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.
Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact.
Install AI Feedback Design Principles
$ npx skills add GarethManning/education-agent-skills --skill ai-feedback-design-principles -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GarethManning/education-agent-skills ai-feedback-design-principles --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/ai-feedback-design-principles .claude/skills/ai-feedback-design-principles && 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 "ai-feedback-design-principles" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/ai-feedback-design-principles into .claude/skills/ai-feedback-design-principles/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feedback-design-principles", 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/ai-feedback-design-principlesType 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 ai-feedback-design-principles -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GarethManning/education-agent-skills ai-feedback-design-principles --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/ai-feedback-design-principles .agents/skills/ai-feedback-design-principles && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-feedback-design-principles" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/ai-feedback-design-principles into .agents/skills/ai-feedback-design-principles/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feedback-design-principles", 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 ai-feedback-design-principles -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GarethManning/education-agent-skills ai-feedback-design-principles --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/ai-feedback-design-principles .cursor/skills/ai-feedback-design-principles && 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 "ai-feedback-design-principles" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/ai-feedback-design-principles into .cursor/skills/ai-feedback-design-principles/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feedback-design-principles", 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/ai-feedback-design-principles--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 ai-feedback-design-principles -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GarethManning/education-agent-skills ai-feedback-design-principles --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/ai-feedback-design-principles .gemini/skills/ai-feedback-design-principles && 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 "ai-feedback-design-principles" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/ai-feedback-design-principles into .gemini/skills/ai-feedback-design-principles/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feedback-design-principles", 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 ai-feedback-design-principlesInstalls 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 ai-feedback-design-principles -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/ai-feedback-design-principles .github/skills/ai-feedback-design-principles && 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 "ai-feedback-design-principles" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/ai-feedback-design-principles into .github/skills/ai-feedback-design-principles/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feedback-design-principles", 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 ai-feedback-design-principles -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 ai-feedback-design-principles --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/ai-feedback-design-principles .opencode/skills/ai-feedback-design-principles && 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 "ai-feedback-design-principles" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/ai-learning-science/ai-feedback-design-principles into .opencode/skills/ai-feedback-design-principles/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-feedback-design-principles", 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
ai-feedback-design-principles- GitHub stars
- 840
- Token cost
- ~5.8k tokens
- SKILL.md length
- 2,150 words
- Files
- 1
- Skills in repo
- 160
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact.
- Works in 5 steps: Specific positive feedback first,… → Names the underlying problem. "Assertion… → One specific, manageable action. Instead… → …
- Reviewing automated feedback in digital learning tools
- 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
AI Feedback Design Principles is an agent skill from GarethManning/education-agent-skills. Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact. Use when building or reviewing automated feedback in digital learning tools.
Its SKILL.md is about 5.8k 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
- Reviewing automated feedback in digital learning tools
Example prompts
- “/ai-feedback-design-principles”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Specific positive feedback first, directed at the task. "Your writing voice is confident and direct" with a quoted example — this is…
- Names the underlying problem. "Assertion vs. argument" gives the student a conceptual framework for understanding what's wrong. This is…
- One specific, manageable action. Instead of a list of vague improvements, the feedback gives ONE concrete task: find one piece of evidence…
- The counterargument instruction is scaffolded. It doesn't just say "address the opposing viewpoint" — it tells the student which opposing…
- The diagnostic task replaces the score. "Count the stars" is a self-regulation prompt that helps the student see the problem for…
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
AI Feedback Design Principles loads about 5.8k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 2,150 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 2,150 words (~5,757 tokens).
“Evaluates a proposed AI feedback design against research criteria for effective automated feedback and suggests specific improvements. This skill takes a feedback scenario (what the student did) and the current or proposed AI response (what the system says), then analyses…”
- name
- ai-feedback-design-principles
- disable-model-invocation
- false
- user-invocable
- true
- effort
- medium
- skill_id
- ai-learning-science/ai-feedback-design-principles
- skill_name
- AI Feedback Design Principles
- domain
- ai-learning-science
- version
- 1.0
- evidence_strength
- strong
- evidence_sources
- Shute (2008) — Focus on formative feedback (comprehensive review), Narciss (2008) — Feedback strategies for interactive learning tasks (informative tutoring…
- output_schema.type
- object
Files
Just SKILL.md in skills/ai-learning-science/ai-feedback-design-principles of GarethManning/education-agent-skills.
Open the folder on GitHubat commit 6bbbce4
Compare with similar skills
AI Feedback Design Principles 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 |
|---|---|---|---|---|---|---|
| AI Feedback Design Principles this skillGarethManning/education-agent-skills | 840 | — | ~5.8k | Automated safety check: Pass | Custom licence | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| Deep Reading Analystginobefun/deep-reading-analyst-skill | 354 | 4 repos | ~3.6k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Codebase to Coursezarazhangrui/codebase-to-course | 5.7k | — | ~4.4k | Automated safety check: Pass | None |
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Related
Categories
Questions about AI Feedback Design Principles
What does AI Feedback Design Principles do?
Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact. AI Feedback Design Principles is an agent skill from GarethManning/education-agent-skills. Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact.
When should I use AI Feedback Design Principles?
AI Feedback Design Principles fits situations like: reviewing automated feedback in digital learning tools.
How do I install AI Feedback Design Principles in Claude Code?
Run `npx skills add GarethManning/education-agent-skills --skill ai-feedback-design-principles -a claude-code`. Or copy the skill folder (skills/ai-learning-science/ai-feedback-design-principles in GarethManning/education-agent-skills) into .claude/skills/ai-feedback-design-principles in your project. Claude Code loads it when a task matches its description.
How do I install AI Feedback Design Principles in Codex?
Run `npx skills add GarethManning/education-agent-skills --skill ai-feedback-design-principles -a codex`. Or copy the skill folder (skills/ai-learning-science/ai-feedback-design-principles in GarethManning/education-agent-skills) into .agents/skills/ai-feedback-design-principles in your project. Codex loads it when a task matches its description.
Can I use AI Feedback Design Principles 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 ai-feedback-design-principles -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-feedback-design-principles, .gemini/skills/ai-feedback-design-principles, .github/skills/ai-feedback-design-principles and .opencode/skills/ai-feedback-design-principles in your project.
What does AI Feedback Design Principles need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Feedback Design Principles is instructions for the agent only.
Does AI Feedback Design Principles 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 AI Feedback Design Principles 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 AI Feedback Design Principles use?
AI Feedback Design Principles 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 AI Feedback Design Principles use?
About 5.8k tokens (SKILL.md is roughly 23k 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 AI Feedback Design Principles?
Skills that share tags, products or a category with AI Feedback Design Principles: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 354 stars) and OpenMAIC Setup and Extension (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Feedback Design Principles?
GarethManning (a GitHub user) maintains it in GarethManning/education-agent-skills, which has 840 GitHub stars. The repository holds 160 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.