K L D'Souza
Community@lyndonkl
Full Stack Developer since 2012
Agent Skills by K L D'Souza
Showing 128 vetted skills indexed across 2 GitHub repositories.
slop-detector
Detect ten fixed signatures of AI-generated prose in written drafts.
readability-check
Score prose with five readability formulas and list the sentences to rewrite.
business-narrative-builder
Convert a company's business story into five quantitative valuation drivers.
capital-structure-analyst
Computes the optimal debt ratio and designs debt instruments for corporate financing decisions.
relative-valuation-toolkit
Prices firms on multiples, peer regressions, and sum-of-the-parts using a pure-Python engine.
project-investment-analysis
Compute NPV, IRR, MIRR, synergy, and control value for projects and acquisitions.
valuation-playbooks
Provides Damodaran valuation frameworks and concept notes for corporate finance analysis.
dcf-valuation-engine
Computes DCF valuations from value drivers through terminal value to value per share.
cost-of-capital-toolkit
Compute riskfree rates, betas, synthetic ratings, WACC, and optimal capital structure via JSON-driven Python engines.
business-narrative-analyst
Writes a valuation narrative and maps every claim to DCF driver inputs.
narrative-to-numbers
Convert business narratives into defensible DCF driver inputs with auditable story links.
option-valuation-toolkit
Price employee options, distressed equity, and real options with Black-Scholes and binomial models.
company-classification-routing
Classifies companies and routes them to the correct valuation engine and constraint set.
intrinsic-valuation-analyst
Runs DCF valuation from forecast drivers to a value per share with sensitivity and implied-expectations analysis.
valuation-consistency-checks
Validate DCF valuation artifacts for internal contradictions across currency, terminal assumptions, and equity bridges.
payout-policy-analysis
Analyze dividends and buybacks against FCFE to test payout sustainability and management trust.
strategist-voice
Apply analyst house style rules to long-form strategy and forecast reports.
cost-of-capital-analyst
Builds and defends a discount rate from riskfree rate, ERP, beta, cost of debt, and market-value weights.
special-situations-analyst
Values banks, young, distressed, private, and cyclical firms using branch-specific valuation engines.
financial-statement-normalization
Capitalize R&D and leases, then derive FCFF, FCFE, invested capital, and ROIC.
monte-carlo-valuation
Runs Monte Carlo simulations on DCF models to produce value distributions and percentile ranges.
special-situation-models
Values distressed, financial-service, private, cyclical, and young firms that break standard DCF assumptions.
relative-valuation-analyst
Prices companies against peers using multiples, comparable sets, and sector regressions.
company-diagnostician
Classifies companies and compiles valuation routing with engines, overlays, and constraints.
Frequently Asked Questions About K L D'Souza
FAQPage SchemaWhat tasks can I perform with lyndonkl's valuation skills?▼
You can run end-to-end Damodaran-style valuations: classify the company, normalize statements, estimate cost of capital, build DCF and relative-valuation models, price real and employee options, analyze payout policy, and reconcile everything into a verdict report with red-team critique.
Who are these skills designed for?▼
Equity analysts, corporate finance practitioners, and full-stack developers building decision-support systems. Secondary audiences include product managers using prioritization and PRD skills, researchers using GRADE and manuscript-review skills, and writers using readability and slop-detection editors.
How do the valuation-specialist stage briefs work together?▼
Stage briefs chain into a pipeline: financial-data-collector gathers inputs, company-diagnostician routes the firm type, analysts run DCF, relative, option, and special-situation models, then valuation-critic attacks the result and investment-reconciler assembles the final report.
Are lyndonkl's skills free to use?▼
Yes. Every skill in the manifest carries an MIT license, permitting free use, modification, and redistribution. All 132 skills declare cross-platform support for linux, macos, and windows with no stated commercial restrictions.
What prerequisites or dependencies do these skills require?▼
Most skills are self-contained reasoning frameworks needing only financial statements or prose as input. The markdown-to-pdf skill requires pandoc and xelatex installed; model-equivariance-auditor targets PyTorch neural networks; d3-visualization produces D3.js SVG output.