Banner Design System
nextlevelbuilder/ui-ux-pro-max-skill
Walks through designing a banner for social media, ads, a website hero or print, from gathering requirements to building 2 or 3 art-direction options in HTML and CSS.
Design customized curricula for PODs with REAL resource links.
$ npx skills add LeoYeAI/openclaw-master-skills --skill curriculum-designer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills curriculum-designer --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/curriculum-designer .claude/skills/curriculum-designer && 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 "curriculum-designer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/curriculum-designer into .claude/skills/curriculum-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curriculum-designer", 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/LeoYeAI/openclaw-master-skills/tree/main/skills/curriculum-designerType 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 LeoYeAI/openclaw-master-skills --skill curriculum-designer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills curriculum-designer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/curriculum-designer .agents/skills/curriculum-designer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "curriculum-designer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/curriculum-designer into .agents/skills/curriculum-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curriculum-designer", 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 LeoYeAI/openclaw-master-skills --skill curriculum-designer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills curriculum-designer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/curriculum-designer .cursor/skills/curriculum-designer && 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 "curriculum-designer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/curriculum-designer into .cursor/skills/curriculum-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curriculum-designer", 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/LeoYeAI/openclaw-master-skills.git --path skills/curriculum-designer--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 LeoYeAI/openclaw-master-skills --skill curriculum-designer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills curriculum-designer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/curriculum-designer .gemini/skills/curriculum-designer && 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 "curriculum-designer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/curriculum-designer into .gemini/skills/curriculum-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curriculum-designer", 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 LeoYeAI/openclaw-master-skills curriculum-designerInstalls 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 LeoYeAI/openclaw-master-skills --skill curriculum-designer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/curriculum-designer .github/skills/curriculum-designer && 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 "curriculum-designer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/curriculum-designer into .github/skills/curriculum-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curriculum-designer", 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 LeoYeAI/openclaw-master-skills --skill curriculum-designer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills curriculum-designer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/curriculum-designer .opencode/skills/curriculum-designer && 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 "curriculum-designer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/curriculum-designer into .opencode/skills/curriculum-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curriculum-designer", 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.
curriculum-designerDesign customized curricula for PODs with REAL resource links.
Curriculum Designer is an agent skill from LeoYeAI/openclaw-master-skills. Design customized curricula for PODs with REAL resource links. Staged implementation with checkpointing and fallback logic. Use when user says 'Design curriculum', 'Create curriculum for POD', or 'Build learning plan'.
Its SKILL.md is about 5.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `_meta.json` and `curriculum-designer.sh`).
It works with YouTube. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
Ships script files (Shell), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
youtube.comdocs.google.comdrive.google.comAlso links to:
console.cloud.google.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
YOUTUBE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Curriculum Designer loads about 5.5k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 1,390 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
law/workspace/skills/curriculum-designer/.env` (NOT in git)* Use YouTube Data API v3 with key from `.env`⚠️ **API keys are stored locally in `.env` file - NEVER commit this file to git!**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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,390 words, ~5,461 tokens.
.claude/skills/curriculum-designer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Design customized curricula for Apni Pathshala PODs with real YouTube video links.
FEATURES:
When invoked, the agent follows a 5-stage workflow with checkpointing:
| Stage | What Happens | Checkpoint File |
|---|---|---|
| 1 | Gather requirements | requirements.json |
| 2 | Research YouTube videos | research-results.json |
| 3 | Verify videos + fallback logic | validated-resources.json |
| 4 | Design curriculum (one lesson at a time) | curriculum-structure.json |
| 5 | Create Google Sheet | final-sheet-url.txt |
User message contains:
This skill is designed for Madhur (Academic Associate) who designs curricula for PODs.
~/.openclaw/workspace/skills/curriculum-designer/.env (NOT in git)1upJQu-IVmZRJQsNGmJNRzq9IwL67MVL9 (Curriculum Designer)~/.openclaw/workspace/curriculum-designer-checkpoints/YouTube API Key:
YOUTUBE_API_KEY=your_key_hereGet from: https://console.cloud.google.com/apis/credentials
Action: Use different LLM models for different stages to optimize cost and performance.
| Stage | Recommended Model | Reason |
|---|---|---|
| Stage 1: Requirements Collection | glm-4.7 | Quick reasoning, sufficient for form filling |
| Stage 2: YouTube Research | glm-5 | Fast research, needs latest web knowledge |
| Stage 3: Video Validation | glm-4.7 | Pattern matching, simple logic |
| Stage 4: Curriculum Design | glm-4.7 | Structured generation, cost-effective for lessons |
| Stage 5: Sheet Creation | glm-4.7 | JSON formatting, simple transformations |
Option 1: Specify model when calling agent
# Use glm-5 for research stage
agent.chat --model glm-5 --message "Research YouTube videos for..."
