gamification-engine – Other skill for AI agents
Gamification points register: player and department, points balance and points earned this month, level, badges, source module and last-updated date. Use for points and badge tracking.
Install the gamification-engine 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/gamification-engine-94618.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /gamification-engine – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/gamification-engine-94618.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $gamification-engine – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/gamification-engine-94618.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /gamification-engine – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/gamification-engine-94618.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /gamification-engine – then describe the task you want done.
SKILL.md content
Gamification Engine
What it is: Engagement.
Overview
Works out the smallest useful Gamification Engine 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 5: Develop. Fits: Scale stage. Table code: n/a.
When to Use This Skill
- employee gamification
- points and badges
- engagement points system
- reward points tracker
Also use it when the user says "engagement", 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 behaviour are you trying to change?
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.
- Behaviour - What should increase? / Who takes part? / All staff or a team?
- Mechanic - Points, badges or leaderboard? / Monthly reset? / Public or private?
- Rules - Point values? / What is excluded? / Who can award?
- Current process - Anything in place now? / Tool or manual? / Does it get ignored?
- Outcome - What do you need? / Points, a leaderboard 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: gamification-engine
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"Behaviour": null
"Mechanic": null
"Rules": 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: Use points for the behaviour you want and nothing else. A leaderboard only works if most people can appear on it.
Why this one: Gamification fails when the points do not connect to something people care about. Start with one behaviour and a monthly reset.
Workflow: Behaviour → Award points → Balance → Leaderboard or summary → Review
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.
Player,Employee Name,Department,Points Balance,Points This Month,Level,Badges,Source Module,Last Updated,Notes,Player ID
Aarav Sharma,Aarav Sharma,Delivery,340,120,L1,First responder,Invoices & Billing,2026-01-15,"Points rules changed in February, so the leaderboard reset and nobody has hit a badge yet.",CREATE TABLE gamification_engine (
player VARCHAR(255),
employee_name VARCHAR(255),
department VARCHAR(255),
points_balance NUMERIC NOT NULL,
points_this_month NUMERIC NOT NULL,
level VARCHAR(100) NOT NULL,
badges VARCHAR(255),
source_module VARCHAR(255),
last_updated DATE NOT NULL,
notes TEXT,
player_id SERIAL PRIMARY KEY,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Gamification Engine",
"type": "object",
"additionalProperties": false,
"properties": {
"Player": { "type": "string" },
"Employee Name": { "type": "string" },
"Department": { "type": "string" },
"Points Balance": { "type": "number" },
"Points This Month": { "type": "number" },
"Level": { "type": "string" },
"Badges": { "type": "string" },
"Source Module": { "type": "string" },
"Last Updated": { "type": "string", "format": "date" },
"Notes": { "type": "string" },
"Player ID": { "type": "integer" }
},
"required": [
"Points Balance",
"Points This Month",
"Level",
"Last Updated"
]
}| CSV column | Notion property | Set after import |
|---|---|---|
| Player | Title | Use as the database title |
| Employee Name | Text | Leave as Text |
| Department | Text | Leave as Text |
| Points Balance | Number | Convert to Number |
| Points This Month | Number | Convert to Number |
| Level | Select (add options after import) | Convert to Select, add options: "L1", "L2", "L3", "L4", "L5", "M1", "M2" |
| Badges | Text | Leave as Text |
| Source Module | Text | Leave as Text |
| Last Updated | Date | Convert to Date |
| Notes | Text | Leave as Text |
| Player 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
| # | Field | Type | SQL | JSON Schema | Notion | CSV example |
|---:|---|---|---|---|---|---|
| 1 | Player | text | VARCHAR(255) | string | Text | Aarav Sharma |
| 2 | Employee Name | text | VARCHAR(255) | string | Text | Aarav Sharma |
| 3 | Department | text | VARCHAR(255) | string | Text | Delivery |
| 4 | Points Balance | number | NUMERIC | number | Number | 340 |
| 5 | Points This Month | number | NUMERIC | number | Number | 120 |
| 6 | Level | select | VARCHAR(100) | string | Select (add options after import) | L1 |
| 7 | Badges | text | VARCHAR(255) | string | Text | First responder |
| 8 | Source Module | text | VARCHAR(255) | string | Text | Invoices & Billing |
| 9 | Last Updated | date | DATE | string, format: date | Date | 2026-01-15 |
| 10 | Notes | long_text | TEXT | string | Text | Points rules changed in February, so the leaderboard reset and nobody has hit a badge yet. |
| 11 | Player ID | id | SERIAL PRIMARY KEY | integer | Text (preserve source ID) | (blank) |
Select Options
Level
L1 | L2 | L3 | L4 | L5 | M1 | M2Relations
Link fields: none
Examples
Prompt
We want more people to share knowledge internally.Context first - one question per message, nothing already answered:
> Q: How many people?
> A: Around 30.
>
> Q: Points or badges?
> A: Points.
>
> Q: Leaderboard?
> A: No, too small a team.
Recommended next step - offered, not built:
> Use points for the behaviour you want and nothing else. A leaderboard only works if mo
… (full content is in the download package)
Related skills
- geminiignore-finops – Configure and optimize .geminiignore files for AI context window efficiency and token…
- geo-citability – AI citability scoring and optimization.
- geo-compare – Monthly delta tracking and progress reporting for GEO clients.
- geo-fundamentals – Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
- geo-keyword-expansion-tool – Geo Keyword Expansion Tool. Use when working with seed keyword and target locations.
- geo-prospect – CRM-lite for managing GEO agency prospects and clients.
- geoffrey-hinton – Agente que simula Geoffrey Hinton — Godfather of Deep Learning, Prêmio Turing 2018…
- gmb-optimization-helper – GMB Optimization Helper. Use when working with Google Business Profile details or…