{ "name": "Wintermute", "description": "A kernel-backed AI agent for scientific and engineering compute. Wintermute pairs a conversational agent loop with ~80 tools backed by the forKernels stack — high-performance numerical libraries written in Zig and Fortran spanning linear algebra, signal processing, computer vision, graph analytics, machine learning, state estimation, optimization, and computational geometry.", "url": "https://wintermute.coach/a2a", "documentationUrl": "https://wintermute.coach/docs", "version": "0.1.0", "provider": { "organization": "The Fantastic Planet", "url": "https://thefantasticplanet.com" }, "capabilities": { "streaming": true, "pushNotifications": false, "extendedAgentCard": false }, "defaultInputModes": [ "text/plain", "application/json", "image/png", "image/jpeg" ], "defaultOutputModes": [ "text/plain", "application/json" ], "securitySchemes": { "google-oauth": { "type": "oauth2", "description": "Google sign-in. Identity is linked to a Cloud Marketplace entitlement before access is granted.", "flows": { "authorizationCode": { "authorizationUrl": "https://accounts.google.com/o/oauth2/v2/auth", "tokenUrl": "https://oauth2.googleapis.com/token", "scopes": { "openid": "OpenID Connect identity", "email": "User email, linked to the marketplace account" } } } } }, "security": [ { "google-oauth": ["openid", "email"] } ], "skills": [ { "id": "software-engineering", "name": "Software engineering", "description": "Read, search, edit, and write files; run shell commands; navigate codebases. Native filesystem and process tools.", "tags": ["code", "filesystem", "shell", "developer-tools"], "examples": [ "Find every call site of `getRelevantDefinitions` and refactor it to take a token budget.", "Run the test suite and summarize the failures." ] }, { "id": "web-research", "name": "Web research & retrieval", "description": "Search the web, fetch and parse pages, and drive a browser for tasks that need live information or interaction.", "tags": ["web-search", "http", "browser", "retrieval"], "examples": [ "Search for the latest A2A protocol spec and summarize the Agent Card fields.", "Fetch this URL and extract the pricing table." ] }, { "id": "graph-analytics", "name": "Graph analytics", "description": "Traversal, shortest paths, centrality, spectral partitioning, and connectivity on large graphs. Backed by forGraph.", "tags": ["graph", "shortest-path", "centrality", "spectral", "pagerank"], "examples": [ "Compute betweenness centrality for this network and rank the top 10 nodes.", "Find the shortest path and any articulation points in this graph." ] }, { "id": "machine-learning", "name": "Classical machine learning", "description": "Train and evaluate supervised and unsupervised models — regression, SVM, random forests, GBM, k-means, PCA, GP — with cross-validation. Backed by forML.", "tags": ["machine-learning", "classification", "regression", "clustering", "pca"], "examples": [ "Train a gradient-boosted classifier on this dataset and report R² with 5-fold CV.", "Cluster these vectors with k-means and project to 2D via PCA." ] }, { "id": "numerical-computing", "name": "Numerical & linear algebra", "description": "Dense and sparse linear algebra, integration, interpolation, special functions, and ODE solvers. Backed by forMath.", "tags": ["linear-algebra", "lapack", "ode", "quadrature", "special-functions"], "examples": [ "Solve this linear system and report the condition number.", "Integrate this stiff ODE over [0, 10] and plot the trajectory." ] }, { "id": "signal-spectral", "name": "Signal & spectral analysis", "description": "FFT/RFFT, Hilbert/analytic signal, wavelets, STFT, Goertzel, and DSP filtering. Backed by forFFT and forDSP.", "tags": ["fft", "dsp", "spectral", "wavelet", "hilbert"], "examples": [ "Compute the spectrogram of this audio and find the dominant frequencies.", "Apply a Hilbert transform and extract the instantaneous phase." ] }, { "id": "computer-vision", "name": "Computer vision", "description": "Image filtering, feature detection (Harris/FAST/BRIEF), contours, homography (DLT/RANSAC), and face enrollment/identification. Backed by forCV.", "tags": ["vision", "features", "homography", "face-recognition", "image-processing"], "examples": [ "Detect corners in this image and match features against a reference.", "Estimate the homography between these two views with RANSAC." ] }, { "id": "state-estimation", "name": "State estimation & navigation", "description": "Kalman/EKF/UKF filtering, RTS smoothing, particle filtering, and