },
      "Target": { "type": "number" },
      "Actual": { "type": "number" },
      "Achievement %": { "type": "number" },
      "Weight %": { "type": "number" },
      "Weighted Score": { "type": "number" },
      "Period": { "type": "string" },
      "Data Source": { "type": "string" },
      "Owner": { "type": "string" },
      "Status": { "type": "string" },
      "KPI ID": { "type": "integer" }
  },
  "required": [
      "KPI Level",
      "Target",
      "Actual",
      "Achievement %",
      "Weight %",
      "Weighted Score",
      "Status"
  ]
}
markdown
| CSV column | Notion property | Set after import |
|---|---|---|
| KPI Name | Title | Use as the database title |
| KPI Level | Select (add options after import) | Convert to Select, add options: "Company", "Department", "Role", "Individual" |
| Department | Text | Leave as Text |
| Job Title | Text | Leave as Text |
| Employee Name | Text | Leave as Text |
| Linked OKR | Relation (link to the target database) | Convert to Relation, link to the target database |
| Unit | Text | Leave as Text |
| Direction | Text | Leave as Text |
| Target | Number | Convert to Number |
| Actual | Number | Convert to Number |
| Achievement % | Number | Convert to Number |
| Weight % | Number | Convert to Number |
| Weighted Score | Number | Convert to Number |
| Period | Text | Leave as Text |
| Data Source | Text | Leave as Text |
| Owner | Text | Leave as Text |
| Status | Select (add options after import) | Convert to Select, add options: "Draft", "Active", "At Risk", "Retired" |
| KPI 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
1KPI NametextVARCHAR(255)stringTextOn-time delivery
2KPI LevelselectVARCHAR(100)stringSelect (add options after import)Company
3DepartmenttextVARCHAR(255)stringTextDelivery
4Job TitletextVARCHAR(255)stringTextDelivery Manager
5Employee NametextVARCHAR(255)stringTextAarav Sharma
6Linked OKRrelationVARCHAR(255)stringRelation (link to the target database)OKR-2026-Q1-02
7UnittextVARCHAR(255)stringTextPercent
8DirectiontextVARCHAR(255)stringTextHigher is better
9TargetnumberNUMERICnumberNumber95
10ActualnumberNUMERICnumberNumber88
11Achievement %numberNUMERICnumberNumber93
12Weight %numberNUMERICnumberNumber30
13Weighted ScorenumberNUMERICnumberNumber4.1
14PeriodtextVARCHAR(255)stringText2026-03
15Data SourcetextVARCHAR(255)stringTextManual
16OwnertextVARCHAR(255)stringTextSneha Iyer
17StatusselectVARCHAR(100)stringSelect (add options after import)Active
18KPI IDidSERIAL PRIMARY KEYintegerText (preserve source ID)(blank)
Show full SKILL.md (494 more words)Show less

Select Options

KPI Level

Company | Department | Role | Individual

Status

Draft | Active | At Risk | Retired

Relations

Link fields: Linked OKR

Examples

Prompt

We have 20 KPIs in a sheet and nobody reviews them.

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

Q: Which KPIs? A: Delivery on time and CSAT.

Q: How often? A: Monthly.

Q: Who reviews? A: Department heads.

Recommended next step - offered, not built:

Start with three to five metrics per level and a fixed review cadence. Weighting only matters when scores are compared across people.

Workflow: KPI definition → Target → Actual entry → Achievement → Review meeting

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 collect data automatically or connect to a source system.
  • 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 kpis by company, department, role and person with targets and actuals 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/kpi-tracker of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

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

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Kpi Tracker compared with similar skills
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Kpi Tracker this skillsickn33/agentic-awesome-skills47k1 repos~3.6kAutomated safety check: PassMIT
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Pine BacktesterTradersPost/pinescript-agents1701 repos~3.9kAutomated safety check: PassNone
Onboarding Plannerbpinheiroms/dotfiles108—~5.4kAutomated safety check: PassNone
Replit Decksanqiufong/slides-from-anything1321 repos~2.9kAutomated safety check: PassApache-2.0
Building Streamlit Dashboardsiusztinpaul/designing-real-world-ai-agents-workshop513—~1.1kAutomated safety check: PassApache-2.0

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Questions about Kpi Tracker

What does Kpi Tracker do?

KPI register: metric by level, department, job title and employee, linked OKR, unit and direction, target against actual, achievement and weight percentages, period and owner. Kpi Tracker is an agent skill from sickn33/agentic-awesome-skills. KPI register: metric by level, department, job title and employee, linked OKR, unit and direction, target against actual, achievement and weight percentages, period and owner.

When should I use Kpi Tracker?

Kpi Tracker fits situations like: tasks that involve OKRs and executive reporting.

How do I install Kpi Tracker in Claude Code?

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

How do I install Kpi Tracker in Codex?

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

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

What does Kpi Tracker need to run?

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

Does Kpi Tracker 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 Kpi Tracker 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 Kpi Tracker use?

Kpi Tracker 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 Kpi Tracker use?

About 3.6k tokens (SKILL.md is roughly 15k 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 Kpi Tracker?

Skills that share tags, products or a category with Kpi Tracker: Analytics Strategy (rampstackco/claude-skills, 940 stars), Pine Backtester (TradersPost/pinescript-agents, 170 stars), Onboarding Planner (bpinheiroms/dotfiles, 108 stars) and Replit Deck (sanqiufong/slides-from-anything, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kpi Tracker?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 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.