Solizardking
- 658 skills
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- 2 weeks ago last updated
- ▌ Huashu Design 2 · solizardking bundle花叔Design——用HTML做高保真原型、幻灯片、动画、可视化与专家评审。任何新设计100%先出三个方向初稿给用户选(指定风格/品牌也不豁免),选定后才执行。触发词:做原型、PPT、幻灯片、动画、设计风格、评审、做个HTML页面、UI mockup、导出MP4/GIF、做个好看的。生产级Web App/需后端的系统不适用。
- ▌ Cheshire Noxa 2 · solizardkingNOXA Fun/DEX collab for Cheshire Terminal — launch feed, DEX registry, QuoterV2 quotes, EVM RPC. One-shot npm package @x402solana/cheshire-noxa.
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- ▌ Skills Store 2 · solizardking bundleCheshire Skills Store index — curated Agent Skills packages for Cheshire Terminal (API, PostHog, Google Agent Registry, Skill Hub onchain, Stripe, Solana common errors, NOXA) plus the community skills collection. Use when installing store skills, browsing the store catalog, or wiring cheshireterminal.ai/skills-store.
- ▌ Cheshire Terminal 2 · solizardking bundleOperate and extend Cheshire Terminal, the cheshireterminal.ai voice-controlled Solana terminal powered by $CLAWD. Use when working on voice terminal flows, token launch commands, LiveKit voice integration, Jupiter swap surfaces, burn/staking flows, or any task that mentions Cheshire Terminal, cheshireterminal.ai, $CLAWD terminal, or Clawd voice commands.
- ▌ Review Animations 2 · solizardking bundleReviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.
- ▌ Solana Clawd Agents 2 · solizardking bundleUse the imported Solana Clawd Agents hub catalog to browse, validate, build, deploy, mint, stake, and integrate production-ready Solana agent definitions, including x402 paid-agent APIs, MCP catalog endpoints, Cloudflare Worker API, Metaplex Core minting, and agent JSON schema workflows.
- ▌ Clawd Skills Installer 2 · solizardking bundleInstall and make Clawd, Cheshire Terminal, Solizardking, Vercel, and eve agent skills available to local coding agents. Use when a user asks to add all skills, install this repo with npx github, install into ~/.agents/skills, ~/.codex/skills, ~/.claude/skills, or an eve project's agent/skills directory.
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- ▌ Tao Train Action Recognition 2 · solizardking bundleAction recognition from video sequences. Supports RGB, optical flow, and joint (multi-stream) input types for classifying temporal actions in video clips. Use when training, evaluating, exporting, or running inference on a TAO action-recognition model. Trigger phrases include "train action recognition", "video action classification", "RGB + optical flow action model", "TAO ActionRecognition".
- ▌ Tao Train Optical Inspection 2 · solizardking bundleOptical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturing defects, anomalies, or quality issues. Use when training, evaluating, exporting, or running inference for a TAO Optical Inspection model on AOI / quality-control data. Trigger phrases include "train optical inspection", "AOI defect detection", "Siamese defect classifier", "PCB / manufacturing inspection".
- ▌ Nemo Mbridge Perf Cuda Graphs 2 · solizardking bundleValidate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.
- ▌ Tao Train Mask Grounding Dino 2 · solizardking bundleMask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head for open-set segmentation guided by text prompts. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Mask-Grounding-DINO model. Trigger phrases include "train Mask Grounding DINO", "open-vocabulary segmentation", "text-prompted instance segmentation", "grounded mask DETR".
- ▌ Tao Train Pose Classification 2 · solizardking bundlePose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). Classifies skeleton sequences into action categories from pose-keypoint data. Use when training, evaluating, exporting, or running inference for a TAO pose-classification model. Trigger phrases include "train pose classification", "skeleton action recognition", "ST-GCN", "keypoint sequence classifier".
- ▌ Agent Platform Inference 2 · solizardking bundleConnects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when you need to generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.
- ▌ Cupynumeric Parallel Data Load 2 · solizardking bundleLoad a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across files. Prefer cupynumeric.load or legate.io.hdf5.from_file when they apply.
- ▌ Deepstream Import Vision Model 2 · solizardking bundleUse this skill to bring any vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox parser, multi-stream benchmark, and PDF report. Object detection models only.
- ▌ Tao Finetune Huggingface Model 2 · solizardking bundleFine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pipeline, smoke-test a HuggingFace model locally before scale-up, push a fine-tuned model to the HF Hub with a model card, or emit a self-contained rerun skill for an existing HuggingFace finetune. Supports image classification, object detection, semantic / instance / panoptic segmentation, depth estimation, image-text-to-text VLM (SFT / LoRA), and LLM SFT / DPO / GRPO. Six-step workflow: inspect and qualify, hardware and NGC image, research, generate and smoke, train + eval + infer, push and emit rerun skill.
