592 skills · sorted by relevance
Build a balance-sheet account schedule showing how the opening balance changes into the closing balance. Link each movement to general ledger records or supporting documents, check the arithmetic, and report any unexplained difference for close or audit work.
Run a portfolio review for a client or household — performance pulled from Orion, allocation drift analysis vs. IPS or model portfolio, model-portfolio mapping, rebalance preparation with tax-aware rebalance opportunities to consider, and a rebalance rationale memo for the compliance file. Triggers on "portfolio review", "/portfolio-rebalance-review", "drift analysis", "rebalance [client]", "how is [client]'s portfolio positioned", "rebalance rationale", or "map [client] to a model".
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Analyzes game balance data files, formulas, and configuration to identify outliers, broken progressions, degenerate strategies, and economy imbalances. Use after modifying any balance-related data or design. Use when user says 'balance report', 'check game balance', 'run a balance check'.
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Analyzes game balance data files, formulas, and configuration to identify outliers, broken progressions, degenerate strategies, and economy imbalances. Use after modifying any balance-related data or design. Use when user says 'balance report', 'check game balance', 'run a balance check'.
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Compare general ledger balances, the main accounting records, with detailed ledgers, bank statements, or related company balances. Categorize differences, identify items needing corrections or investigation, and track unresolved items by age for follow-up and review.
Design and deploy a Google Cloud global external Application Load Balancer with caching and web attack protection. Matches settings to workload types, discovers existing backends, and generates Terraform or gcloud deployment scripts.
Review game data and formulas for combat, economy, progression, or loot. Compare values with documented targets, identify dominant strategies and broken resource loops, and produce prioritized adjustment recommendations while clearly marking areas that lack enough data.
Use when auditing or recalibrating game balance: build a source-driven Monte Carlo balance lab (Rust + rayon) that extracts live game data, simulates human playstyles (AFK→pro), emits win-rate/economy verdicts with confidence intervals, and bruteforce-tunes parameters. Trigger on unfair levels, unreachable shops, farm exploits, interest-curve cliffs, post-content recalibration, or CI balance JSON diffs. Keywords: balance lab, Monte Carlo, win rate, difficulty curve, economy career, playstyle simulation, Resource extraction, GDScript parser, bruteforce tuning.
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Use when auditing or recalibrating game balance: build a source-driven Monte Carlo balance lab (Rust + rayon) that extracts live game data, simulates human playstyles (AFK→pro), emits win-rate/economy verdicts with confidence intervals, and bruteforce-tunes parameters. Trigger on unfair levels, unreachable shops, farm exploits, interest-curve cliffs, post-content recalibration, or CI balance JSON diffs. Keywords: balance lab, Monte Carlo, win rate, difficulty curve, economy career, playstyle simulation, Resource extraction, GDScript parser, bruteforce tuning.
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Portfolio rebalancing analysis for A-share wealth management portfolios. Analyzes allocation drift, generates rebalancing trades, and optimizes for tax efficiency. Adapted from the original portfolio-rebalance skill for Chinese portfolios. Triggers on "A股组合再平衡", "调仓", "rebalance China", "portfolio rebalance A-share", "rebalance portfolio", or "adjust allocation [client]".
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The Balanced Coupling model for software design. Use when: designing modular architectures, evaluating coupling between components, reviewing code modularity, deciding whether to split or merge modules/services, assessing integration patterns, classifying coupling as balanced or unbalanced, applying DDD strategic and tactical patterns, reasoning about cohesion vs coupling trade-offs, identifying distributed monolith risks, or explaining why a system is hard to change. Provides the three-dimensional framework (integration strength, distance, volatility) and the balance rule for making coupling decisions.
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Use when tuning the numbers in a game — economy curves, progression rates, difficulty pacing, drop tables, win/loss odds, time-to-X targets, and currency velocities. Triggers on "balance pass", "tune the economy", "progression curve", "difficulty curve", "drop rate", "XP curve", "TTK", "time-to-content", "balance the economy", "spreadsheet model", "economy sim", or a system spec from game-systems-designer with `TBD` placeholders. Produces an economy spreadsheet, balance pass plan, sim outputs, and per-system balance tables. Stops at the numbers — does not change system rules or pricing. For systems design see game-systems-designer; for store catalog see iap-manager.
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Prevent token balances and values from being scaled incorrectly across EVM blockchains. Look up each token's decimal places at runtime, cache them by chain and address, and use precise arithmetic with consistent units.
Connect an AI agent to over 100 cryptocurrency exchanges and prediction markets through a local MCP server. Fetch prices, order books and account balances, or place and cancel orders when trading is explicitly enabled.
Retrieves bank balances and transaction history through Plaid, a bank account connection service. It reports dates, merchants, and amounts, distinguishes pending from posted transactions, and summarizes spending by category or merchant on request.
Check spreadsheet formulas for errors, broken references, inconsistent calculations, and unit mismatches. Review a selected range, one sheet, or an entire financial model, then receive findings ranked by severity with suggested fixes.
Complete an existing financial model template by entering historical data and forecast assumptions, then linking the income statement, balance sheet, and cash flow statement with formulas. Check statement balances, cash consistency, and scenario behavior as each section is completed.
Trigger on-chain data collection (a "Commit") in Tres Finance for wallets that have already been onboarded. Use this skill whenever the user wants to collect data, pull balances, sync wallets, refresh on-chain data, run a commit, trigger a commit, or "collect" anything in Tres. This is the second step of the Tres onboarding flow — it sits between wallet upload (tres-wallets-upload) and balance validation (tres-asset-balance-validation). Always trigger this skill for any request that mentions "commit", "collect", "data collection", "pull data", "fetch on-chain data", "sync wallets", "refresh balances", or anytime the user just finished uploading wallets and is ready to bring in their on-chain data.
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Validate wallet balances in TRES Finance against DeBank and generate a discrepancy report. Use this skill whenever the user asks to validate, verify, cross-check, or audit their TRES balances against on-chain data or DeBank. Also trigger when the user asks if their balances are correct or wants to see discrepancies. Only EVM-compatible wallets are supported.
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Converts bank, credit card and brokerage statement PDFs, invoices and vendor price lists into clean CSV or Excel, then proves the extraction is complete and correct - opening balance plus transactions equals closing balance, every running balance chains, page totals, row counts and summary totals all tie, signs and decimal separators are consistent. Handles digital PDFs with word-position column bands and detects scanned PDFs that need OCR first. Use it whenever the user wants to convert a bank statement PDF to Excel or CSV, extract transactions from a statement, turn a PDF table into a spreadsheet, import statements into QuickBooks or Xero, or says the converted statement does not balance, rows are missing, or signs look wrong, even if they do not ask for a proof. Never reads amounts off the page image when a text layer exists, and never fixes a failed tie-out by guessing.
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Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancers. - Actuating deployments via Infrastructure Manager or bash scripts, including IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).
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Build an Excel workbook linking the income statement, balance sheet, and cash flow statement. Populate historical figures, create formula-based forecasts, compare scenarios, and check that balances and cash totals agree across all three statements.
Coordinate tasks across multiple AI agents by tracking workloads and capacity. Redistribute queued work to available agents, adjust priorities and deadlines, and monitor resource use to identify uneven loads and scheduling bottlenecks.
Manage Stripe customers, products, invoices, and recurring subscriptions through its official MCP server, a connection for agent tools. Handle billing changes, payment links, duplicate-charge refunds, disputes, balances, payouts, and processing-fee reconciliation using reviewed operations.