Creator · decodingai-magazine
Last updated · Sep 3, 2026
Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen.
Creator · decodingai-magazine
Last updated · Sep 3, 2026
Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen.
Creator · decodingai-magazine
Last updated · Sep 3, 2026
Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen.
Creator · decodingai-magazine
Last updated · Sep 3, 2026
Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen.
Sandbox only
Install targets
Codex install prompt
Install the "demo-1-terminal-arcade" agent skill from https://github.com/decodingai-magazine/building-a-coding-agent-from-scratch-course/tree/main/.decode/skills/demo-1-terminal-arcade. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"decodingai-magazine-demo-1-terminal-arcade","task":"Install demo-1-terminal-arcade","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Maintenance
fresh
2d since push
Risk
Needs review
Quality score needs review
GitHub quality
347
72/100 Quality · 77/100 Trust
Coverage tags
Review notes
Quality score needs review · Needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
347 GitHub stars
Repo activity
347 stars, 88 forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcadeDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
Agent should check
Copy prompt
Task: Use demo-1-terminal-arcade in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
Install command: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
LLM text format
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install?format=text
Find alternatives
/api/skills/search?q=demo-1-terminal-arcade&limit=3
Agent prompt
Use demo-1-terminal-arcade for this task. Review https://www.openagentskill.com/api/skills/decodingai-magazine-demo-1-terminal-arcade/install, then install with: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcadeRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/decodingai-magazine-demo-1-terminal-arcade
LLM text
/api/registry/manifest/decodingai-magazine-demo-1-terminal-arcade?format=text
Install alias
/api/registry/install/decodingai-magazine-demo-1-terminal-arcade
Recommend
/api/registry/recommend?task=Use%20demo-1-terminal-arcade%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Local desktop
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO347 GitHub stars
Stars/forks activity
INFO347 stars, 88 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: demo-1-terminal-arcade description: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen. ---
Build a playable, **colorful** game of Snake that runs in the terminal, as a single self-contained Python file `.decode/outputs/snake.py` (unless the human named a different path).
## Constraints
- Pure standard library only — use the built-in `curses` module for rendering and input. Add zero third-party dependencies (nothing that would need `uv add` or `pip install`). - Keep it small and readable: roughly 250 lines. This is a demo people will read, not just play.
## Plan first
Before writing any code, lay out your steps with `todo_write` (draw field → snake movement → food and growth → color + HUD → game over → smoke checks) and tick them off as you go.
## Gameplay to implement
- A bordered play field drawn with `curses`. - A snake that moves continuously and is steered with **W, A, S, D** (arrow keys as a fallback). - **q** (or **Q**) and **ESC** quit the game at any moment. - Food that spawns at a random empty cell; eating it grows the snake and increases the score. - Game over when the snake hits a wall or itself; show a centered "GAME OVER — score N" screen and wait for a keypress to exit. - Restore the terminal cleanly on exit (use `curses.wrapper` so a crash never leaves the terminal garbled).
## Make it flashy
- **Color** (guard with `curses.has_colors()`): green snake, red food, yellow score bar, white borders — set up `curses.init_pair` pairs once at start and fall back to plain text when colors are unsupported. - **Score HUD**: a top status line like `SCORE 7 · SPEED 3` that updates live. - **Speed ramp**: every 3 pieces of food eaten, shorten the tick timeout a little so the game gets faster — cap it so it stays playable. - **Eat animation**: a short, non-blocking flourish when the snake eats food — e.g. flash the snake's head or pulse the score in the HUD for a few ticks. It must not pause the game loop. - **Death animation**: on game over, a brief sequence before the "GAME OVER" screen — e.g. flash the snake a few times or make it disintegrate tail-to-head. Keep it under ~a second so quitting never feels sluggish.
## How to iterate
`curses` needs a real TTY, so you cannot fully play it headlessly. Iterate like this instead:
1. After each change, syntax-check it: `uv run python -m py_compile .decode/outputs/snake.py`. 2. Factor the pure logic — food placement, collision detection, the speed-for-score curve — into small functions and exercise them headlessly with `uv run python -c "..."`. Guard the `curses.wrapper(main)` call behind `if __name__ == "__main__":` so importing the module never grabs the terminal. 3. Hand the finished `snake.py` to the human to play with `uv run python .decode/outputs/snake.py`.
