deep-research

Featured

Use this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need synthesis across multiple external sources, iterative follow-up research, or a reusable written artifact. Do not use for quick factual lookups, single-source summaries, simple Q&A, summarizing one document the user already provided, plan-only requests where the user explicitly defers the actual research, or when the user wants a short answer with no need for cited evidence (a short but evidence-backed conclusion is still a brief memo, which this skill covers). Chinese trigger examples: "帮我调研", "深度研究", "综述报告", "技术选型分析", "竞品研究", "政策分析".

AI & Automation 631 stars 121 forks Updated 1 weeks ago MIT

Install

View on GitHub

Quality Score: 96/100

Stars 20%
93
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Deep Research V8.1 This skill is for **evidence-rich research outputs**, not for every question that happens to mention “analysis”. The V8 shift is simple: - **Single-agent first.** Start with one lead agent and only fan out when parallel work will clearly help. - **Thin harness, fat skill.** Put reusable judgment and workflow here; keep deterministic checks in scripts. - **Context organization over prompt stuffing.** Load the minimum active context bundle, then pull in references only when needed. - **Eval and observability built in.** A good report is not enough; the run must also be diagnosable and improvable. ## What this skill should produce Choose the lightest artifact that satisfies the task. | Output type | Use when | Typical length | Required artifacts | |---|---|---:|---| | **Brief memo** | user wants a concise answer with evidence | 800-1800 words | `research-plan.md`, `registry.md`, `draft.md`, `run-summary.json` | | **Full report** | user asks for comprehensive analysis / literature review / decision document | 2500-6000 words | all core artifacts + `evaluation.md` | | **Delta update** | user says “continue”, “second round”, “what changed”, “deepen round 2” | 600-1800 words | prior round handoff (`references/handoff-format.md`) + new notes + delta draft | If the user did **not** ask for a long report, default to **Brief memo**. ## When NOT to use this skill Do **not** activate for: - quick fact lookups or simple definitions - summarizing a single provid...

Details

Author
staruhub
Repository
staruhub/ClaudeSkills
Created
9 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

deep-research

Multi-phase structured research pipeline with citation tracking, evidence persistence, and knowledge-graph-native output. Use when the user asks for "deep research", "comprehensive analysis", "literature review", "research report", "state of the art on", "structured research pipeline", "multi-source investigation", or wants a citation-tracked report saved to the knowledge graph. Different from a single-pass web-search lookup (quick answers). this skill is for multi-phase work that needs evidence persistence, claim-level verification, and entity cross-references in the knowledge graph. 4 mode tiers (quick / standard / deep / ultradeep) with 3-8 phases each. Outputs to `pages/Research___YYYY-MM-DD___[topic-slug].md` with auto-created `Entity/` and `Source/` cross-link pages.

3 Updated today
0xUrsanomics
AI & Automation Listed

deep-research

Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.

2 Updated yesterday
NewAbra
AI & Automation Solid

deep-research

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

2 Updated yesterday
hssh8917