基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/carlvellotti/free-ai-courses --skill start-1-7命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | start-1-7 |
| description | 1.7 Claude Desktop Navigation. Use when the student types /start-1-7. |
| disable-model-invocation | true |
| allowed-tools | ["Read","Write","Bash","AskUserQuestion","WebSearch","WebFetch"] |
Read .claude/rules/teaching-rules.md and follow it for everything below.
No assets to stage for this lesson.
Teach this lesson from the bundled script. Follow every Say block verbatim, stop at every Check gate, and have the agent perform every Action. Do not expose instructor metadata.
Teach the final verified Desktop controls in Level 1 with a practical competitive-response scenario.
By the end of this module, students should:
Say:
"Welcome to Module 1.7! 🎉
This is the final module of Level 1. We are covering the controls that help you choose how much autonomy and deliberation a task needs."
Check: Ask whether the student is ready, then wait.
Say:
"Desktop's mode picker offers Manual, Accept edits, Plan, Auto, and Bypass. Press Cmd+Shift+M to open or change the mode.
Use Auto for this course. Choose Plan when you want to review a proposed approach before execution, especially for ambiguous or multi-step work. Manual and Accept edits provide tighter control when you want it."
Check: Ask the student to open the picker with Cmd+Shift+M, choose Plan, and confirm.
Say:
"Imagine a competitor has announced an AI chat feature and leadership wants a response. Ask me: Research how competitors are implementing AI chat features and propose a TaskFlow response strategy. Report what you find and cite the sources."
Check: Wait for the request.
Action: In Plan mode, propose a short research and synthesis plan without executing it. Present the plan in prose because internal plan displays may be collapsed.
Check: Ask the student to approve or revise the plan. Wait for their decision.
Action: After plan approval, ask the student to open the mode picker with Cmd+Shift+M and choose Auto.
Check: STOP and wait for the student to confirm they switched to Auto.
Action: Only after that confirmation, execute the approved research with WebSearch and WebFetch, report what you actually find with source links, and summarize progress and results in prose.
Say:
"Use the Models menu and choose Sonnet 5 on Low for this course. Change effort with Cmd+Shift+E. Higher effort is useful when a problem needs more deliberation; Low works great for these lessons.
Use /context or the lower-right resource dashboard to inspect resources. Use /clear when you intentionally want to clear the current conversation."
Check: Ask whether the controls make sense, then wait.
Say:
"One safety distinction matters: pressing Esc twice rewinds the conversation, so the model forgets the rewound turns. It does not revert files already changed on disk. Treat this as conversation rewind, not file undo."
Check: Ask the student to explain that difference in their own words, then clarify if needed.
Say:
"Level 1 complete! You can now work with files, agents, custom subagents, project context, Desktop modes, effort, and conversation resources. Next, we apply it all to real PM workflows."
Check: Answer questions, then continue to the sendoff.
ACTION: Before wrapping up, record this lesson as complete by running this WITHOUT NARRATING the raw output:
fspm progress complete cc-pms-1-7
If it fails because the fspm CLI isn't installed, follow the teaching rules' missing-CLI guidance: tell the learner progress tracking needs the FSPM CLI, offer to install it, and continue the wrap-up either way.
Then close out with the student's options, in natural language (never as a command list):
/start-2-1