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Found 1,088 Skills
Shared Python package for Science Skills, currently containing http_client -- a unified HTTP client with rate limiting, retries, and exponential backoff. Not a standalone agent skill. Do not invoke directly.
This skill should be used when the user asks for a cryptographer, cryptography review, help to choose a cipher (AES-GCM, ChaCha20-Poly1305, ECDH, RSA tradeoffs), key management, PKI design, TLS configuration, protocol security or handshake review, authenticated encryption, digital signature scheme design, post-quantum migration at architecture level, ProVerif or Tamarin modeling concepts, nonce reuse or IV misuse analysis, HKDF vs password hashing (Argon2), HSM or KMS usage patterns, secure randomness, side-channel and constant-time requirements, or cryptographic agility and algorithm deprecation—not general OWASP web app review only (information-security-engineer), secure coding checklists without crypto depth, Solidity or smart contract audits, blockchain wallet tracing, legal export classification, or shipping custom production crypto without design and review gates.
Configure worker RBAC, filtered discovery, FORBIDDEN errors, registration hooks, auth functions, and safe browser/public worker-manager listeners in iii. Use when configuring permissions, tenant isolation, exposed functions, browser-safe worker access, or denied invocation behavior.
Design and review predictable public APIs for TypeScript, JavaScript, React, and React Native libraries. Use when shaping exported functions, classes, hooks, options objects, event and listener APIs, error behavior, naming, cross-platform abstractions, or JS-only packages. Pair with build-nitro-modules when the library is backed by Nitro.
Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth model. Trigger phrases include "train monocular depth", "DepthAnything v2", "metric depth from single image", "monocular depth estimation".
SegFormer for semantic segmentation. Lightweight transformer-based architecture with hierarchical feature extraction, efficient for real-time segmentation tasks. Use when training, evaluating, exporting, quantizing, or running inference for a TAO SegFormer model. Trigger phrases include "train SegFormer", "semantic segmentation", "lightweight transformer segmenter", "real-time semantic segmentation".
Use this skill when users need to create, generate, or validate Salesforce Custom Report Type metadata. Trigger when users mention custom report types, report types, CRTs, reporting frameworks, cross-object reports, report builder data sources, or ask to expose fields for reporting across related objects. Also use when users mention primary and related objects for reports, inner vs outer joins in reports, report type categories, or encounter deployment errors for .reportType-meta.xml files. Do NOT trigger for: running, editing, or filtering existing reports; creating report folders, dashboards, or list views; or general reporting questions that don't involve authoring a .reportType-meta.xml file.
Automate Figma UI design. Use this skill when users need to create design drafts, generate components, export resources, or automate design workflows.
Use when building IoT applications, sensor networks, or edge devices in Rust. Covers telemetry, protocol buffers, protobuf, CoAP, BLE, Bluetooth, serial communication, GPIO, edge computing, OTA update, firmware, data pipeline, MQTT with rumqttc, offline-first store-and-forward, exponential backoff retry, power management, TLS security, and telemetry publishing.
Scaffold and deploy Cloudflare Workers with Hono routing, Vite plugin, and Static Assets. Workflow: describe project, scaffold structure, configure bindings, deploy. Use when creating Workers projects, setting up Hono/Vite, configuring D1/R2/KV bindings, or troubleshooting export syntax errors, API route conflicts, HMR issues, or deployment failures.
Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports.
Technical safeguards and architectural patterns for building HIPAA-compliant software on AWS. Use when building healthcare SaaS, handling PHI (Protected Health Information), designing patient data systems, implementing healthcare APIs, setting up HIPAA-eligible AWS infrastructure, reviewing code for PHI exposure, designing audit logging, or when the user mentions patients, medical records, EHR/EMR, health data, HL7, FHIR, or covered entities. Essential for founders and developers building in healthcare or digital health space.