---

name: okr-system description: 'OKR register: objective, owner and level, department, quarter and year, up to three key results with progress percentages, parent OKR and overall progress. Use for objective 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, manage] tools: [] source_repo: WHOISABHISHEKADHIKARI/sme-ops-system-builder

OKR System

What it is: Goal alignment.

Overview

Works out the smallest useful OKR System 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

• okr tracker
• goal setting template
• objective key result sheet
• company goals tracker

Also use it when the user says "goal alignment", 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 objectives are you setting this quarter?

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.

• Goals - How many objectives? / Company or team first? / Who owns each?
• Shape - Key results each? / Measured how? / Ambitious or committed?
• Cadence - Weekly or monthly check-in? / Who reviews? / Public or internal?
• Current process - How do you set goals now? / Document or meeting? / Is it reviewed?
• Outcome - What do you need? / Goal setting, tracking 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: okr-system
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Goals": 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: Cascade company to team to person, and review progress on a fixed cadence. Three key results per objective is the practical limit.

Why this one: OKRs fail when objectives have no key results or no review date. Enforce both at creation rather than reviewing for them later.

Workflow: Objective → Key results → Owner → Progress update → Review → Close

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.

Objective,Department,End Date,KR1 Progress %,KR2 Progress %,KR3 Progress %,Key Result 1,Key Result 2,Key Result 3,Last Updated,Level,Notes,OKR ID,Owner,Parent OKR,Progress %,Quarter,Start Date,Status,Year
Make delivery predictable,Delivery,2026-09-30,75,60,40,Reduce churn to 4%,Ship 20 client sites,NPS above 50,2026-01-15,L1,Q2 closed at 60 percent; the two weakest key results were carried into the March review.,,Sneha Iyer,OKR-2026-COMPANY,60,Q1,2026-07-01,Active,2026

CREATE TABLE okr_system (
  objective VARCHAR(255),
  department VARCHAR(255),
  end_date DATE NOT NULL,
  kr1_progress_pct NUMERIC NOT NULL,
  kr2_progress_pct NUMERIC NOT NULL,
  kr3_progress_pct NUMERIC NOT NULL,
  key_result_1 VARCHAR(255),
  key_result_2 VARCHAR(255),
  key_result_3 VARCHAR(255),
  last_updated DATE NOT NULL,
  level VARCHAR(100) NOT NULL,
  notes TEXT,
  okr_id SERIAL PRIMARY KEY,
  owner VARCHAR(255),
  parent_okr VARCHAR(255),  -- relation -> target record
  progress_pct NUMERIC NOT NULL,
  quarter VARCHAR(255),
  start_date DATE NOT NULL,
  status VARCHAR(100) NOT NULL,
  year VARCHAR(255),
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

CREATE INDEX idx_okr_system_status ON okr_system (status);

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "OKR System",
  "type": "object",
  "additionalProperties": false,
  "properties": {
      "Objective": { "type": "string" },
      "Department": { "type": "string" },
      "End Date": { "type": "string", "format": "date" },
      "KR1 Progress %": { "type": "number" },
      "KR2 Progress %": { "type": "number" },
      "KR3 Progress %": { "type": "number" },
      "Key Result 1": { "type": "string" },
      "Key Result 2": { "type": "string" },
      "Key Result 3": { "type": "string" },
      "Last Updated": { "type": "string", "format": "date" },
      "Level": { "type": "string" },
      "Notes": { "type": "string" },
      "OKR ID": { "type": "integer" },
      "Owner": { "type": "string" },
      "Parent OKR": { "type": "string" },
      "Progress %": { "type": "number" },
      "Quarter": { "type": "string" },
      "Start Date": { "type": "string", "format": "date" },
      "Status": { "type": "string" },
      "Year": { "type": "string" }
  },
  "required": [
      "End Date",
      "KR1 Progress %",
      "KR2 Progress %",
      "KR3 Progress %",
      "Last Updated",
      "Level",
      "Progress %",
      "Start Date",
      "Status"
  ]
}

