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Builds an Excel model to estimate a company’s equity value from future cash flows. It calculates financing costs, compares three business scenarios, and shows how changes in growth, margins, and other assumptions affect valuation.
Read values from a Google Sheets spreadsheet by specifying its ID and a cell range or sheet name. Retrieve the data you need for review without making changes to the spreadsheet.
Create or modify Handsontable cell validators, functions that check whether input values are valid. Covers empty values, asynchronous callbacks that return validation results, access to cell settings, validator registration, and pitfalls involving dropdown behavior and corrected values.
Explore and query measurements stored in Axiom MetricsDB. The skill discovers metrics and tags, checks measurement types and units, and builds MPL queries, Axiom’s metrics query language, to retrieve values and aggregate them over a chosen period.
Plan three mobile onboarding screens side by side in iPhone frames: a logo introduction, a screen explaining the app’s value, and a sign-in screen with email, Apple, Google, and a main action button.
This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local FDR values. The q-value of a test measures the proportion of false positives incurred (called the false
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Analyze code for primitive obsession and plan value object extractions around domain concepts, validation, and grouped primitive fields. Use when the user says `/value-objects`, asks for value object refactoring, or runs `/refactor:value-objects`.
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Agent fallback for CEngineServer_SetFakeClientConVarValue (auto-generated, category: vfunc). Locate CEngineServer::SetFakeClientConVarValue in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_SetFakeClientConVarValue, CEngineServer::SetFakeClientConVarValue
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Agent fallback for CEngineServer_GetClientConVarValue (auto-generated, category: vfunc). Locate CEngineServer::GetClientConVarValue in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_GetClientConVarValue, CEngineServer::GetClientConVarValue
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Agent fallback for CEngineServer_ClientCommandKeyValues (auto-generated, category: vfunc). Locate CEngineServer::ClientCommandKeyValues in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_ClientCommandKeyValues, CEngineServer::ClientCommandKeyValues
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Find and identify the CAttributeList_SetOrAddAttributeValueByName function in CS2 server binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate the econ attribute-list workhorse that sets an existing float attribute by name or appends a new one. Resolved via a durable caller anchor: the weapon paint-kit/wear/seed/kill-eater applier function, which is itself located by the literal econ keyvalue-system strings "set item texture prefab" / "set item texture wear" / "set item texture seed". This function backs weaponpaints-style plugins that programmatically set an econ item's paint kit / wear / seed / stickers. Trigger: CAttributeList_SetOrAddAttributeValueByName, SetOrAddAttributeValueByName
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Review ARIA attributes, which describe interface elements to assistive technology, for invalid values and missing ID references. Get specific corrections and guidance for checking that element states and labels are communicated correctly.
Review newly added optional inputs in Remotion changes and convert internal ones into required values that accept null. Update callers and absence checks while preserving compatibility for public APIs that must remain optional.
Design or improve what you sell by reviewing customer value, deliverables, bonuses, guarantees, deadlines, naming, and payment terms. Identify weak parts of a service, course, or coaching offer and draft specific changes to test.
Assess whether bonds are expensive, cheap, or fairly priced by comparing yields with government rates and credit risk benchmarks. Combine spread breakdowns, historical context, and interest rate scenarios into tables and a recommendation.
Analyze convertible bonds in China's A-share market through bond value, stock conversion value, and option value. Review conversion-price resets and redemption clauses, then compare candidates using low-price, low-premium screening and periodic portfolio rotation frameworks.
Turn existing product value propositions into clear messages for marketing, sales, and customer onboarding. Each statement connects a specific audience’s needs with the benefits, desired outcomes, and product features that support them.
Guide secret synchronization between Infisical and a local encrypted vault, a store for sensitive values such as API keys. Covers authentication, reading and updating secrets, change tracking, and troubleshooting without exposing values in logs.
Guides experiments that inspect and modify internal values in PyTorch models to study their effects on predictions. Covers local analysis and remote experiments through NDIF for models too large for local GPUs.
Review how close relationships influence your habits and outlook, then clarify the values you want in friends or partners. The skill guides a relationship inventory and helps identify boundaries or steps toward joining new communities.
Build Excel spreadsheets with merged titles and headers using openpyxl, a Python library for spreadsheet files. Follow a sequence for entering values, merging cells, and applying formatting, with guidance for updating existing merged ranges and checking saved results.
Design metrics that measure whether a workflow achieved its intended outcome using recorded session evidence. Choose built-in checks or custom JavaScript, retain suitable Bash evaluators, and define tests that distinguish success, failure, and missing evidence.
Reprice swap transaction legs under ASC 845 (Nonmonetary Transactions) to ensure clearing accounts net to zero. Use this skill whenever the user wants to: reprice swaps, fix clearing account residuals, apply equal-value exchange to swap legs, run setBatchUseCounterpartyFiatValue, zero out a clearing account, apply ASC 845, fix swap pricing mismatches, ensure no gain/loss on swaps, or close a month where a swaps/trade clearing account has a residual balance. Also trigger when the user mentions "counterparty fiat value", "swap repricing", "clearing account net to zero", or "equal value exchange".
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Controls error rates across thousands of simultaneous tests in genomics discovery using false-discovery-rate methods (Benjamini-Hochberg 1995; Benjamini-Yekutieli 2001 for arbitrary dependence; Storey q-value with pi0 estimation; local FDR; independent filtering Bourgon 2010; covariate-weighted FDR via IHW Ignatiadis 2016), plus family-wise error control (Bonferroni, Holm) and the GWAS genome-wide threshold. Covers the FDR-versus-FWER choice as the discovery-versus-confirmatory distinction, the dependence assumptions behind BH (PRDS) versus BY, pi0 estimation, the independent-filtering and false-coverage-rate traps, and reproducibility ranking via IDR (Li 2011). Use when correcting p-values from genome-wide tests, choosing between BH/BY/q-value/Bonferroni, setting an FDR threshold, applying IHW or independent filtering, or interpreting q-values. For confirmatory trials with few pre-specified endpoints (closed testing, graphical/gatekeeping), see clinical-biostatistics/multiplicity-graphical.
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