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Learning Progress Coach (skill-status)

Reads your `.skill-state.json` learning plan and progress, then hands you at most three concrete tasks for today with completion criteria, saving every artifact to disk.

EducationBeginner★ 194⑂ 16AI score 8/10Last updated: Jun 27, 2026

What it does

  • Triggers on phrases like "what should I do today", "continue", "where was I", "I'm stuck", "check in", "what's next".
  • Loads .skill-state.json (target, current week/day, completed tasks, blockers, retro log) and recaps your context first so you never re-explain yourself.
  • Gives at most three tasks per day, specific enough to say what to open, what to type, and what to produce — plus an explicit "done when..." bar.
  • On check-in it writes your output to real files under workspace/day-NN/, promotes finished work to workspace/portfolio/<project>/, and records file paths (not vague sentences) in completed_tasks[] with a timestamp from date.
  • Adapts pacing: shrinks tasks when you fall behind, adds stretch work when you're ahead, pulls you back to "portfolio first" when you drift, and warns you off training loans / guaranteed-job / paid-referral scams.
  • Ships a built-in week-1 curriculum (pick a tool → summarize → lock output format → add QA → record a demo → write the write-up → retrospective).

Who it's for

  • Self-learners who lose momentum and hate re-establishing context each session.
  • People building an AI-tool portfolio (Coze, Dify, agents) for a career switch.
  • Users who already generated a plan with the companion skill-plan skill in the same repo.

Examples

  1. Morning kickoff: "What should I do today?" → "You're on week 1, day 3; goal is locking the output format. Three tasks: design the template, test three different inputs, log where it's unstable."
  2. Check-in: "Finished day 1, here's my prompt" → saved as workspace/day-01/agent-prompt-v1.md, logged in completed_tasks[], day counter advanced to 2.
  3. Stuck: "It keeps erroring out" → no direction change, just one minimal repair action: "Stop adding features today; paste the error and we'll get it running."

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/XBuilderLAB/cheat-on-skill/HEAD/skills/skill-status/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/skill-status folder from the GitHub repo XBuilderLAB/cheat-on-skill into my ~/.claude/skills/skill-status/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/XBuilderLAB/cheat-on-skill.git && mkdir -p ~/.claude/skills && cp -r cheat-on-skill/skills/skill-status ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repo: git clone https://github.com/XBuilderLAB/cheat-on-skill.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r cheat-on-skill/skills/skill-status ~/.claude/skills/
  5. This skill depends on a plan file, so copying the whole set (including skill-plan) is recommended: cp -r cheat-on-skill/skills/* ~/.claude/skills/
  6. Restart Claude Code, open your project folder, and type "what should I do today?" or /skill-status.
  7. If it reports a missing .skill-state.json, run the skill-plan skill first to generate your learning plan, then retry.

Note: the source skill is written in Chinese and its defaults assume Chinese AI tools (Coze/Dify); ask Claude to respond in English and substitute your preferred tools.

View source on GitHub ↗License: MIT