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Found 1,834 Skills
Builds production AI/ML systems — model training, fine-tuning, MLOps pipelines, model serving, evaluation frameworks, RAG optimization, and agent orchestration at scale. Use when the user asks to build, train, or deploy ML models, set up MLOps pipelines, optimize RAG systems, create inference endpoints, or design production AI agents.
Linear project-management CLI for the terminal. Manage issues, projects, cycles, teams, initiatives, roadmaps, and customer records via the Linear GraphQL API with offline-capable SQLite sync. Use when the user asks about their Linear issues, wants today's queue, sprint velocity, team workload, bottlenecks, duplicate / stale / orphaned issues, release pipelines, or wants to create, update, or search Linear items from the terminal. Offline search and analytics work without an API round-trip after a one-time sync.
Maravilla Cloud durable workflows — replay-based, multi-step processes that survive restarts. Use whenever you need sleeps spanning minutes/hours/days, multi-step pipelines where each step's output feeds the next, waiting for external events, or strict step-history audit. `defineWorkflow` from `@maravilla-labs/functions/workflows/runtime` with `step.run`, `step.sleep`, `step.sleepUntil`, `step.waitForEvent`, `step.invoke`.
/cs:brief <topic> — Generate a one-page strategy brief from an office-hours intake. First step in the strategic sprint pipeline.
Customer.io CLI — use for Customer.io, Journeys, or CDP Pipelines tasks, including getting started phrases like "I want to build with Customer.io", onboarding, signup, sending a first email, campaigns, broadcasts, segments, people, environments, billing, pricing, plans, signing secrets, sources, destinations, track/identify events, `sa_live_` tokens, and `fly.customer.io` / `cdp.customer.io` errors, even when the user does not name the CLI.
Create and manage Jenkins CI/CD pipelines, configure agents, manage plugins, and automate builds. Use when working with Jenkins servers, creating Jenkinsfiles, or setting up build automation for enterprise environments.
Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate model performance.
Spatial data gridding and interpolation with a machine-learning style API. Process geographic and Cartesian point data onto regular grids. Use when Claude needs to: (1) Grid scattered spatial data onto regular grids, (2) Interpolate point data using splines, linear, or cubic methods, (3) Process geographic coordinates with projections, (4) Reduce large datasets using block averaging, (5) Remove polynomial trends from spatial data, (6) Cross-validate gridding parameters, (7) Create processing pipelines with Chain, (8) Grid vector data like GPS velocities.
Used when you need to chain multiple skills to complete pipeline tasks such as compilation + flashing + monitoring or compilation + flashing + debugging.
Interactive setup guide for using Infisical as a secret management tool in your projects. Helps users integrate Infisical into local development (CLI), Docker containers (build-time and runtime secret injection), CI/CD pipelines (GitHub Actions, GitLab CI), Kubernetes (Operator + CRDs), and application code (Node.js, Python, Go, Java, .NET, Ruby SDKs). Also walks through choosing and configuring machine identity auth methods (Universal Auth, AWS Auth, Kubernetes Auth, OIDC, etc.). Use this skill whenever someone asks about: using Infisical, injecting secrets, infisical run, infisical init, connecting their app to Infisical, Docker secrets, Kubernetes secrets operator, machine identity setup, SDK initialization, CI/CD secret injection, or 'how do I get my secrets into my app'.
AI agent skill for CompressO — a free, open-source, offline desktop tool for batch video and image compression built with Tauri + React. Use when the user needs to compress, trim, convert, or embed subtitles into video/image files locally without any network dependency. Covers installation (Homebrew, DMG, MSI, AppImage, DEB), build from source (Rust + Node.js + pnpm), and guidance on FFmpeg/pngquant/jpegoptim/gifski pipelines. Triggers on: compresso, compress video, compress image, batch compression, ffmpeg compression, tauri desktop compression, offline video compress.
Guides end-to-end lifecycle governance for mission-critical, high-assurance, or zero-failure- tolerance systems—concept through retirement: phases, gates, evidence, traceability, obsolescence, tech refresh, configuration baselines, NDA-safe regulated/classified patterns, assurance/DevSecOps/ ATO interfaces, decommissioning and data disposition. Use for extreme lifecycle, system lifecycle, mission-critical lifecycle, lifecycle gates, sustainment, tech refresh, obsolescence management, decommissioning, configuration baseline, lifecycle evidence, end-to-end lifecycle, or retire a system—not TPM-only (technical-program-manager), HRO-only (zero-tolerance-for-failure), tiering-only (mission-critical), classified pipeline-only (classified-software-devsecops-engineer), formal proofs (software-assurance-formal-methods-specialist), compliance-only (compliance-engineer), CI-only (build-validator), infra portfolio-only (vp-of-infrastructure).