| CSV column | Notion property | Set after import |
|---|---|---|
| Objective | Title | Use as the database title |
| Department | Text | Leave as Text |
| End Date | Date | Convert to Date |
| KR1 Progress % | Number | Convert to Number |
| KR2 Progress % | Number | Convert to Number |
| KR3 Progress % | Number | Convert to Number |
| Key Result 1 | Text | Leave as Text |
| Key Result 2 | Text | Leave as Text |
| Key Result 3 | Text | Leave as Text |
| Last Updated | Date | Convert to Date |
| Level | Select (add options after import) | Convert to Select, add options: "L1", "L2", "L3", "L4", "L5", "M1", "M2" |
| Notes | Text | Leave as Text |
| OKR ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |
| Owner | Text | Leave as Text |
| Parent OKR | Relation (link to the target database) | Convert to Relation, link to the target database |
| Progress % | Number | Convert to Number |
| Quarter | Text | Leave as Text |
| Start Date | Date | Convert to Date |
| Status | Select (add options after import) | Convert to Select, add options: "Draft", "Active", "At Risk", "Closed" |
| Year | Text | Leave as Text |

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

#	Field	Type	SQL	JSON Schema	Notion	CSV example
1	Objective	text	VARCHAR(255)	string	Text	Make delivery predictable
2	Department	text	VARCHAR(255)	string	Text	Delivery
3	End Date	date	DATE	string, format: date	Date	2026-09-30
4	KR1 Progress %	number	NUMERIC	number	Number	75
5	KR2 Progress %	number	NUMERIC	number	Number	60
6	KR3 Progress %	number	NUMERIC	number	Number	40
7	Key Result 1	text	VARCHAR(255)	string	Text	Reduce churn to 4%
8	Key Result 2	text	VARCHAR(255)	string	Text	Ship 20 client sites
9	Key Result 3	text	VARCHAR(255)	string	Text	NPS above 50
10	Last Updated	date	DATE	string, format: date	Date	2026-01-15
11	Level	select	VARCHAR(100)	string	Select (add options after import)	L1
12	Notes	long_text	TEXT	string	Text	Q2 closed at 60 percent; the two weakest key results were carried into the March review.
13	OKR ID	id	SERIAL PRIMARY KEY	integer	Text (preserve source ID)	(blank)
14	Owner	text	VARCHAR(255)	string	Text	Sneha Iyer
15	Parent OKR	relation	VARCHAR(255)	string	Relation (link to the target database)	OKR-2026-COMPANY
16	Progress %	number	NUMERIC	number	Number	60
17	Quarter	text	VARCHAR(255)	string	Text	Q1
18	Start Date	date	DATE	string, format: date	Date	2026-07-01
19	Status	select	VARCHAR(100)	string	Select (add options after import)	Active
20	Year	text	VARCHAR(255)	string	Text	2026

Select Options

Level

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

Status

Draft | Active | At Risk | Closed

Relations

Link fields: Parent OKR

Examples

Prompt

We set goals in January and never looked at them again.

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

Q: How many objectives? A: Three for the company.

Q: Who owns them? A: Department heads.

Q: How often reviewed? A: Not at all currently.

Recommended next step - offered, not built:

Cascade company to team to person, and review progress on a fixed cadence. Three key results per objective is the practical limit.

Workflow: Objective → Key results → Owner → Progress update → Review → Close

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 assess individual performance or connect to compensation.
• 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.

Related Skills

• ](https://github.com/sickn33/agentic-awesome-skills/blob/main/CATALOG.md) - find the relevant module, then read its skill.
• @people-directory - the employee master record most modules link to.
• ](https://github.com/sickn33/agentic-awesome-skills/blob/main/skills/notification-reminder-hub/SKILL.md) - turns due dates in this module into reminders.

Reusable Prompt

I want to set up goal alignment 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.