Report the final file, the controls, and the one-line command to play it.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for demo-1-terminal-arcade, ready for a manual X post.
demo-1-terminal-arcade: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Pytho... 347 stars https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=x
Listing + install path for demo-1-terminal-arcade: https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=x Install: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to decodingai-magazine but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade/audit)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)decodingai-magazine
@decodingai-magazine
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "demo-1-terminal-arcade" agent skill from https://github.com/decodingai-magazine/building-a-coding-agent-from-scratch-course/tree/main/.decode/skills/demo-1-terminal-arcade. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"decodingai-magazine-demo-1-terminal-arcade","task":"Install demo-1-terminal-arcade","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Maintenance
fresh
2d since push
Risk
Needs review
Quality score needs review
GitHub quality
347
72/100 Quality · 77/100 Trust
Coverage tags
Review notes
Quality score needs review · Needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
347 GitHub stars
Repo activity
347 stars, 88 forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcadeDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
Agent should check
Copy prompt
Task: Use demo-1-terminal-arcade in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
Install command: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
LLM text format
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install?format=text
Find alternatives
/api/skills/search?q=demo-1-terminal-arcade&limit=3
Agent prompt
Use demo-1-terminal-arcade for this task. Review https://www.openagentskill.com/api/skills/decodingai-magazine-demo-1-terminal-arcade/install, then install with: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcadeRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/decodingai-magazine-demo-1-terminal-arcade
LLM text
/api/registry/manifest/decodingai-magazine-demo-1-terminal-arcade?format=text
Install alias
/api/registry/install/decodingai-magazine-demo-1-terminal-arcade
Recommend
/api/registry/recommend?task=Use%20demo-1-terminal-arcade%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Local desktop
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO347 GitHub stars
Stars/forks activity
INFO347 stars, 88 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: demo-1-terminal-arcade description: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen. ---
Build a playable, **colorful** game of Snake that runs in the terminal, as a single self-contained Python file `.decode/outputs/snake.py` (unless the human named a different path).
## Constraints
- Pure standard library only — use the built-in `curses` module for rendering and input. Add zero third-party dependencies (nothing that would need `uv add` or `pip install`). - Keep it small and readable: roughly 250 lines. This is a demo people will read, not just play.
## Plan first
Before writing any code, lay out your steps with `todo_write` (draw field → snake movement → food and growth → color + HUD → game over → smoke checks) and tick them off as you go.
## Gameplay to implement
- A bordered play field drawn with `curses`. - A snake that moves continuously and is steered with **W, A, S, D** (arrow keys as a fallback). - **q** (or **Q**) and **ESC** quit the game at any moment. - Food that spawns at a random empty cell; eating it grows the snake and increases the score. - Game over when the snake hits a wall or itself; show a centered "GAME OVER — score N" screen and wait for a keypress to exit. - Restore the terminal cleanly on exit (use `curses.wrapper` so a crash never leaves the terminal garbled).
## Make it flashy
- **Color** (guard with `curses.has_colors()`): green snake, red food, yellow score bar, white borders — set up `curses.init_pair` pairs once at start and fall back to plain text when colors are unsupported. - **Score HUD**: a top status line like `SCORE 7 · SPEED 3` that updates live. - **Speed ramp**: every 3 pieces of food eaten, shorten the tick timeout a little so the game gets faster — cap it so it stays playable. - **Eat animation**: a short, non-blocking flourish when the snake eats food — e.g. flash the snake's head or pulse the score in the HUD for a few ticks. It must not pause the game loop. - **Death animation**: on game over, a brief sequence before the "GAME OVER" screen — e.g. flash the snake a few times or make it disintegrate tail-to-head. Keep it under ~a second so quitting never feels sluggish.
## How to iterate
`curses` needs a real TTY, so you cannot fully play it headlessly. Iterate like this instead:
1. After each change, syntax-check it: `uv run python -m py_compile .decode/outputs/snake.py`. 2. Factor the pure logic — food placement, collision detection, the speed-for-score curve — into small functions and exercise them headlessly with `uv run python -c "..."`. Guard the `curses.wrapper(main)` call behind `if __name__ == "__main__":` so importing the module never grabs the terminal. 3. Hand the finished `snake.py` to the human to play with `uv run python .decode/outputs/snake.py`.
