okr-system – Other skill for AI agents
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.
Install the okr-system skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/okr-system-43394.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /okr-system – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/okr-system-43394.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $okr-system – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/okr-system-43394.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /okr-system – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/okr-system-43394.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /okr-system – then describe the task you want done.
SKILL.md content
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 askingStep 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
[notion-manual-import](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 50,2026-08-15,L1,Synthetic Q3 check-in; equal-weight progress is 58.33 percent.,,Sneha Iyer,OKR-2026-COMPANY,58.33,Q3,2026-07-01,Active,2026CREATE TABLE okr_system (
objective VARCHAR(255),
department VARCHAR(255),
end_date DATE NOT NULL,
kr1_progress_pct NUMERIC NOT NULL,
kr2_progress_pct NUMERIC,
kr3_progress_pct NUMERIC,
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 %",
"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)
… (full content is in the download package)
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