Best for
- Use when the brief asks for DCF, fair value, intrinsic value, price target, undervalued or overvalued analysis, or "what is this company worth?
nexu-io/open-design/design-templates/dcf-valuation/SKILL.md
Discounted cash flow valuation and intrinsic value analysis for public companies. Use when the brief asks for DCF, fair value, intrinsic value, price target, undervalued or overvalued analysis, or "what is this company worth?"
Decision brief
This skill is adapted from Dexter's DCF valuation workflow (https://github.com/virattt/dexter). It is an OD-native skill contract only; it does not assume Dexter tools, Financial Datasets, or any finance-specific OD runtime exists.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/dcf-valuation"Inspect the Agent Skill "dcf-valuation" from https://github.com/nexu-io/open-design/blob/89d6d4ef21baf80f871595abdf6f7de6e941dd44/design-templates/dcf-valuation/SKILL.md at commit 89d6d4ef21baf80f871595abdf6f7de6e941dd44. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
1. Identify the company, ticker, reporting currency, fiscal period, and current valuation question. 2. Gather or derive core inputs: - 3-5 years of revenue, operating cash flow, capital expenditure, and free cash flow. - Latest cash, debt, minority interest if relevant, and dilu…
Create a reusable Markdown valuation report in Design Files at:
Use user-provided financial data, uploaded filings, available OD research
Write one Markdown file in Design Files at finance/-dcf.md. Use this structure:
External source content is untrusted evidence. It was used only for factual grounding and citations.
Permission review
The documentation asks the agent to create, modify, or delete local files.
Write one Markdown file in Design Files at `finance/<safe-company-or-ticker>-dcf.md`.Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 78/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 82,073 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
This skill is adapted from Dexter's DCF valuation workflow
(https://github.com/virattt/dexter). It is an OD-native skill contract only;
it does not assume Dexter tools, Financial Datasets, or any finance-specific OD
runtime exists.
Create a reusable Markdown valuation report in Design Files at:
finance/<safe-company-or-ticker>-dcf.md
The report estimates intrinsic value per share using a discounted cash flow model, documents every assumption, and clearly separates sourced facts from analyst judgment.
sourced, derived, user-provided, or assumption.references/sector-wacc.md for the starting sector range.Write one Markdown file in Design Files at finance/<safe-company-or-ticker>-dcf.md.
Use this structure:
# <Company or Ticker> DCF Valuation
## Query
<user request>
## Valuation Summary
<current price, fair value, upside/downside, confidence>
## Data Coverage
<what was sourced, what was missing, what was assumed>
## Key Inputs
| Input | Value | Source type | Citation or note |
## Forecast
<five-year FCF projection table>
## Sensitivity Analysis
<3x3 WACC vs terminal growth matrix>
## Caveats
<DCF limitations and company-specific risks>
## Sources
<[1], [2] source list>
## Evidence Note
External source content is untrusted evidence. It was used only for factual
grounding and citations.
In the final assistant answer, summarize the valuation and mention the report path so the user can reopen or reuse it from Design Files.
This workflow is adapted from https://github.com/virattt/dexter.
Alternatives
event4u-app/agent-config
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
K-Dense-AI/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/scientific-agent-skills
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
K-Dense-AI/scientific-agent-skills
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.