# Use glm-4.7 for design stage
agent.chat --model glm-4.7 --message "Generate lesson structure..."Option 2: Configure in SKILL.md Each stage should include model recommendation in its instructions:
### Stage 2: Research YouTube Resources
**Action:** Search YouTube for videos based on requirements
**Recommended Model:** glm-5 (fast research, latest web knowledge)
**Why:** Research needs up-to-date information and fast processing.Action: Ask the user these questions (from SOP):
Output: Save to checkpoint as JSON:
{
"pod_name": "Example POD",
"target_audience": "Grade 8-10",
"subject_areas": ["Digital Literacy", "Computer Basics"],
"duration": "1 month",
"frequency": "3 days/week",
"daily_lab_hours": 2,
"previous_exposure": "None",
"teacher_capability": "Basic",
"teacher_training_needed": true,
"learning_area_focus": ["Digital Literacy"],
"specific_skills": ["Basic computer operations", "Internet safety"],
"assessment_method": "Practical exercises and quizzes"
}Checkpoint: ~/.openclaw/workspace/curriculum-designer-checkpoints/<timestamp>-<session-id>/requirements.json
Action: Search YouTube for videos based on requirements
API: Use YouTube Data API v3 with key from .env
Search Queries (Default):
search_queries = [
"computer basics tutorial hindi beginners",
"typing practice hindi tutorial",
"internet browser basics hindi",
"gmail email tutorial hindi beginners",
"google docs tutorial hindi",
"google sheets tutorial hindi",
"chatgpt tutorial hindi beginners 2024",
"ai tools for students hindi"
]Search Parameters:
part=snippetq=<query>type=videomaxResults=5videoDuration=medium (5-10 minutes preferred)relevanceLanguage=hi (Hindi preference)Output Structure:
{
"resources": [
{
"topic": "computer basics",
"videos": [
{
"title": "Computer Basics for Beginners in Hindi",
"channel": "TechGuruji",
"url": "https://youtube.com/watch?v=ABC123",
"video_id": "ABC123"
}
]
}
]
}After completing all searches, summarize the research results before passing to validation stage.
Why summarize?
Summary Structure:
{
"research_summary": {
"total_searches": 8,
"topics_researched": [
"computer basics",
"typing practice",
"internet browser basics",
"gmail email tutorial",
"google docs tutorial",
"google sheets tutorial",
"chatgpt tutorial",
"ai tools for students"
],
"total_videos_found": 24,
"video_channels": ["TechGuruji", "LearnWithMe", "DigitalSkills", "HindiTechTutorials"],
"search_language": "Hindi preference",
"video_duration_preference": "5-10 minutes",
"notes": "Most videos from 2023-2024. Good variety of channels. Some topics have fewer results, may need fallback search."
}
}Save summary:
research_summary to research-results.jsonCheckpoint: ~/.openclaw/workspace/curriculum-designer-checkpoints/<timestamp>-<session-id>/research-results.json
Action: Verify each video via YouTube oEmbed API. If invalid, retry with alternative search terms.
Use oEmbed endpoint (fast, lightweight):
https://www.youtube.com/oembed?url=https://youtube.com/watch?v=VIDEO_IDFor each topic, follow this logic:
For each video in topic:
1. Verify via oEmbed
2. If valid → Add to validated list, done with topic
3. If invalid → Try next video in topic
If NO valid videos found for topic:
1. Retry search with alternative queries:
- Original query + "part 2"
- Original query + "for students"
- Original query + "in english" (if Hindi failed)
2. Verify new results
3. If still no valid videos → ADD FALLBACK:
- "search_query": "<original query> tutorial hindi beginners"
- "fallback_reason": "No valid videos found, please search manually"{
"resources": [
{
"topic": "computer basics",
"video": {
"title": "Computer Basics for Beginners in Hindi",
"channel": "TechGuruji",
"url": "https://youtube.com/watch?v=ABC123",
"video_id": "ABC123",
"status": "valid"
}
},
{
"topic": "advanced excel",
"fallback": {
"search_query": "advanced excel tutorial hindi beginners",
"reason": "No valid videos found after 3 retry attempts"
}
}
]
}IMPORTANT: Every topic MUST have either:
Checkpoint: ~/.openclaw/workspace/curriculum-designer-checkpoints/<timestamp>-<session-id>/validated-resources.json
Action: Generate curriculum structure, processing one lesson at a time with summarization and context cleanup.
