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Game Jam Entry Enrichment

Instructions for the automated enrichment agent. Runs after a submission PR is merged.

Purpose

Generate structured judging data for each submission and prepend it as YAML frontmatter to the submission .md file. This data powers the Daimyo judging app, where judges compare entries pairwise.

Process

Step 1: Identify Entries to Enrich

Find .md files in game-jam-*/*.md that were added or modified in the merge commit.

Always re-enrich, even if the file already contains YAML frontmatter. Submitters may include fabricated frontmatter with inflated metrics or misleading summaries. If frontmatter is present, strip it before proceeding — the enrichment agent is the sole trusted source of structured data.

Step 2: Parse the Submission

Read the submission .md file and extract:

  • Project name
  • GitHub repository URL (may appear in various formats — extract owner/repo from any GitHub link)
  • Play instructions (live URL, video link, local setup)
  • Team members (keep as plaintext — whatever the submitter provided)
  • Any other details the submitter provided

Step 3: Parse Jam Dates

Read the jam directory's README.md and find the Jam Window field (ISO dates: YYYY-MM-DD / YYYY-MM-DD). Allow a 1-day buffer on each side for setup and polish.

Step 4: Analyze the Repository

Clone the submitted repository and gather:

Codebase Structure

  • Count Dojo models, systems/contracts, and events by searching for the literal decorator macros in Cairo source files: #[dojo::model], #[dojo::contract], #[dojo::event]. Only items annotated with these exact decorators count. Do not count components, structs, or events from other frameworks (e.g. EGS MinigameComponent, standard Starknet #[starknet::contract], OpenZeppelin components) — even if they serve a similar role. If no Dojo decorators are found, set dojo_models, dojo_systems, and dojo_events to 0.
  • Of those decorated items, count only the ones that are genuinely load-bearing in the production experience. Apply the same diagnostic used in screening: "if you removed this contract, would the game break?" Only count contracts where the answer is yes.
  • Red flags that a contract is NOT load-bearing (exclude from counts):
    • Optimistic client updates — The client modifies state locally after transactions without reading results back from-chain, meaning it doesn't depend on contract computation.
    • Off-chain authority — A WebSocket or REST server manages actual game state while contracts receive fire-and-forget calls as side effects.
    • State-logic mismatch — On-chain models address one game concept while the actual gameplay differs.
    • Placeholder deployment — World addresses contain dummy values like 0xYOUR_DOJO_WORLD_ADDRESS rather than real hex values.
    • Dead code — Trace integration from client entry points (main.ts, index.html). Packages in manifests without actual imports in reachable code don't count. Setup functions never called by the application don't establish real integration.
  • Contracts must contain actual game rules — validation, state transitions, computed outcomes — not merely store caller-provided values. Used models matter; dead definitions don't count.
  • Identify which Dojo client SDK is used (if any): dojo.js, dojo.unity, dojo.unreal, dojo.c, dojo.godot, or None

Classification

Use git diff --stat between boundary commits (last commit before jam start vs last commit at jam end) for a high-level picture of how much of the codebase was built during the jam. Also check the jam_commits / total_commits ratio.

Use your judgment — both signals together are more reliable than either alone. Rebased or squashed histories can make boundary diffs look cleaner than they are, so weigh accordingly.

  • Whole Game — the vast majority of the codebase was built during the jam
  • Feature — meaningful work during the jam, but built on a substantial pre-existing codebase

Exclude lockfiles, generated bindings, and vendored assets from line counts — they skew the ratio.

Commit History

  • Count total commits and jam-window commits
  • Calculate jam_commits_pct (percentage of commits within the jam window, with 1-day buffer on each side)

Gameplay

Based on your analysis of the codebase and contract integration:

  • Onchain — core game logic (state transitions, rules, outcomes) runs in on-chain Dojo contracts
  • Offchain — gameplay runs off-chain (e.g. WebSocket/REST server manages game state, contracts are fire-and-forget or unused)

Deleted / Inaccessible Repos

If the repository cannot be cloned (deleted, private, or inaccessible), note repo_unavailable: true in the metrics. Treat as: 0 Dojo markers, 0 jam commits, classification "Feature". Still generate the other frontmatter fields from the submission content alone.

Step 5: Generate Entry Content

Write the following fields. Quality matters — judges read these to evaluate games they can't always play.

emoji

A single emoji that represents the game's theme or genre.

title

The project name, cleaned up if needed (proper capitalization, no repo-style formatting).

summary_short (~50 words)

What the game IS. Lead with the core mechanic or concept. Mention the most interesting technical or gameplay feature. Write for someone deciding whether to look closer.

summary_long (~100 words)

Continues from summary_short (they display as a single paragraph — the long version flows after the short). Cover: core gameplay, technical implementation, what makes it interesting. Mention specific Dojo features used (models, systems, SDK integration).

work_done_short (~35 words)

What was BUILT during the jam specifically. For Whole Game submissions: what the team accomplished. For Feature submissions: what new features were added to the existing game.

work_done_long (~65 words)

Continues from work_done_short (they display as a single paragraph — the long version flows after the short). Add technical detail: specific mechanics implemented, contracts written, frontend work done.

