Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
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. 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.
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.
A powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required โ uses DuckDuckGo search.
When the user asks for research on any topic, follow this workflow:
Ask 1-2 quick clarifying questions: "What's your goal โ learning, making a decision, or writing something?" "Any specific angle or depth you want?" If the user says "just research it" โ skip ahead with reasonable defaults.
Break the topic into 3-5 research sub-questions. For example: Topic: "Impact of AI on healthcare" What are the main AI applications in healthcare today? What clinical outcomes have been measured? What are the regulatory challenges? What companies are leading this space? What's the market size and growth trajectory?
For EACH sub-question, run the DDG search script: # Web search /home/clawdbot/clawd/skills/ddg-search/scripts/ddg "<sub-question keywords>" --max 8 # News search (for current events) /home/clawdbot/clawd/skills/ddg-search/scripts/ddg news "<topic>" --max 5 Search strategy: Use 2-3 different keyword variations per sub-question Mix web + news searches Aim for 15-30 unique sources total Prioritize: academic, official, reputable news > blogs > forums
For the most promising URLs, fetch full content: curl -sL "<url>" | python3 -c " import sys, re html = sys.stdin.read() # Strip tags, get text text = re.sub('<[^>]+>', ' ', html) text = re.sub(r'\s+', ' ', text).strip() print(text[:5000]) " Read 3-5 key sources in full for depth. Don't just rely on search snippets.
Save the full report: mkdir -p ~/clawd/research/[slug] # Write report to ~/clawd/research/[slug]/report.md Then deliver: Short topics: Post the full report in chat Long reports: Post the executive summary + key takeaways, offer full report as file
Every claim needs a source. No unsourced assertions. Cross-reference. If only one source says it, flag it as unverified. Recency matters. Prefer sources from the last 12 months. Acknowledge gaps. If you couldn't find good info on a sub-question, say so. No hallucination. If you don't know, say "insufficient data found."
"Research the current state of nuclear fusion energy" "Deep dive into Rust vs Go for backend services in 2026" "Research the best strategies for bootstrapping a SaaS business" "What's happening with the US housing market right now?"
When spawning as a sub-agent, include the full research request and context: sessions_spawn( task: "Run deep research on [TOPIC]. Follow the deep-research-pro SKILL.md workflow. Read /home/clawdbot/clawd/skills/deep-research-pro/SKILL.md first. Goal: [user's goal] Specific angles: [any specifics] Save report to ~/clawd/research/[slug]/report.md When done, wake the main session with key findings.", label: "research-[slug]", model: "opus" )
DDG search script: /home/clawdbot/clawd/skills/ddg-search/scripts/ddg curl (for fetching full pages) No API keys needed!
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.