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You MUST use this before any creative work - creating features, building components, adding…
GOD MODE deep research skill. Multi-phase autonomous research loop: query decomposition → multi-source crawling → claim cross-referencing → conflict resolution → structured synthesis with inline citations. Use for any question that demands depth, sourcing, and verifiable
$ npx -y skills add shobcoder/shob --skill research-knowledge --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/research-knowledgeContext preview
The summary Claude sees to decide when to auto-load this skill.
GOD MODE deep research skill. Multi-phase autonomous research loop: query decomposition → multi-source crawling → claim cross-referencing → conflict resolution → structured synthesis with inline citations. Use for any question that demands depth, sourcing, and verifiable
name: deep-research user-invocable: true description: > GOD MODE deep research skill. Multi-phase autonomous research loop: query decomposition → multi-source crawling → claim cross-referencing → conflict resolution → structured synthesis with inline citations. Use for any question that demands depth, sourcing, and verifiable accuracy.
`/deep-research <query>` or when user says "research this deeply", "go deep on", "full research report on", "investigate this thoroughly".
> Raw search results are noise. Verified synthesis is signal. > Every claim needs a source. Every conflict needs a resolution. > A great deep research report is a structured intelligence brief, not a search summary.
Query
└── Phase 1: Decompose → Sub-questions
└── Phase 2: Parallel Search → Raw Sources
└── Phase 3: Crawl & Extract → Claims
└── Phase 4: Cross-Reference → Verify / Conflict
└── Phase 5: Synthesize → Report
└── Phase 6: Quality Gates → Deliver---
Break the user's query into **3–7 atomic sub-questions**. Each must be:
**Example:**
> Query: "Is Company X profitable?"
Sub-questions: 1. What is Company X's current revenue model? 2. What are its reported ARR and revenue figures? 3. What is its burn rate and cost structure? 4. What do investors say about its path to profitability? 5. How does it compare to competitors on unit economics?
---
For each sub-question, issue **2–4 targeted searches** using varied query angles:
[primary term] [year] [primary term] site:official OR filetype:pdf [primary term] analysis OR breakdown OR report [primary term] vs [competitor]
**Source Priority Tiers:**
| Tier | Type | Trust Weight | |------|------|-------------| | 1 | Official docs, SEC filings, company blogs, government data, peer-reviewed papers | 1.0 | | 2 | Major news outlets (Reuters, Bloomberg, FT), industry analysts (Gartner, CB Insights) | 0.85 | | 3 | Tech blogs, newsletters, podcasts | 0.65 | | 4 | Forums, Reddit, social media | 0.40 |
Minimum sources per report: **8 unique domains** Target for complex topics: **15–25 sources**
---
For each source, fetch the full page (not just the snippet), then extract structured claims:
Tag each claim with source URL, publish date, tier rating, and a paraphrase or verbatim quote under 15 words.
**Extraction template per source:**
source: https://example.com/article
published: 2026-04-12
tier: 2
claims:
- text: "Company reached $100M ARR in Q1 2026"
type: numerical
confidence: high
- text: "CEO stated profitability target by 2027"
type: causal
confidence: medium---
Group identical or related claims across sources. If 3+ Tier 1–2 sources agree, mark as **Verified**.
Flag claims where sources contradict each other:
CONFLICT DETECTED Claim A: "Revenue is $50M ARR" — Source A, 2026-01 Claim B: "Revenue is $80M ARR" — Source B, 2026-03 Resolution: Use most recent Tier 1–2 source. Note discrepancy in report.
If a sub-question has zero Tier 1–2 sources, mark it `[unverified]` and flag it in the report.
Confidence = (sum of tier_weights x recency_factor) / num_claims recency_factor: < 30 days: 1.0 30–90 days: 0.9 3–12 months: 0.75 > 1 year: 0.60
---
# [Topic] — Deep Research Report > Researched: [date] | Sources: [N] | Confidence: [X]% | Sub-questions: [N] --- ## Executive Summary 2–4 sentence synthesis of the most important findings. Lead with the single most important fact. --- ## Table of Contents 1. [Sub-question 1 title](#anchor) 2. [Sub-question 2 title](#anchor) ... N. Conflicts and Uncertainties N+1. Sources --- ## 1. [Sub-question Title] ### Finding One clear, direct answer to the sub-question. ### Evidence - [Claim] — Source: [Name], [Date], Tier 1 - [Claim] — Source: [Name], [Date], Tier 2 - [Claim] — Source: [Name], [Date], unverified ### Confidence: [X]% | Coverage: [N] sources --- ## [Repeat for each sub-question] --- ## Conflicts and Uncertainties | Topic | Claim A | Claim B | Resolution | |-------|---------|---------|------------| | Revenue | $50M (Source A) | $80M (Source B) | Use Source B (more recent) | --- ## Knowledge Gaps - [Field X]: No Tier 1–2 sources found. Flagged as unverified. - [Field Y]: Only sources older than 12 months available. --- ## Research Metadata | Metric | Value | |--------|-------| | Total sources | N | | Tier 1–2 sources | N | | Sub-questions answered | N / N | | Average confidence | X% | | Date range of sources | YYYY-MM to YYYY-MM | | Conflicts detected | N | | Gaps flagged | N | --- ## Sources | # | URL | Type | Tier | Date | Used For | |---|-----|------|------|------|----------| | 1 | https://... | Official | 1 | 2026-05-01 | Revenue data | | 2 | https://... | News | 2 | 2026-04-10 | Funding round |
---
Run all checks before delivering the report. Fail = do not deliver until resolved.
| Gate | Requirement | Action if Fail | |------|-------------|----------------| | Source minimum | 8+ unique domains | Run additional search passes | | Tier coverage | 40%+ Tier 1–2 sources | Flag low-quality sourcing in report | | Conflict resolution | All conflicts documented | Add to
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