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.Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: "Why is X failing?", "Where does this error come from?", "Trace this bug"
Supports debugging bugs, tracing errors, and investigating failures. Helps identify where an error originates and why a particular behavior fails.
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"
Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"
Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?"
Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file"
Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.
Provides a single entry point to Conductor, where a stated goal initiates automatic handling.
Works through every pending item in the working todo queue created with /list. Performs each task and marks it in progress, then completed.
Cover package and interface design, error wrapping, generics, table-driven tests, modern standard-library features, and logging. Guide Go code away from deep layering, generic repositories, and unnecessarily heavy frameworks.
Establishes Go benchmarks and measures performance using -benchmem and pprof. Optimizes hot paths and uses benchstat to demonstrate improvements and check for regressions.
Supports persistent objectives for Copilot sessions and resuming unfinished work. Provides turn-based continuation with decisions about completion and blockers.
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