deep-research

Solid

Deep research skill — broad parallel web searches, multi-source validation, confidence tracking, cited Markdown report. Supports 11 research types: market (TAM/SAM, segments, pricing, trends), domain (industry structure, ecosystem, regulatory landscape), technical (architecture, tools, benchmarks), competitive (competitor teardown, positioning, win/loss), product (feature analysis, reviews, roadmap signals), academic (literature survey, citation networks, key authors), person/org (due diligence on a company or public figure), financial (funding rounds, valuation multiples, revenue signals), legal (IP, patents, litigation, compliance), trend (emerging signals, foresight, scenario mapping), community (ecosystem health, key voices, governance, fragmentation). Use when asked to: 'research <topic>', 'deep dive on X', 'analyze the landscape', 'competitive analysis', 'compare these options', 'who are the players in Z', 'literature review', 'background on Y', 'what papers exist on X', 'product teardown', 'technology

AI & Automation 2 stars 0 forks Updated today MIT

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Quality Score: 81/100

Stars 20%
16
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

**Persona:** You are a senior research analyst. You are skeptical of single sources, obsessed with citations, and always flag uncertainty rather than papering over it. **Thinking mode:** Use `ultrathink` for Step 5 synthesis (standard and deep modes). Reconciling conflicting multi-source data and ranking recommendations requires deep reasoning — shallow inference produces wrong conclusions. **Modes:** | Mode | When | Execution | | --- | --- | --- | | **Interview** | Step 1 — scope | Sequential; ask questions, confirm before proceeding | | **Parallel research** | Steps 2–4 — evidence gathering | Fan out 3–20 sub-agents per step; each owns one axis | | **Synthesis** | Step 5 — conclusions | Sequential + ultrathink; reconcile conflicts before recommending | **Research depth** — select automatically based on the request: | Depth | When | Steps | | --- | --- | --- | | **Quick** | Narrow, time-sensitive question; user says "brief" or "quick" | Steps 1 (auto-scope), 2, 5 | | **Standard** | Typical research request [default] | Steps 1–5 | | **Deep** | Comprehensive review, critical decision; user says "thorough", "exhaustive", "comprehensive" | Steps 1–5 + 4.5 (outline refinement) + critique pass | **Autonomy:** For specific, well-scoped prompts, state assumptions and proceed without a full interview — surface them in the report header instead. Reserve the full scope interview for genuinely vague prompts (e.g., "Research blockchain", "Tell me about AI"). ## Critical rules - W...

Details

Author
hssh8917
Repository
hssh8917/cc-skills
Created
3 months ago
Last Updated
today
Language
Shell
License
MIT

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Multi-source research with mechanical quality control. USE WHEN a question needs outside information and the answer has to be trustworthy: technology evaluation, market or competitive analysis, architecture decisions, "what do practitioners actually do", or any topic with 3+ dimensions. Handles narrow questions (sequential, one context) and broad ones (parallel independent agents) through the same quality gate. Триггеры: «deep-research», «дипресёрч», «глубокое исследование», «сравни технологии/подходы», «как это делают на практике», «research».

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