Navigating GitHub
jeremylongshore/tons-of-skills-marketplace
First-time GitHub setup and interactive git learning. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Offers short, optional learning exercises after architectural work so you understand AI-written code instead of just accepting it.
Install Learning Opportunities
$ npx skills add tech-leads-club/agent-skills --skill learning-opportunities -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tech-leads-club/agent-skills learning-opportunities --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/tech-leads-club/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'packages/skills-catalog/skills/(learning)/learning-opportunities' .claude/skills/learning-opportunities && 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-opportunities" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(learning)/learning-opportunities into .claude/skills/learning-opportunities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-opportunities", 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/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(learning)/learning-opportunitiesType 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 tech-leads-club/agent-skills --skill learning-opportunities -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tech-leads-club/agent-skills learning-opportunities --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'packages/skills-catalog/skills/(learning)/learning-opportunities' .agents/skills/learning-opportunities && 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-opportunities" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(learning)/learning-opportunities into .agents/skills/learning-opportunities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-opportunities", 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 tech-leads-club/agent-skills --skill learning-opportunities -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tech-leads-club/agent-skills learning-opportunities --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'packages/skills-catalog/skills/(learning)/learning-opportunities' .cursor/skills/learning-opportunities && 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-opportunities" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(learning)/learning-opportunities into .cursor/skills/learning-opportunities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-opportunities", 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/tech-leads-club/agent-skills.git --path 'packages/skills-catalog/skills/(learning)/learning-opportunities'--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 tech-leads-club/agent-skills --skill learning-opportunities -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tech-leads-club/agent-skills learning-opportunities --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'packages/skills-catalog/skills/(learning)/learning-opportunities' .gemini/skills/learning-opportunities && 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-opportunities" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(learning)/learning-opportunities into .gemini/skills/learning-opportunities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-opportunities", 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 tech-leads-club/agent-skills learning-opportunitiesInstalls 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 tech-leads-club/agent-skills --skill learning-opportunities -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'packages/skills-catalog/skills/(learning)/learning-opportunities' .github/skills/learning-opportunities && 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-opportunities" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(learning)/learning-opportunities into .github/skills/learning-opportunities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-opportunities", 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 tech-leads-club/agent-skills --skill learning-opportunities -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tech-leads-club/agent-skills learning-opportunities --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'packages/skills-catalog/skills/(learning)/learning-opportunities' .opencode/skills/learning-opportunities && 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-opportunities" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(learning)/learning-opportunities into .opencode/skills/learning-opportunities/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-opportunities", 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-opportunities- GitHub stars
- 7k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 461 words
- Files
- 2 (incl. references)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- CC-BY-4.0
At a glance
Offers short, optional learning exercises after architectural work so you understand AI-written code instead of just accepting it.
- Works in 3 steps: Predict then observe → Generate then compare → Teach it back
- After a feature adds new modules and you want to be sure you follow the design
- SKILL.md covers When to offer exercises, When NOT to offer, Core principle: Pause for input and Exercise types, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
After the agent creates new files or modules, changes a database schema, makes an architectural decision or introduces an unfamiliar pattern, it offers an optional 10-15 minute exercise and always asks first. It stays quiet if you declined one this session, already finished 2, sound hurried, or are in a pure debugging or hotfix situation.
Once a question is asked, the agent must stop and wait for your answer, with no hints or suggested answers. If you are wrong it says so directly and explores the gap; if you are right it confirms and pushes further. Exercise types include predict then observe, generate then compare and teach it back, plus hands-on code exploration. `references/PRINCIPLES.md` explains the learning science behind the techniques.
When your agent uses it
- After a feature adds new modules and you want to be sure you follow the design
- When you ask why a piece of generated code works the way it does
- Working with an agent regularly while keeping your own skills sharp
Example prompts
- “Quiz me on the auth middleware you just wrote; I want to understand it properly.”
- “Give me a learning exercise on the schema change we just made.”
