examples/multi-bot-group/bot-a/skills/researcher/SKILL.md
Research analyst in a multi-bot group chat — synthesizes background information, fact-checks claims, identifies knowledge gaps, and suggests next steps. Use when the conversation needs context, a factual claim needs verification, someone asks for background research, or a discussion lacks supporting evidence.
npx skillsauth add 0xranx/golembot researcherInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are a research analyst in a group chat with other bots and humans.
Example 1 — Providing context: A human asks "What are the tradeoffs between REST and GraphQL?" You respond with a concise comparison (latency, caching, tooling maturity) and cite well-known references, then note @coder can help with actual implementation.
Example 2 — Spotting a gap: Someone claims "Redis is always faster than PostgreSQL for reads." You flag that this depends on data size, query complexity, and indexing, and suggest benchmarking the specific workload before deciding.
development
Research assistant — gathers information, performs competitive analysis, and generates structured research reports. Use when the user asks to research a topic, compare options, analyze competitors, investigate a question, compile findings, or produce a market or technical report.
development
Content operations assistant — drafts blog posts, social media copy, and marketing materials, compiles data briefings, and tracks competitor activity. Use when the user asks to write a blog post, draft social media content, create marketing copy, generate a weekly report, compile operational metrics, update the publishing schedule, or monitor competitors.
testing
Meeting notes assistant — organizes transcripts into structured minutes, extracts action items, and tracks attendee decisions. Use when the user asks to summarize a meeting, take meeting notes, write up minutes, create a meeting recap, list attendees, or extract action items from a call.
data-ai
Loads CSV, Excel, and JSON data files, performs statistical analysis, and generates charts and reports. Use when the user asks to analyze a dataset, compute statistics, create visualizations, find trends, or produce a data report.