Xpersona

Crawler Summary

KLTN answer-first brief

. Bộ này bao gồm 5 skills chính, bao quát từ cơ bản đến nâng cao, tập trung vào ứng dụng AI để tối ưu: . Bộ này bao gồm 5 skills chính, bao quát từ cơ bản đến nâng cao, tập trung vào ứng dụng AI để tối ưu: 1. **SSE Basics** (cơ bản implement). 2. **SSE Debugging** (debug & error handling). 3. **SSE Scaling** (scaling & production). 4. **SSE Integration with Payload** (tích hợp CMS cho social app). 5. **SSE AI Optimization** (ứng dụng AI để build nhanh). Bạn có thể copy-paste từng skill vào hệ thống AI agent của mình. Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

KLTN is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 98/100

KLTN

. Bộ này bao gồm 5 skills chính, bao quát từ cơ bản đến nâng cao, tập trung vào ứng dụng AI để tối ưu: . Bộ này bao gồm 5 skills chính, bao quát từ cơ bản đến nâng cao, tập trung vào ứng dụng AI để tối ưu: 1. **SSE Basics** (cơ bản implement). 2. **SSE Debugging** (debug & error handling). 3. **SSE Scaling** (scaling & production). 4. **SSE Integration with Payload** (tích hợp CMS cho social app). 5. **SSE AI Optimization** (ứng dụng AI để build nhanh). Bạn có thể copy-paste từng skill vào hệ thống AI agent của mình.

OpenClawself-declared

Public facts

6

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-contentNo verified compatibility signals

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 22, 2026

Vendor

Vuthuonghai Steve

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/vuthuonghai-steve/KLTN.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Vuthuonghai Steve

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

---
name: sse-basics
description: Core implementation of Server-Sent Events (SSE) for realtime one-way communication in Next.js. Basic patterns for setup, message format, and client consumption.
triggers:
  - sse basics
  - implement sse
  - sse setup
  - realtime stream
---
# SSE Basics
Foundation for SSE in social apps: one-way server push for notifications, feeds.
## Core Concepts
- Unidirectional: Server → Client only.
- Format: text/event-stream, messages end with \n\n.
- Auto-reconnect: Built-in retry (default 3s).
## Next.js Implementation
### Server (Route Handler)

text

### Client (EventSource)

text

## AI Tip: Generate with Prompt
"Generate basic SSE endpoint in Next.js for social notifications."

text

---
name: sse-debugging
description: Debugging and error handling for SSE streams. Common pitfalls, reconnection, Vercel issues.
triggers:
  - sse debug
  - sse error
  - sse reconnect
  - sse troubleshooting
---
# SSE Debugging
Handle failures in realtime streams for robust social apps.
## Common Issues & Fixes
| Issue | Cause | Fix |
|-------|-------|-----|
| Buffering | Vercel delays stream | Use TransformStream + async work after return. |
| Disconnect | Timeout | Add heartbeat: send ':\n\n' every 15s. |
| No reconnect | Error | Set retry: 5000 in message. |
## Debug Code
### Server Heartbeat

text

### Client Error Handling

text

## AI Tip: Debug with Claude
"Debug why SSE buffers all data until end in Next.js Vercel deploy."

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

. Bộ này bao gồm 5 skills chính, bao quát từ cơ bản đến nâng cao, tập trung vào ứng dụng AI để tối ưu: . Bộ này bao gồm 5 skills chính, bao quát từ cơ bản đến nâng cao, tập trung vào ứng dụng AI để tối ưu: 1. **SSE Basics** (cơ bản implement). 2. **SSE Debugging** (debug & error handling). 3. **SSE Scaling** (scaling & production). 4. **SSE Integration with Payload** (tích hợp CMS cho social app). 5. **SSE AI Optimization** (ứng dụng AI để build nhanh). Bạn có thể copy-paste từng skill vào hệ thống AI agent của mình.

Full README

. Bộ này bao gồm 5 skills chính, bao quát từ cơ bản đến nâng cao, tập trung vào ứng dụng AI để tối ưu:

  1. SSE Basics (cơ bản implement).
  2. SSE Debugging (debug & error handling).
  3. SSE Scaling (scaling & production).
  4. SSE Integration with Payload (tích hợp CMS cho social app).
  5. SSE AI Optimization (ứng dụng AI để build nhanh).

Bạn có thể copy-paste từng skill vào hệ thống AI agent của mình. Nếu cần mở rộng (ví dụ: thêm skill cho SSE vs WebSockets so sánh), hãy cho tôi biết để refine!