- “Teach me how this caching layer works, and let me predict its behavior first.”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 6df68d5. 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
Learning Opportunities loads about 1.3k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 125 tokens; SKILL.md has 461 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
The full file from tech-leads-club/agent-skills at commit 6df68d5, republished under its CC-BY-4.0 licence (© tech-leads-club). 461 words, ~1,253 tokens.
Download SKILL.mdSave it as
.claude/skills/learning-opportunities/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- learning-opportunities
- description
- Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Triggers on "learning exercise", "help me understand", "teach me", "why does this work", or after creating new files/modules. Do NOT use for urgent debugging, quick fixes, or when user says "just ship it".
- license
- CC-BY-4.0
- metadata.original_author
- Chris Hicks
- metadata.modified_by
- Felipe Rodrigues - github.com/felipfr
- metadata.source
- https://www.fightforthehuman.com
- metadata.version
- 1.1.0
Learning Opportunities
Facilitate deliberate skill development during AI-assisted coding sessions. Offer short, optional exercises that counteract passive consumption of AI-generated code.
When adapting techniques or making judgment calls about learning approaches, consult references/PRINCIPLES.md for the underlying learning science.
When to offer exercises
Offer an optional 10-15 minute exercise after:
- Creating new files or modules
- Database schema changes
- Architectural decisions or refactors
- Implementing unfamiliar patterns
- Any work where the user asked "why" questions during development
Always ask before starting: "Would you like to do a quick learning exercise on [topic]? About 10-15 minutes."
When NOT to offer
- User declined an exercise this session
- User already completed 2 exercises this session
- User signals urgency ("fix this quick", "just ship it", "deploy now")
- Pure debugging/hotfix context
Keep offers to one short sentence. Do not repeat or insist.
Core principle: Pause for input
This is the most important rule. After posing a question:
- Stop generating immediately. Do not continue after the question mark.
- Do not generate suggested answers, hints, examples, or encouragement like "Think about..." or "Consider..."
- Wait for the user's actual response before continuing.
Allowed after the question:
- "(Take your best guess — wrong predictions are useful data.)"
- "(Or we can skip this one.)"
After their response:
- If correct: confirm and deepen ("Exactly. And what would change if [variation]?")
- If wrong: be direct about what's incorrect, then explore the gap — this is high-value learning
Exercise types
1. Predict then observe
Ask what they predict will happen in a specific scenario before revealing the answer.
Example:
User just created auth middleware.
Agent: "Would you like a quick learning exercise on middleware patterns?"
User: "sure"
Agent: "What do you think happens when a request hits your middleware with an expired token?
(Take your best guess — wrong predictions are useful data.)"
[STOP — wait for response]
After response:
Agent: "Actually [correct behavior]. The key difference is [explanation].
What surprised you about that?"
[STOP — wait for response]2. Generate then compare
Ask them to sketch an approach before showing the actual implementation.
Example:
Agent: "Before I show you — how would you structure the error handling for this API endpoint?"
[STOP — wait for response]
After response:
Agent: "Here's what we went with: [implementation].
What's similar to your approach? What's different, and why do you think we chose this direction?"
[STOP — wait for response]3. Teach it back
Ask them to explain a component as if to a new team member.
Example:
Agent: "Explain how the caching layer we just built works, as if I'm a new developer joining the project."
[STOP — wait for response]
After response:
Agent: "You nailed [specific part]. One thing to refine: [specific gap]."Show full SKILL.md (176 more words)Show less
Hands-on code exploration
Prefer directing users to files over showing code snippets. Having learners locate code themselves builds codebase familiarity.
Adjust guidance based on demonstrated familiarity:
- Early: "Open
src/middleware/auth.ts, around line 45. What doesvalidateTokenreturn?" - Later: "Find where we handle token refresh."
- Eventually: "Where would you look to change how session expiry works?"
After they locate code, prompt self-explanation:
"You found it. Before I say anything — what do you think this line does?"
Techniques to weave in naturally
- "Why" questions: "Why did we use a Map here instead of an object?"
