Best fit
- 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
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?"
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/dcf-valuation"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
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.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/dcf-valuation"The pinned source contains enough sections and task detail for a source-grounded deep guide; automated content is still not an independent test.
564 source words · 15 usable sections
Best fit
Design outputs
Design process
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
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.
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Source-grounded prompt
Use for a design task while explicitly checking the source sections.
Use dcf-valuation for this design task: [task]. Inputs and constraints: [details]. Work through these pinned SKILL.md sections: “Workflow”, “Goal”, “Data Rules”, “Markdown Report Contract”, “DCF Valuation”. Cite the concrete requirements that shape each step, do not invent capabilities absent from the source, and verify the result against: [acceptance criteria].
Design checklist
The source section “Workflow” has been checked.
The source section “Goal” has been checked.
The source section “Data Rules” has been checked.
The source section “Markdown Report Contract” has been checked.
Source output checked: Write one Markdown file in Design Files at finance/-dcf.md. Use this structure:
Static permission evidence
These are source excerpts matched by deterministic rules, not findings of malicious behavior, safety, or actual execution.
Choose a different workflow
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.
A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.
Open source detailDistributed 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.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailUse 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.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
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.
The source record exposes this install command: npx skills add https://github.com/nexu-io/open-design --skill "design-templates/dcf-valuation". Inspect the command and pinned source before running it.
Static rules flagged write-files in the source; the page lists the matching lines and excerpts.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
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.
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.
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.
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.
Use when the user says "plan a feature", "brainstorm", "explore this idea", or wants to go from idea to structured plan and roadmap.
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.