answer-questions
Skill2 starsChanged 7 months agoMITView on GitHub
Research and answer all unanswered questions for story leads in the pipeline. Answers questions from public sources and identifies human sources for questions requiring interviews.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- DhruvPrajapati4/apply-kittheir own version, first seen Sep 2, 2026
- QaliAI/ai-job-agenttheir own version, first seen Aug 27, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- DhruvPrajapati4/apply-kit★ 0same name
- QaliAI/ai-job-agent★ 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 repository11 other files it gives its agents.
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 5
Use the MCP tools to get all story leads: call get_story_leads.
- Distinctive: line 11
Read the question and decide:
- Distinctive: line 21
Write a concise, factual answer (2-4 sentences) with specific data points when available.
- Distinctive: line 47
After processing all questions, summarize:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Use the MCP tools to get all story leads: call get_story_leads.
For each story lead that has questions with status "Pending" or "Approved":
1. Classify each question
Read the question and decide:
- Public info: The answer can be found from government data, news articles, public records, or other web sources.
- Human source needed: The question requires a person's perspective, insider knowledge, or an interview to answer properly.
2. Answer public-info questions
For each question that can be answered with public information:
- Research the answer using web search, browsing official sources, and cross-referencing data.
- Write a concise, factual answer (2-4 sentences) with specific data points when available.
- Save the answer using the
answer_questionMCP tool with:questionId: the question's IDanswerText: the researched answeranswerSourcesJson: array of{"url": "...", "title": "..."}for each source used
Prioritize authoritative sources: government databases, official reports, established news outlets.
3. Identify human sources for interview questions
For each question that requires a human source:
- Identify the best person to answer this question. Consider:
- People directly involved in or affected by the story
- Subject matter experts with relevant credentials
- Public officials or spokespeople with relevant authority
- Advocates or community leaders connected to the topic
- Research their contact information (email, phone, social media).
- Save the human source using the
add_identified_sourceMCP tool with:leadId: the story lead's IDquestionId: the question's ID (so the editor knows which question this source addresses)name,title,organization,email,phone,socialHandlesJson,relevance
- Also save a partial answer using
answer_questionexplaining what is known so far and that a human source has been identified for the full answer.
4. Summarize
After processing all questions, summarize:
- How many questions were answered from public sources
- How many human sources were identified
- Any questions that could not be addressed
Story lead to process (omit to process all): $ARGUMENTS
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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.
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