- ▌ Tao Train Image Classification 2 · solizardking bundlePyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.) with distillation and quantization for deployment. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO image-classification (PyT) model. Trigger phrases include "train image classifier", "TAO classification", "ResNet/EfficientNet/FAN backbone classifier", "classification-pyt".
- ▌ Vss Generate Video Calibration 2 · solizardking bundleUse to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics.
- ▌ Google Cloud Waf Security 2 · solizardking bundleGenerates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.
- ▌ Cupynumeric Migration Readiness 2 · solizardking bundlePre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
- ▌ Nemo Automodel Model Onboarding 2 · solizardking bundleGuide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.
- ▌ Cuopt Numerical Optimization API 2 · solizardking bundleLP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
- ▌ Nemo Mbridge Mlm Bridge Training 2 · solizardking bundleRun Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.
- ▌ Omniverse Usd Performance Tuning 2 · solizardking bundleTop-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners.
- ▌ Tao Train Fast Foundation Stereo 2 · solizardking bundleReal-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant of FoundationStereo. Predicts disparity maps from stereo image pairs with ~10× lower latency than full FoundationStereo. Use when training, evaluating, exporting, or running inference for a TAO FastFoundationStereo (FFS) model. Trigger phrases include "train fast stereo", "real-time stereo disparity", "FastFoundationStereo", "distilled stereo depth".
- ▌ Vss Deploy Detection Tracking 2d 2 · solizardking bundleUse this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM, embedding, or analytics — use the matching vss-* skill.
- ▌ Vss Deploy Detection Tracking 3d 2 · solizardking bundleDeploy and operate the RTVI-CV-3D microservice as MV3DT (`MODE=mv3dt`): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. Supports the bundled sample dataset, custom video files, and RTSP streams, and chains to `vss-generate-video-calibration` when calibration is missing. Use `vss-deploy-profile` for the full warehouse blueprint and `vss-deploy-detection-tracking-2d` for single-camera 2D detection.
- ▌ Iam Recommendations Fetcher 2 · solizardking bundleFetches raw IAM recommendations and associated security insights from Google Cloud for a specified target scope (Organization, Folder, or Project). Use when you need to retrieve security recommendations before analyzing or applying them. Don't use for applying/acting on recommendations (use the recommendation applier skill) or for general allow policy querying (use the allow policy viewer skill).
- ▌ Cuopt Multi Objective Exploration 2 · solizardking bundleTrace and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
- ▌ Agent Platform Eval Flywheel 2 · solizardking bundleMeasures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.
- ▌ Google Agents CLI Onboarding 2 · solizardking bundleOnboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle.
- ▌ Google Cloud Waf Reliability 2 · solizardking bundleGenerates reliability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use this skill to evaluate a workload, identify reliability requirements, and provide actionable recommendations for build, deploy, and manage the workload reliably in Google Cloud.
- ▌ Agent Platform Model Registry 2 · solizardking bundleAgent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
- ▌ Agent Platform Prompt Management 2 · solizardking bundleManages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.
- ▌ Agent Platform Tuning Management 2 · solizardking bundleManages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).
- ▌ Agent Platform Endpoint Management 2 · solizardking bundleManages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for running model evaluations.
- ▌ Google Cloud Waf Cost Optimization 2 · solizardking bundleGenerates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for build, deploy, and manage the workload cost-efficiently in Google Cloud.
- ▌ Google Analytics Data API Basics 2 · solizardking bundleManages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized analytics reports, query metrics (like activeUsers, screenPageViews) and dimensions (like city, date), check metrics and dimensions compatibility, or verify API enablement.
- ▌ Google Analytics Admin API Basics 2 · solizardking bundleManages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.
- ▌ Google Cloud Recipe Foundation Builder 2 · solizardking bundleDeploys a baseline landing zone foundation for a Google Cloud Organization, establishing security guardrails using Organization Policies, resource hierarchy folders and projects, billing association, and centralized logging and monitoring. Deploys Google Cloud's recommended security controls and architecture. Use when setting up a new Google Cloud Organization or establishing a secure, enterprise-grade landing zone foundation. Don't use for individual project onboarding (use google-cloud-recipe-onboarding or product-specific skills instead).
- ▌ Google Mobile Ads Banner 2 · solizardking bundleProvides instructions to implement, integrate, or configure Google Mobile Ads (GMA) banner ads in Android and iOS mobile applications. Use when the task involves setting up banner ads in a mobile application.
- ▌ Detection Engineering Coverage Evaluation 2 · solizardking bundleAutomates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, and generating new YARA-L 2.0 rules to close coverage gaps. Don't use when asked to perform threat hunting actions, and SOC investigative actions.
