Agent skill

Itchio New Game Hunt

by kennyzir in kennyzir/7deer_skills

Hunt for fresh browser-playable games on itch.io /newest that are worth building SEO arbitrage sites for.

MITAuto-check passedMarketing & SEO

Install Itchio New Game Hunt

skills CLI
$ npx skills add kennyzir/7deer_skills --skill itchio-new-game-hunt -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kennyzir/7deer_skills itchio-new-game-hunt --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kennyzir/7deer_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/itchio-new-game-hunt .claude/skills/itchio-new-game-hunt && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
itchio-new-game-hunt
GitHub stars
322
Token cost
~3.3k tokens
SKILL.md length
495 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

Hunt for fresh browser-playable games on itch.io /newest that are worth building SEO arbitrage sites for.

  • Works in 5 steps: :列表页批量发现 → :详情页信号扫描(逐个) → 5:Google Trends 搜索需求验证 → …
  • Marketing & SEO work in your project
  • SKILL.md covers 核心理念, 筛选漏斗(4 层), Phase 1:列表页批量发现 and Phase 2:详情页信号扫描(逐个), plus 5 more sections
  • Reaches itch.io and trends.google.com

What it does

Itchio New Game Hunt is an agent skill from kennyzir/7deer_skills. Hunt for fresh browser-playable games on itch.io /newest that are worth building SEO arbitrage sites for. Crawls new releases, scores them by signals, produces ranked shortlist.

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO. The repository describes itself as: Composable, auditable Agent Skills for building Roblox game sites—from opportunity and keyword research to content, SEO, updates, and backlinks. The licence is MIT.

When your agent uses it

  • Marketing & SEO work in your project

Example prompts

  • “/itchio-new-game-hunt”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. :列表页批量发现
  2. :详情页信号扫描(逐个)
  3. 5:Google Trends 搜索需求验证
  4. :竞品度评估(对高价值候选)
  5. :最终推荐输出

What it can do on your machine

Read from SKILL.md and the folder at commit 32a6881. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • itch.io
    • trends.google.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Itchio New Game Hunt loads about 3.3k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 495 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from kennyzir/7deer_skills at commit 32a6881, republished under its MIT licence (© kennyzir). 495 words, ~3,317 tokens.

Download SKILL.mdSave it as .claude/skills/itchio-new-game-hunt/SKILL.md (or your agent's skills folder).
name
itchio-new-game-hunt
description
Hunt for fresh browser-playable games on itch.io /newest that are worth building SEO arbitrage sites for. Crawls new releases, scores them by signals, produces ranked shortlist.
metadata.category
software-development
metadata.triggers
itch.io 新游发现; 找 itch 游戏套利; itch new game hunt; 发现值得建站的 itch 游戏; itchio SEO 套利; scan itch.io for games

itch.io New Game Hunt → SEO Arbitrage Discovery

核心理念

itch.io 新游套利的黄金窗口:游戏刚上线 → Google 索引不完整 → 搜索竞争低 → 第一时间建站截获流量。本 skill 专注发现环节:从 itch.io 新游列表中筛选出「有 SEO 套利价值」的游戏。

筛选漏斗(4 层)

itch.io /newest (36/page)
    ↓ 第 1 层: Play in browser
~20 games
    ↓ 第 2 层: 详情页信号扫描 + 评分
~5-8 games
    ↓ 第 2.5 层: Google Trends 搜索需求验证
~3-5 games(砍掉搜不到的)
    ↓ 第 3 层: 竞品度评估
1-3 高价值候选

Phase 1:列表页批量发现

目标 URL
https://itch.io/games/newest/platform-web/free

注意:itch.io 有 Cloudflare 安全验证。如果被拦截,回退到 /games/newest 然后靠 CSS 选择器过滤 "Play in browser"。

