ceramic
Search the web via Ceramic Search (lexical/keyword-based). Use when looking up current events, recent news, time-sensitive facts, specific people/products/companies, technical docs, or any topic requiring fresh web results. Triggers on "search the web", "look up", "find recent", "latest news", "current", or when built-in knowledge is likely stale.
What this skill does
# Ceramic Search
Lexical (keyword-based) web search. Configured as a global MCP in `~/.config/opencode/opencode.json` — invoke the `ceramic_search` tool directly (not via `skill_mcp`).
## Quick Start
```
ceramic_search(query="OpenAI GPT-5 announcement 2025")
```
Rewrite natural-language questions into keyword queries first. Fire 2–4 variants in parallel for better recall.
## Tool
| Tool | Purpose |
| ---------------- | --------------------------------------- |
| `ceramic_search` | Search the web (returns ranked results) |
## When to Use
- Current events, recent news, time-sensitive facts
- Topics where built-in knowledge may be stale
- Specific entities: people, products, technical terms, legal text, dates
## How It Works
Ceramic is **lexical**, not semantic. It matches **exact keywords and phrases** — no synonym expansion, no intent inference. Word order matters (`cat house` ≠ `house cat`).
## Querying — Keywords, Not Sentences
**Rewrite natural-language questions into keyword queries before searching.**
| ❌ Don't | ✅ Do |
| -------------------------------------------------- | ----------------------------------------------- |
| `What are the best ways to invest money?` | `beginner investing strategies stocks bonds` |
| `Why is rent so high in California?` | `California rent increase housing shortage 2025` |
| `technology news` | `OpenAI GPT-5 announcement 2025` |
| `California laws` | `California tenant security deposit return law` |
**Rules:**
- Use specific entities (names, products, dates, locations)
- Drop conversational filler (`how do I`, `what are`, `why is`)
- Include explicit synonyms when terminology varies (`college university tuition`)
- Avoid vague abstractions (`technology trends`, `people's feelings`)
## Multi-Query Strategy (Recommended)
Search is cheap. **Fire 2–4 keyword variants in parallel** instead of crafting one perfect query.
Example — user asks about climate impact on agriculture:
```
ceramic_search("climate change agriculture impact")
ceramic_search("global warming crop yields")
ceramic_search("developing countries farming climate effects")
```
Aggregate and rank results across queries.
## Limitations
- **Synonyms not matched**: `BBQ` ≠ `barbecue`, `gym` ≠ `fitness center` — include both if unsure
- **Misspellings fail**: exact spelling required
- **Conversational queries fail**: rewrite into keywords first
- **English only** (other languages coming)
## When to Combine with Other Tools
Use a different tool (or LLM reasoning) when the task requires:
- Understanding intent rather than matching words
- Conceptual/semantic similarity
- Reasoning over the answer (Ceramic returns documents, not answers)
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