00-system/skills/learning/learn-skills/SKILL.md
Learn how Nexus skills work. Load when user mentions: learn skills, how do skills work, what is a skill, skill tutorial, skill structure, understand skills, explain skills, when to create skill, skill vs project. 10-12 min.
npx skillsauth add abdullahbeam/nexus-design-abdullah learn-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This is an ONBOARDING skill with HIGH PRIORITY for proactive suggestion.
Check learning_tracker.completed.learn_skills in user-config.yaml. If false:
PROACTIVELY SUGGEST when user:
Suggestion Pattern:
💡 I notice you're describing repeating work. Before creating a skill, would you
like a 10-minute tutorial on what makes workflows "skill-worthy"? It covers:
- The 3-criteria skill-worthiness framework
- How skills are structured
- How AI triggers skills automatically
Say 'learn skills' to start, or continue with your current task.
Anti-Pattern Detection:
If user creates: report-jan, report-feb, report-mar...
→ "I notice you're creating similar items. This is a perfect use case for
a SKILL instead of multiple projects. Want to 'learn skills' to understand
how to capture this as a reusable workflow?"
DO NOT suggest if:
learning_tracker.completed.learn_skills: trueTeach how to identify skill-worthy workflows and create effective skills.
Help user understand what makes something skill-worthy, how skills are structured, and how skill triggering works. Includes hands-on practice identifying their own workflows.
Time Estimate: 10-12 minutes
✅ SKILLS (repeating workflows):
- Weekly status report (same format weekly)
- Qualify sales lead (same questions each time)
- Process expense reports (same steps)
❌ NOT SKILLS (one-time):
- Research competitor Acme (one-time)
- Build Q1 marketing plan (one-time)
Key question: Will I do this AGAIN?
Three questions:
1. FREQUENCY: 2+ times per month?
YES → keep evaluating
2. REPEATABILITY: Steps mostly the same?
YES → keep evaluating
3. VALUE: Saves >5 minutes per execution?
YES → Create a skill!
ALL 3 YES = Skill-worthy
ANY NO = Just do it manually
📁 weekly-status-report/
├── SKILL.md # Instructions + triggers
├── references/ # Documentation (optional)
├── scripts/ # Automation (optional)
└── assets/ # Templates (optional)
AI checks your message against ALL skill descriptions.
Match found = skill loads.
Example description:
"Load when user says 'status report', 'weekly update',
'progress summary'"
ANY of these triggers it:
• "Generate my status report"
• "Weekly update please"
• "Progress summary"
Ask: "What did you do last week that you'll probably do again?"
For each: apply 3-criteria framework, brainstorm trigger phrases.
To create a skill, say:
• "create skill for [workflow]"
• "new skill: [name]"
YOUR skills go in 03-skills/ (prioritized!)
SYSTEM skills in 00-system/skills/
Actions (MUST complete all):
Mark skill complete in user-config.yaml:
learning_tracker:
completed:
learn_skills: true # ADD THIS LINE
Display completion:
✅ Learn Skills Complete!
You now understand:
• Skills = reusable workflows (do AGAIN → skill)
• 3-criteria framework (Frequency + Repeatability + Value)
• Skill structure (SKILL.md + optional references/scripts)
• Trigger mechanism (keywords in description)
Next steps:
• 'create skill' - Create your first skill
• 'learn projects' - Learn about temporal work
• 'learn nexus' - System mastery
Prompt close-session:
💡 When you're done working, say "done" to save progress.
learning_tracker.completed.learn_skills: true in user-config.yamldevelopment
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Generate comprehensive philosophy and standards documents for any domain (UX design, landing pages, email outbound, API design, etc.). Load when user says "create philosophy doc", "generate standards for [domain]", "build best practices guide", or "create benchmarking document". Conducts deep research, synthesizes findings, and produces structured philosophy documents with principles, frameworks, anti-patterns, checklists, case studies, and metrics.
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Load when user says "validate docs", "check documentation consistency", "docs vs implementation", or "find documentation mismatches". Systematically compares implementation code against documentation to identify and fix inconsistencies.