Onboard
alirezarezvani/claude-skills
/cs:onboard — Founder interview that populates ~/.claude/company-context.md using the canonical 7-dimension cs-onboard schema.
cheat-on-skill 的首次 onboarding。盘点用户能力（现有技能/可迁移底子/学历经验/每周可学时间/能坚持几个月/学习能力自评/地区/目标薪资/转型紧迫度），判定起点档位，创建 .skill-state.json 状态文件，是 skill-scan / skill-plan 的前置。触发词："能力盘点"/"我想转AI相关工作"/"找AI时代高薪工作"/"skill…
MITAuto-check: notes
Install Skill Init
$ npx skills add XBuilderLAB/cheat-on-skill --skill skill-init -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install XBuilderLAB/cheat-on-skill skill-init --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/XBuilderLAB/cheat-on-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-init .claude/skills/skill-init && rm -rf skills-srcUse ~/.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/
Install the "skill-init" agent skill from https://github.com/XBuilderLAB/cheat-on-skill/tree/main/skills/skill-init into .claude/skills/skill-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-init", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/XBuilderLAB/cheat-on-skill/tree/main/skills/skill-initType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add XBuilderLAB/cheat-on-skill --skill skill-init -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install XBuilderLAB/cheat-on-skill skill-init --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/XBuilderLAB/cheat-on-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skill-init .agents/skills/skill-init && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-init" agent skill from https://github.com/XBuilderLAB/cheat-on-skill/tree/main/skills/skill-init into .agents/skills/skill-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-init", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add XBuilderLAB/cheat-on-skill --skill skill-init -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install XBuilderLAB/cheat-on-skill skill-init --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/XBuilderLAB/cheat-on-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skill-init .cursor/skills/skill-init && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skill-init" agent skill from https://github.com/XBuilderLAB/cheat-on-skill/tree/main/skills/skill-init into .cursor/skills/skill-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-init", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/XBuilderLAB/cheat-on-skill.git --path skills/skill-init--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add XBuilderLAB/cheat-on-skill --skill skill-init -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install XBuilderLAB/cheat-on-skill skill-init --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/XBuilderLAB/cheat-on-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skill-init .gemini/skills/skill-init && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "skill-init" agent skill from https://github.com/XBuilderLAB/cheat-on-skill/tree/main/skills/skill-init into .gemini/skills/skill-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-init", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install XBuilderLAB/cheat-on-skill skill-initInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add XBuilderLAB/cheat-on-skill --skill skill-init -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/XBuilderLAB/cheat-on-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skill-init .github/skills/skill-init && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "skill-init" agent skill from https://github.com/XBuilderLAB/cheat-on-skill/tree/main/skills/skill-init into .github/skills/skill-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-init", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add XBuilderLAB/cheat-on-skill --skill skill-init -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install XBuilderLAB/cheat-on-skill skill-init --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/XBuilderLAB/cheat-on-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skill-init .opencode/skills/skill-init && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skill-init" agent skill from https://github.com/XBuilderLAB/cheat-on-skill/tree/main/skills/skill-init into .opencode/skills/skill-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-init", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
skill-init- GitHub stars
- 194
- Token cost
- ~697 tokens
- SKILL.md length
- 148 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- MIT
At a glance
cheat-on-skill 的首次 onboarding。盘点用户能力（现有技能/可迁移底子/学历经验/每周可学时间/能坚持几个月/学习能力自评/地区/目标薪资/转型紧迫度），判定起点档位，创建 .skill-state.json 状态文件，是 skill-scan / skill-plan 的前置。触发词："能力盘点"/"我想转AI相关工作"/"找AI时代高薪工作"/"skill…
- Works in 6 steps: 检测状态 → 首屏文案（原样表达这几点） → 能力盘点 7 问（一次性问完，允许"不确定"记 null） → …
- SKILL.md covers 设计哲学（必须先认同）, Overview, Phase 0 — 检测状态 and Phase 1 — 首屏文案（原样表达这几点）, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Skill Init is an agent skill from XBuilderLAB/cheat-on-skill. cheat-on-skill 的首次 onboarding。盘点用户能力（现有技能/可迁移底子/学历经验/每周可学时间/能坚持几个月/学习能力自评/地区/目标薪资/转型紧迫度），判定起点档位，创建 .skill-state.json 状态文件，是 skill-scan / skill-plan 的前置。触发词："能力盘点"/"我想转AI相关工作"/"找AI时代高薪工作"/"skill init"/"职业转型初始化"。当用户想找/规划 AI 时代工作但 .skill-state.json 不存在时，先路由到此。
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: 帮你在 AI 时代找到一份高薪 × 你学得动 × 不会被 AI 吃掉的工作，并给出个性化学习陪跑计划。能力匹配 + 可学性闸门 + BOSS 直聘真实招聘数据 + 反诈。 The licence is MIT.