提取方法

在 /games/newest 页面的浏览器 console 执行:

js
(() => {
  const cells = document.querySelectorAll('.game_cell');
  return [...cells].map(cell => {
    const titleEl = cell.querySelector('.title, .game_title');
    const title = titleEl ? titleEl.textContent.trim() : '';
    const link = cell.querySelector('a[data-action="game_grid"], a.thumb_link');
    const url = link ? link.getAttribute('href') : '';
    const dataText = cell.querySelector('.game_cell_data')?.textContent || '';
    const hasPlayInBrowser = /Play in browser/i.test(dataText);
    const genreEl = cell.querySelector('.game_genre');
    const genre = genreEl ? genreEl.textContent.trim() : '';
    const authorEl = cell.querySelector('.game_author a');
    const author = authorEl ? authorEl.textContent.trim() : '';
    const imgEl = cell.querySelector('img');
    const thumbUrl = imgEl ? (imgEl.src || imgEl.getAttribute('data-lazy_src') || '') : '';
    return { title, url, author, genre, thumbUrl, hasPlayInBrowser };
  }).filter(g => g.hasPlayInBrowser && g.title);
})()

关键过滤:

  • ✅ hasPlayInBrowser === true → 才能建站内嵌
  • ❌ 游戏名为空 → 跳过
  • ❌ 标题含 [WIP]/[Demo]/[Prototype] → 未完成品,跳过
  • ⚠️ 标题是非英语(如纯中文/阿拉伯语)→ 英语搜索流量有限,标注 NON_EN

输出: 第一轮筛选列表(通常 15-22 个/页)


Phase 2:详情页信号扫描(逐个)

对 Phase 1 的每个候选游戏,进入详情页提取信号。

重要:避免每次点击 Embed 按钮

Embed 按钮触发 modal dialog,太低效。改用以下方式:

方法 A:直接拼接 embed URL(推荐)

itch.io game_id 在页面 HTML 中有多处出现:

js
// 在详情页 console 提取 game_id
const embedLink = document.querySelector('a[href*="/embed/"]');
const dataGameId = document.body.getAttribute('data-game_id');
const pageScripts = [...document.querySelectorAll('script')]
  .find(s => s.textContent.includes('"id":'))?.textContent;
const idMatch = pageScripts?.match(/"id":(\d+)/);
const gameId = dataGameId || (embedLink?.href?.match(/\/embed\/(\d+)/)?.[1]) || (idMatch?.[1]);
// embed URL = `https://itch.io/embed/${gameId}`
方法 B:如果方法 A 失败,点 Embed modal
js
// 点 Embed 按钮 → 读取 textarea
document.querySelector('textarea')?.value  // 提取 iframe 中的 src
详情页信号提取清单
js
// 在详情页 console 执行完整提取
(() => {
  const r = {};

  // === 基础信息 ===
  r.title = document.querySelector('h1')?.textContent?.trim() || 
            document.querySelector('.game_title')?.textContent?.trim() || '';
  r.url = window.location.href;
  
  // === Embed URL ===
  const dataGameId = document.body?.getAttribute('data-game_id') || 
                     document.querySelector('[data-game_id]')?.getAttribute('data-game_id');
  const embedLink = document.querySelector('a[href*="/embed/"]');
  const embedHref = embedLink?.getAttribute('href') || '';
  r.gameId = dataGameId || (embedHref.match(/\/embed\/(\d+)/)?.[1]) || '';
  r.embedUrl = r.gameId ? `https://itch.io/embed/${r.gameId}` : '';
  
  // === 描述 ===
  const descEl = document.querySelector('.formatted_description, .game_description, [class*="description"]');
  r.description = descEl ? descEl.textContent.trim().substring(0, 2000) : '';
  
  // === 标签/分类 ===
  r.tags = [...document.querySelectorAll('a[href*="/tag-"]')]
    .map(a => a.textContent.trim().toLowerCase());
  r.genres = [...document.querySelectorAll('a[href*="/genre-"]')]
    .map(a => a.textContent.trim());
  