- Transfer prompts: "This is the strategy pattern. Where else in this codebase might it apply?"
- Varied context: "We used this for auth — how would you apply it to API rate limiting?"
- Error analysis: "Here's a bug someone might introduce — what would go wrong and why?"
Anti-patterns to avoid
- Dumping multiple questions at once
- Softening wrong answers into ambiguity ("well, that's partially right...")
- Offering exercises more than twice per session
- Making exercises feel like tests rather than exploration
- Continuing to generate after posing a question
© tech-leads-club, CC-BY-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in packages/skills-catalog/skills/(learning)/learning-opportunities of tech-leads-club/agent-skills.
- SKILL.md
- references/PRINCIPLES.md
Open the folder on GitHubat commit 6df68d5
Compare with similar skills
Learning Opportunities 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 Opportunities this skilltech-leads-club/agent-skills | 7k | — | ~1.3k | Automated safety check: Pass | CC-BY-4.0 | |
| Navigating GitHubjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.3k | Automated safety check: Notes | MIT | |
| Claude Code Skill Assessmentluongnv89/claude-howto | 42k | — | ~5.6k | Automated safety check: Pass | MIT | |
| MCPA Certification Tutorrohitg00/ai-engineering-from-scratch | 67k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Learning Medusamedusajs/medusa-agent-skills | 228 | — | ~4.1k | Automated safety check: Pass | None | |
| Interviewgenkovich/sdd | 171 | — | ~3.8k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Learning Opportunities
What does Learning Opportunities do?
Offers short, optional learning exercises after architectural work so you understand AI-written code instead of just accepting it. After the agent creates new files or modules, changes a database schema, makes an architectural decision or introduces an unfamiliar pattern, it offers an optional 10-15 minute exercise and always asks first. It stays quiet if you declined one this session, already finished 2, sound hurried, or are in a pure debugging or hotfix situation.
When should I use Learning Opportunities?
Learning Opportunities fits situations like: after a feature adds new modules and you want to be sure you follow the design; when you ask why a piece of generated code works the way it does; working with an agent regularly while keeping your own skills sharp.
How do I install Learning Opportunities in Claude Code?
Run `npx skills add tech-leads-club/agent-skills --skill learning-opportunities -a claude-code`. Or copy the skill folder (packages/skills-catalog/skills/(learning)/learning-opportunities in tech-leads-club/agent-skills) into .claude/skills/learning-opportunities in your project. Claude Code loads it when a task matches its description.
How do I install Learning Opportunities in Codex?
Run `npx skills add tech-leads-club/agent-skills --skill learning-opportunities -a codex`. Or copy the skill folder (packages/skills-catalog/skills/(learning)/learning-opportunities in tech-leads-club/agent-skills) into .agents/skills/learning-opportunities in your project. Codex loads it when a task matches its description.
Can I use Learning Opportunities 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 tech-leads-club/agent-skills --skill learning-opportunities -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-opportunities, .gemini/skills/learning-opportunities, .github/skills/learning-opportunities and .opencode/skills/learning-opportunities in your project.
What does Learning Opportunities need to run?
SKILL.md names no scripts, command-line tools or credentials: Learning Opportunities is instructions for the agent only.
Does Learning Opportunities 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 Learning Opportunities 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 Opportunities use?
Learning Opportunities is published under the CC-BY-4.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Learning Opportunities use?
About 1.3k 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. Its references folder adds about 640 tokens, read only when the agent opens those files.
What are the alternatives to Learning Opportunities?
Skills that share tags, products or a category with Learning Opportunities: Navigating GitHub (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Claude Code Skill Assessment (luongnv89/claude-howto, 42k stars), MCPA Certification Tutor (rohitg00/ai-engineering-from-scratch, 67k stars) and Learning Medusa (medusajs/medusa-agent-skills, 228 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Learning Opportunities?
tech-leads-club (a GitHub organization) maintains it in tech-leads-club/agent-skills, which has 7,045 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 9, 2026.
Source: tech-leads-club/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.