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skills/keenable-deep-research/SKILL.md
1.86 KB · Oct 5, 2026 · 18:04 UTC
--- name: keenable-deep-research description: "Run comprehensive multi-source web research with Keenable and synthesize a cited answer. Use for literature reviews, market and competitor analyses, and detailed comparisons." --- # Keenable Deep Research Produce a thorough, well-cited answer to a broad question by iterating over the Keenable search and extract tools. Use this for tasks that a single search can't cover: literature reviews, market and competitor analyses, and detailed comparisons. ## Workflow 1. **Decompose.** Break the question into 3-6 concrete sub-questions. State them before searching so the plan is auditable. 2. **Search per sub-question.** Run a focused `search_web_pages` query for each. Keep queries specific; split further when coverage is thin. 3. **Read the strongest sources.** Use `fetch_page_content` on the most relevant results to read them in full rather than trusting snippets for anything consequential. 4. **Cross-check.** For any claim that affects the conclusion, confirm it against at least one independent source. Note disagreements explicitly. 5. **Synthesize.** Write the answer in your own words, grouped by sub-question or theme. Cite every factual claim with its source URL. Separate sourced facts from your own analysis, and call out gaps or low-confidence areas. ## Guidance - Track which sub-questions are answered and which still need work; keep going until the question is covered, not just until the first search returns. - Prefer primary and authoritative sources; treat aggregators and undated pages with caution. - For relative dates, compute exact dates from today before searching. - The tools are rate-limited. If a long research run hits the limit, report what was covered so far and stop instead of retrying in a loop; never ask the user to paste an API key or any other credential into the conversation.
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