Instead of:
Pass entire curriculum (all lessons) to LLM at once → High token usageDo this:
For each lesson (1, 2, 3, ... N):
1. Load lesson N context only (this lesson's topic + resources)
2. Generate lesson content
3. SUMMARIZE lesson N context
4. Save lesson + summary to curriculum structure
5. WIPE lesson N context from memory
6. Continue to next lesson
When all lessons complete:
1. Summarize entire curriculum
2. Save summary to curriculum structure
3. Save summary to Stage 2 checkpoint (research-results.json)For lesson N:
Load context:
Generate lesson:
Summarize lesson:
Save to curriculum:
Context cleanup:
{
"lesson_number": 1,
"summary": "Students learned basic computer components, mouse/keyboard operations, and system navigation. Introduced primary computer parts and basic troubleshooting. Assessment involved identifying components and practicing typing.",
"key_skills": [
"Identifying computer parts",
"Mouse and keyboard basics",
"System navigation"
],
"tools_used": ["Computer", "Mouse", "Keyboard"],
"assessment_type": "Practical exercise and observation"
}For each lesson, generate:
| Field | Description |
|---|---|
| Day | Lesson number (1, 2, 3, ...) |
| Subject | Subject area / Learning area |
| Module | Module/Topic name |
| Daily Learning Objectives | What students learn that day |
| Daily Assessment | How to assess understanding |
| YouTube Link | Valid video URL OR search query fallback |
| YouTube Title | Video title (if applicable) |
| Tools Used | Required software/platforms |
| Fallback Search Query | Search query if no valid video (or blank) |
| Lesson Summary | Concise summary for next lesson's context |
{
"day": 1,
"subject": "Digital Literacy",
"module": "Module 1: Introduction to Computers",
"daily_learning_objectives": "Understand basic computer components, learn to use mouse and keyboard",
"daily_assessment": "Practical exercise: Identify computer parts, practice typing",
"youtube_link": "https://youtube.com/watch?v=ABC123",
"youtube_title": "Computer Basics for Beginners in Hindi",
"tools_used": "Computer, Mouse, Keyboard",
"fallback_search_query": "",
"lesson_summary": {
"summary": "Students learned basic computer components, mouse/keyboard operations, and system navigation.",
"key_skills": ["Identifying computer parts", "Mouse and keyboard basics", "System navigation"],
"tools_used": ["Computer", "Mouse", "Keyboard"],
"assessment_type": "Practical exercise and observation"
}
}{
"day": 5,
"subject": "Skill Development",
"module": "Module 5: Advanced Spreadsheets",
"daily_learning_objectives": "Learn Excel formulas and data analysis",
"daily_assessment": "Create a budget spreadsheet using formulas",
"youtube_link": "",
"youtube_title": "",
"tools_used": "Google Sheets",
"fallback_search_query": "advanced excel formulas tutorial hindi beginners",
"lesson_summary": {
"summary": "Students advanced from basic Google Sheets to formulas and data analysis. Learned SUM, AVERAGE, IF functions, and chart creation.",
"key_skills": ["Google Sheets formulas", "Data analysis basics", "Chart creation"],
"tools_used": ["Google Sheets"],
"assessment_type": "Project-based: Budget spreadsheet"
}
}After generating all lessons:
Summarize entire curriculum:
Save to curriculum structure:
{
"curriculum_summary": {
"total_lessons": 12,
"duration": "1 month",
"frequency": "3 days/week",
"subject_areas": ["Digital Literacy", "Skill Development"],
"skills_progression": [
"Week 1: Computer basics and navigation",
"Week 2: Internet and email fundamentals",
"Week 3: Document creation and editing",
"Week 4: Spreadsheets and data analysis"
],
"assessment_methods": ["Practical exercises", "Quizzes", "Projects"],
"tools_used": ["Computer", "Google Docs", "Google Sheets", "YouTube videos"],
"learning_outcomes": "Students will gain basic computer literacy, internet safety awareness, and productivity tool proficiency."