Report the final file, the controls, and the one-line command to play it.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for demo-1-terminal-arcade, ready for a manual X post.
demo-1-terminal-arcade: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Pytho... 347 stars https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=x
Listing + install path for demo-1-terminal-arcade: https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=x Install: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to decodingai-magazine but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade/audit)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)decodingai-magazine
@decodingai-magazine
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "demo-1-terminal-arcade" agent skill from https://github.com/decodingai-magazine/building-a-coding-agent-from-scratch-course/tree/main/.decode/skills/demo-1-terminal-arcade. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"decodingai-magazine-demo-1-terminal-arcade","task":"Install demo-1-terminal-arcade","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Maintenance
fresh
2d since push
Risk
Needs review
Quality score needs review
GitHub quality
347
72/100 Quality · 77/100 Trust
Coverage tags
Review notes
Quality score needs review · Needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
347 GitHub stars
Repo activity
347 stars, 88 forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcadeDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
Agent should check
Copy prompt
Task: Use demo-1-terminal-arcade in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
Install command: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
LLM text format
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install?format=text
Find alternatives
/api/skills/search?q=demo-1-terminal-arcade&limit=3
Agent prompt
Use demo-1-terminal-arcade for this task. Review https://www.openagentskill.com/api/skills/decodingai-magazine-demo-1-terminal-arcade/install, then install with: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcadeRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/decodingai-magazine-demo-1-terminal-arcade
LLM text
/api/registry/manifest/decodingai-magazine-demo-1-terminal-arcade?format=text
Install alias
/api/registry/install/decodingai-magazine-demo-1-terminal-arcade
Recommend
/api/registry/recommend?task=Use%20demo-1-terminal-arcade%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Local desktop
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO347 GitHub stars
Stars/forks activity
INFO347 stars, 88 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: demo-1-terminal-arcade description: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen. ---
Build a playable, **colorful** game of Snake that runs in the terminal, as a single self-contained Python file `.decode/outputs/snake.py` (unless the human named a different path).
## Constraints
- Pure standard library only — use the built-in `curses` module for rendering and input. Add zero third-party dependencies (nothing that would need `uv add` or `pip install`). - Keep it small and readable: roughly 250 lines. This is a demo people will read, not just play.
## Plan first
Before writing any code, lay out your steps with `todo_write` (draw field → snake movement → food and growth → color + HUD → game over → smoke checks) and tick them off as you go.
## Gameplay to implement
- A bordered play field drawn with `curses`. - A snake that moves continuously and is steered with **W, A, S, D** (arrow keys as a fallback). - **q** (or **Q**) and **ESC** quit the game at any moment. - Food that spawns at a random empty cell; eating it grows the snake and increases the score. - Game over when the snake hits a wall or itself; show a centered "GAME OVER — score N" screen and wait for a keypress to exit. - Restore the terminal cleanly on exit (use `curses.wrapper` so a crash never leaves the terminal garbled).
## Make it flashy
- **Color** (guard with `curses.has_colors()`): green snake, red food, yellow score bar, white borders — set up `curses.init_pair` pairs once at start and fall back to plain text when colors are unsupported. - **Score HUD**: a top status line like `SCORE 7 · SPEED 3` that updates live. - **Speed ramp**: every 3 pieces of food eaten, shorten the tick timeout a little so the game gets faster — cap it so it stays playable. - **Eat animation**: a short, non-blocking flourish when the snake eats food — e.g. flash the snake's head or pulse the score in the HUD for a few ticks. It must not pause the game loop. - **Death animation**: on game over, a brief sequence before the "GAME OVER" screen — e.g. flash the snake a few times or make it disintegrate tail-to-head. Keep it under ~a second so quitting never feels sluggish.
## How to iterate
`curses` needs a real TTY, so you cannot fully play it headlessly. Iterate like this instead:
1. After each change, syntax-check it: `uv run python -m py_compile .decode/outputs/snake.py`. 2. Factor the pure logic — food placement, collision detection, the speed-for-score curve — into small functions and exercise them headlessly with `uv run python -c "..."`. Guard the `curses.wrapper(main)` call behind `if __name__ == "__main__":` so importing the module never grabs the terminal. 3. Hand the finished `snake.py` to the human to play with `uv run python .decode/outputs/snake.py`.
