openspec-verify-change
Validates implementation against OpenSpec change artifacts before archiving. Checks completeness, correctness, and coherence.
Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Validates implementation against OpenSpec change artifacts before archiving. Checks completeness, correctness, and coherence.
Retrieves implementation source for dependencies from npm, PyPI, and crates.io. Helps agents investigate library behavior beyond types and documentation.
Covers the OpenTelemetry SDK, custom ActivitySource instrumentation, IMeterFactory metrics, and resource configuration. Includes OTLP export and Aspire Dashboard integration.
Sets up SDK auto-instrumentation or eBPF instrumentation across multiple languages. Configures OTLP endpoints, authentication, environment variables, Alloy or Collector pipelines, Kubernetes injection, and head or tail sampling.
Supports Python Protocol API v2 workflows for Flex and OT-2 robots. Covers deck and labware setup, pipettes, modules, runtime parameters, liquid classes, protocol migration, and Opentrons App analysis.
Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
Supports OpenTUI components, layout, keyboard input, keymaps, and animations. Also covers testing terminal user interfaces.
Provides expertise in OpenViking, an open-source context database for AI agents. It uses a filesystem paradigm to manage memory, resources, and skills.
Provides safeguards for actions affecting live systems, shared state, and irreversible resources. Covers deletion, overwrites, process control, shared configuration, secrets hygiene, and concurrent-session safety before executing commands.
Converts a successful threat hunt into a durable detection by extracting the discriminating logic, defining data sources and thresholds, and emitting a Sigma rule plus a test and tuning plan. Activates for requests to operationalize a hunt, turn a finding into a detection rule, or productionize hunt logic as a Sigma detection.
Evaluate design opportunities against impact and effort when ideas exceed available capacity. Supports identifying, scoring, and prioritising opportunities before framing a selected project.
Structures product exploration as an Opportunity Solution Tree from desired outcomes through opportunities, solutions, and tests. Helps frame stakeholder requests as problems before deciding what to build.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name