Skill 1: SSE Basics

---
name: sse-basics
description: Core implementation of Server-Sent Events (SSE) for realtime one-way communication in Next.js. Basic patterns for setup, message format, and client consumption.
triggers:
  - sse basics
  - implement sse
  - sse setup
  - realtime stream
---
# SSE Basics
Foundation for SSE in social apps: one-way server push for notifications, feeds.
## Core Concepts
- Unidirectional: Server → Client only.
- Format: text/event-stream, messages end with \n\n.
- Auto-reconnect: Built-in retry (default 3s).
## Next.js Implementation
### Server (Route Handler)
```typescript
// app/api/sse-basics/route.ts
import { NextRequest } from 'next/server';

export async function GET(req: NextRequest) {
  const stream = new TransformStream();
  const writer = stream.writable.getWriter();
  const encoder = new TextEncoder();

  (async () => {
    await writer.write(encoder.encode('data: {"message":"Hello SSE"}\n\n'));
    await writer.close();
  })();

  return new Response(stream.readable, {
    headers: { 'Content-Type': 'text/event-stream' }
  });
}

Client (EventSource)

useEffect(() => {
  const es = new EventSource('/api/sse-basics');
  es.onmessage = (e) => console.log(JSON.parse(e.data));
  return () => es.close();
}, []);

AI Tip: Generate with Prompt

"Generate basic SSE endpoint in Next.js for social notifications."


---

### Skill 2: SSE Debugging

name: sse-debugging description: Debugging and error handling for SSE streams. Common pitfalls, reconnection, Vercel issues. triggers:

  • sse debug
  • sse error
  • sse reconnect
  • sse troubleshooting

SSE Debugging

Handle failures in realtime streams for robust social apps.

Common Issues & Fixes

| Issue | Cause | Fix | |-------|-------|-----| | Buffering | Vercel delays stream | Use TransformStream + async work after return. | | Disconnect | Timeout | Add heartbeat: send ':\n\n' every 15s. | | No reconnect | Error | Set retry: 5000 in message. |

Debug Code

Server Heartbeat

const heartbeat = setInterval(() => writer.write(encoder.encode(':\n\n')), 15000);
// Cleanup: clearInterval on abort

Client Error Handling

es.onerror = (err) => {
  console.error(err);
  es.close(); // Manual retry with setTimeout
};

AI Tip: Debug with Claude

"Debug why SSE buffers all data until end in Next.js Vercel deploy."


---

### Skill 3: SSE Scaling

name: sse-scaling description: Scaling SSE for high-concurrency social apps. Pub/sub patterns, Redis integration, fan-out. triggers:

  • sse scale
  • sse production
  • sse redis
  • sse concurrent

SSE Scaling

From MVP to production: Handle 100+ users with low latency.

Patterns

  • Fan-out: Use Redis pub/sub for broadcast.
  • Limits: Vercel Pro: 60s timeout → Use Fluid Compute.

Redis Integration

// Install: ioredis (nếu cho phép)
import Redis from 'ioredis';
const redis = new Redis();

export async function GET() {
  const stream = new TransformStream();
  const writer = stream.writable.getWriter();

  redis.subscribe('notifications', (err, count) => {
    // Handle messages
  });

  redis.on('message', async (channel, message) => {
    await writer.write(encoder.encode(`data: ${message}\n\n`));
  });

  // Cleanup...
}

// Trigger: redis.publish('notifications', JSON.stringify(data));

AI Tip: Scale with Copilot

"Refactor SSE with Redis pub/sub for 100 concurrent notifications in Next.js social network."


---

### Skill 4: SSE Integration with Payload

name: sse-payload-integration description: Integrate SSE with Payload CMS for realtime updates in social apps (likes, comments, follows). triggers:

  • sse payload
  • sse cms
  • sse hooks
  • realtime cms

SSE with Payload CMS

Trigger SSE from CMS hooks for dynamic social feeds.

Hook Pattern

// collections/Posts.ts
hooks: {
  afterChange: [
    async ({ doc }) => {
      // Trigger SSE or Redis publish
      triggerSSE(doc.author.id, { type: 'update', data: doc });
    }
  ]
}

Full Flow

  • Hook detects change → Publish event.
  • SSE handler subscribes → Streams to connected clients.

AI Tip: Integrate with Cursor

"Generate Payload afterChange hook + SSE trigger for realtime like notifications in social app."


---

### Skill 5: SSE AI Optimization

name: sse-ai-optimization description: Use AI to accelerate SSE development: code generation, refactoring, testing. triggers:

  • sse ai
  • ai sse
  • optimize sse
  • ai realtime

SSE AI Optimization

Leverage AI to reduce dev time 70%: Generate, debug, test SSE.

Prompts for AI Agents

  • Generate: "Create SSE prototype for news feed updates in Next.js with Vercel."
  • Refactor: "Optimize SSE code for scaling with Redis in social app."
  • Test: "Write Jest tests for SSE stream handling errors."

Benefits (from X trends 2026)

  • Cursor AI: Auto-complete SSE patterns.
  • Claude: Suggest Vercel fixes.

Example AI-Generated Test

test('SSE handles abort', async () => {
  // Simulate request abort...
});

Tip: Chain Agents

Use openspace: Spec → AI generate SSE code → AI debug .

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

api_key

Streaming

Yes

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript, streaming

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/snapshot"
curl -s "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/contract"
curl -s "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript",
    "streaming"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": true,
  "inputSchemaRef": "https://github.com/vuthuonghai-steve/KLTN#input",
  "outputSchemaRef": "https://github.com/vuthuonghai-steve/KLTN#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:43:55.507Z",
  "sourceUpdatedAt": "2026-02-24T19:43:55.507Z",
  "freshnessSeconds": 4430268
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T02:21:44.424Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:55.507Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:55.507Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/vuthuonghai-steve/KLTN#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:55.507Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Vuthuonghai Steve",
    "href": "https://github.com/vuthuonghai-steve/KLTN",
    "sourceUrl": "https://github.com/vuthuonghai-steve/KLTN",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/vuthuonghai-steve-kltn/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to KLTN and adjacent AI workflows.