deep-insight

Research

Deep Insight Engine with 5 campaigns (gap-analysis, insight, boundary-analysis, sensitivity-analysis, problem-reformulation). Use this skill whenever a user needs to deeply analyze research gaps, understand root causes, probe method boundaries, assess assumption sensitivity, or reformulate research problems. Pre-condition: north-star-crystallization complete + knowledge-acquisition campaign has produced initial findings.

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/deep-insight/SKILL.md

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Deep Insight

Deep insight engine — from surface phenomena to root causes, boundaries, assumptions, and the problem itself. Five campaigns, each a self-contained autonomous analysis domain. You provide a research gap or finding — the engine routes to the right campaign, selects a strategy, and executes autonomously with quantitative budget enforcement.

Design Philosophy

Strategy Book mode. This file is a textbook, not a script. CC reads, internalizes principles, then autonomously constructs the analysis approach for the specific research situation.

Hard constraints only:

Budget Gate: Meet the strategy's quantitative floor (±10%) before completing
Minimum Yield: Per-tactic hard floors on output quality
HARD-GATE: Pre-conditions must be satisfied before entry
Context-checkpoint: Triggered after each strategy completes

Everything else — execution order, iteration count, tactic selection, SOP combination — is CC's autonomous decision.

Pre-conditions

North-star-crystallization must be complete (research intent crystallized)
Knowledge-acquisition campaign must have produced initial findings (gaps, patterns, anomalies)

Four-Level Hierarchy

ENTRY.md (this file)
  → Campaign (5): self-contained deep analysis domain
    → Strategy: selected by analysis purpose/intent
      → Tactic: multi-step orchestration pattern (reusable across strategies)
        → SOP: single operation (import or subagent)

CC can skip the tactic layer and use SOPs directly when the task is simple enough.

Campaign Routing

Signal	Campaign
gap identification, gap classification, evidence mapping, prioritization, gap validation	→ gap-analysis
root-cause analysis, stakeholders, tensions, HMW, assumption audit, 5 Whys	→ insight
validity boundaries, method failure, robustness, distribution shift, scaling limits	→ boundary-analysis
assumption ranking, sensitivity, variance decomposition, uncertainty propagation, critical path	→ sensitivity-analysis
redefining the problem, dominant ideas, multiple perspectives, double-loop learning, wicked problems	→ problem-reformulation

Multi-Campaign Orchestration

Campaigns can be composed:

"Understand this gap deeply": gap-analysis → insight
"Is this method reliable": boundary-analysis → sensitivity-analysis
"Are we solving the wrong problem": problem-reformulation (may loop back to gap-analysis)
Full deep dive: gap-analysis → insight → boundary-analysis → sensitivity-analysis → problem-reformulation

The orchestrator decides composition based on the research state and user intent.

MCP Tools

MCP Server	Tools
brave-search	brave_web_search, brave_news_search, brave_llm_context
apify	rag-web-browser, google-scholar-scraper
alphaxiv	discover_papers, get_paper_content, answer_pdf_queries, read_files_from_github_repository
semantic-scholar	ss_paper, ss_paper_batch, ss_references, ss_citations, ss_recommendations, ss_relevance_search, ss_author, ss_author_papers

Context Management Integration

Campaign start: context-init (load/create campaign context file)
After each strategy completes: context-checkpoint (append findings to campaign context file)
CC discretion: Additional checkpoints when information density warrants it
One context file per campaign: format context/deep-insight-[campaign]-[topic].md

Dependencies

Dependency	What It Provides
web-browsing	web-search + web-research
literature-engine	literature-overview + literature-search + literature-research
subagent-spawning	Subagent dispatch conventions
context-management	Checkpoint protocol
north-star-crystallization	Pre-condition (research intent)
knowledge-acquisition	Pre-condition (initial findings)

Available Campaigns

Optional, no fixed order; the final leaf is always a sop.

Campaign	When to use
boundary-analysis	Boundary Analysis Campaign — probe where methods fail, map validity envelopes, test robustness, catalog failure modes, detect scaling limits. 5 strategies, 3 tactics, 11 subagent SOPs.
deep-insight-sensitivity-analysis	Sensitivity Analysis Campaign — identify which assumptions are most critical by measuring their impact on conclusions. 5 strategies (parameter-screening, variance-decomposition, assumption-criticality, uncertainty-propagation, decision-sensitivity), 3 tactics, 11 subagent SOPs.
gap-analysis	Gap Analysis Campaign — identify, classify, validate, and prioritize research gaps via systematic evidence mapping. 5 strategies (gap-identification, gap-classification, gap-validation, gap-prioritization, gap-synthesis), 3 tactics, 12 subagent SOPs.
insight	Insight Campaign — deep root-cause analysis of why research gaps persist. 5 strategies (root-cause-drilling, stakeholder-mapping, tension-mining, question-reformulation, assumption-audit), 4 tactics, 13 subagent SOPs.
problem-reformulation	Problem Reformulation Campaign — question the problem itself. Escape dominant ideas, reframe from multiple perspectives, apply dialectical inquiry, assess wickedness, discover appreciative alternatives. 5 strategies, 3 tactics, 10 subagent SOPs.