Example prompts
- “我想转AI相关工作”
- “找AI时代高薪工作”
- “skill init”
- “/skill-init”
Requirements
- Pre-approved tools (allowed-tools): Bash(*), Read, Write, Edit, Glob, Skill
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 780a8d1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteEditGlobSkill
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 bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Skill Init loads about 697 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 148 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash(*), Read, Write, Edit, Glob, Skill
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 XBuilderLAB/cheat-on-skill at commit 780a8d1, republished under its MIT licence (© XBuilderLAB). 148 words, ~697 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-init/SKILL.md (or your agent's skills folder).- name
- skill-init
- description
- cheat-on-skill 的首次 onboarding。盘点用户能力（现有技能/可迁移底子/学历经验/每周可学时间/能坚持几个月/学习能力自评/地区/目标薪资/转型紧迫度），判定起点档位，创建 .skill-state.json 状态文件，是 skill-scan / skill-plan 的前置。触发词："能力盘点"/"我想转AI相关工作"/"找AI时代高薪工作"/"skill init"/"职业转型初始化"。**当用户想找/规划 AI 时代工作但 .skill-state.json 不存在时，先路由到此。**
- allowed-tools
- Bash(*), Read, Write, Edit, Glob, Skill
/skill-init — cheat-on-skill 首次 onboarding（能力盘点）
把用户从"我想找个 AI 时代的高薪工作"带到"有了一份清晰能力画像、可以开始找岗位"，全程 ≤ 5 分钟。
设计哲学（必须先认同）
这套工具的差异点不是"列高薪职业"，是 能力匹配 + 可学性闸门 + 真实招聘数据 + 反诈。 所以 init 的目标不是给岗位，而是先建立"值得学 = 对你值得学"的前提：没有能力画像，任何高薪岗位都是别人的画饼。
Overview
[用户首次说"我想找AI时代的高薪工作"]
→ Phase 0: 检测 .skill-state.json 是否存在
→ Phase 1: 首屏文案（期望管理 + 反诈承诺）
→ Phase 2: 能力盘点 7 问（一次问完，允许"不确定"）
→ Phase 2.5: 起点档位识别（S0–S3）
→ Phase 3: 写入 .skill-state.json
→ Phase 4: 下一步清单Phase 0 — 检测状态
test -f .skill-state.json && echo EXISTS || echo MISSING- 已存在：告诉用户已初始化，问要不要更新画像（走 Edit），否则路由到 skill-scan。
- 不存在：继续。
Phase 1 — 首屏文案（原样表达这几点）
- 这工具不会给你"AI 高薪职业 Top10"那种水文清单——那些利益不中立，多是卖课漏斗。
- 我会做四件别人不做的事：① 按你的真实底子匹配岗位，不给通用清单 ② 用 BOSS 直聘真实招聘数据看哪些 AI 岗在招、给多少 ③ 给每个岗位算"以你的起点学得动吗"的可学性分 ④ 培训贷/包就业/付费内推一律过反诈红线淘汰。
- 转型通常要几个月的真实投入，不是"30 天速成"。认同我们再往下。
Phase 2 — 能力盘点 7 问（一次性问完，允许"不确定"记 null）
- 你现在的技能/职业是什么？（写作/运营/设计/销售/编程/数据/外语/财会/某行业专业…）——这是迁移的本钱。
- 想转的方向沾边吗？（完全跨行 / 用旧技能升级 / 不确定）——决定跨度大小。
- 学历 + 工作年限？（部分 AI 岗有学历或经验门槛，得提前知道哪些够不着）
- 每周能稳定投入几小时学习？能坚持几个月？——时间预算是可学性的硬约束。
- 学习能力/自驱自评？（容易坚持 / 需要督促 / 自学过新东西吗）——用于周期估计乐观还是保守。
- 所在地区 + 目标薪资？（影响城市岗位密度和现实预期）
- 转型紧迫度？（在职慢慢转 / 急需尽快上岸）——影响是稳扎稳打还是先够一个跳板岗。
第 1、2 题重点提炼可迁移能力（transferable），写进 state，scan 时用它缩小差距。
Phase 2.5 — 起点档位识别（关键）
读 ../../shared-references/role-tiers.md，按"可迁移底子 × 可投入资源 × 学习能力"归到 S0/S1/S2/S3：
- 有行业纵深（医疗/法律/金融/教育等）+ 愿学 AI → 倾向 S3
- 会编程/数据 或愿系统学编程 → S2
- 有内容/运营/设计/销售/外语等软底子、会用 AI 工具 → S1
- 跨度大、零相关底子 → S0
不确定就低不就高。判完明确告诉用户判成哪档、为什么，说"你比我更懂自己，可以改"。把
start_tier+tier_reason写进 state。
Phase 3 — 写入状态文件
读 ../../templates/skill-state.template.json，填入答案（含 start_tier/tier_reason/transferable）。
写入前先用系统时间取当前时间和本机时区（不要写死任何固定城市/时区，一律跟用户的系统走）：
date '+%Y-%m-%d %H:%M %Z %z' # 当前时间 + 时区缩写 + UTC 偏移（如 CST +0800）
readlink /etc/localtime 2>/dev/null | sed 's#.*/zoneinfo/##' # IANA 时区 ID（如 Asia/Shanghai；读不到就留空让用户确认）created_at 写当天日期（YYYY-MM-DD），created_at_full 写具体时间和时区（用上面读到的，例：2026-06-26 22:06 CST +0800），timezone_id 写读到的 IANA 时区 ID（如 Asia/Shanghai），timezone_label 写对应的本地时区名（如 中国标准时间）。给用户展示时用本机时区，不要写死成某个国家的时间。写到当前工作目录的 .skill-state.json。删掉 candidate_roles 里的示例项。
Phase 4 — 下一步清单
告诉用户现在可以说：
- "帮我找岗位" → 走
skill-scan（连 BOSS + 网页信号，按你的画像找「高薪 × 可学 × AI 增强」候选岗位） - "我选 XX 这个岗位，做学习计划" → 走
skill-plan
© XBuilderLAB, 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 skills/skill-init of XBuilderLAB/cheat-on-skill.
