research-explorer

# Research Explorer ## Overview Research-topic exploration SKILL. Takes a broad direction, performs multi-dimensional web research with the agent's own WebSearch / WebFetch tools, and produces three structured Markdown deliverables. **Single stage, full quality from the start.** No Python runtime, no LLM SDK. ## When to Use - User says "I want to research X" without a specific topic. - User wants to know "what are the hot topics in X". - User needs help narrowing a broad field into 5–10 candidate topics. - User asks for "research landscape overview". ## When NOT to Use - User already has a specific research question → use `literature-survey` or `paper-writer`. - User wants a quick fact-check → use WebSearch directly. ## Workflow ### Step 1 — Understand the direction Confirm with the user: - **Direction** — the broad area of interest (e.g., "federated learning", "NLP for healthcare"). - **Constraints** — theory vs. applied, specific methods, target venue, compute budget, time horizon. - **Language** — default English in conversation; reports in English unless the user requests otherwise. ### Step 2 — Set up the run directory ```bash DIRECTION="<direction>" SLUG=$(python3 -c "import re,hashlib,sys; t=sys.argv[1]; n=re.sub(r'[\\s_]+','-',re.sub(r'[^\\w\\s-]','',t.lower().strip())).strip('-')[:40].rstrip('-'); h=hashlib.sha1(t.encode()).hexdigest()[:8]; print(f'{n}-{h}')" "$DIRECTION") TS=$(date +%Y-%m-%d_%H%M%S) RUN=output/research-explorer/$SLUG/$TS mkdir -p "$RUN"...