  // === 评分 ===
  const ratingEl = document.querySelector('.star_rating, [itemprop="ratingValue"], [class*="aggregate"]');
  const ratingText = ratingEl?.textContent?.trim() || ratingEl?.getAttribute('content') || '';
  r.rating = parseFloat(ratingText) || 0;
  r.ratingCount = 0;
  const countEl = document.querySelector('[itemprop="ratingCount"], [class*="rating_count"]');
  if (countEl) r.ratingCount = parseInt(countEl.textContent) || 0;
  
  // === 下载/浏览/评论数 ===
  const statEls = document.querySelectorAll('.game_info_panel_widget .stat, .stats .stat, [class*="stat"]');
  statEls.forEach(el => {
    const text = el.textContent;
    if (/view/i.test(text)) r.views = parseInt(text.replace(/\D/g,'')) || 0;
    if (/download/i.test(text)) r.downloads = parseInt(text.replace(/\D/g,'')) || 0;
    if (/comment/i.test(text)) r.comments = parseInt(text.replace(/\D/g,'')) || 0;
  });
  
  // === 发布/更新时间 ===
  const dateEl = document.querySelector('.game_date, time, [class*="published"], [class*="updated"]');
  r.publishDate = dateEl ? dateEl.textContent.trim() : '';
  
  // === 开发者 ===
  const authorEl = document.querySelector('.game_author a, [class*="author"] a, [class*="owner"] a');
  r.author = authorEl ? authorEl.textContent.trim() : '';
  r.authorUrl = authorEl ? authorEl.getAttribute('href') : '';
  
  // === Devlog 数 ===
  const devlogEls = document.querySelectorAll('.devlog_list .devlog_post, [class*="devlog"] li');
  r.devlogCount = devlogEls.length;
  
  // === 平台支持 ===
  r.platforms = [...document.querySelectorAll('.platform_img, [class*="platform"] img')]
    .map(p => p.getAttribute('title') || p.getAttribute('alt') || '')
    .filter(Boolean);
  
  // === 是否免费 ===
  const priceEl = document.querySelector('.game_price, .price_tag, [class*="price"]');
  r.price = priceEl ? priceEl.textContent.trim() : 'Free';
  r.isFree = !priceEl || /free|name your|donation/i.test(r.price);
  
  // === og:image ===
  const ogImg = document.querySelector('meta[property="og:image"]');
  r.ogImage = ogImg ? ogImg.getAttribute('content') : '';
  
  return r;
})()
信号评分模型(Phase 2 详情页,满分 80)

Phase 2 只打 80 分基础分。Phase 2.5 的 Google Trends 验证追加 0-35 分趋势分,总分上限 100。

信号提取字段权重评分规则
可嵌入性embedUrl🔴 硬性门槛无 embedUrl → 直接淘汰
游戏类型匹配tags, genres20含 html5 + action/puzzle/arcade/shooter/simulation → +20;Visual Novel/Interactive Fiction → +5(搜索意图低)
社交证明rating, ratingCount, comments, downloads20rating≥4 → +10;ratingCount≥10 → +5;comments≥3 → +5
活跃度devlogCount, publishDate15devlog≥2 → +8;7天内更新 → +7
开发者信誉author (多款作品?)10开发者有 ≥3 款作品 → +10
标题搜索友好度title 文本分析10标题含明确搜索关键词 → +10;纯品牌名/造词 → +3
语言title, description5英语 → +5;多语言 → +3;纯非英语 → +1

Phase 2 评分分级:

  • 🟢 ≥ 50 分 → 进入 Phase 2.5 趋势验证
  • 🟡 30-49 分 → 可观测,等信号增强
  • 🔴 < 30 分 → 跳过

Phase 2.5 趋势分追加:

  • Google Trends 验证通过 → +0 到 +35 → 总分重算
  • 最终 ≥ 60 分 → 进入 Phase 3 竞品评估

⚠️ 关键漏斗层:Phase 2 的「搜索量潜力」评分只是基于标题关键词的推断。Phase 2.5 用真实趋势数据验证推断是否成立。 工具限制: terminal 环境的 pytrends 无法连接 Google(被墙),必须通过 browser 工具访问 Google Trends 页面 + JS 提取数据。

