Build, run, and debug macOS apps with shell-first Xcode and Swift workflows. Use when launching apps or diagnosing build, startup, or runtime failures.

Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.

Design App Intents, app entities, and App Shortcuts for iOS system surfaces. Use when exposing app actions or content to Shortcuts, Siri, Spotlight, widgets, or controls.

Use when applying ancient Chinese trading principles (白圭/计然 method). Covers counter-cyclical buying (旱则资舟水则资车), price cycle recognition, inventory rules for perishables, and the four merchant virtues (智勇仁彊).

Use when planning multi-column campaigns against distant targets like the Nanyue conquest. Maps multiple approach routes, assigns forces by type (regular, conscript, naval), sets convergence points, and accepts partial column failure.

Predict structures and binding for one defined complex with Boltz. Use when folding a protein, RNA, DNA, or ligand complex, docking one ligand, predicting an interface, or scoring binding. Not for screening libraries or design.

Predict Tier-1 ADME/ADMET for small molecules with Boltz from bare SMILES — no target, no docking. Use when the user wants solubility, permeability, or lipophilicity/logD for a molecule or list of molecules. Not for ranking molecules against a protein target (use boltz-small-molecule-screen, which already returns ADME free).

Screen existing protein binders with Boltz. Use when ranking a supplied protein, peptide, antibody, nanobody, or binder library against a target. Not for designing new proteins or screening small molecules.

Design new protein binders with Boltz. Use when generating protein, peptide, antibody, nanobody, or custom binder candidates for a target. Not for screening existing proteins or small molecules.

Boltz CLI setup and auth. Use when installing, updating, verifying, or authenticating `boltz-api`, or fixing missing CLI, PATH, sandbox, browser login, or auth errors.

Use when assessing regime stability by distinguishing 土崩 (popular uprising from mass discontent) versus 瓦解 (elite rebellion with military resources). Prioritizes popular sentiment analysis over elite threat management.

Use when planning rapid cavalry raids deep into enemy territory. Based on Huo Qubing's campaigns: select elite riders, travel light (约轻赍), live off enemy resources (取食於敌), strike symbolic targets like 狼居胥山, and return before enemy concentrates.

Use when evaluating military achievements for reward conferral. Systematically compiles kill counts (斩首), captures (捕虏), and territory gained to determine appropriate titles (侯), fief increases, and punishments for failures.

Use when deciding the fate of a defeated general who returns after losing their forces. Convenes advisors, weighs strict versus lenient views, and defers to higher authority rather than unilateral execution.

Use when studying Han-Xiongnu peace diplomacy. Covers the Heqin (和亲) system of marriage alliances, annual silk and grain tribute, border market establishment, and territorial boundary protocols along the Great Wall.

Use when regaining authority over those who wronged you. Demonstrates magnanimity through measured threats, acceptance of contrition, and strategic forgiveness to convert former enemies into loyal supporters.

Use when evaluating whether to wage war against nomadic or mobile enemies. Applies cost-benefit analysis using distance, terrain, force degradation, and the crossbow metaphor (彊弩之极) to recommend diplomacy or engagement.

Use when submitting appeals or petitions to imperial authority on behalf of someone facing punishment. Covers concealing intentions, secret departure, formal petition drafting, direct audience requests, and presenting mitigating arguments.

Use when designing military incentive structures to motivate troops and encourage enemy defections. Establishes tiered rewards by enemy rank (大将 to 千石), defection incentives for surrendering units, and multiplier systems for credible payouts.

Use when a powerful subordinate has shown disloyalty but direct confrontation is too costly. Based on Emperor Wen's handling of Wu Wang, employs symbolic honors, face-saving exits, and indirect acknowledgment of grievances to reduce tensions.