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Get Started Free →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.
.claude/skills/shobcoder-deep-research/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 69% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 41% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 80% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 96% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 196% | 0% |
/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 → DeliverBreak the user's query into 3–7 atomic sub-questions. Each must be:
Example:
> Query: "Is Company X profitable?"
Sub-questions:
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:
yamlsource: 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: 0.60markdown# [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 conflicts table | | Gap flagging | All unanswered sub-questions noted | Add to gaps section | | Citation accuracy | Every claim has a source | Remove or flag orphan claims | | Recency | 50%+ sources within 12 months | Flag stale data in report |
Use a flag in the trigger to switch modes:
| Flag | Mode | Description | |------|------|-------------| | (none) | Standard | Full report as specified above | | [academic] | Academic | Adds abstract, methodology, limitations, further research | | [brief] | Quick Brief | Executive summary + top 5 facts + source list. Max 300 words | | [compare] | Comparison | Side-by-side table of N items across shared dimensions |
If confidence is below 70% after the first pass:
ITERATION 2:
- Re-run searches with refined queries
- Target gaps identified in Phase 4
- Fetch Tier 1 sources directly (company.com, arxiv.org, gov sites)
- Update confidence scores
- Note in report: "This section required 2 research iterations"
Maximum iterations: 3
If confidence remains below 60% after 3 iterations, deliver with prominent uncertainty warnings.[no data found].[unverified] or [disputed] inline tags./deep-research What is the current state of fusion energy?
/deep-research [academic] Impact of LLMs on scientific paper quality
/deep-research [compare] React vs Vue vs Svelte for large-scale apps
/deep-research [brief] What caused the 2023 banking crisis?| File | Description | |------|-------------| | {topic}/report.md | Full research report | | {topic}/sources.yaml | Structured source list with tier ratings | | {topic}/claims.yaml | All extracted claims with provenance | | {topic}/conflicts.md | Conflict log with resolutions | | {topic}/metadata.json | Confidence scores, coverage stats, iteration log |
Other measured skills in the registry, with their headline benchmark lift.