执行时机

对 Phase 2 评分 ≥ 30 分 的候选逐个查询趋势。

查询方式:批量对比

Google Trends 支持一次 URL 比较最多 5 个搜索词。建议每批 3-4 个游戏名 + 1 个锚定词:

锚定词选择:
- 高搜索量:  "snake game"(日均~20-30)→ 作为「有需求」的参照线
- 中等搜索量:"escape room game" → 作为「中等需求」参照
- 零搜索量:  留空让新游戏自然暴露

URL 构造:

https://trends.google.com/trends/explore?q={keyword1},{keyword2},{keyword3},{anchor}&date=now%207-d&geo=US
  • date=now%207-d → 过去 7 天(看到实时趋势)
  • geo=US → 美国市场(英语搜索主力)
  • 关键词中空格用 %20 编码
数据提取 JS

在 Google Trends 页面加载后,用 browser_console 执行:

js
(() => {
  // 1. 平均搜索兴趣值
  const avgRow = [...document.querySelectorAll('tr')].find(tr => {
    const td = tr.querySelector('td');
    return td && td.textContent.trim() === 'Average';
  });
  const averages = avgRow 
    ? [...avgRow.querySelectorAll('td')].slice(1).map(td => td.textContent.trim())
    : [];

  // 2. 时间序列(第二个 table)
  const tables = document.querySelectorAll('table');
  const dataTable = tables.length > 1 ? tables[1] : null;
  const timeSeries = dataTable
    ? [...dataTable.querySelectorAll('tr')].slice(1).map(row => {
        const cells = [...row.querySelectorAll('td')];
        if (cells.length < 2) return null;
        return {
          time: cells[0]?.textContent?.trim(),
          values: cells.slice(1).map(c => c.textContent.trim())
        };
      }).filter(Boolean)
    : [];
  
  // 3. 非零数据点统计
  const nonZeroPts = timeSeries.filter(ts => ts.values.some(v => v !== '0'));
  
  // 4. 峰值
  const allVals = timeSeries.flatMap(ts => ts.values.map(Number).filter(n => !isNaN(n) && n > 0));
  const maxVal = allVals.length > 0 ? Math.max(...allVals) : 0;
  
  // 5. "Not enough data" 警告
  const warnings = [...document.querySelectorAll('[class*="warning"], .error-message, [class*="not_enough"]')]
    .map(el => el.textContent.trim())
    .filter(t => t.includes('enough data') || t.includes('spelled correctly'));

  // 6. 地区分布(第三个 table,如果有)
  const regionTable = tables.length > 2 ? tables[2] : null;
  const regions = regionTable
    ? [...regionTable.querySelectorAll('tr')].slice(1, 4).map(row => {
        const cells = [...row.querySelectorAll('td')];
        return cells.length > 1 
          ? { region: cells[0]?.textContent?.trim(), value: cells[1]?.textContent?.trim() } 
          : null;
      }).filter(Boolean)
    : [];
  
  return {
    averages,
    nonZeroPercent: timeSeries.length > 0 
      ? Math.round(nonZeroPts.length / timeSeries.length * 100) 
      : 0,
    maxValue: maxVal,
    hasData: nonZeroPts.length > 0,
    warnings: warnings.slice(0, 3),
    regions
  };
})()
趋势评分模型
趋势信号评分逻辑分数
平均搜索值 > 0有需求被记录+15
平均搜索值 ≥ 锚定词的 50%需求可观+10
非零数据点 > 50%需求持续非偶然+10
峰值 ≥ 30(相对值)有搜索爆发潜力+10
warnings 含 "not enough data"无搜索需求验证 → -20(罚分)—
平均值 = 0 且无 warning偶发搜索 → 保留但标记+0

趋势分级:

  • 🟢 ≥ 20 分(从趋势获得)→ 搜索需求已验证,继续 Phase 3
  • 🟡 5-19 分 → 低需求但非零,加入观测列表
  • 🔴 < 5 分 → 搜索需求未验证,从候选列表移除
Show full SKILL.md (189 more words)Show less
批处理策略(节省 browser 调用)
第 1 批:锚定词 "snake game" + 游戏1 + 游戏2
    → 拿到锚定线 + 两个游戏的相对值
第 2 批:锚定词 "snake game" + 游戏3 + 游戏4
    → 同锚定词保持可比性
...

