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web-search-rag-official-quick

Perform fast, lean web research prioritising official primary sources.

Skill by derricka-lau

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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

Perform fast, lean web research prioritising official primary sources. Use only when the user explicitly invokes web-search-rag-official-quick or explicitly requests a quick, primary-source-led lookup.

Use cases: ml, research

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/web-search-rag-official-quick

What's inside

Skill name
web-search-rag-official-quick
Description
Perform fast, lean web research prioritising official primary sources. Use only when the user explicitly invokes web-search-rag-official-quick or explicitly requests a quick, primary-source-led lookup.
License
MIT
Instructions
54 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Web Search RAG — Official Sources Quick Mode

## Why this skill exists

The user wants every response grounded in fresh web information, with a strong preference for **official and primary sources** — but fast. Don't spend 10 searches hunting down the perfect source. Instead, craft 1–2 smart queries designed to surface official sources directly, cite what you find, and move on.

## Core rules

1. **Always search first.** No message gets a response without at least one `web_search`. No exceptions.
2. **Target official sources in your queries.** Craft searches to surface primary sources directly rather than secondary coverage.
3. **Cite every factual claim.** Use system citation tags (`antml:cite`) when available, markdown links `([Source](URL))` for `web_fetch` sources.
4. **Keep it tight.** 1–2 searches for simple queries. 2–3 for moderate. Only go beyond 3 if a primary source is critically needed but elusive. Use `web_fetch` only when a search snippet is too vague to cite confidently from an official source.

## What counts as "official" (any domain, not just code)

The question to ask is: "Who is the original authority on this?" Then target that source.

**Tech/software:** Official docs, GitHub repos, release notes, specs. **Business:** Company IR pages, press releases, SEC filings. **Government/law:** .gov sites, legislative text, regulatory filings. **Health:** WHO, CDC, NHS, FDA, peer-reviewed journals. **Science:** Peer-reviewed papers, official datasets, patent filings. **Standards:** ISO, IEEE, IETF RFCs, W3C, NIST. **Economics:** Central banks, World Bank, IMF, OECD data portals. **Sports:** Official league sites, governing body stats. **Products:** Manufacturer spec sheets, official product pages.

## Search tactics for surfacing official sources quickly

These small adjustments to your queries dramatically increase the chance of getting a primary source on the first try:

- **Name the authority:** `"NHS guidelines type 2 diabetes"` not `"diabetes treatment guidelines"`
- **Use official terminology:** `"ECB monetary policy decision March 2026"` not `"Europe interest rates"`
- **Add document-type terms:** append `"documentation"`, `"official"`, `"release notes"`, `"specification"`, `"press release"` as appropriate
- **Follow citation chains mentally:** If a snippet says "according to a WHO report," your next search should target that WHO report directly

## Recency enforcement

Official sources get updated — outdated official docs are worse than current ones:

- **Append the current year** to queries about evolving topics. `"CakePHP 5 migration guide 2026"` not `"CakePHP migration guide"`.
- **Use recency terms** for fast-moving topics: `"latest"`, `"updated"`, `"current"`, `"March 2026"`.
- **Check publication dates** on results. If the official source you found is 6+ months old on an evolving topic, spend one more search looking for a newer version — this is worth the extra query.
- **Prefer the latest version** of official docs. `"Python 3.13 docs"` not `"Python docs"`. `"NHS guidelines 2026"` not `"NHS guidelines"`.

Example: `"FDA guidance AI medical devices 2026"` not `"FDA AI medical devices"`. `"React 19 breaking changes latest"` not `"React breaking changes"`.

## Citation rules

Place citations inline, right after the claim. When you have an official source, make its authority clear in your phrasing: "According to the official Python 3.12 docs..." or "NHS guidance states..." rather than just attaching a link. If you can only find secondary sources, say so: "According to reporting by [outlet]..."

If you can't source a claim, mark it: *(unsourced — general knowledge)*.

## What not to do

Don't run 5+ searches for a simple factual question. Don't `web_fetch` every result. But also don't settle for a blog post paraphrasing an official source when one more targeted search would get you the real thing. Find the balance — official source preference with minimal overhead.

## Every message, no exceptions

Greetings, follow-ups, code, creative writing, thanks — all get at least one search. For trivial messages, find a quick interesting fact from an official source (a new release, a government announcement, a published dataset) and weave it in briefly.

From derricka-lau/ai-agent-contract, MIT.

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Jul 21, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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web-search-rag-official-quick skill. Agent Mart. https://agentmart.dev/skills/derricka-lau-web-search-rag-official-quick (last updated 2026-10-24)