DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
Create an interactive digital worked example sequence with fading for online or blended delivery.
Install Digital Worked Example Sequence
$ npx skills add GarethManning/education-agent-skills --skill digital-worked-example-sequence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GarethManning/education-agent-skills digital-worked-example-sequence --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/GarethManning/education-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-learning-science/digital-worked-example-sequence .claude/skills/digital-worked-example-sequence && 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 "digital-worked-example-sequence" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/digital-worked-example-sequence into .claude/skills/digital-worked-example-sequence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digital-worked-example-sequence", 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/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/digital-worked-example-sequenceType 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 GarethManning/education-agent-skills --skill digital-worked-example-sequence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GarethManning/education-agent-skills digital-worked-example-sequence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-learning-science/digital-worked-example-sequence .agents/skills/digital-worked-example-sequence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "digital-worked-example-sequence" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/digital-worked-example-sequence into .agents/skills/digital-worked-example-sequence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digital-worked-example-sequence", 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 GarethManning/education-agent-skills --skill digital-worked-example-sequence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GarethManning/education-agent-skills digital-worked-example-sequence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-learning-science/digital-worked-example-sequence .cursor/skills/digital-worked-example-sequence && 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 "digital-worked-example-sequence" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/digital-worked-example-sequence into .cursor/skills/digital-worked-example-sequence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digital-worked-example-sequence", 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/GarethManning/education-agent-skills.git --path skills/ai-learning-science/digital-worked-example-sequence--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 GarethManning/education-agent-skills --skill digital-worked-example-sequence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GarethManning/education-agent-skills digital-worked-example-sequence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-learning-science/digital-worked-example-sequence .gemini/skills/digital-worked-example-sequence && 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 "digital-worked-example-sequence" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/digital-worked-example-sequence into .gemini/skills/digital-worked-example-sequence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digital-worked-example-sequence", 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 GarethManning/education-agent-skills digital-worked-example-sequenceInstalls 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 GarethManning/education-agent-skills --skill digital-worked-example-sequence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-learning-science/digital-worked-example-sequence .github/skills/digital-worked-example-sequence && 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 "digital-worked-example-sequence" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/digital-worked-example-sequence into .github/skills/digital-worked-example-sequence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digital-worked-example-sequence", 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 GarethManning/education-agent-skills --skill digital-worked-example-sequence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GarethManning/education-agent-skills digital-worked-example-sequence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-learning-science/digital-worked-example-sequence .opencode/skills/digital-worked-example-sequence && 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 "digital-worked-example-sequence" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/digital-worked-example-sequence into .opencode/skills/digital-worked-example-sequence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digital-worked-example-sequence", 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
digital-worked-example-sequence- GitHub stars
- 835
- Token cost
- ~5.2k tokens
- SKILL.md length
- 1,788 words
- Files
- 1
- Skills in repo
- 142
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Create an interactive digital worked example sequence with fading for online or blended delivery.
- Works in 3 steps: Worked examples are most effective for… → Digital self-explanation prompts can… → The fading schedule above is a fixed…
- Building e-learning modules
- SKILL.md covers What This Skill Does, Evidence Foundation, Input Schema and Prompt, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Digital Worked Example Sequence is an agent skill from GarethManning/education-agent-skills. Create an interactive digital worked example sequence with fading for online or blended delivery. Use when building e-learning modules, LMS content, or app-based instruction.
Its SKILL.md is about 5.2k 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 Education. The repository describes itself as: 165 evidence-grounded AI skills for teachers, school leaders and EdTech builders—pedagogy, learning science, curriculum, assessment and regeneration. Claude, Codex and Hermes.
When your agent uses it
- Building e-learning modules
- App-based instruction
Example prompts
- “/digital-worked-example-sequence”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Worked examples are most effective for NOVICE learners. As students become proficient, worked examples become redundant and can actually…
- Digital self-explanation prompts can become perfunctory. Students may learn to type the minimum response to unlock the next step without…
- The fading schedule above is a fixed sequence. Truly adaptive fading would adjust the pace based on each student's performance — fading…
What it can do on your machine
Read from SKILL.md and the folder at commit 6bbbce4. 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.