- ▌ Datalineage Bigquery Asset Impact Analysis 2 · solizardking bundleAnalyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don't use for: - General BigQuery querying or data analysis (use BigQuery-related tools instead). - Non-BigQuery assets (e.g., Cloud Storage files) unless they are part of the BigQuery lineage. - Creating or modifying lineage links directly.
- ▌ Data Manager API Event Ingestion 2 · solizardking bundleGuides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Google Analytics web or app events, or any other event ingestion use case supported by the Data Manager API. Don't use for uploading audience members (use the data-manager-api-audience-ingestion skill).
- ▌ Data Manager API Audience Ingestion 2 · solizardking bundleGuides developers through uploading audience members to Google products using the Data Manager API /v1/audienceMembers/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload audience members for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).
- ▌ Cheshire API 2 · solizardking bundleCall Cheshire Terminal REST, MCP, discovery, and developer API surfaces for Solana agents, arena rooms, Upstash boxes, trading health, and OpenAPI. Use when integrating cheshireterminal.ai, /mcp, /.well-known/agent-card.json, ct_sk_ API keys, arena coordination, box handoff, or Apigee/zero-service health probes.
- ▌ Pump Solana Dev 2 · solizardking bundleSolana Development — Web3.js, Anchor, SPL Tokens & On-Chain Patterns
- ▌ Vulcan Onboarding 2 · solizardking bundleFirst-run Vulcan setup for paper trading, wallet, registration, collateral, MCP skills, and live readiness.
- ▌ Vulcan Quickstart 2 · solizardking bundleFive-minute Vulcan quickstart for install, health check, first market read, and first paper trade.
- ▌ Vulcan Ta Strategy 2 · solizardking bundleTechnical-analysis-driven Phoenix strategy runner using declarative rules and Vulcan strategy ledgers.
- ▌ Gcloud 2 · solizardking bundleInteracts with Google Cloud services using the gcloud CLI safely and efficiently. Covers command validation, data reduction, safety guardrails with a denylist, and workflows for discovery and investigation. You MUST read this skill before invoking any gcloud command. Use when managing cloud resources, querying configurations, or troubleshooting issues via gcloud. Don't use when writing or debugging Google Cloud client library code or raw REST/gRPC API interactions.
- ▌ Aiq Research 2 · solizardking bundleUse when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
- ▌ Vulcan Grid Trading 2 · solizardking bundleGrid trading with layered limit orders on Phoenix perpetuals. Use for grid setup, monitoring, pausing/stopping, and live/paper grid strategy safety.
- ▌ Vulcan Market Intel 2 · solizardking bundlePhoenix market data, tickers, orderbooks, candles, funding, spreads, liquidity, and pre-trade market context.
- ▌ Cuopt Install 2 · solizardking bundleInstall cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.
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- ▌ Solana Common Errors 2 · solizardking bundleDiagnose and fix common Solana development errors — GLIBC mismatches, Anchor version conflicts, cargo build-sbf / platform-tools failures, LiteSVM issues, edition2024 crate pins, RPC airdrops, and Anchor 0.29→0.32 migrations. Use when builds fail, Anchor CLI won't install, or CI breaks on Debian/Ubuntu.
- ▌ Gke Cost 2 · solizardking bundleOptimizes GKE costs, rightsizes workloads, and configures Spot VMs and CUDs. Use when optimizing GKE costs, rightsizing GKE workloads, or configuring GKE Spot VMs. Don't use for general compute class provisioning or GPU Selection (use gke-compute-classes instead).
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- ▌ Deepstream Dev 2 · solizardking bundleNVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.
- ▌ Tao Run Automl 2 · solizardking bundleRun AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm selection (bayesian, hyperband, asha, bohb, llm, hybrid, autoresearch), WandB experiment tracking, job execution on any TAO SDK platform, result interpretation, and per-rec custom evaluation hooks. Use when the user mentions TAO AutoML, hyperparameter optimization, HPO, automl, automl_settings, AutoMLRunner, tao_automl, bayesian search, hyperband, ASHA, LLM-guided search, autoresearch, or wants to tune training hyperparameters for any TAO network. Platform-agnostic — runs on any SDK (Brev, SLURM, Kubernetes, Docker).
- ▌ Tao Train Dino 2 · solizardking bundleDINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".
- ▌ Tao Train Reid 2 · solizardking bundlePerson re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person re-identification model. Trigger phrases include "train ReID", "person re-identification", "cross-camera person matching", "ReID embeddings", "person re-id".
- ▌ Vulcan Error Recovery 2 · solizardking bundleError category routing and recovery for Vulcan/Phoenix perps. Use on failed CLI/MCP calls, tx failures, auth/config/API/network/rate-limit errors, and strategy recovery.
