Installable skillMIT

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.

BY vibeevalUPDATED Oct 28, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
name: topic-resolver-7aa1abd0538e
description: "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."
---

# 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, Discord, forum |
| **Key maintainers** | Individual accounts (up to 3) |
| **Related packages** | npm, pip, cargo names |
| **Benchmarks** | Known comparison sites |

## Resolution Rules

1. **Use LLM knowledge first** - most entities are memorable (Next.js -> vercel/next.js is obvious)
2. **Only search when uncertain** - don't waste tokens resolving obvious mappings
3. **Cap at 8 entities** - more than that is noise
4. **Verify if critical** - for high-stakes research, confirm 1-2 entities via web fetch
5. **Cache resolutions** - topic -> entities cached in `~/.claude/topic-cache.jsonl`

## Output Format

```json
{
  "topic": "Next.js 15",
  "entities": {
    "repo": "vercel/next.js",
    "docs": "https://nextjs.org/docs",
    "blog": "https://nextjs.org/blog",
    "x_handles": ["@timneutkens", "@rauchg"],
    "subreddit": "r/nextjs",
    "npm": "next"
  },
  "confidence": 0.95,
  "resolved_at": "2026-04-12T04:00:00Z"
}
```

## Integration

- **oracle agent**: Calls topic-resolver first, then searches resolved entities
- **harvest agent**: Uses resolved entities as starting URLs for deep crawl
- **growth agent**: Uses resolved competitors/communities for market analysis

## When NOT to Use

- Very specific queries (already pointing at one thing)
- Internal/private topics (no public entities to resolve)
- Time-sensitive urgent research (skip the resolution step)

## Example Workflow

```
1. User: "whats happening with Astro framework"
2. topic-resolver:
   - repo: withastro/astro
   - docs: https://astro.build/blog
   - x: @astrodotbuild
   - subreddit: r/astrojs
3. oracle parallel search:
   - Latest commits on withastro/astro
   - Recent @astrodotbuild posts
   - r/astrojs top this week
   - Astro blog last 10 posts
4. Cluster results, return coherent update
```
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.