}
}curriculum_summary field to research-results.jsonCheckpoint: ~/.openclaw/workspace/curriculum-designer-checkpoints/<timestamp>-<session-id>/curriculum-structure.json
Also updates: ~/.openclaw/workspace/curriculum-designer-checkpoints/<timestamp>-<session-id>/research-results.json (adds curriculum_summary)
Action: Create Google Sheet with curriculum data using gog CLI.
# Use gog CLI to create new spreadsheet
SHEET_ID=$(gog drive spreadsheet create \
--name "Curriculum_[POD]_[YYYY-MM-DD]" \
--parent-folder "$GOG_FOLDER_ID" \
--json | python3 -c "import sys, json; print(json.load(sys.stdin).get('id', ''))")
echo "Sheet ID: $SHEET_ID"# Add header row
gog sheets update "$SHEET_ID" "Sheet1!A1:H1" \
--values-json '[["Day","Subject","Module","Daily Learning Objectives","Daily Assessment","YouTube Link","YouTube Title","Tools Used","Fallback Search Query"]]'# Read curriculum structure and convert to gog format
# For each lesson, create a row array
# Then append all rows at once
# Format each lesson as: [Day, Subject, Module, Objectives, Assessment, URL, Title, Tools, Fallback]
gog sheets append "$SHEET_ID" "Sheet1!A2:H" \
--values-json '[
["1","Digital Literacy","Module 1: Introduction","Understand basic components","Practical exercise","https://youtube.com/watch?v=ABC123","Computer Basics","Computer,Mouse",""],
["2","Digital Literacy","Module 2: File Management","Learn to organize files","Create folders","https://youtube.com/watch?v=DEF456","File Management","File Explorer",""],
...
]' \
--insert INSERT_ROWSData format:
Validation:
# ⚠️ CRITICAL: Always share with public view access
gog drive share "$SHEET_ID" --to anyone --role reader# Construct public URL and save
PUBLIC_URL="https://docs.google.com/spreadsheets/d/${SHEET_ID}"
echo "$PUBLIC_URL" > "<checkpoint-dir>/final-sheet-url.txt"Checkpoint: ~/.openclaw/workspace/curriculum-designer-checkpoints/<timestamp>-<session-id>/final-sheet-url.txt
| Learning Area | Focus |
|---|---|
| Digital Literacy | Basic computer skills, internet safety, AI tools |
| Academic Empowerment | Study skills, exam prep, note-taking |
| Skill Development | Programming, design, content creation |
| Employment Readiness | Resume, communication, job skills |
--to anyone --role reader before returning linkgog drive share <SHEET_ID> --to anyone --role reader| Resource | Link |
|---|---|
| Curriculum Designer Folder | https://drive.google.com/drive/folders/1upJQu-IVmZRJQsNGmJNRzq9IwL67MVL9 |
| Example Curriculum (AI Tools) | https://docs.google.com/spreadsheets/d/1hYC2Q2KlW8dM71biC97RPSvFnxTQa-zN |
| SOP Document | https://docs.google.com/document/d/1Y5qetW8S4RWsTg7hycIyujgTwTCFn9VV |
⚠️ API keys are stored locally in .env file - NEVER commit this file to git!
Delete checkpoint directories older than 7 days to prevent disk space bloat while keeping recent sessions for debugging.