orbital mechanics (Kepler, Lambert, Hohmann, propagation). Backed by forApollo.", "tags": ["kalman-filter", "ekf", "ukf", "navigation", "orbital-mechanics"], "examples": [ "Fuse these noisy IMU and GPS measurements with an EKF.", "Propagate this orbit and compute the transfer to a target altitude." ] }, { "id": "computational-geometry", "name": "Computational geometry", "description": "Convex hulls, triangulation, meshing, Voronoi diagrams, and shape operations across 2D/3D and higher dimensions. Backed by forGeo.", "tags": ["geometry", "convex-hull", "triangulation", "voronoi", "meshing"], "examples": [ "Compute the convex hull and Delaunay triangulation of these points.", "Generate a quad mesh for this polygon." ] }, { "id": "optimization", "name": "Optimization", "description": "First-order optimizers (SGD/Adam/AdamW/PID), learning-rate schedules, and gradient clipping for training and tuning loops. Backed by forOpt.", "tags": ["optimization", "adam", "scheduling", "gradient"], "examples": [ "Tune these parameters with AdamW and a cosine schedule.", "Set up a PID controller for this setpoint." ] }, { "id": "time-series-bayes", "name": "Time series & Bayesian inference", "description": "Temporal modeling, forecasting, and Bayesian classification/inference over sequential and probabilistic data. Backed by forTime and forBayes.", "tags": ["time-series", "forecasting", "bayesian", "inference"], "examples": [ "Forecast the next 30 points of this series and give a confidence band.", "Classify these observations with a naive Bayes model." ] }, { "id": "audio-synthesis", "name": "Audio synthesis & speech", "description": "Oscillator/filter/envelope synthesis, voice synthesis, and text-to-speech. Backed by forSynth and forDSP.", "tags": ["audio", "synthesis", "tts", "voice"], "examples": [ "Synthesize a 440 Hz tone with an ADSR envelope.", "Read this paragraph aloud as speech audio." ] }, { "id": "physics-simulation", "name": "Physics simulation", "description": "Rigid-body dynamics, collision detection, and robotics simulation primitives. Backed by forSim.", "tags": ["physics", "simulation", "collision", "robotics"], "examples": [ "Simulate this collision scenario and report contact forces.", "Step this rigid-body system forward 100 frames." ] }, { "id": "ternary-logic", "name": "Ternary logic & decisioning", "description": "Balanced-ternary (trit) logic gates, safety gates, and consensus/fuzzy/majority voting for decision systems. Backed by forTernary.", "tags": ["ternary", "logic", "voting", "decision"], "examples": [ "Evaluate this trit logic expression.", "Run majority voting across these three classifier outputs." ] }, { "id": "security-analysis", "name": "Security analysis", "description": "Anomaly detection and risk scoring over events and signals. Backed by forSec.", "tags": ["security", "anomaly-detection", "risk-scoring"], "examples": [ "Score these access events for anomalies.", "Flag the highest-risk entries in this log." ] }, { "id": "data-io", "name": "Data I/O & ingestion", "description": "High-throughput binary/CSV/JSON reading and writing, memory-mapped I/O, and dataset ingestion. Backed by forIO.", "tags": ["data", "csv", "json", "ingestion", "mmap"], "examples": [ "Ingest this CSV and report column statistics.", "Stream-read this large binary file and summarize it." ] }, { "id": "3d-design", "name": "3D & CAD design", "description": "Parametric CAD compute and Blender scene control for generating and manipulating 3D models.", "tags": ["cad", "3d", "blender", "design"], "examples": [ "Generate a parametric bracket with these dimensions.", "Set up a Blender scene with this mesh and a three-point light rig." ] }, { "id": "agent-orchestration", "name": "Agent orchestration", "description": "Manage sub-agents and tool fleets, consult alternate models, schedule work, and load skills — for multi-step, multi-agent tasks. Backed by forAgent.", "tags": ["agents", "orchestration", "multi-agent", "scheduling"], "examples": [ "Spin up three sub-agents to research these topics in parallel and synthesize.", "Schedule this analysis to run every hour and alert me on anomalies." ] } ], "metadata": { "draft": true, "generatedFrom": "src/agent/tool_lut.zig (82-tool registry) + WIRING_REPORT.md (wiring-depth audit, 2026-06-03)", "note": "Skills are grounded in tools that link real Zig/Fortran kernels. neuro_compute is intentionally excluded pending the forNeuro orchestrator canon fix (see WIRING_REPORT.md). Replace REPLACE_WITH_CLOUD_RUN_URL before validation." } }