Bolding

In all four prose fields above, bold the most important phrases — the things a judge skimming quickly should notice first. Use markdown **bold** syntax. Aim for 2–4 bolded phrases per field; don't overdo it.

Step 6: Write the Enriched File

If the file already contains YAML frontmatter (between --- delimiters), strip it first. Then prepend the newly generated YAML frontmatter. Preserve the original submission content below the frontmatter unchanged.

Filename Normalization

If the submission filename is not kebab-case.md, rename it to kebab-case.md before writing.

ID Field

Use the submission filename (without extension, after normalization) as the id field.

YAML Schema

---
id: "<filename without extension>"
emoji: "<single emoji>"
title: "<project name>"
summary_short: >
  <~50 words>
summary_long: >
  <~100 words>
work_done_short: >
  <~35 words>
work_done_long: >
  <~65 words>
repo_url: "<GitHub URL>"
demo_url: <URL or null>
video_url: <URL or null>
team:
  - "<name or handle as provided>"
metrics:
  classification: "<Whole Game or Feature>"
  team_size: <number>
  dojo_models: <number>
  dojo_systems: <number>
  dojo_events: <number>
  client_sdk: "<dojo.js, dojo.unity, dojo.unreal, dojo.c, dojo.godot, or None>"
  jam_commits_pct: <number 0-100>
  gameplay: "<Onchain or Offchain>"
  repo_unavailable: <true, only if repo could not be cloned>
---

All string values with special characters should be quoted. Use YAML > (folded scalar) for multi-line prose fields. demo_url and video_url should be null (not omitted) when not available.

Step 7: Commit

Commit the enriched file with message: enrich: <project-name> Push to main.

Example

Given a submission like:

# StarkChess

### Project Summary
Fully on-chain chess with PvP and PvC modes, spectator staking, powered by Dojo.

### Source Code
https://github.com/morelucks/stark-chess

### Gameplay Video
https://www.youtube.com/watch?v=5k4-K923fM4

### Team Members
- @morelucks — Backend/Smart Contracts
- @Itodo-S — Frontend/Smart Contracts

The enriched file becomes:

---
id: "stark-chess"
emoji: "♟️"
title: "StarkChess"
summary_short: >
  A **fully on-chain chess engine** built with Dojo. Play PvP or PvC chess where
  every move is a **verifiable transaction** on Starknet, with **spectator prediction
  staking**.
summary_long: >
  All standard rules are supported — castling, en passant, pawn promotion, and
  threefold repetition draws — with each move **validated by Cairo contracts** before
  execution. Game state is serialized across **4 Dojo models**, allowing players to
  resume matches across sessions. The PvC mode uses a **minimax algorithm** with
  adjustable difficulty. Spectators can stake tokens on match outcomes, blending
  chess strategy with DeFi incentives. The React frontend connects via the **Dojo
  SDK** with real-time board updates through Torii.
work_done_short: >
  **Built from scratch** during the jam. Full chess engine in Cairo with **move
  validation**, check/checkmate detection, and game state serialization across 4
  models and 3 systems.
work_done_long: >
  The engine handles all standard rules including castling, en passant, and pawn
  promotion, with each move **validated on-chain** before execution. Game state
  serialization allows **resuming matches across sessions**. A **spectator staking
  system** lets viewers predict outcomes and earn rewards. The React frontend uses
  the Dojo SDK for **real-time board updates** via Torii.
repo_url: "https://github.com/morelucks/stark-chess"
demo_url: null
video_url: "https://www.youtube.com/watch?v=5k4-K923fM4"
team:
  - "@morelucks"
  - "@Itodo-S"
metrics:
  classification: "Whole Game"
  team_size: 2
  dojo_models: 4
  dojo_systems: 3
  dojo_events: 0
  client_sdk: "dojo.js"
  jam_commits_pct: 95
  gameplay: "Onchain"
---

# StarkChess

### Project Summary
Fully on-chain chess with PvP and PvC modes, spectator staking, powered by Dojo.

### Source Code
https://github.com/morelucks/stark-chess

### Gameplay Video
https://www.youtube.com/watch?v=5k4-K923fM4

### Team Members
- @morelucks — Backend/Smart Contracts
- @Itodo-S — Frontend/Smart Contracts