AI Engineering Placement Quiz
rohitg00/ai-engineering-from-scratch
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.
Agent skill
Learning Path Structure Review
by ArmDeveloperEcosystem in ArmDeveloperEcosystem/arm-learning-paths
Review Arm Learning Paths for structural soundness, task ownership, scope discipline, progression, validation, further reading placement, recap sections, and performance-learning integrity.
Install Learning Path Structure Review
$ npx skills add ArmDeveloperEcosystem/arm-learning-paths --skill learning-path-structure-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ArmDeveloperEcosystem/arm-learning-paths learning-path-structure-review --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/ArmDeveloperEcosystem/arm-learning-paths.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/learning-path-structure-review .claude/skills/learning-path-structure-review && 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 "learning-path-structure-review" agent skill from https://github.com/ArmDeveloperEcosystem/arm-learning-paths/tree/main/.github/skills/learning-path-structure-review into .claude/skills/learning-path-structure-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-path-structure-review", 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/ArmDeveloperEcosystem/arm-learning-paths/tree/main/.github/skills/learning-path-structure-reviewType 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 ArmDeveloperEcosystem/arm-learning-paths --skill learning-path-structure-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ArmDeveloperEcosystem/arm-learning-paths learning-path-structure-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArmDeveloperEcosystem/arm-learning-paths.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/learning-path-structure-review .agents/skills/learning-path-structure-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learning-path-structure-review" agent skill from https://github.com/ArmDeveloperEcosystem/arm-learning-paths/tree/main/.github/skills/learning-path-structure-review into .agents/skills/learning-path-structure-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-path-structure-review", 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 ArmDeveloperEcosystem/arm-learning-paths --skill learning-path-structure-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ArmDeveloperEcosystem/arm-learning-paths learning-path-structure-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArmDeveloperEcosystem/arm-learning-paths.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/learning-path-structure-review .cursor/skills/learning-path-structure-review && 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 "learning-path-structure-review" agent skill from https://github.com/ArmDeveloperEcosystem/arm-learning-paths/tree/main/.github/skills/learning-path-structure-review into .cursor/skills/learning-path-structure-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-path-structure-review", 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/ArmDeveloperEcosystem/arm-learning-paths.git --path .github/skills/learning-path-structure-review--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 ArmDeveloperEcosystem/arm-learning-paths --skill learning-path-structure-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ArmDeveloperEcosystem/arm-learning-paths learning-path-structure-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArmDeveloperEcosystem/arm-learning-paths.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/learning-path-structure-review .gemini/skills/learning-path-structure-review && 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 "learning-path-structure-review" agent skill from https://github.com/ArmDeveloperEcosystem/arm-learning-paths/tree/main/.github/skills/learning-path-structure-review into .gemini/skills/learning-path-structure-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-path-structure-review", 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 ArmDeveloperEcosystem/arm-learning-paths learning-path-structure-reviewInstalls 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 ArmDeveloperEcosystem/arm-learning-paths --skill learning-path-structure-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ArmDeveloperEcosystem/arm-learning-paths.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/learning-path-structure-review .github/skills/learning-path-structure-review && 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 "learning-path-structure-review" agent skill from https://github.com/ArmDeveloperEcosystem/arm-learning-paths/tree/main/.github/skills/learning-path-structure-review into .github/skills/learning-path-structure-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-path-structure-review", 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 ArmDeveloperEcosystem/arm-learning-paths --skill learning-path-structure-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ArmDeveloperEcosystem/arm-learning-paths learning-path-structure-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArmDeveloperEcosystem/arm-learning-paths.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/learning-path-structure-review .opencode/skills/learning-path-structure-review && 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 "learning-path-structure-review" agent skill from https://github.com/ArmDeveloperEcosystem/arm-learning-paths/tree/main/.github/skills/learning-path-structure-review into .opencode/skills/learning-path-structure-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-path-structure-review", 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
learning-path-structure-review- GitHub stars
- 154
- Token cost
- ~1.2k tokens
- SKILL.md length
- 647 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Review Arm Learning Paths for structural soundness, task ownership, scope discipline, progression, validation, further reading placement, recap sections, and performance-learning integrity.
- Works in 9 steps: Identify the Learning Path directory and… → Summarize the developer task owned by LP… → Check the required file shape → …
- Asked to review
- SKILL.md covers Workflow, Scope rules, Performance integrity checks and Response format
- Calls git
What it does
Learning Path Structure Review is an agent skill from ArmDeveloperEcosystem/arm-learning-paths. Review Arm Learning Paths for structural soundness, task ownership, scope discipline, progression, validation, further reading placement, recap sections, and performance-learning integrity. Use when asked to review, create, reorganize, or assess the structure of content under content/learning-paths.
