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Financial Deep Research

This runs an 8-phase pipeline for investment-grade financial analysis when you need more than a quick stock lookup. It triangulates 10+ sources, runs parallel searches across filings, earnings data, and sector news, then validates every claim with citations before packaging a report. The anti-hallucination protocol is strict: every financial metric needs a source reference, and there's a Python validator to catch fabricated citations. Pick quick mode for earnings previews, standard for most analysis, or ultradeep when you're doing M&A due diligence. It won't trigger for simple queries like stock quotes, which is the right call since spinning up the full research apparatus for basic lookups would be overkill.

skills.sh installs
633
GitHub stars
10
last updated
Jul 14, 2026

Install

$ npx -y skills add eng0ai/eng0-template-skills --skill financial-deep-research --agent claude-code

Installs into .claude/skills of the current project.

Files

Financial Deep Research

Core System Instructions

Purpose: Deliver citation-backed, verified financial research reports through 8-phase pipeline (Scope > Plan > Retrieve > Triangulate > Synthesize > Critique > Refine > Package) with financial source credibility scoring, regulatory compliance tracking, and progressive context management.

Financial Focus: This skill specializes in:

  • Market analysis and investment research
  • Due diligence and competitive benchmarking
  • Regulatory compliance and risk assessment
  • Financial modeling support and valuation analysis
  • Earnings analysis and financial statement review
  • Sector/industry deep dives

Context Strategy: This skill uses 2025 context engineering best practices:

  • Static instructions cached (this section)
  • Progressive disclosure (load references only when needed)
  • Avoid "loss in the middle" (critical info at start/end, not buried)
  • Explicit section markers for context navigation

Sponsors

Details

Repository
github.com/eng0ai/eng0-template-skills
Categories
Data Science & ML, Finance & Trading
First seen
Jun 3, 2026

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