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SkillsMP has collected 10 skills from XRPLF/xrpl-go. Open a skill to review its source and details.
Showing 10 of 10 collected skills.
Reference for any XRPL Standard (XLS-N) when implementing or reviewing XRPL protocol features. Trigger on: XLS number (XLS-30, XLS-70), amendment name (AMM, Credentials, MPT, DID, NFToken, Batch, Escrow, Clawback, Firewall, Permissioned DEX, Token…
Spawn 4 parallel Claude reviewers on the current branch (2× /review, 2× /code-review), synthesize them into one merged review, then walk findings interactively. Two modes — fix locally before opening a PR (developer mode), or post inline + body comments back…
Generate a filled PR description from a branch's changes compared to a base branch, then optionally open the PR on GitHub via `gh pr create`. Autodetects the repo's GitHub PR template (.github/PULL_REQUEST_TEMPLATE.md and variants), falling back to a built-in…
Fetch PR review comments from GitHub, interactively walk through each one, and choose how to address it — fix the code, reply, ask for clarification, or skip. Use when you have PR feedback to work through.
Review the current branch's diff against go-* anti-pattern rules and xrpl-standards specs. Spawns focused subagents per changed package, plus a single XRPL-domain reviewer when protocol files are touched, and synthesizes findings cross-cutting. Use when the…
Use this skill when writing Go goroutines, channels, mutexes, sync primitives, context cancellation, or any concurrent Go code to avoid data races and goroutine leaks.
Use this skill when working with Go slices, maps, integers, strings, range loops, or defer in loops to avoid common data type and control flow pitfalls.
Use this skill when designing Go APIs, organizing packages, writing functions or methods, choosing receiver types, or structuring a Go project.
Use this skill when writing, reviewing, or debugging Go error handling — wrapping errors, sentinel errors, error type checking, panicking, or handling errors in defer.
Use this skill when optimizing Go performance, writing benchmarks, using the standard library (HTTP, JSON, SQL, time), or ensuring production-quality testing.