tauri-app-planning
Comprehensive project planning, requirements analysis, and architectural orchestration for Tauri 2.0 applications.
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Updated 10-28 00:17
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Comprehensive project planning, requirements analysis, and architectural orchestration for Tauri 2.0 applications.
Guidance for Tauri v2 architecture concepts, process model, and IPC isolation patterns.
Trigger: security, anti-cheat, exploit, secure events, validate client data, server authority, distance check, rate limit, review server code. Harden FiveM net…
Load when no subagents are available and one agent must plan, draft, critique, research, and capture memory by switching stances.
Agent-native CLI for Exa web search and content retrieval workflows.
Company tear sheet / one-pager via Longbridge Securities — generates a high-density 1–2 page company snapshot: business overview, key financials (revenue / net…
Multi-asset correlation and cointegration analysis via Longbridge Securities — computes Pearson / Spearman return correlation matrix for 2–10 symbols, rolling…
Trade execution modelling framework (backtesting analysis only) via Longbridge — covers slippage models (linear / square-root market impact), VWAP/TWAP…
Institutional research and analyst ratings — buy/hold/sell distribution, consensus price target, EPS/revenue forecasts, and rating change history. ESG and…
SEC 13F fund-manager–centric view via Longbridge — top-50 active institutional investors by AUM, a specific manager's full portfolio snapshot (by CIK), and…
On-chain data analysis framework — covers active addresses, whale behaviour, TVL (total value locked), DEX liquidity, and on-chain valuation metrics: MVRV…
Options P&L analysis via Longbridge — payoff diagrams, breakeven points, max profit/loss, and Greeks sensitivity (Delta/Gamma/Theta/Vega) for single-leg and…
Options strategy framework via Longbridge — covered call, protective put, straddle, strangle, bull spread, bear spread selection and comparison based on market…
Sports metadata via TheSportsDB free API (key=3). Team logos and badges, player photos, stadium info, league info, and biographical data across 100+ leagues.…
Expert RabbitMQ administrator and developer specializing in message broker architecture, exchange patterns, clustering, high availability, and production…
WebAssembly runtime skill using wasmtime. Use when running WASM modules with wasmtime CLI, working with WASI preview2, using the component model, embedding…
Build targeted prospect lists by analyzing LinkedIn profiles, extracting job titles, companies, locations, and recent activity. Identifies decision-makers,…
Deprecated alias for create-yaml-tests. Renamed to create-yaml-tests; this entry only redirects for backward compatibility. Use create-yaml-tests to create,…
Expert patterns for CharacterBody2D including platformer movement (coyote time, jump buffering, variable jump height), top-down movement (8-way, tank controls), collision handling, one-way platforms, and state machines. Use for player characters, NPCs, or enemies. Trigger keywords: CharacterBody2D, move_and_slide, is_on_floor, coyote_time, jump_buffer, velocity, get_slide_collision, one_way_platforms, state_machine.
WeChat Pay medical insurance payment (Mobile Medical Insurance Payment 2.0) integration solution, covering the full chain of mixed medical insurance and self-pay ordering, order query, medical insurance refund notification, and medical insurance payment callback, providing five major capabilities: selection, sample code, business quick reference, quality assessment, and troubleshooting. Use when user mentions "medical insurance payment", "Mobile Medical Insurance Payment 2.0", "medical insurance and self-pay mixed", "medical insurance electronic certificate", "medical insurance mixed payment",…
Create comprehensive API reference documentation with OpenAPI/Swagger specs, REST endpoints, authentication, examples, and SDKs. Use when documenting REST…
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or…
Optimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and Hyperopt
Conduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testing