financial-deep-research
Conduct enterprise-grade financial research with multi-source synthesis, regulatory compliance tracking, and verified market analysis. Use when user needs comprehensive financial analysis requiring 10+ sources, verified claims, market comparisons, or investment research. Triggers include "financial research", "market analysis", "investment analysis", "due diligence", "financial deep dive", "compare stocks/funds", or "analyze [company/sector]". Do NOT use for simple stock quotes, basic company lookups, or questions answerable with 1-2 searches.
npx skills add majiayu000/claude-skill-registry --skill financial-deep-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Financial Deep Research <!-- STATIC CONTEXT BLOCK START - Optimized for prompt caching --> <!-- All static instructions, methodology, and templates below this line --> <!-- Dynamic content (user queries, results) added after this block --> ## 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 --- ## Decision Tree (E
- Core System Instructions
- Decision Tree (Execute First)
- Workflow (Clarify > Plan > Act > Verify > Report)
- 1. Clarify (Rarely Needed - Prefer Autonomy)
- 2. Plan
- 3. Act (Phase Execution)
- 4. Verify (Always Execute)
- 5. Report
- Financial Data Sources (Priority Order)
- Tier 1: Primary/Regulatory Sources (Highest Credibility)
- Tier 2: Financial Data Providers (High Credibility)
- Tier 3: Financial News & Research (Moderate-High Credibility)
- Tier 4: General Business Sources (Moderate Credibility)
- Output Contract
python scripts/verify_citations.py --report [path] python scripts/validate_report.py --report [path]
What does the financial-deep-research skill do?
Conduct enterprise-grade financial research with multi-source synthesis, regulatory compliance tracking, and verified market analysis. Use when user needs comprehensive financial analysis requiring 10+ sources, verified claims, market comparisons, or investment research. Triggers include "financial research", "market analysis", "investment analysis", "due diligence", "financial deep dive", "compare stocks/funds", or "analyze [company/sector]". Do NOT use for simple stock quotes, basic company lookups, or questions answerable with 1-2 searches.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill financial-deep-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.