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fsi-command-dcf
Use when financial-services work requires build a DCF valuation model with comps-informed terminal multiples.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use when financial-services work requires build a DCF valuation model with comps-informed terminal multiples.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when financial-services work requires processes an earnings event end to end — reads the call transcript and filings, updates the coverage model, and drafts the post-earnings note. Use when a covered name reports; for a single name interactively, or fanned out across a coverage list as a managed agent..
Use when financial-services work requires reconciles general ledger to subledger across asset classes for a trade date — finds breaks, traces root cause, and routes the exception report for sign-off. Use for daily or month-end recon runs; not for journal-entry posting (use month-end-closer for that)..
Use when financial-services work requires parses an onboarding document packet, runs the firm's KYC/AML rules engine, screens against sanctions and PEP lists, and flags gaps for escalation. Use for new-client onboarding or periodic refresh — not for transaction monitoring..
Use when financial-services work requires produces sector or thematic market research — industry overview, competitive landscape, trading-comps spread of the peer set, and a thematic ideas shortlist — packaged as a research note with optional slides. Use when an analyst or PM asks for a primer on a sector or theme; not for single-name coverage updates (use earnings-reviewer for that)..
Use when financial-services work requires builds a briefing pack before a client or prospect meeting — relationship history from CRM, holdings and recent activity, market context, and a suggested agenda. Use ahead of any client meeting; pairs with a calendar event..
Use when financial-services work requires builds DCF, LBO, three-statement, and trading-comps models live in Excel from a ticker and assumption set. Use when you need a clean model from scratch — not for updating an existing coverage model (use earnings-reviewer for that)..
| name | fsi-command-dcf |
| description | Use when financial-services work requires build a DCF valuation model with comps-informed terminal multiples. |
| version | 0.1.0 |
| author | Changhochien |
| license | MIT |
| platforms | ["linux","macos","windows"] |
| metadata | {"hermes":{"tags":["command","dcf","financial-analysis","financial-services"],"related_skills":[]}} |
This is the Hermes profile equivalent of the original Cowork slash command /dcf from financial-analysis. Invoke it explicitly with /skill fsi-command-dcf or ask in natural language for this workflow.
/dcf or a dcf financial-services workflow.Build an institutional-quality DCF model that uses comparable company analysis to inform valuation ranges.
If a company name or ticker is provided, use it. Otherwise ask:
First, load the comps-analysis skill to build trading comps:
Use skill: "comps-analysis" to:
Key outputs to capture from comps:
Load the dcf-model skill to construct the valuation:
Use skill: "dcf-model" to:
Use comps to inform DCF assumptions:
| Comps Output | DCF Input |
|---|---|
| Peer median EV/EBITDA | Terminal exit multiple range |
| Peer 25th-75th EV/EBITDA | Sensitivity analysis range |
| Peer median growth rate | Benchmark for revenue assumptions |
| Peer median EBITDA margin | Target margin in terminal year |
| Peer median P/E | Cross-check implied P/E from DCF |
After DCF is complete, validate:
Provide:
VALUATION SUMMARY: [Company] ([Ticker])
Comparable Companies Analysis:
- Peer Group: [List of 4-6 comps]
- Median EV/EBITDA: 12.5x (range: 10.2x - 15.8x)
- Median EV/Revenue: 3.2x (range: 2.1x - 4.5x)
DCF Valuation (Base Case):
- Implied Share Price: $XX.XX
- Current Price: $YY.YY
- Implied Upside: +XX%
Valuation Cross-Check:
- DCF Implied EV/EBITDA: 13.2x (vs peer median 12.5x)
- DCF Implied P/E: 22.4x (vs peer median 20.1x)
- Terminal Value: 62% of EV (within normal range)
Key Assumptions:
- Revenue CAGR: X% (vs peer median X%)
- Terminal EBITDA Margin: X% (vs peer median X%)
- WACC: X.X%
- Terminal Growth: X.X%
/skill fsi-command-dcf