answer_question
Answers domain-specific queries strictly grounded in uploaded source documents with exact file and page citations, and flags insufficient evidence.
Skill by vrishank2501
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.
npx agentmarket install skill/vrishank2501-answer-question
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
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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/answer-question
What's inside
- Skill name
answer_question- Description
- Answers domain-specific queries strictly grounded in uploaded source documents with exact file and page citations, and flags insufficient evidence.
- 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)
# Answer from Learning Material ## Inputs - `query`: The user's question. - `document_context`: Retrieved document chunks containing text, filename, and page numbers. ## Instructions 1. Rely strictly on the evidence contained in `document_context`. 2. Cite the exact file name and page number for every factual claim (e.g., `[Handbook.pdf, Page 12]`). 3. If the retrieved material does NOT contain sufficient evidence to answer the question, clearly state: *"The uploaded materials do not contain sufficient information to answer this question."* Then offer a concise general explanation explicitly flagged as general knowledge rather than material fact. 4. Never hallucinate document titles, chapter names, or page numbers. ## Output Format - Direct, clear answer synthesizing the evidence. - `### 📖 Evidence & Citations`: List the cited passages with `[Filename, Page X]`. - If evidence is missing or partial, include a callout banner `> [!NOTE] Insufficient Document Evidence`.
From vrishank2501/SkillGap, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 21, 2026 (8 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
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- 0.557score
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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
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recommend_next_lesson
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Delivers personalized learning recommendations based on Supabase database records (lowest quiz scores, unstudied topics, or upcoming goals).
SkillAFreshness: AClaude Code +9 - 0.554score
summarize_content
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SkillAFreshness: AClaude Code +9 - 0.554score
get_learning_progress
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Cite this page
answer_question skill. Agent Mart. https://agentmart.dev/skills/vrishank2501-answer-question (last updated 2026-10-24)