16 關免費主線已開放 · Skill 池內測期免費領取 從第一關開始
新手學AI Skills 定價
語言:
English 繁體中文 日本語 Español
實測環境:
Codex · Windows
Agent/模型費用依供應商而定;額外服務與依賴詳見完整包。
Node.js 18+; computer stays running

主線哪幾關用到它

Skill 是一把武器,配合新手主線實操,打通從「會玩」到「精通」的打怪升級全流程。

帶著這次成果繼續: 發布、分享与變現 →

✓ 適合誰 (Good Fit)
  • 沿主線動手學習的 AI 新手
  • 從對應關卡開始;頁面瀏覽不會被當成任務完成。
⊗ 不適合誰 (Not For)
  • 超出本次任務的無人值守操作或未核准的帳號存取
✦ 你會得到 (What You Get)
  • 实现一次无人值守的定时执行
  • 无人工介入产出了正确结果
  • 日志能证明它自己跑的,失败路径也有记录

交付內容:完整 SKILL.md 規則文件 + 公開自測樣例。需要在你自己的 AI Agent 中運行。

怎麼開始?

Skill 是一份教 AI 完成任務的規則。

領取並安裝 ↑
1
提供手上的材料
让你的一条 skill 流程在无人值守下定时执行一次。
2
讓 Agent 按規則完成
实现一次无人值守的定时执行
3
打開並核對真實產出
无人工介入产出了正确结果
發給你的 AI Agent

用 automation 帶我完成這一關。缺少材料先問我,實際使用工具並儲存結果,再按關卡判據核對。

使用前了解 證據會標明實測範圍;模型與權限依你的 Agent 而異。解壓成功不等於已被 Agent 自動發現。 Agent/模型費用依供應商而定;額外服務與依賴詳見完整包。

從這裡開始使用

压缩包里是规则、参考库、脚本、真实产出和演示片,不只是一个提示词文件。

  1. 打開 Codex 或 Claude Code,粘貼安裝提示詞。
  2. 讓 Agent 讀取並保存完整規則,確認安裝成功。
  3. 複製上方使用示例,換成你的素材開始運行。
手動安裝 · 查看完整 SKILL.md(58 行)

Codex:~/.agents/skills/automation/SKILL.md
Claude Code:~/.claude/skills/automation/SKILL.md

--- name: automation description: Schedule one bounded local Skill workflow for a later time, then verify the unattended result, timing and failure log. Use when a learner has an already-working workflow and wants a first observable automation run. --- # Let a small workflow run once Main quest 4-3. Start with one bounded, reversible run before recurring jobs. ## Define the run Choose an already-tested workflow, source folder, new result folder and execution time. State side effects and dependencies. Keep the first exercise to local public practice data. Do not schedule sending, spending, deleting or publishing unless that exact action is already authorized. For recurrence use the Agent/app's supported automation system; this package's helper is a local one-shot timer. The helper needs Node.js 18+, a running computer and a process that survives until execution. It does not wake a sleeping computer, persist after restart or run a new language-model session. ## Local first exercise The included workflow observes direct children of a selected folder using the first-agent helper. Inspect the plan before launching. Paths are resolved relative to the plan file. The result directory must not exist; the helper preserves prior runs instead of overwriting them. Use a short delay for practice and a new directory for each run: ```text node <installed-skill>/scripts/schedule-once.mjs <plan.json> ``` Plan fields: `source`, `jobDirectory`, `delayMs` (1000–60000). The parent starts one separate hidden local worker and exits. The worker writes scheduled/due/start/finish times, process ID, exit status and log. Read `references/automation-check.md` to interpret what the receipt proves. To stop a pending practice run, use the printed process ID only after checking that it belongs to this job; do not kill unrelated processes. ## Verify after the due time Read `status.json`, `job.log` and, on success, `result.json` in the job directory. Check that start was at or after due time and that the child process differs from the launcher. Reconcile observed filenames to the actual source folder. For a missing source, expect FAILED and an error log, not an empty success result. If the computer stopped or the worker did not complete, record UNKNOWN or FAILED rather than claiming unattended success. Do not interpret a scheduled record as proof of execution. ## Self-tests and failure criteria 1. Schedule observation of a public folder with two different named files; leave the worker to execute and reconcile the delayed result. 2. Use a separate Unicode-named folder with different contents and a new job directory; verify the different inventory. 3. Schedule a nonexistent source. Verify nonzero workflow exit, FAILED status and no successful result file. 4. An existing job directory must be preserved and scheduling must refuse to reuse it. Failure means running before due time, an overwritten result, an unlogged failure or a completion claim without an actual worker result. ## Continue Return `/path/automation/`. Next `/path/publish-skill/`: publish a version only after its package and examples are verified. Original free workflow. No extra API or service fee; Agent/model fees remain separate.

新手常問 (FAQ)

有疑惑?先看看這裡,買前明明白白,用時順順利利。

怎麼開始? +
下載完整 ZIP,把安裝提示交給 Agent,保留腳本與參考檔案。模型費用另計。
主線 Skill 免費嗎? +
這些基礎主線 Skill 免費;進階工作室商品沿用各自定價。
菜鸟skill 會員

讓每一種重複,
都有解法。

一個訂閱,解鎖全部工作室 Skills。只需要這一款?也可以單獨獲取。

比較完整方案
免費 让它自己跑
免費獲取