multi-search-engine
multi-search-engine queries up to eight web search engines (Brave, Tavily, SerpAPI, DuckDuckGo, Bing, Baidu, Sogou, 360) in parallel and returns normalized JSON results. Use it when research requires multiple engine coverage, fact-checking across sources, language-specific searches, or feeding diverse results into downstream skills like deep-research. API-key engines activate only when credentials are present; key-free engines always run.
git clone --depth 1 https://github.com/opensquilla/opensquilla /tmp/multi-search-engine && cp -r /tmp/multi-search-engine/src/opensquilla/skills/bundled/multi-search-engine ~/.claude/skills/multi-search-engineSKILL.md
# multi-search-engine
A unified CLI for querying several web search engines in parallel and
returning a normalized result list. Built on `httpx` and `beautifulsoup4`
(both already in OpenSquilla default dependencies, so no extra install
beyond `pip install opensquilla`).
## Use cases
- Building a `deep-research` round with diverse engine coverage
- Fact-check a claim against >1 engine
- Compare what Bing returns vs DuckDuckGo for the same query
- Search Chinese-language sources via Baidu/Sogou/360 alongside global engines
## Limitations
- A single engine sufficient → call its API directly instead
- Need headless-browser DOM rendering → this skill is HTTP-only
## Quick start
```bash
python {baseDir}/scripts/search.py \
--query "openclaw skill registry" \
--engines duckduckgo,brave \
--limit 10 \
--json
```
Output:
```json
{
"query": "...",
"results": [
{
"engine": "duckduckgo",
"title": "...",
"url": "https://...",
"snippet": "...",
"rank": 1
}
],
"errors": [
{"engine": "brave", "reason": "BRAVE_SEARCH_API_KEY/BRAVE_API_KEY not set; skipping"}
]
}
```
## Engines
| Engine | Needs key | Key env var | Strength |
|---|---|---|---|
| `duckduckgo` | no | — | Privacy-friendly, no rate limit by default |
| `bing` | no | — | HTML scrape; respect rate limits |
| `baidu` | no | — | Chinese-language web |
| `sogou` | no | — | Chinese-language web |
| `360` | no | — | Chinese-language web |
| `brave` | yes | `BRAVE_SEARCH_API_KEY` or legacy `BRAVE_API_KEY` | High-quality results, generous free tier |
| `tavily` | yes | `TAVILY_API_KEY` | Designed for AI agents, returns clean JSON |
| `serpapi` | yes | `SERPAPI_API_KEY` | Aggregator across many engines |
The script never errors out when an API-key engine's key is missing — it
records a per-engine `errors` entry and continues with the rest. Pass
`--strict` to fail fast when any requested engine is unavailable.
## Routing tips
The host should pick engines by language and availability:
- English queries → `duckduckgo`, `brave`, `bing` (one or two for triangulation)
- Chinese queries → `baidu` plus optionally `sogou` for cross-check
- Time-sensitive (last 24h) → `brave` (recency filter) or `tavily`
- Long-tail academic → fall back to direct arXiv / Google Scholar; this
skill targets general web search
`engines.md` has the full per-engine guidance.
## Boundaries
- HTTP-only. JS-rendered pages will not be readable; use a headless-browser
skill if needed.
- Scraping engines (DuckDuckGo, Bing, Baidu, Sogou, 360) are best-effort —
HTML structure changes break them. The script logs parse failures
individually and keeps the run going.
- Rate limiting is not handled inside the script. Calling the same engine
10x/sec from a loop will get blocked. Add jitter and back-off in the
caller.
- Captcha-protected results are not bypassed. If an engine returns a
challenge page, the parser will return zero results for that engine and
log a warning.Submit audio or video for multilingual dubbing, poll status, and download dubbed audio. Use when the user asks for dubbing, 多语言配音, 视频翻译配音, 译制片, or wants a source clip dubbed into another language.
Generate a structured short-video shooting script from a topic. Emits a strict, machine-parseable shot list (3 shots by default) with image prompt + video prompt + voiceover + on-screen text per shot. Trigger when the user asks for a video script, 分镜, 短视频文案, AI视频, 短剧脚本, or wants visual prompts ready for image/video generation.
Use when the user asks to schedule recurring tasks, one-off reminders, timers, or cron-style jobs through the OpenSquilla cron tool.
Multi-round research with explicit methodology, evidence tracking, and citation-tagged synthesis. Trigger on 'deep dive', 'research report', 'literature review', 'investigate X across sources', 'multi-round investigation'. Distinct from the `summarize` skill, which is a single-pass condensation; this skill maintains a state file across iterations, tracks coverage, and produces a long-form report with per-claim citations. Three execution stages: plan (scope into sub-questions), iterate (record evidence per round), compile (synthesize report). The skill itself does not fetch the web — it tells the host agent which fetches to perform via OpenSquilla's existing web tools, and records what comes back.
Read, edit, or create Microsoft Word `.docx` files. Trigger this skill whenever the user mentions a Word document, .docx file, contract, report, brief, memo, or asks to extract text, modify an existing doc, generate one from a brief, or audit tracked changes. Three execution paths: text-and-structure extraction, in-place edit-by-run (preserves styles), and create-from-scratch with python-docx. Falls back to OOXML unzip-and-patch for layout work python-docx cannot reach.
Capture the current git diff (staged, working-tree, or staged file list) as text. Direct shell call for workflows that need repository diffs without an LLM agent loop.
GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.
Query the per-turn DecisionEntry log for skill co-occurrence patterns, meta-skill usage stats, and the router fixture corpus. Returns a JSON summary suitable for downstream LLM consumption. Used by meta-skill-creator's harvest step but also useful standalone for 'which skills did I use most this week?'