efficient-web-research
Protocol for token-efficient web research. Use when accessing URLs, GitHub repos, or running search queries. Prevents full-page fetching waste.
Efficient Web Research Skill
A protocol for accessing web content in the most token-efficient, accurate, and structured way — using the right tool at the right depth, and stopping as soon as the question is answerable.
When to Use
- Use this skill when the task matches this description: Protocol for token-efficient web research. Use when accessing URLs, GitHub repos, or running search queries. Prevents full-page fetching waste.
Core Principle
Fetch the minimum needed to answer. Skim before you dive. Stop when you can answer.
Every unnecessary fetch wastes tokens and adds noise. This skill enforces a layered approach where you escalate fetch depth only when shallower layers fail.
Step 1 — Classify the Input
Before fetching anything, identify what kind of input you received:
| Input Type | Example | Go To |
|---|---|---|
| GitHub repo URL | github.com/user/repo | [GitHub Protocol](#github-protocol) |
| Specific page URL | docs.python.org/3/library/os | [URL Protocol](#url-protocol) |
| Topic / query (no URL) | "how does RAFT consensus work" | [Search Protocol](#search-protocol) |
| Multiple URLs | List of links | [Multi-URL Protocol](#multi-url-protocol) |
| PDF / file link | .pdf, .txt, .md URL | [File Protocol](#file-protocol) |
GitHub Protocol
Use when input is a GitHub URL (repo, file, PR, issue, etc.)
Step 1 — Pars
Subscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | community |
|---|---|
| License | — |
| Risk label | safe ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-09-04 |
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