技能备份 - 2026-04-15 (40个技能)

This commit is contained in:
root
2026-04-15 18:53:15 +08:00
parent f62f14814f
commit c65fce24e4
791 changed files with 190773 additions and 0 deletions
+38
View File
@@ -0,0 +1,38 @@
---
name: tavily
description: AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.
homepage: https://tavily.com
metadata: {"clawdbot":{"emoji":"🔍","requires":{"bins":["node"],"env":["TAVILY_API_KEY"]},"primaryEnv":"TAVILY_API_KEY"}}
---
# Tavily Search
AI-optimized web search using Tavily API. Designed for AI agents - returns clean, relevant content.
## Search
```bash
node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news
```
## Options
- `-n <count>`: Number of results (default: 5, max: 20)
- `--deep`: Use advanced search for deeper research (slower, more comprehensive)
- `--topic <topic>`: Search topic - `general` (default) or `news`
- `--days <n>`: For news topic, limit to last n days
## Extract content from URL
```bash
node {baseDir}/scripts/extract.mjs "https://example.com/article"
```
Notes:
- Needs `TAVILY_API_KEY` from https://tavily.com
- Tavily is optimized for AI - returns clean, relevant snippets
- Use `--deep` for complex research questions
- Use `--topic news` for current events
+6
View File
@@ -0,0 +1,6 @@
{
"ownerId": "kn7azq5e6sw0fbwwzdpcwvvjzd7z0x4z",
"slug": "tavily-search",
"version": "1.0.0",
"publishedAt": 1768114920544
}
+59
View File
@@ -0,0 +1,59 @@
#!/usr/bin/env node
function usage() {
console.error(`Usage: extract.mjs "url1" ["url2" ...]`);
process.exit(2);
}
const args = process.argv.slice(2);
if (args.length === 0 || args[0] === "-h" || args[0] === "--help") usage();
const urls = args.filter(a => !a.startsWith("-"));
if (urls.length === 0) {
console.error("No URLs provided");
usage();
}
const apiKey = (process.env.TAVILY_API_KEY ?? "").trim();
if (!apiKey) {
console.error("Missing TAVILY_API_KEY");
process.exit(1);
}
const resp = await fetch("https://api.tavily.com/extract", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({
api_key: apiKey,
urls: urls,
}),
});
if (!resp.ok) {
const text = await resp.text().catch(() => "");
throw new Error(`Tavily Extract failed (${resp.status}): ${text}`);
}
const data = await resp.json();
const results = data.results ?? [];
const failed = data.failed_results ?? [];
for (const r of results) {
const url = String(r?.url ?? "").trim();
const content = String(r?.raw_content ?? "").trim();
console.log(`# ${url}\n`);
console.log(content || "(no content extracted)");
console.log("\n---\n");
}
if (failed.length > 0) {
console.log("## Failed URLs\n");
for (const f of failed) {
console.log(`- ${f.url}: ${f.error}`);
}
}
+101
View File
@@ -0,0 +1,101 @@
#!/usr/bin/env node
function usage() {
console.error(`Usage: search.mjs "query" [-n 5] [--deep] [--topic general|news] [--days 7]`);
process.exit(2);
}
const args = process.argv.slice(2);
if (args.length === 0 || args[0] === "-h" || args[0] === "--help") usage();
const query = args[0];
let n = 5;
let searchDepth = "basic";
let topic = "general";
let days = null;
for (let i = 1; i < args.length; i++) {
const a = args[i];
if (a === "-n") {
n = Number.parseInt(args[i + 1] ?? "5", 10);
i++;
continue;
}
if (a === "--deep") {
searchDepth = "advanced";
continue;
}
if (a === "--topic") {
topic = args[i + 1] ?? "general";
i++;
continue;
}
if (a === "--days") {
days = Number.parseInt(args[i + 1] ?? "7", 10);
i++;
continue;
}
console.error(`Unknown arg: ${a}`);
usage();
}
const apiKey = (process.env.TAVILY_API_KEY ?? "").trim();
if (!apiKey) {
console.error("Missing TAVILY_API_KEY");
process.exit(1);
}
const body = {
api_key: apiKey,
query: query,
search_depth: searchDepth,
topic: topic,
max_results: Math.max(1, Math.min(n, 20)),
include_answer: true,
include_raw_content: false,
};
if (topic === "news" && days) {
body.days = days;
}
const resp = await fetch("https://api.tavily.com/search", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify(body),
});
if (!resp.ok) {
const text = await resp.text().catch(() => "");
throw new Error(`Tavily Search failed (${resp.status}): ${text}`);
}
const data = await resp.json();
// Print AI-generated answer if available
if (data.answer) {
console.log("## Answer\n");
console.log(data.answer);
console.log("\n---\n");
}
// Print results
const results = (data.results ?? []).slice(0, n);
console.log("## Sources\n");
for (const r of results) {
const title = String(r?.title ?? "").trim();
const url = String(r?.url ?? "").trim();
const content = String(r?.content ?? "").trim();
const score = r?.score ? ` (relevance: ${(r.score * 100).toFixed(0)}%)` : "";
if (!title || !url) continue;
console.log(`- **${title}**${score}`);
console.log(` ${url}`);
if (content) {
console.log(` ${content.slice(0, 300)}${content.length > 300 ? "..." : ""}`);
}
console.log();
}