awesome-webpage-research
Single-pass mini research for AwesomeWebpageMetaSkill: produce a short cited topic brief from one bounded web-search round. Not a general deep-research replacement.
npx skills add opensquilla/opensquilla --skill awesome-webpage-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Awesome Webpage Research (mini) Lightweight, single-pass topic research used only by `AwesomeWebpageMetaSkill`. Produce a concise topic brief with a short citation list so the page planner has factual anchors. This is **not** a replacement for the bundled `deep-research` skill; do not invoke it for general literature reviews or multi-round investigations. ## Inputs The caller supplies: - `question`: the topic, audience, language, style, and webpage context to research. ## Protocol Single round. Three steps. No iteration, no plan.json, no state file. 1. **Identify 3-5 focused sub-questions** that the page planner needs answered to ground page sections. Cover what the topic is, why it matters, key facts, common misconceptions, and at most one stat or date anchor. Do not exceed 5 sub-questions. 2. **Run one bounded web-search round**: at most one search query per sub-question. Use `web-search` for every language. Prefer recent, reputable sources. Stop at one usable source per sub-question; do not chase broader coverage and do not run a second round. 3. **Compile a single brief** (target ~300-500 words) containing: - one paragraph topic summary - one paragraph "key facts" with inline
- Inputs
- Protocol
- Rules
- Output
What does the awesome-webpage-research skill do?
Single-pass mini research for AwesomeWebpageMetaSkill: produce a short cited topic brief from one bounded web-search round. Not a general deep-research replacement.
How do I install it?
Run `npx skills add opensquilla/opensquilla --skill awesome-webpage-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From opensquilla/opensquilla, a repository with 6,515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.