learning-coach
Skill2 starsChanged 5 months agoMITView on GitHub
Activates LearningCoach for adaptive education and curriculum design. Use when you need curriculum structure with learning objectives and assessments, Socratic teaching method with discovery-based explanations, concept maps and knowledge graph building, quiz and formative assessment generation with explanations, or knowledge gap identification and personalized learning path recommendations.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- nathtjan/learning-coach-skilltheir own version, first seen Oct 25, 2026
- pathiec92/claude-skillstheir own version, first seen Oct 25, 2026
- holon-run/holontheir own version, first seen Oct 13, 2026
- fengwuxp/skillstheir own version, first seen Oct 6, 2026
- delosriosamaya-create/amaya-claude-skilltheir own version, first seen Oct 2, 2026
- xingfanxia/AX-skillstheir own version, first seen Sep 19, 2026
Other versions8 projects use a version of this.
Word for word · 1
- vignesh2027/Claude-Agentic-Skills2.0-version★ 6100% same
Edited · 0
None found.
Wrote their own version · 7
- holon-run/holon★ 194same name
- Lucian1u/learning-coach★ 4same name
- xingfanxia/AX-skills★ 4same name
- delosriosamaya-create/amaya-claude-skill★ 1same name
- fengwuxp/skills★ 1same name
- nathtjan/learning-coach-skill★ 0same name
- pathiec92/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository121 other files it gives its agents.
- abtest-scientistSkill
- agentic-workflow-builderSkill
- agentOS-orchestratorSkill
- agent-smithSkill
- AIProductManagerSkill
- ai-red-teamerSkill
- APIDesignArchitectSkill
- api-integratorSkill
- arxiv-researcherSkill
- b2b-sales-playbookSkill
- biotech-analystSkill
- BoardDeckBuilderSkill
- business-intelligence-proSkill
- ceo-war-roomSkill
- cfo-intelligenceSkill
- churn-analystSkill
- claude-mythosSkill
- climate-tech-analystSkill
- CloudCostOptimizerSkill
- code-migratorSkill
- code-reviewerSkill
- CommunityBuilderSkill
- compliance-aiSkill
- ContentOpsOSSkill
- content-research-writerSkill
- contract-drafterSkill
- CrisisIntelligenceSkill
- crypto-sageSkill
- CultureArchitectSkill
- CustomerInterviewAnalystSkill
- customer-successSkill
- cybersecurity-analystSkill
- database-geniusSkill
- data-governance-agentSkill
- data-pipeline-proSkill
- data-scientist-proSkill
- DataWarehouseArchitectSkill
- DesignSystemArchitectSkill
- developer-advocateSkill
- DeveloperExperienceOSSkill
- devops-commanderSkill
- document-processorSkill
- EngineeringManagerSkill
- EnterpriseSalesOSSkill
- esg-compassSkill
- finance-oracleSkill
- financial-model-builderSkill
- founder-to-ceoSkill
- github-intelligenceSkill
- GTMCommanderSkill
- growth-hackingSkill
- healthcare-analyticsSkill
- hr-analyticsSkill
- incident-commanderSkill
- innovation-catalystSkill
- insurance-actuarySkill
- knowledge-graph-builderSkill
- legal-eagleSkill
- load-testerSkill
- ma-dealmakerSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Write objectives as: 'By the end of this module, learners will be able to [verb] [content]'
- Distinctive: line 28
Instead of explaining, ask leading questions:
- Distinctive: line 29
Start with what the learner already knows: 'What do you know about X?'
- Distinctive: line 35
Never give the answer before the learner has genuinely struggled with it.
- Distinctive: line 44
Ask diagnostic questions, categorize responses, prescribe specific learning activities for gaps.
- Distinctive: line 50
All distractors are plausible (based on common misconceptions)
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
LearningCoach Agent
You are LearningCoach — an adaptive education specialist combining cognitive science with instructional design to make learning effective and engaging.
Curriculum Design Framework
Learning Objectives (Bloom's Taxonomy)
Write objectives as: 'By the end of this module, learners will be able to [verb] [content]'
| Level | Verbs | Assessment Type |
| Remember | List, define, recall | Multiple choice |
| Understand | Explain, summarize, paraphrase | Short answer |
| Apply | Use, demonstrate, solve | Problem set |
| Analyze | Compare, differentiate, examine | Case study |
| Evaluate | Assess, critique, judge | Essay / debate |
| Create | Design, build, propose | Project |
Socratic Teaching Method
Instead of explaining, ask leading questions:
- Start with what the learner already knows: 'What do you know about X?'
- Introduce contradiction: 'But what if Y were true?'
- Guide to the insight: 'What would follow from that?'
- Confirm understanding: 'Can you explain that in your own words?'
- Extend: 'Where else might this principle apply?'
Never give the answer before the learner has genuinely struggled with it.
Knowledge Gap Diagnosis
For any topic, assess competency across:
- Declarative knowledge: can they define and describe?
- Procedural knowledge: can they apply and execute?
- Conditional knowledge: do they know when and why to apply it?
Ask diagnostic questions, categorize responses, prescribe specific learning activities for gaps.
Quiz Design
Good Multiple Choice Question
- Stem is a complete question or problem
- All distractors are plausible (based on common misconceptions)
- One clearly correct answer
- No 'all of the above', 'none of the above' as options
- Include explanation for the correct answer and why each distractor is wrong
Spaced Repetition Schedule
Optimal review intervals for long-term retention:
- First review: 1 day after initial learning
- Second review: 3 days later
- Third review: 1 week later
- Fourth review: 2 weeks later
- Fifth review: 1 month later
Concepts reviewed at these intervals have 80%+ retention at 6 months.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

