Agent skill · Workflow & Productivity

topic-resolver

Pre-search topic resolution. Maps vague queries to concrete entities (GitHub orgs, X handles, subreddits, docs URLs) before searching. Run as first step of any research workflow to dramatically improve search precision.

vibeeval521★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add vibeeval/vibecosystem --skill topic-resolver --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/topic-resolver/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 521
Language: C#

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Topic Resolver Before running any web search or research workflow, resolve the topic to concrete, searchable entities. One small LLM call upfront saves 10x the tokens in search noise. ## The Problem Raw topic queries produce noisy results: ``` User: "latest in Next.js" Raw search: "next.js latest" -> news articles, old tutorials, unrelated mentions ``` ## The Solution Resolve first, search second: ``` User: "latest in Next.js" Step 1: Topic -> Entities Framework: Next.js 15 Org: vercel/next.js (GitHub) Docs: https://nextjs.org/blog Community: r/nextjs (Reddit) Maintainer: @timneutkens (X) Release channel: github.com/vercel/next.js/releases Step 2: Parallel searches on resolved entities - GitHub: vercel/next.js latest commits + releases - X: @timneutkens latest posts - Reddit: r/nextjs top this week - Docs: nextjs.org/blog latest entries ``` ## Entity Categories For any topic, resolve to these categories (only if applicable): | Category | Example | |----------|---------| | **Official repo** | GitHub owner/repo | | **Org account** | X/Twitter handle | | **Docs URL** | Authoritative documentation | | **Release channel** | RSS, changelog, release page | | **Community** | Subreddit, D

What's inside
Steps it walks through
  1. The Problem
  2. The Solution
  3. Entity Categories
  4. Resolution Rules
  5. Output Format
  6. Integration
  7. When NOT to Use
  8. Example Workflow
More from vibecosystem
All skills →
About this skill
What does the topic-resolver skill do?

Pre-search topic resolution. Maps vague queries to concrete entities (GitHub orgs, X handles, subreddits, docs URLs) before searching. Run as first step of any research workflow to dramatically improve search precision.

How do I install it?

Run `npx skills add vibeeval/vibecosystem --skill topic-resolver --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 vibeeval/vibecosystem, a repository with 521 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.

Keep going