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Found 6,202 Skills
OpenClaw workflow automation: multi-step task chains, conditional logic, triggers, schedule
Query Oodle metrics, discover labels and values, and build PromQL expressions using the label discovery workflow.
Enforce disciplined agent development workflows with plan-first development, small-slice execution, specialized self-review roles, quality gates, and project setup. Use when starting a new project, setting up development conventions, wanting structured planning, or needing the agent to follow best practices for code quality, review, and validation.
Use this whenever an OpenChoreo task needs a platform-level change or investigation: cluster setup, Helm upgrades, kubectl work, plane connectivity, platform resources, ComponentTypes, Traits, Workflows, gateways, secret stores, identity, GitOps, observability, or cluster-side debugging. If the same task also involves deploying or debugging an application through `occ`, activate `openchoreo-developer` too instead of waiting to escalate later.
Provide US dividend tax and account-location workflow for Kanchi-style income portfolios. Use when users ask about qualified vs ordinary dividends, 1099-DIV interpretation, REIT/BDC distribution treatment, holding-period checks, or taxable-vs-IRA account placement decisions for dividend assets.
Gleap integration. Manage data, records, and automate workflows. Use when the user wants to interact with Gleap data.
Internal support skill for actionbook MCP selectors used by Rust documentation research workflows. Use only when another rust-skills workflow explicitly requests actionbook-backed selectors.
Router skill for LLMQuant options workflows. Use when the user needs IV rank, option scoring, strategy construction, Greeks, P&L simulation, volatility surface, unusual activity, earnings IV crush, backtests, or hedges.
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
Use Antithesis documentation efficiently for product, workflow, and integration questions. Prefer the snouty docs CLI when available, and otherwise request markdown versions of documentation pages directly.
Astronomer integration. Manage data, records, and automate workflows. Use when the user wants to interact with Astronomer data.
Linear operators for large-scale inverse problems with matrix-free representations. Use when Claude needs to: (1) Define linear operators for forward/adjoint operations, (2) Solve inverse problems (deconvolution, imaging, tomography), (3) Apply signal processing transforms (FFT, convolution, derivatives), (4) Compose operators for complex workflows, (5) Perform regularized inversion with smoothness or sparsity constraints, (6) Process seismic or image data at scale.