Generates zodiac poster sets from Feishu Bitable records with automatic HTML rendering and screenshot capture. Use when the user wants to batch generate posters from spreadsheet data, process pending Feishu records, sync generated images back to Feishu, or check how many tasks are pending in the Bitable.
Organizes general comment sections in Adopted Dataset ENSDF files in the canonical sequence: Isotope Discovery, Production, Decay Measurements, Radius, Mass, Theoretical Calculations. Use when adding or reorganizing general comments at the beginning of an Adopted dataset file.
Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monito...
Use this skill when calculating Q-alpha values from measured alpha energies and updating the Q field (cols 65-74) and DQ field (cols 75-76) in ENSDF P records. Uses exact kinematic formula Q = E_alpha * A/(A-4). Applies to single files or chains of alpha-decay datasets.
Use math types in Bestow including Vec2, Vec3, Vec4, Quat, Mat4, Color, Transform2D, Transform3D, AABB3D, and Ray3D. Use when doing vector math, rotations, transformations, color manipulation, or spatial calculations.
Work with Planetary Quantum stacks and endpoints via `quantum-cli`. Use this skill when inspecting endpoints, listing stacks or tasks, validating `.quantum` configuration, deploying or removing stacks, opening remote shells with `exec`, or migrating stacks between endpoints.
Expert-level climate engineering covering carbon capture and storage, direct air capture, solar geoengineering, enhanced weathering, and carbon accounting.
Expert-level astrodynamics covering orbit determination, trajectory optimization, launch vehicle ascent, re-entry dynamics, and numerical methods for space mission analysis.
Generate cloud/compute cost analysis report
Expert-level stellar physics covering stellar structure and evolution, nucleosynthesis, stellar atmospheres, variable stars, binary systems, and stellar populations.
Expert-level radio astronomy covering radio telescopes, interferometry, VLBI, pulsars, spectral line observations, fast radio bursts, and aperture synthesis imaging.
Expert-level planetary science covering solar system formation, planetary interiors, atmospheres, surface processes, astrobiology, and planetary exploration missions.
Expert-level oceanography covering physical, chemical, biological, and geological oceanography, ocean circulation, thermohaline circulation, tides, and ocean-climate interactions.
Expert-level meteorology covering atmospheric dynamics, thermodynamics, synoptic meteorology, mesoscale systems, numerical weather prediction, and climate dynamics.
Expert-level geophysics covering seismic methods, gravity and magnetics, electromagnetic methods, heat flow, Earth structure, and exploration geophysics.
Expert-level exoplanet science covering detection methods, orbital dynamics, planetary atmospheres, habitability, and the search for biosignatures.
Expert-level dark matter physics covering observational evidence, candidate particles, detection methods, structure formation, and alternative gravity theories.
Expert-level cosmology covering the Big Bang, cosmic expansion, dark matter, dark energy, CMB, large-scale structure, and observational cosmology.
Expert-level black hole physics covering formation, spacetime structure, accretion disks, jets, Hawking radiation, gravitational waves from mergers, and observational evidence.
Maya skinning utilities — copy weights, normalize, mirror, prune, and query skin cluster data
Maya polygon primitive creation and basic transform operations
Guide for evaluating models using scenarios specified by the user. This skill should be used when users ask Claude to evaluate a model using a specific scenario.
Detects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Trigger with "detect anomalies", "find outliers", "anomaly detection".
