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ai-assist-orgai-assist-org/ai-assist/skills/web-research/SKILL.md

web-research

Skill7 starsChanged 20 days agoApache-2.0View on GitHub

Conduct comprehensive web research on a question and produce a cited report. Use when the user asks to "research", "investigate", "do a deep dive", "compare X vs Y", "find out about", or wants a thorough, multi-source answer with citations rather than a single quick lookup. Runs the search/read/synthesize loop in a background task so fetched pages stay out of the main conversation; returns a saved report. Reuses the built-in web_search + web_fetch tools (keyless by default; better with provider keys).

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The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 38 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If the question in $ARGUMENTS is empty or vague, ask the user for a clear research question (and scope/time-frame) before proceeding.

    line 17
  2. Very specific:

    When the task completes, read the report with internal__read_report and give the user a short summary plus the report name.

    line 33
  3. Very specific:

    Use __save_to_file on internal__web_fetch for very large pages so they don't bloat even the background task's context.

    line 65

“Common” is measured: kept by at least 6 in 10 of the 38 edited versions of this file we could read. “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

Web Research

Produce a thorough, cited answer to a research question by searching the web, reading the best sources, and synthesizing a report — with the heavy reading done in a background task so the main conversation stays clean.

Question to research: $ARGUMENTS

How to run it

  1. If the question in $ARGUMENTS is empty or vague, ask the user for a clear research question (and scope/time-frame) before proceeding.
  2. Pick a short kebab-case report name from the topic, e.g. research-<topic>.
  3. Delegate the work to a background task with internal__run_background so the many fetched pages never enter this conversation's context. Pass:
    • description: "Web research: <topic>"
    • save_to_report: the report name from step 2
    • max_time_seconds: 600 (research is multi-step)
    • prompt: the research brief below, with $ARGUMENTS filled in.
  4. Tell the user the research is running in the background, name the report it will write, and that they'll be notified when it completes. Do not start fetching pages yourself in this conversation.
  5. When the task completes, read the report with internal__read_report and give the user a short summary plus the report name. If they want more, point them at the full report.

If background tasks are unavailable (e.g. non-interactive mode), run the research brief below inline instead, then save the result with internal__write_report.

Research brief (the background prompt)

You are researching: $ARGUMENTS

  1. Use internal__web_search to find sources. Start broad, then run 2–4 refined queries covering sub-questions and alternative phrasings. Prefer primary and authoritative sources.
  2. Use internal__web_fetch to read the full content of the ~5–8 most relevant results (not just snippets). For pages that fail to fetch, try another source.
  3. Cross-check claims across at least two independent sources. Note where sources disagree, and flag anything you could not verify.
  4. Synthesize a structured markdown report:
    • Summary — the direct answer in a few sentences.
    • Findings — organized by sub-topic, with inline citations like [1].
    • Caveats / open questions — gaps, disagreements, recency limits.
    • Sources — numbered list of [n] Title — URL for every citation used.
  5. Ground every non-obvious claim in a citation. Do not invent URLs or facts; if the web results don't answer part of the question, say so explicitly.
  6. Save the finished report (this happens automatically via save_to_report).

Notes

  • Works with no API keys (DuckDuckGo search + built-in HTTP fetch). Relevance and anti-bot coverage improve automatically when Tavily / Brave / Firecrawl keys are set — this skill is provider-agnostic.
  • Use __save_to_file on internal__web_fetch for very large pages so they don't bloat even the background task's context.

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