Open the folder on GitHubat commit 780a8d1
Compare with similar skills
Skill Init 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Init this skillXBuilderLAB/cheat-on-skill | 194 | — | ~697 | Automated safety check: Notes | MIT | |
| Onboardalirezarezvani/claude-skills | 28k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Codebase Onboardingaffaan-m/ECC | 274k | 3 repos | ~2k | Automated safety check: Pass | MIT | |
| Initasgeirtj/system_prompts_leaks | 69k | — | ~5.5k | Automated safety check: Pass | CC0-1.0 | |
| Initasgeirtj/system_prompts_leaks | 69k | — | ~602 | Automated safety check: Pass | CC0-1.0 | |
| Onboardingsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.8k | Automated safety check: Pass | MIT |
Similar skills
Codebase Onboarding
affaan-m/ECC
Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md.
Init
asgeirtj/system_prompts_leaks
Initialize new CLAUDE.md file(s) and optional skills/hooks with codebase documentation
Init
asgeirtj/system_prompts_leaks
Initialize a new CLAUDE.md file with codebase documentation. An agent skill from asgeirtj/system_prompts_leaks.
Onboarding
sickn33/agentic-awesome-skills
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value.
Cheat-on-Content Setup
XBuilderLAB/cheat-on-content
Onboards a new user to the cheat-on-content workflow with a short question flow, creating the project scaffolding and optionally importing past video history.
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Questions about Skill Init
What does Skill Init do?
cheat-on-skill 的首次 onboarding。盘点用户能力（现有技能/可迁移底子/学历经验/每周可学时间/能坚持几个月/学习能力自评/地区/目标薪资/转型紧迫度），判定起点档位，创建 .skill-state.json 状态文件，是 skill-scan / skill-plan 的前置。触发词："能力盘点"/"我想转AI相关工作"/"找AI时代高薪工作"/"skill…. Skill Init is an agent skill from XBuilderLAB/cheat-on-skill.
How do I install Skill Init in Claude Code?
Run `npx skills add XBuilderLAB/cheat-on-skill --skill skill-init -a claude-code`. Or copy the skill folder (skills/skill-init in XBuilderLAB/cheat-on-skill) into .claude/skills/skill-init in your project. Claude Code loads it when a task matches its description.
How do I install Skill Init in Codex?
Run `npx skills add XBuilderLAB/cheat-on-skill --skill skill-init -a codex`. Or copy the skill folder (skills/skill-init in XBuilderLAB/cheat-on-skill) into .agents/skills/skill-init in your project. Codex loads it when a task matches its description.
Can I use Skill Init 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 XBuilderLAB/cheat-on-skill --skill skill-init -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-init, .gemini/skills/skill-init, .github/skills/skill-init and .opencode/skills/skill-init in your project.
What does Skill Init need to run?
SKILL.md names no scripts, command-line tools or credentials: Skill Init is instructions for the agent only. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit, Glob, Skill.
Does Skill Init access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Skill Init safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Skill Init use?
Skill Init 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 Skill Init use?
About 697 tokens (SKILL.md is roughly 2.8k 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 Skill Init?
Skills that share tags, products or a category with Skill Init: Onboard (alirezarezvani/claude-skills, 28k stars), Codebase Onboarding (affaan-m/ECC, 274k stars), Init (asgeirtj/system_prompts_leaks, 69k stars) and Init (asgeirtj/system_prompts_leaks, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Init?
XBuilderLAB (a GitHub organization) maintains it in XBuilderLAB/cheat-on-skill, which has 194 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on June 27, 2026.
Source: XBuilderLAB/cheat-on-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.