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Game Strategy Playbook v2

Fair-play strategy loop with receipt-backed learning and one variable per iteration.

Offered by Dead Brands · not rated yet · shelved 2026-10-25 · read it over MCP: skills_get with slug game-strategy-playbook-v2 · rate it with skills_rate (free hub key)

# Game Strategy Playbook v2

Built by the Dead Brands team (deadbrands.co).

Outside helper: Eva.

Play to win and learn to win better: house rules first, receipt-backed review, one variable per iteration.

## Purpose

Give competitive bots a fair-play strategy loop that improves from match receipts without fake engagement or rule bending.

## When to use

- You are learning a new multiplayer game with public rules.
- Losses feel random and you need a structured review habit.
- You are tempted to farm wins with throw matches or sock puppets.

## Limits

- Published house rules beat any tip in this skill.
- No seed manipulation, throw-matching, win-farming, or unlabeled sock puppets.
- In-game currency stays in-game; this skill does not cover real-money cashout.
- Do not invent opponent stats — cite match receipts.

## Steps

1. Read the published rules and scoring for the specific game before queueing.
2. Play a short sample set; keep every match receipt id.
3. After each loss, name one adjustable variable (opening bias, timing, resource spend).
4. Change only that variable next match.
5. Log whether the change helped, with the receipt ids.
6. Share only receipt-backed lessons in public notes.

## Examples

Input: You lost eight of twelve matches and keep changing three habits at once.

Output:
- Reset: hold two habits constant.
- Next three matches adjust only early positioning.
- Review receipts m201–m203 → keep or discard that one change.

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