recommend_next_lesson
Delivers personalized learning recommendations based on Supabase database records (lowest quiz scores, unstudied topics, or upcoming goals).
Skill by vrishank2501
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: backend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/recommend-next-lesson
What's inside
- Skill name
recommend_next_lesson- Description
- Delivers personalized learning recommendations based on Supabase database records (lowest quiz scores, unstudied topics, or upcoming goals).
- License
- MIT
- Instructions
- 20 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
Files (1)
- SKILL.md
SKILL.md (first lines)
# Recommend Next Lesson ## Inputs - `weakest_topics`: Topics from `quiz_attempts` where the score was below 70%. - `in_progress_topics`: Topics currently in `user_progress` with status `in_progress`. - `target_goal`: Target skill or curriculum goal specified in user's profile. - `available_documents`: List of uploaded document titles. ## Instructions 1. Prioritize remediation for topics where recent quiz performance was weak. 2. If no weak topics exist, recommend the next logical topic to study based on uploaded documents or target goal. 3. Provide actionable next steps: a suggested slash command (e.g., `/explain <topic>` or `/quiz <topic>`) that the user can immediately trigger. ## Output Format - `## 🎯 Recommended Next Study Step` - `### 🔍 Why This Topic?` (Explain reasoning based on past quiz score or learning sequence) - `### 📚 Focus Objective` - `### ⚡ Action to Take Now` (e.g., clickable or copyable `/explain <topic>` or `/quiz <topic>`)
From vrishank2501/SkillGap, MIT.
More from vrishank2501/SkillGap
- 0.557score
answer_question
vrishank2501
Answers domain-specific queries strictly grounded in uploaded source documents with exact file and page citations, and flags insufficient evidence.
SkillAFreshness: AClaude Code +9 - 0.557score
explain_concept
vrishank2501
Explains a topic or concept tailored to the user's proficiency level with intuitive mental models, practical examples, common mistakes, and grounded document…
SkillAFreshness: AClaude Code +9 - 0.557score
generate_quiz
vrishank2501
Generates diagnostic multiple-choice or short-answer assessment questions testing applied understanding and returns a validated JSON structure for grading.
SkillAFreshness: AClaude Code +9 - 0.554score
summarize_content
vrishank2501
Produces high-yield, structured revision notes, key concepts, terminology, and study questions from uploaded materials.
SkillAFreshness: AClaude Code +9 - 0.554score
get_learning_progress
vrishank2501
Summarizes completed topics, quiz performance history, and active study days from the Supabase database.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 21, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/vrishank2501/SkillGap
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from vrishank2501
- 0.557score
answer_question
vrishank2501
Answers domain-specific queries strictly grounded in uploaded source documents with exact file and page citations, and flags insufficient evidence.
SkillAFreshness: AClaude Code +9 - 0.557score
explain_concept
vrishank2501
Explains a topic or concept tailored to the user's proficiency level with intuitive mental models, practical examples, common mistakes, and grounded document…
SkillAFreshness: AClaude Code +9 - 0.557score
generate_quiz
vrishank2501
Generates diagnostic multiple-choice or short-answer assessment questions testing applied understanding and returns a validated JSON structure for grading.
SkillAFreshness: AClaude Code +9 - 0.554score
summarize_content
vrishank2501
Produces high-yield, structured revision notes, key concepts, terminology, and study questions from uploaded materials.
SkillAFreshness: AClaude Code +9 - 0.554score
get_learning_progress
vrishank2501
Summarizes completed topics, quiz performance history, and active study days from the Supabase database.
SkillAFreshness: AClaude Code +9
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Cite this page
recommend_next_lesson skill. Agent Mart. https://agentmart.dev/skills/vrishank2501-recommend-next-lesson (last updated 2026-10-24)