Report the final file, the controls, and the one-line command to play it.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for demo-1-terminal-arcade, ready for a manual X post.
demo-1-terminal-arcade: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Pytho... 347 stars https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=x
Listing + install path for demo-1-terminal-arcade: https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=x Install: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to decodingai-magazine but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade/audit)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)decodingai-magazine
@decodingai-magazine
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "demo-1-terminal-arcade" agent skill from https://github.com/decodingai-magazine/building-a-coding-agent-from-scratch-course/tree/main/.decode/skills/demo-1-terminal-arcade. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"decodingai-magazine-demo-1-terminal-arcade","task":"Install demo-1-terminal-arcade","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Maintenance
fresh
2d since push
Risk
Needs review
Quality score needs review
GitHub quality
347
72/100 Quality · 77/100 Trust
Coverage tags
Review notes
Quality score needs review · Needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
347 GitHub stars
Repo activity
347 stars, 88 forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcadeDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
Agent should check
Copy prompt
Task: Use demo-1-terminal-arcade in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20demo-1-terminal-arcade%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
Install command: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcade
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install
LLM text format
/api/skills/decodingai-magazine-demo-1-terminal-arcade/install?format=text
Find alternatives
/api/skills/search?q=demo-1-terminal-arcade&limit=3
Agent prompt
Use demo-1-terminal-arcade for this task. Review https://www.openagentskill.com/api/skills/decodingai-magazine-demo-1-terminal-arcade/install, then install with: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill demo-1-terminal-arcadeRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/decodingai-magazine-demo-1-terminal-arcade
LLM text
/api/registry/manifest/decodingai-magazine-demo-1-terminal-arcade?format=text
Install alias
/api/registry/install/decodingai-magazine-demo-1-terminal-arcade
Recommend
/api/registry/recommend?task=Use%20demo-1-terminal-arcade%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Local desktop
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO347 GitHub stars
Stars/forks activity
INFO347 stars, 88 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: demo-1-terminal-arcade description: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Python curses file — score HUD, speed ramp, eat/death animations, and a game-over screen. ---
Build a playable, **colorful** game of Snake that runs in the terminal, as a single self-contained Python file `.decode/outputs/snake.py` (unless the human named a different path).
## Constraints
- Pure standard library only — use the built-in `curses` module for rendering and input. Add zero third-party dependencies (nothing that would need `uv add` or `pip install`). - Keep it small and readable: roughly 250 lines. This is a demo people will read, not just play.
## Plan first
Before writing any code, lay out your steps with `todo_write` (draw field → snake movement → food and growth → color + HUD → game over → smoke checks) and tick them off as you go.
## Gameplay to implement
- A bordered play field drawn with `curses`. - A snake that moves continuously and is steered with **W, A, S, D** (arrow keys as a fallback). - **q** (or **Q**) and **ESC** quit the game at any moment. - Food that spawns at a random empty cell; eating it grows the snake and increases the score. - Game over when the snake hits a wall or itself; show a centered "GAME OVER — score N" screen and wait for a keypress to exit. - Restore the terminal cleanly on exit (use `curses.wrapper` so a crash never leaves the terminal garbled).
## Make it flashy
- **Color** (guard with `curses.has_colors()`): green snake, red food, yellow score bar, white borders — set up `curses.init_pair` pairs once at start and fall back to plain text when colors are unsupported. - **Score HUD**: a top status line like `SCORE 7 · SPEED 3` that updates live. - **Speed ramp**: every 3 pieces of food eaten, shorten the tick timeout a little so the game gets faster — cap it so it stays playable. - **Eat animation**: a short, non-blocking flourish when the snake eats food — e.g. flash the snake's head or pulse the score in the HUD for a few ticks. It must not pause the game loop. - **Death animation**: on game over, a brief sequence before the "GAME OVER" screen — e.g. flash the snake a few times or make it disintegrate tail-to-head. Keep it under ~a second so quitting never feels sluggish.
## How to iterate
`curses` needs a real TTY, so you cannot fully play it headlessly. Iterate like this instead:
1. After each change, syntax-check it: `uv run python -m py_compile .decode/outputs/snake.py`. 2. Factor the pure logic — food placement, collision detection, the speed-for-score curve — into small functions and exercise them headlessly with `uv run python -c "..."`. Guard the `curses.wrapper(main)` call behind `if __name__ == "__main__":` so importing the module never grabs the terminal. 3. Hand the finished `snake.py` to the human to play with `uv run python .decode/outputs/snake.py`.
Report the final file, the controls, and the one-line command to play it.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for demo-1-terminal-arcade, ready for a manual X post.
demo-1-terminal-arcade: Demo skill that builds a colorful, playable terminal Snake game in a single pure-stdlib Pytho... 347 stars https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=x
Listing + install path for demo-1-terminal-arcade: https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=x Install: npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to decodingai-magazine but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade/audit)
[](https://www.openagentskill.com/skills/decodingai-magazine-demo-1-terminal-arcade?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)decodingai-magazine
@decodingai-magazine
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K Starsstandard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness