Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
#1 on DeepResearch Bench (Feb 2026). Deep research agent powered by CellCog. Market research, competitive analysis, stock analysis, investment research, academic research with citations.
#1 on DeepResearch Bench (Feb 2026). Deep research agent powered by CellCog. Market research, competitive analysis, stock analysis, investment research, academic research with citations.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
#1 on DeepResearch Bench (Feb 2026). Your AI research analyst for comprehensive, citation-backed research on any topic. Leaderboard: https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard
This skill requires the cellcog skill for SDK setup and API calls. clawhub install cellcog Read the cellcog skill first for SDK setup. This skill shows you what's possible. Quick pattern (v1.0+): # Fire-and-forget - returns immediately result = client.create_chat( prompt="[your research query]", notify_session_key="agent:main:main", task_label="research-task", chat_mode="agent team" # Deep research ) # Daemon notifies you when complete - do NOT poll
Analyze companies against their competitors with structured insights: Company vs. Competitors: "Compare Stripe vs Square vs Adyen - market positioning, pricing, features, strengths/weaknesses" SWOT Analysis: "Create a SWOT analysis for Shopify in the e-commerce platform market" Market Positioning: "How does Notion position itself against Confluence, Coda, and Obsidian?" Feature Comparison: "Compare the AI capabilities of Salesforce, HubSpot, and Zoho CRM"
Understand markets, industries, and trends: Industry Analysis: "Analyze the electric vehicle market in Europe - size, growth, key players, trends" Market Sizing: "What's the TAM/SAM/SOM for AI-powered customer service tools in North America?" Trend Analysis: "What are the emerging trends in sustainable packaging for 2026?" Customer Segments: "Identify and profile the key customer segments for premium pet food" Regulatory Landscape: "Research FDA regulations for AI-powered medical devices"
Financial research with data and analysis: Company Fundamentals: "Analyze NVIDIA's financials - revenue growth, margins, competitive moat" Investment Thesis: "Build an investment thesis for Microsoft's AI strategy" Sector Analysis: "Compare semiconductor stocks - NVDA, AMD, INTC, TSM" Risk Assessment: "What are the key risks for Tesla investors in 2026?" Earnings Analysis: "Summarize Apple's Q4 2025 earnings and forward guidance"
Deep dives with proper citations: Literature Review: "Research the current state of quantum error correction techniques" Technology Deep Dive: "Explain transformer architectures and their evolution from attention mechanisms" Scientific Topics: "What's the latest research on CRISPR gene editing for cancer treatment?" Historical Analysis: "Research the history and impact of the Bretton Woods system"
Comprehensive research for decision-making: Startup Due Diligence: "Research [Company Name] - founding team, funding, product, market, competitors" Vendor Evaluation: "Compare AWS, GCP, and Azure for enterprise AI/ML workloads" Partnership Analysis: "Research potential risks and benefits of partnering with [Company]"
CellCog can deliver research in multiple formats: FormatBest ForInteractive HTML ReportExplorable dashboards with charts, expandable sectionsPDF ReportShareable, printable professional documentsMarkdownIntegration into your docs/wikisPlain ResponseQuick answers in chat Specify your preferred format in the prompt: "Create an interactive HTML report on..." "Generate a PDF research report analyzing..." "Give me a markdown summary of..."
For research, always use chat_mode="agent team" (the default). Agent team mode enables: Multi-source research and cross-referencing Citation verification Deeper analysis with multiple reasoning passes Higher quality, more comprehensive outputs Use chat_mode="agent" only for trivial lookups like "What's Apple's stock ticker?"
Citations are NOT automatic. CellCog focuses on delivering accurate, well-researched content by default. If you need citations: Explicitly request them: "Include citations for all factual claims with source URLs" Specify format: "Provide citations as footnotes" or "Include a references section at the end" Indicate placement: "Citations inline" vs "Citations in appendix" Without explicit citation requests, CellCog prioritizes delivering accurate information efficiently.
CellCog cross-references multiple sources for financial and statistical data, ensuring accuracy even without explicit citations.
Complex research is organized with clear sections, executive summaries, and actionable insights.
Research reports can include: Charts and graphs Comparison tables Timeline visualizations Market maps
Quick competitive intel: "Compare Figma vs Sketch vs Adobe XD for enterprise UI design teams. Focus on collaboration features, pricing, and Figma's position after the Adobe acquisition failed." Deep market research: "Create a comprehensive market research report on the AI coding assistant market. Include market size, growth projections, key players (GitHub Copilot, Cursor, Codeium, etc.), pricing models, and enterprise adoption trends. Deliver as an interactive HTML report." Investment analysis: "Build an investment analysis for Palantir (PLTR). Cover business model, government vs commercial revenue mix, AI product strategy, valuation metrics, and key risks. Include relevant charts." Academic deep dive: "Research the current state of nuclear fusion energy. Cover recent breakthroughs (NIF, ITER, private companies like Commonwealth Fusion), technical challenges remaining, timeline to commercial viability, and investment landscape."
Be specific: "AI market" is vague. "Enterprise AI automation market in healthcare" is better. Specify timeframe: "Recent" is ambiguous. "2025-2026" or "last 6 months" is clearer. Define scope: "Compare everything about X and Y" leads to bloat. "Compare X and Y on pricing, features, and market positioning" is focused. Request structure: "Include executive summary, key findings, and recommendations" helps organize output. Mention output format: "Deliver as PDF" or "Create interactive HTML dashboard" gets you the right format.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.