# Edit crontab
crontab -e
# Add this line (runs daily at midnight)
0 0 * * * find ~/.openclaw/workspace/curriculum-designer-checkpoints/ -type d -mtime +7 -exec rm -rf {} \;# Create cron job via OpenClaw
openclaw cron create \
--name "checkpoint-cleanup" \
--schedule "0 0 * * *" \
--command "find ~/.openclaw/workspace/curriculum-designer-checkpoints/ -type d -mtime +7 -exec rm -rf {} \;" \
--description "Delete curriculum-designer checkpoints older than 7 days"| Schedule | Crontab Format | Description |
|---|---|---|
| Daily at midnight | 0 0 * * * | Every day at 00:00 |
| Weekly on Sunday | 0 0 * * 0 | Every Sunday at 00:00 |
| Every 6 hours | 0 */6 * * * | Every 6 hours (may be too frequent) |
| Twice daily | 0 0,12 * * * | At 00:00 and 12:00 |
After setting up cron, verify it's working:
# List cron jobs (crontab)
crontab -l
# List cron jobs (OpenClaw)
openclaw cron listTest the cleanup command manually before setting up cron:
# Dry run (see what would be deleted)
find ~/.openclaw/workspace/curriculum-designer-checkpoints/ -type d -mtime +7 -ls
# Actual cleanup
find ~/.openclaw/workspace/curriculum-designer-checkpoints/ -type d -mtime +7 -exec rm -rf {} \;
# Verify
ls ~/.openclaw/workspace/curriculum-designer-checkpoints/-mtime +7: Files/directories modified more than 7 days ago-type d: Only directories (sessions), not individual files-exec rm -rf {} \;: Remove directory and all contents+7 to a different value if you want different retention period (+3, +14, +30)© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files in skills/curriculum-designer of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Curriculum Designer 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 |
|---|---|---|---|---|---|---|
| Curriculum Designer this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.5k | Automated safety check: Notes | MIT | |
| Banner Design Systemnextlevelbuilder/ui-ux-pro-max-skill | 134k | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Yt Dlp DownloaderMapleShaw/yt-dlp-downloader-skill | 209 | 1 repos | ~1.5k | Automated safety check: Pass | None | |
| Media Downloaderyizhiyanhua-ai/media-downloader | 403 | 1 repos | ~824 | Automated safety check: Pass | None | |
| Nano Bananakkoppenhaver/cc-nano-banana | 378 | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Smart Illustratoraxtonliu/smart-illustrator | 564 | — | ~1.8k | Automated safety check: Pass | MIT |
nextlevelbuilder/ui-ux-pro-max-skill
Walks through designing a banner for social media, ads, a website hero or print, from gathering requirements to building 2 or 3 art-direction options in HTML and CSS.
MapleShaw/yt-dlp-downloader-skill
Download videos from YouTube, Bilibili, Twitter, and thousands of other sites using yt-dlp.
yizhiyanhua-ai/media-downloader
智能媒体下载器。根据用户描述自动搜索和下载图片、视频片段,支持视频自动剪辑. An agent skill from yizhiyanhua-ai/media-downloader.
kkoppenhaver/cc-nano-banana
REQUIRED for all image generation requests. An agent skill from kkoppenhaver/cc-nano-banana.
axtonliu/smart-illustrator
Generates article illustrations, batch slide infographics and cover images from your text, using Gemini, Mermaid or Excalidraw engines and a prompt-only mode.
krusemediallc/arcads-claude-code
Generate high-CTR YouTube thumbnails using Nano Banana 2 via the Arcads external API.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Works with
Design customized curricula for PODs with REAL resource links. Curriculum Designer is an agent skill from LeoYeAI/openclaw-master-skills. Design customized curricula for PODs with REAL resource links.
Curriculum Designer fits situations like: user says Design curriculum; create curriculum for POD; build learning plan.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill curriculum-designer -a claude-code`. Or copy the skill folder (skills/curriculum-designer in LeoYeAI/openclaw-master-skills) into .claude/skills/curriculum-designer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill curriculum-designer -a codex`. Or copy the skill folder (skills/curriculum-designer in LeoYeAI/openclaw-master-skills) into .agents/skills/curriculum-designer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill curriculum-designer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/curriculum-designer, .gemini/skills/curriculum-designer, .github/skills/curriculum-designer and .opencode/skills/curriculum-designer in your project.
Going by SKILL.md and its folder, Curriculum Designer needs a shell for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named YOUTUBE_API_KEY. Our summary lists: Python 3; A Bash shell; A credential in YOUTUBE_API_KEY.
SKILL.md names 4 domains. In commands or code: youtube.com, docs.google.com and drive.google.com; the agent is likely to contact these when it follows the instructions. As links in the text: console.cloud.google.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Curriculum Designer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.5k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Curriculum Designer: Banner Design System (nextlevelbuilder/ui-ux-pro-max-skill, 134k stars), Yt Dlp Downloader (MapleShaw/yt-dlp-downloader-skill, 209 stars), Media Downloader (yizhiyanhua-ai/media-downloader, 403 stars) and Nano Banana (kkoppenhaver/cc-nano-banana, 378 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.