关键逃逸条件: 如果一批中的锚定词也返回 0(整个 Trends 页面数据异常)→ 标记此次扫描异常,不淘汰任何游戏,改天重扫。


Phase 3:竞品度评估(对高价值候选)

对 Phase 2 评分 ≥ 40 分 的候选,评估 Google SERP 竞争情况:

快速检查(30 秒/游戏)
  1. 基于游戏标题构造搜索词:"{title} game" 或 "play {title} online"
  2. 打开 Google 搜索(可以用 browser_navigate 或 SerpAPI)
  3. 检查首页前 10 结果:
SERP 格局评估行动
0-2 个独立站 + itch.io 排第 1🟢 窗口大开立即建站
3-5 个中等站🟡 竞争存在差异化可行性评估
5+ 个强站🔴 窗口关闭跳过
0 个搜索结果⚪ 无搜索需求跳过(白费力气)
中等站评估标准
- 标题是否精准匹配 "{GameName} Game Online"?
- H1 是否含 "play" + "free" 关键词?
- 是否有 FAQ section?
- 内容深度 ≥ 500 词?
- 是否有结构化数据 (VideoGame Schema)?
→ 如果现有站点在这 5 项中缺 ≥ 3 项 → 有超越空间

Phase 4:最终推荐输出

生成结构化推荐报告:

markdown
# 🎯 itch.io 新游套利发现报告
**日期:** 2026-XX-XX
**来源:** https://itch.io/games/newest
**扫描:** 36 个游戏 → 20 个 browser-playable → [N] 个高价值

## 🟢 高价值候选 (≥60分)

| # | 游戏名 | 评分 | 类型 | 搜索潜力 | 竞品度 | 推荐行动 |
|---|--------|:---:|------|:---:|:---:|------|
| 1 | {title} | {score} | {genre} | 🟢/🟡 | 🟢 | 立即建站 |
| 2 | ... |

## 🟡 观测列表 (40-59分)

| # | 游戏名 | 评分 | 类型 | 缺失信号 | 观测建议 |
|---|--------|:---:|------|------|------|
| 1 | {title} | {score} | {genre} | 评论/评分为0 | 1周后复查 |

## 🔴 已淘汰

- {title} — 原因: {淘汰理由}

自动化运行模式

模式 A:单次扫描(手动触发)
browser_navigate → /newest → 提取 Phase 1 列表(JS console)
→ 对每个 Play in browser 候选 → 详情页 → Phase 2 信号提取 + 评分
→ 对 ≥30 分候选 → 分批 Google Trends → Phase 2.5 趋势验证
→ 对 趋势通过 + ≥50 总分 → Google SERP → Phase 3 竞品评估
→ 输出 Phase 4 报告
模式 B:定时扫描(cron job)
每天 1 次 → itch.io /newest → Phase 1 → Phase 2 → Phase 2.5
→ 仅输出趋势通过候选 → 本地保存 JSON