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
Digital Worked Example Sequence loads about 5.2k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,788 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 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,788 words (~5,238 tokens).
“Designs a worked example sequence optimised for digital delivery — incorporating self-explanation prompts, a systematic fading schedule, and interactivity design that exploits what digital environments offer beyond paper. The sequence moves students from studying complete worked examples (where every step…”
- name
- digital-worked-example-sequence
- disable-model-invocation
- false
- user-invocable
- true
- effort
- medium
- skill_id
- ai-learning-science/digital-worked-example-sequence
- skill_name
- Digital Worked Example Sequence
- domain
- ai-learning-science
- version
- 1.0
- evidence_strength
- strong
- evidence_sources
- Sweller, van Merriënboer & Paas (2019) — Cognitive Architecture and Instructional Design: 20 Years Later, Renkl (2014) — Toward an instructionally oriented…
- output_schema.type
- object
Files
Just SKILL.md in skills/ai-learning-science/digital-worked-example-sequence of GarethManning/education-agent-skills.
Open the folder on GitHubat commit 6bbbce4
Compare with similar skills
Digital Worked Example Sequence 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 |
|---|---|---|---|---|---|---|
| Digital Worked Example Sequence this skillGarethManning/education-agent-skills | 835 | — | ~5.2k | Automated safety check: Pass | Custom licence | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Zhang Xuefeng Perspectivealchaincyf/zhangxuefeng-skill | 10k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Deep Reading Analystginobefun/deep-reading-analyst-skill | 353 | 5 repos | ~3.6k | Automated safety check: Pass | MIT | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT |
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Deep Reading Analyst
ginobefun/deep-reading-analyst-skill
Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems…
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Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.
OpenMAIC Setup and Extension
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Guides setup, classroom generation and secondary development for OpenMAIC, the multi-agent interactive classroom, one confirmed phase at a time.
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Related
Categories
Questions about Digital Worked Example Sequence
What does Digital Worked Example Sequence do?
Create an interactive digital worked example sequence with fading for online or blended delivery. Digital Worked Example Sequence is an agent skill from GarethManning/education-agent-skills. Create an interactive digital worked example sequence with fading for online or blended delivery.
When should I use Digital Worked Example Sequence?
Digital Worked Example Sequence fits situations like: building e-learning modules; app-based instruction.
How do I install Digital Worked Example Sequence in Claude Code?
Run `npx skills add GarethManning/education-agent-skills --skill digital-worked-example-sequence -a claude-code`. Or copy the skill folder (skills/ai-learning-science/digital-worked-example-sequence in GarethManning/education-agent-skills) into .claude/skills/digital-worked-example-sequence in your project. Claude Code loads it when a task matches its description.
How do I install Digital Worked Example Sequence in Codex?
Run `npx skills add GarethManning/education-agent-skills --skill digital-worked-example-sequence -a codex`. Or copy the skill folder (skills/ai-learning-science/digital-worked-example-sequence in GarethManning/education-agent-skills) into .agents/skills/digital-worked-example-sequence in your project. Codex loads it when a task matches its description.
Can I use Digital Worked Example Sequence 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 GarethManning/education-agent-skills --skill digital-worked-example-sequence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/digital-worked-example-sequence, .gemini/skills/digital-worked-example-sequence, .github/skills/digital-worked-example-sequence and .opencode/skills/digital-worked-example-sequence in your project.
What does Digital Worked Example Sequence need to run?
SKILL.md names no scripts, command-line tools or credentials: Digital Worked Example Sequence is instructions for the agent only.
Does Digital Worked Example Sequence 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 Digital Worked Example Sequence 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 Digital Worked Example Sequence use?
Digital Worked Example Sequence has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Digital Worked Example Sequence use?
About 5.2k tokens (SKILL.md is roughly 21k 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 Digital Worked Example Sequence?
Skills that share tags, products or a category with Digital Worked Example Sequence: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), Zhang Xuefeng Perspective (alchaincyf/zhangxuefeng-skill, 10k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars) and AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Digital Worked Example Sequence?
GarethManning (a GitHub user) maintains it in GarethManning/education-agent-skills, which has 835 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on August 28, 2026.
Source: GarethManning/education-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.