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Found 10,558 Skills
Use when a locally-served model misbehaves in an agent harness — wrong/empty tool calls, truncated output, context overflow, or slow generation. Diagnoses whether the fault is the model tier, the serving config, or the harness wiring, using the agentic repo's probe and model matrix.
OmniStudio OmniScript creation and validation with 120-point scoring. Use when building guided digital experiences, multi-step forms, or interactive processes that orchestrate Integration Procedures and Data Mappers. TRIGGER when: user creates OmniScripts, designs step flows, configures element types, or reviews existing OmniScript configurations. DO NOT TRIGGER when: building FlexCards (use omnistudio-flexcard-generate), creating Integration Procedures directly (use omnistudio-integration-procedure-generate), or analyzing dependencies (use omnistudio-dependencies-analyze).
Run a change-gated, branch-scoped lint preflight (ESLint / markdownlint / actionlint) on the files a branch changes versus its base, classify each violation as introduced vs pre-existing, and drive the fix/defer loop via an exit-code contract (0 pass, 1 introduced/blocking, 2 pre-existing only). Use when asked to run preflight, check whether a branch will pass lint before pushing, or as the lint gate inside a ship/PR flow. Lints only the categories the branch touched — not a whole-repo lint — with linted workspaces and the base branch auto-detected, so a consuming repo configures nothing in the common case.
Define an entire Cargo workspace in code — connectors, models, plays, tools, agents, MCP servers, context, capacities, territories, segments, folders, files, workers, apps — and deploy it declaratively with `cargo-ai cdk` (init → types → plan → deploy), the way you'd manage cloud infra with Pulumi or the AWS CDK. Use when the user wants to manage Cargo resources as code: reproducibly, version-controlled, in git, from a template, or across environments. Routes to authoring/deploy/typing guides (Level 2), recipes (Level 2.5), and references. For one-off imperative operations (create one connector, read a model, run a workflow), use the matching capability skill instead.
Automate Figma UI design. Use this skill when users need to create design drafts, generate components, export resources, or automate design workflows.
CI/CD pipeline design, optimization, DevSecOps security scanning, and troubleshooting. Use for creating workflows, debugging pipeline failures, implementing SAST/DAST/SCA, optimizing build performance, implementing caching strategies, setting up deployments, securing pipelines with OIDC/secrets management, and troubleshooting common issues across GitHub Actions, GitLab CI, and other platforms.
Expert in integrating payment gateways (Stripe, PayPal, Adyen) and designing PCI-compliant billing architectures. Use when implementing checkout flows, subscriptions, or payment processing. Triggers include "Stripe", "PayPal", "payment gateway", "checkout", "subscription billing", "PCI compliance", "payment processing".
Use when creating custom API endpoints in Bknd. Covers HTTP triggers with Flows, plugin routes via onServerInit, request/response handling, sync vs async modes, accessing request data, and returning custom responses.
Orchestrate iOS screenshot automation with xcodebuild/simctl for build-run, AXe for UI actions, JSON settings and plan files, Go-based framing (`asc screenshots frame`), and screenshot upload (`asc screenshots upload`). Use when users ask for automated screenshot capture, AXe-driven simulator flows, frame composition, or screenshot-to-upload pipelines.
Generate comprehensive Go integration tests using testify suite patterns with real database and infrastructure dependencies. Use when creating or updating integration test files, testing use cases against real databases, verifying end-to-end flows, or when asked to add integration test coverage for Go code.
Workflow for measuring and optimizing the ACIR circuit size of a constrained Noir program. Use when asked to optimize a Noir program's gate count or circuit size.
Run ML model inference (YOLO, YOLOv8, CLIP, SAM, Detectron2, etc.) on FiftyOne datasets. Use when running models, applying detection, classification, segmentation, embeddings, or any model prediction task. Also use for end-to-end workflows that include importing data then running inference.