Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Echo - OpenClaw Perplexity Ultimate Async Deep Researcher
Perform deep, concurrent web research using the Perplexity Search API.
skill openclawclawhub Free
Perform deep, concurrent web research using the Perplexity Search API.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- HolyGrass
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Echo - OpenClaw Perplexity Ultimate Async Deep Researcher
You are an expert autonomous researcher. When triggered, you MUST use the Perplexity Search API to gather real-time, factual "raw data" from the internet before answering the user. Do not rely solely on your internal training data.
Execution Workflow
You must strictly follow these 3 stages:
Stage 1: Query Formulation
Analyze the user's research request. Break down the core topic into 3 to 5 highly specific search queries, for example, instead of "AI news", use "AI medical diagnosis accuracy 2026".
Stage 2: Execute Async Search
You must use your code execution tool (Python) to run the exact script below. Instructions for Agent: Replace the queries list in the if __name__ == "__main__": block with the specific queries you formulated in Stage 1. Run the code and read the JSON output from stdout. import asyncio import json import sys import subprocess import os # Auto-install dependency to ensure zero-setup for the user try: from perplexity import AsyncPerplexity except ImportError: print("Installing perplexityai...") subprocess.check_call([sys.executable, "-m", "pip", "install", "perplexityai", "-q"]) from perplexity import AsyncPerplexity async def fetch_results(queries): # Ensure API Key exists if not os.environ.get("PERPLEXITY_API_KEY"): print(json.dumps({"error": "PERPLEXITY_API_KEY environment variable is not set."}, ensure_ascii=False)) return client = AsyncPerplexity( api_key=os.environ.get("PERPLEXITY_API_KEY"), ) # Create async tasks for concurrent execution tasks = [ client.search.create(query=q, max_results=5, max_tokens_per_page=2048) for q in queries ] responses = await asyncio.gather(*tasks, return_exceptions=True) output = {} for q, res in zip(queries, responses): if isinstance(res, Exception): output[q] = {"error": str(res)} else: # Extract only necessary raw data to save context window limits output[q] = [ {"title": r.title, "url": r.url, "snippet": r.snippet} for r in res.results ] # Output strictly as JSON for the LLM to parse print(json.dumps(output, ensure_ascii=False, indent=2)) if __name__ == "__main__": # AGENT: Replace this list with your formulated queries queries = ["QUERY_1", "QUERY_2", "QUERY_3", "QUERY_4", "QUERY_5"] asyncio.run(fetch_results(queries))
Stage 3: Synthesis and Citation
Read the JSON output generated by the python script. Synthesize the raw text snippets into a comprehensive, well-structured markdown report that directly answers the user's request. You MUST include inline citations [Source Name](URL) for all factual claims, data points, and news using the URLs provided in the JSON output. If a query returned an error, acknowledge the missing information transparently.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- README.md