inversion-exercise
Flip core assumptions to reveal hidden constraints and alternative approaches - "what if the opposite were true?"
Flip core assumptions to reveal hidden constraints and alternative approaches - "what if the opposite were true?"
Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales
Routes to 14 structured thinking methodologies (lenses) for systematic analysis. Use this skill when you need to think through problems, apply thinking lenses, reason through decisions, or perform systematic analysis. Auto-selects appropriate lens based on context - 5 Whys for failures, Pre-Mortem for risks, First Principles for assumptions, Systems Thinking for architecture, Four Causes for understanding, Cargo Cult Detection for validation, Golden Mean for calibration.
Track medication schedules, set reminders, and provide basic drug information lookup. Not a substitute for medical advice.
General phonon-workflow skill built around phonopy, independent of force backend. USE WHEN you need to prepare finite-displacement phonon calculations, build force constants, and analyze phonon properties (band structure, DOS, thermal quantities) while obtaining forces from different engines such as VASP, Quantum ESPRESSO, or ML force fields.
Spot patterns appearing in 3+ domains to find universal principles
A standardized CLI wrapper for Uni-Mol molecular ML workflows that handles representation extraction (embeddings), model training (regression/classification), and property prediction with built-in RDKit SMILES validation. USE WHEN you need to generate molecular embeddings, train machine learning models for chemical properties, or run predictions on SMILES datasets (.csv/.smi) using the Uni-Mol framework.
"ZK powered rebalancer agent that finds optimal low-risk yield opportunities across Base, Arbitrum, and Plasma chains."
A command-line tool in AmberTools for preparing small molecules or non-standard residues within GAFF/AMBER-compatible chemical space for molecular mechanics simulations, by automating atom/bond typing, charge generation or import, and force-field–compatible input generation. USE WHEN you are working in AMBER, dealing with molecules not covered by standard force fields, and already have a structure that can be processed (e.g., pdb, mol2, ac, gout). Typical use cases include parameterizing ligands or modified residues (assigning atom/bond types, generating or reading partial charges), converting structures from upstream tools into mol2/prepi formats, and preparing topology-ready inputs for downstream tools such as LEaP. DO NOT USE for standard residues, metal complexes, inorganic systems, or when no valid molecular structure is available (e.g., only SMILES).
A tool and knowledge base for running molecular dynamics (MD) simulations in LAMMPS with the DeePMD-kit plugin. It handles input script preparation, ensemble selection (NVE/NVT/NPT), and job execution via `uv` or offline binaries. USE WHEN you need to set up, write, explain, or execute a LAMMPS molecular dynamics simulation using a DeePMD machine learning potential (e.g., `graph.pb`).
Run reactive molecular dynamics simulations in LAMMPS with the ReaxFF potential, including preparing input scripts (pair_style reaxff + fix qeq/reaxff), mapping LAMMPS atom types to elements via pair_coeff, choosing ensembles (NVE/NVT/NPT), and adding common ReaxFF diagnostics such as species analysis. Use when the user wants LAMMPS+ReaxFF workflows or needs a working, annotated `input.lammps` template.
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
数字人生.skills — 5 个以数字痕迹为证据的人文自我考古工具,用来照见真实的自己。 触发词:遗产清算、社死考古、AI替身、前世、墓志铭、数字人生、考古工具箱、digital life
Structured R&D problem-solving with test-driven verification for designing analog circuits using SpiceSharp and SpiceSharpParser that produces human-readable reports, netlist and tests and maintains a global backlog of active designs.
Manage differential-fuzzer findings: query fixed/unfixed status, list by category, verify findings against the current VM, mark findings as fixed/unfixed, and batch-update categories. Use when working on fuzz findings, checking what's fixed, or triaging new results.
Validate cross-artifact consistency — checks that every spec requirement traces to tasks, plan tech stack matches task file paths, and constitution principles are satisfied across all artifacts. Use when running a consistency check, verifying requirements traceability, detecting conflicts between design docs, or auditing alignment before implementation begins.
"Synthetic dollar protocol with sUSDe staking yields, cooldown mechanics, and cross-chain balances."
Prepare, explain, validate, and run DP-GEN simplify workflows for reducing repeated or redundant DeepMD datasets. Use when the user wants to generate or modify `param.json` and `machine.json`, run `dpgen simplify param.json machine.json`, organize repeated simplify experiments, or inspect simplify outputs.