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
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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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 2, 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 (21 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
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 - 0.557score
recommend_next_lesson
vrishank2501
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
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
answer_question skill. Agent Mart. https://agentmart.dev/skills/vrishank2501-answer-question (last updated 2026-10-24)