Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Parallel Deep Research
Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For quick lookups or news, use parallel-search instead.
skill openclawclawhub Free
Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For quick lookups or news, use parallel-search instead.
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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
- 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. 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. 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
- NormallyGaussian
- Source page
- View original listing
- Canonical URL
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Documentation
Parallel Deep Research
Deep, multi-source research for complex topics requiring synthesis from many sources. Returns comprehensive reports with citations.
When to Use
Trigger this skill when the user asks for: "deep research on...", "thorough investigation of...", "comprehensive report about..." "research everything about...", "full analysis of..." Complex topics requiring synthesis from 10+ sources Competitive analysis, market research, due diligence Questions where depth and accuracy matter more than speed NOT for: Quick lookups or simple questions (use parallel-search) Current news or recent events (use parallel-search with --after-date) Reading specific URLs (use parallel-extract)
Quick Start
parallel-cli research run "your research question" --processor pro-fast --json -o ./report
Basic Usage
parallel-cli research run "<question>" [options]
Common Flags
FlagDescription-p, --processor <tier>Processor tier (see table below)--jsonOutput as JSON-o, --output <path>Save results to file (creates .json and .md)-f, --input-file <path>Read query from file (for long questions)--timeout NMax wait time in seconds (default: 3600)--no-waitReturn immediately, poll later with research status
Processor Tiers
ProcessorTimeUse Caselite-fast10-20sQuick lookupsbase-fast15-50sSimple questionscore-fast15s-100sModerate researchpro-fast30s-5minExploratory research (default)ultra-fast1-10minMulti-source deep researchultra2x-fast1-20minDifficult deep researchultra4x-fast1-40minVery difficult researchultra8x-fast1min-1hrMost challenging research Non-fast variants (e.g., pro, ultra) take longer but use fresher data.
Examples
Basic research: parallel-cli research run "What are the latest developments in quantum computing?" \ --processor pro-fast \ --json -o ./quantum-report Deep competitive analysis: parallel-cli research run "Compare Stripe, Square, and Adyen payment platforms: features, pricing, market position, and developer experience" \ --processor ultra-fast \ --json -o ./payments-analysis Long research question from file: # Create question file cat > /tmp/research-question.txt << 'EOF' Investigate the current state of AI regulation globally: 1. What regulations exist in the US, EU, and China? 2. What's pending or proposed? 3. How do companies like OpenAI, Google, and Anthropic respond? 4. What industry groups are lobbying for/against regulation? EOF parallel-cli research run -f /tmp/research-question.txt \ --processor ultra-fast \ --json -o ./ai-regulation-report Non-blocking research: # Start research without waiting parallel-cli research run "research question" --no-wait # Check status later parallel-cli research status <task-id> # Poll until complete parallel-cli research poll <task-id> --json -o ./report
Research Question
Write 2-5 sentences describing: The specific question or topic Scope boundaries (time period, geography, industries) What aspects matter most (pricing? features? market share?) Desired output format (comparison table, timeline, pros/cons) Good: Compare the top 5 CRM platforms for B2B SaaS companies with 50-200 employees. Focus on: pricing per seat, integration ecosystem, reporting capabilities. Include recent 2024-2026 changes and customer reviews from G2/Capterra. Poor: Tell me about CRMs
Response Format
Returns structured JSON with: task_id โ unique identifier for polling status โ pending, running, completed, failed result โ when complete: summary โ executive summary findings[] โ detailed findings with sources sources[] โ all referenced URLs with titles
Output Handling
When presenting research results: Lead with the executive summary verbatim Present key findings without paraphrasing Include source URLs for all facts Note any conflicting information between sources Preserve all facts, names, numbers, dates, quotes
Running Out of Context?
For long conversations, save results and use sessions_spawn: parallel-cli research run "<question>" --json -o /tmp/research-<topic> Then spawn a sub-agent: { "tool": "sessions_spawn", "task": "Read /tmp/research-<topic>.json and present the executive summary and key findings with sources.", "label": "research-summary" }
Error Handling
Exit CodeMeaning0Success1Unexpected error (network, parse)2Invalid arguments3API error (non-2xx)
Prerequisites
Get an API key at parallel.ai Install the CLI: curl -fsSL https://parallel.ai/install.sh | bash export PARALLEL_API_KEY=your-key
References
API Docs Research API Reference
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
1 Docs
- SKILL.md