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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.

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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
  1. Very specific:

    Use the MCP tools to get all story leads: call get_story_leads.

    line 5
  2. Distinctive:

    Read the question and decide:

    line 11
  3. Distinctive:

    Write a concise, factual answer (2-4 sentences) with specific data points when available.

    line 21
  4. Distinctive:

    After processing all questions, summarize:

    line 47

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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:

  1. Research the answer using web search, browsing official sources, and cross-referencing data.
  2. Write a concise, factual answer (2-4 sentences) with specific data points when available.
  3. Save the answer using the answer_question MCP tool with:
    • questionId: the question's ID
    • answerText: the researched answer
    • answerSourcesJson: 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:

  1. 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
  2. Research their contact information (email, phone, social media).
  3. Save the human source using the add_identified_source MCP tool with:
    • leadId: the story lead's ID
    • questionId: the question's ID (so the editor knows which question this source addresses)
    • name, title, organization, email, phone, socialHandlesJson, relevance
  4. Also save a partial answer using answer_question explaining 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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