Its SKILL.md is about 1.2k 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, covering Curriculum and course design. The repository describes itself as: Arm Learning Paths: a repository of how-to content for software developers.
When your agent uses it
- Asked to review
- Assess the structure of content under content/learning-paths
Example prompts
- “/learning-path-structure-review”
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Identify the Learning Path directory and read the relevant Markdown files together.
- Summarize the developer task owned by LP in one sentence. If the task is unclear, too broad, or split across unrelated goals, flag it.
- Check the required file shape
- Review the instructional shape
- Review further_reading
- Review recap and transition sections
- If the Learning Path demonstrates Arm-specific performance features, apply the performance integrity checks.
- Report findings by learner impact, with file and line references when available. Do not comment on content that is already structurally…
- After splitting a page, run git add -- with every path affected by the split, including newly created files and the original path when it…
What it can do on your machine
Read from SKILL.md and the folder at commit 44a1644. 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
Shell commands in SKILL.md call:
git
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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
Learning Path Structure Review loads about 1.2k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 647 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 647 words (~1,242 tokens).
“Use this skill when a Learning Path needs a structural review. Focus on whether the content is organized to help a developer complete one clear task from preparation through validation.”
- name
- learning-path-structure-review
Files
Just SKILL.md in .github/skills/learning-path-structure-review of ArmDeveloperEcosystem/arm-learning-paths.
Open the folder on GitHubat commit 44a1644
Compare with similar skills
Learning Path Structure Review 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 |
|---|---|---|---|---|---|---|
| Learning Path Structure Review this skillArmDeveloperEcosystem/arm-learning-paths | 154 | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| K-12 Core Literacy Lesson DesignTHU-MAIC/OpenMAIC | 40k | — | ~2.4k | Automated safety check: Pass | MIT | |
| AnythingAtlasLiuziyu77/AnythingAtlas | 195 | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Codex Skill Self-AssessmentFlorianBruniaux/claude-code-ultimate-guide | 6.1k | — | ~2.3k | Automated safety check: Pass | CC-BY-SA-4.0 | |
| Curriculum PlannerTHU-MAIC/OpenMAIC | 40k | — | ~2.8k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Learning Path Structure Review
What does Learning Path Structure Review do?
Review Arm Learning Paths for structural soundness, task ownership, scope discipline, progression, validation, further reading placement, recap sections, and performance-learning integrity. Learning Path Structure Review is an agent skill from ArmDeveloperEcosystem/arm-learning-paths. Review Arm Learning Paths for structural soundness, task ownership, scope discipline, progression, validation, further reading placement, recap sections, and performance-learning integrity.
When should I use Learning Path Structure Review?
Learning Path Structure Review fits situations like: asked to review; assess the structure of content under content/learning-paths.
How do I install Learning Path Structure Review in Claude Code?
Run `npx skills add ArmDeveloperEcosystem/arm-learning-paths --skill learning-path-structure-review -a claude-code`. Or copy the skill folder (.github/skills/learning-path-structure-review in ArmDeveloperEcosystem/arm-learning-paths) into .claude/skills/learning-path-structure-review in your project. Claude Code loads it when a task matches its description.
How do I install Learning Path Structure Review in Codex?
Run `npx skills add ArmDeveloperEcosystem/arm-learning-paths --skill learning-path-structure-review -a codex`. Or copy the skill folder (.github/skills/learning-path-structure-review in ArmDeveloperEcosystem/arm-learning-paths) into .agents/skills/learning-path-structure-review in your project. Codex loads it when a task matches its description.
Can I use Learning Path Structure Review 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 ArmDeveloperEcosystem/arm-learning-paths --skill learning-path-structure-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-path-structure-review, .gemini/skills/learning-path-structure-review, .github/skills/learning-path-structure-review and .opencode/skills/learning-path-structure-review in your project.
What does Learning Path Structure Review need to run?
Going by SKILL.md and its folder, Learning Path Structure Review needs the command-line tools its instructions call (git).
Does Learning Path Structure Review access the network?
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Learning Path Structure Review 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 Learning Path Structure Review use?
Learning Path Structure Review 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 Learning Path Structure Review use?
About 1.2k tokens (SKILL.md is roughly 5k 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 Learning Path Structure Review?
Skills that share tags, products or a category with Learning Path Structure Review: AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars), K-12 Core Literacy Lesson Design (THU-MAIC/OpenMAIC, 40k stars), AnythingAtlas (Liuziyu77/AnythingAtlas, 195 stars) and Codex Skill Self-Assessment (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Learning Path Structure Review?
ArmDeveloperEcosystem (a GitHub organization) maintains it in ArmDeveloperEcosystem/arm-learning-paths, which has 154 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 7, 2026.
Source: ArmDeveloperEcosystem/arm-learning-paths on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.