understudy-ai Researcher
Use this skill for bounded, source-backed research.
Default goal: turn an open-ended question into a concise research output with explicit evidence, tradeoffs, and uncertainty.
When to use
Use this skill when the user wants any of:
- a comparison of products, vendors, tools, APIs, papers, or approaches
- a market or ecosystem landscape scan
- due diligence on a company, category, or technical option
- fact-checking or claim validation with citations
- a structured research brief, memo, or recommendation
Do not use this skill for:
- summarizing one URL, one article, one video, or one local file; use the more specific summarize flow instead
- GitHub issue, PR, release, or CI workflows; use the GitHub-specific skills instead
- purely internal codebase exploration with no web research component
Working style
Prefer current sources over memory. Use a small search budget first, then expand only if the evidence is weak or conflicting.
Unless the user already gave a narrow format, produce:
- Research goal
- Short answer or recommendation
- Comparison or findings
- Risks, caveats, and unknowns
- Sources
If the user asks for a persistent artifact, write a Markdown report under research/ with a short kebab-case filename that matches the topic.
Workflow
Follow these phases in order.
1. Frame the question
Before searching, extract or infer:
- the decision to be made
- the comparison axes or success criteria
- any hard constraints such as budget, platform, geography, or timeline
If one missing detail would materially change the answer, ask a short clarifying question. Otherwise proceed with a stated assumption.
2. Make a research plan
Break the work into 3-7 subquestions. Keep them concrete and decision-relevant.
Examples:
- What options belong in scope?
- What are the meaningful differences?
- What evidence is primary vs secondary?
- What risks or hidden costs matter?
3. Use a bounded search budget
Start with a tight first pass:
- 2-4 targeted searches to map the space
- fetch the strongest candidate sources
- expand only if the first pass is incomplete, outdated, or contradictory
Avoid aimless searching. Stop when additional searches are no longer changing the answer.
4. Prefer stronger evidence
When possible, prioritize:
- official product or vendor documentation
- original papers, specs, standards, or release notes
- first-party pricing or policy pages
- reputable primary reporting or direct statements
Use secondary summaries only to discover leads, not as the sole basis for important conclusions.
5. Compare and validate
For each important claim:
- note which source supports it
- look for disagreement or missing context
- cross-check high-impact claims with at least two independent sources when feasible
Call out any inference you are making from the evidence instead of presenting it as a confirmed fact.
6. Produce a decision-ready output
Keep the final answer structured and useful. Include:
- the answer up front
- a short comparison table or bullets when multiple options are involved
- the strongest evidence and why it matters
- explicit uncertainty, recency limits, and open questions
- source links or source identifiers
Output templates
Comparison / recommendation
Use this shape by default:
- Recommendation
- Why it wins
- Alternatives considered
- Key risks or tradeoffs
- Sources
Fact-check / validation
Use this shape:
- Verdict: supported / mixed / unsupported / unclear
- What the evidence says
- What remains uncertain
- Sources
Landscape scan
Use this shape:
- Category snapshot
- Main players or approaches
- How they differ
- Notable gaps, risks, or trends
- Recommendation or next step
- Sources
Tool guidance
Prefer web_search to discover candidates, web_fetch to read exact page contents, and pdf when a primary source is a PDF.
Use the browser only when a relevant source requires interactive navigation, login, or a page state that the normal web tools cannot reach.
Quality bar
Do not end with a pile of links. Synthesize.
Do not present stale or weakly supported claims as settled.
Do not hide uncertainty. If the evidence is thin, say so clearly and narrow the recommendation.