pitfall

  1. Cloudflare 拦截:itch.io /newest/platform-web/free 容易触发 CF challenge。回退方案:用 /games/newest 基础页,靠 Play in browser 文本在 JS 中过滤
  2. 视觉小说/互动小说陷阱:genre=Visual Novel 的游戏搜索意图更偏 "read" 而非 "play",建站转化率低 — 分数惩罚 -15
  3. 非英语游戏:标题/描述为葡萄牙语、西班牙语等的游戏 → 英语搜索流量极少。如果是特定语言市场可考虑,但通用套利价值低
  4. 评分 0 ≠ 无价值:刚上线 1 天的游戏评分/评论均为 0 是正常的。此时优先看游戏类型 + 标题关键词 + 开发者活跃度
  5. 只做列表页评分会漏掉好游戏:itch.io 列表页不显示评分/评论/downloads —必须进详情页
  6. 不要用 "Play in browser" 筛选 URL 直接访问:/newest/platform-web/free 更易触发 CF 验证;在基础 /newest 页用 JS 过滤更稳定
  7. Embed URL 不是 iframe src 直链:itch.io embed 是 <iframe src="https://itch.io/embed/{id}">,这是完整游戏页面的嵌入形式,可以直接用
  8. 搜索量 ≠ 可套利:有些游戏名是品牌词(如 "Snake.DB"、"ATARI 2600"),虽然搜索量大但会被官网占满,套利价值 0
  9. Google Trends 访问路径:terminal 的 pytrends 库无法连接 Google(被墙),必须使用 browser 工具访问 trends.google.com。browser 工具有独立网络通路,可正常访问
  10. Trends 数据 0 很常见:新游戏刚上线几天,Google Trends 返回 0 是正常现象。不要仅凭 0 就淘汰 — 查看 Phase 2 其他信号(类型、标题友好度、开发者活跃度)做综合判断
  11. 锚定词必须稳定:每批 Trends 查询必须用同一个锚定词(如 "snake game"),否则不同批次的相对值不可比
  12. URL 编码陷阱:游戏名含特殊字符(☆、!、')时需 URL 编码。建议用 encodeURIComponent() 处理游戏名后再拼 URL

© kennyzir, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in itchio-new-game-hunt of kennyzir/7deer_skills.

Open the folder on GitHubat commit 32a6881

Compare with similar skills

Itchio New Game Hunt next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Itchio New Game Hunt compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Itchio New Game Hunt this skillkennyzir/7deer_skills322—~3.3kAutomated safety check: PassMIT
Geo Fundamentalswasp-lang/wasp19k9 repos~861Automated safety check: PassMIT
Ab Testingcoreyhaines31/marketingskills54k3 repos~3.1kAutomated safety check: PassMIT
Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Itchio New Game Hunt

What does Itchio New Game Hunt do?

Hunt for fresh browser-playable games on itch.io /newest that are worth building SEO arbitrage sites for. Itchio New Game Hunt is an agent skill from kennyzir/7deer_skills.io /newest that are worth building SEO arbitrage sites for.

When should I use Itchio New Game Hunt?

Itchio New Game Hunt fits situations like: marketing & SEO work in your project.

How do I install Itchio New Game Hunt in Claude Code?

Run `npx skills add kennyzir/7deer_skills --skill itchio-new-game-hunt -a claude-code`. Or copy the skill folder (itchio-new-game-hunt in kennyzir/7deer_skills) into .claude/skills/itchio-new-game-hunt in your project. Claude Code loads it when a task matches its description.

How do I install Itchio New Game Hunt in Codex?

Run `npx skills add kennyzir/7deer_skills --skill itchio-new-game-hunt -a codex`. Or copy the skill folder (itchio-new-game-hunt in kennyzir/7deer_skills) into .agents/skills/itchio-new-game-hunt in your project. Codex loads it when a task matches its description.

Can I use Itchio New Game Hunt in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kennyzir/7deer_skills --skill itchio-new-game-hunt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/itchio-new-game-hunt, .gemini/skills/itchio-new-game-hunt, .github/skills/itchio-new-game-hunt and .opencode/skills/itchio-new-game-hunt in your project.

What does Itchio New Game Hunt need to run?

SKILL.md names no scripts, command-line tools or credentials: Itchio New Game Hunt is instructions for the agent only.

Does Itchio New Game Hunt access the network?

SKILL.md names 2 domains. In commands or code: itch.io and trends.google.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Itchio New Game Hunt safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Itchio New Game Hunt use?

Itchio New Game Hunt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Itchio New Game Hunt use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Itchio New Game Hunt?

Skills that share tags, products or a category with Itchio New Game Hunt: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Itchio New Game Hunt?

kennyzir (a GitHub user) maintains it in kennyzir/7deer_skills, which has 322 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 29, 2026.

Source: kennyzir/7deer_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.