- ▌ Vulcan Twap Execution 2 · solizardking bundleTWAP strategy execution on Phoenix perps using Vulcan's first-class runner, tick logs, ledgers, status/monitor/finalize controls.
- ▌ Nemotron Speech 2 · solizardking bundleRoutes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.
- ▌ Tao Run On Brev 2 · solizardking bundleBrev managed GPU instances with Docker support. Use when running TAO training, evaluation, or inference on Brev GPU instances, managing Brev deployments, or dispatching TAO jobs through the Brev CLI. Trigger phrases include "run on Brev", "Brev GPU instance", "submit job to Brev", "Brev CLI deployment".
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- ▌ Vulcan Tpsl Management 2 · solizardking bundleTake-profit and stop-loss setup, cancellation, laddered exits, position-side rules, and verification for Vulcan/Phoenix.
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- ▌ Gemini API 2 · solizardking bundleUse when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.
- ▌ Gke Basics 2 · solizardking bundleCore GKE cluster discovery and hub. Use to route to specialized GKE skills. Do not use for specialized tasks (networking, security, etc.) directly.
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- ▌ Tao Run Deft Aoi 2 · solizardking bundleRun the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models: baseline evaluate, RCA, Cosmos AnomalyGen / AMP synthetic defects, k-NN mining, retraining, and deployment gating until FAR / recall KPI targets are met. Use for prompts like "run the DEFT loop", "fine-tune until FAR below 0.1% at recall=100%", or "improve my AOI ChangeNet model with RCA and synthetic defects"; do not use for standalone TAO training, one-off inference, generic anomaly generation, or RCA-only analysis.
- ▌ Tao Run On Slurm 2 · solizardking bundleRemote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".
- ▌ Tao Run Platform 2 · solizardking bundleTAO Execution SDK for submitting and monitoring GPU training jobs on supported platforms (Brev, SLURM, local Docker, Kubernetes). Use when the user wants to run TAO jobs through the SDK, get job tracking, S3 I/O wrapping, multi-node distributed training, or platform-specific features that docker-run can't provide. Trigger phrases include "use the TAO SDK", "call tao_sdk", "AutoMLRunner", "ActionWorkflow", "Job handles", "S3 I/O wrapping", "TAO platform run".
- ▌ Tao Train Ocdnet 2 · solizardking bundleOCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using a differentiable binarization approach. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCDNet model. Trigger phrases include "train OCDNet", "scene text detection", "arbitrary-oriented text boxes", "differentiable binarization detector".
- ▌ Tao Train Ocrnet 2 · solizardking bundleOCRNet for scene text recognition. Recognizes text content from cropped text-region images and supports CTC and attention-based decoders. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCRNet model. Trigger phrases include "train OCRNet", "scene text recognition", "OCR cropped text", "CTC / attention text decoder".
- ▌ Tao Train Rtdetr 2 · solizardking bundleRT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO RT-DETR model. Trigger phrases include "train RT-DETR", "real-time DETR", "low-latency object detection", "RT-DETR distillation / quantization".
- ▌ Google Agent Registry 2 · solizardking bundleMaintain and register Cheshire Google Agent Registry artifacts under registry/google (A2A agent card, MCP tools list, MCP interface, server card, zero-service OpenAPI) and deploy Apigee reverse proxies on project x402-477302. Use for gcloud agent-registry, 10 KB size limits, tool-name parity with server/mcp/tools.ts, Apigee test-env, or validate:google-registry / register:google-agent.
- ▌ Gke Scaling 2 · solizardking bundleConfigures GKE autoscaling, including HPA, VPA, and Node Auto-Provisioning (NAP). Use when configuring GKE autoscaling, setting up GKE HPA, setting up GKE VPA, or configuring GKE NAP. Don't use for configuring static cluster sizes or setting node-level machine styles directly (use gke-compute-classes instead).
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- ▌ Imperial Portfolio Intel 2 · solizardking bundleImperial profile balances, open positions, open orders, exposure summary, and wallet-level Telegram/admin portfolio recaps.
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- ▌ Tao Finetune Clip 2 · solizardking bundleCLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT.
- ▌ Vulcan Margin Operations 2 · solizardking bundleVulcan/Phoenix collateral, deposits, withdrawals, transfers, isolated margin, leverage tiers, and margin health.
- ▌ Gke Security 2 · solizardking bundlePlans, configures, and hardens Google Kubernetes Engine (GKE) security. Covers Workload Identity Federation, Secret Manager integration, RBAC hardening, Binary Authorization, Network Policies (Dataplane V2), Pod Security Standards, and IAM roles. Use when securing GKE clusters, setting up Workload Identity, hardening RBAC configurations, or configuring GKE secrets. Don't use for general network routing configuration (use gke-networking instead).