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npx claudepluginhub jylhis/skills --plugin jylhis-duckdbDiagnose a bug end-to-end without speculative fixes. Use when a test is failing, behavior is wrong, a stack trace needs interpretation, or production logs point at an unclear cause. Drives reproduce → minimize → hypothesize → instrument → fix → regression-test. May propose a fix; the caller decides whether to apply it.
Locate code, trace symbols, and answer "where is X defined / which files reference Y" questions across an unfamiliar codebase. Use for breadth-first surveys of a repo, mapping module boundaries, and finding existing patterns before adding new ones. Read-only — never modifies files.
Review pull requests, branches, and local diffs for correctness, regressions, missing tests, security issues, and risky migrations. Use when asked to review code, audit a diff, or prepare blocking/non-blocking review feedback. Read-only — never modifies files.
Use for Emacs and Emacs Lisp work — modern Elisp conventions (lexical-binding, use-package, keymap-set, setopt, defvar-keymap, if-let*, tree-sitter ts-mode), authoring major modes (define-derived-mode, font-lock, indent-line-function, syntax tables, treesit-simple-indent-rules), package publishing (MELPA / GNU ELPA / NonGNU ELPA, ;;;###autoload, package-lint, checkdoc), code review (linting, byte-compile, obsolete API detection), ERT testing, debugging (--debug-init, Edebug, profiler, native-comp), gptel + MCP integration, introspection (describe-*, apropos, find-function), and keybinding design (keymap layers, key-valid-p). Read the matching reference before acting.
Use for low-level filesystem topics on macOS, Linux, and NixOS — APFS (clonefile, copy-on-write, Spotlight exclusion, Time Machine snapshots, /nix synthetic mounts, dedicated APFS volumes), Btrfs (flat subvolume layout, impermanence + erase-your-darlings root rollback, compress=zstd, NOCOW vs SQLite WAL, bees deduplication, cross-subvolume reflinks), and ZFS / OpenZFS (pool / dataset layout, recordsize, ashift, compression, ARC sizing, block cloning, mirrors vs RAIDZ, sanoid / syncoid replication, NixOS generations + ZFS snapshots). Read the matching reference before recommending filesystem changes.
Use for GitLab work — CI/CD pipeline configuration in `.gitlab-ci.yml` (pipeline templates, downstream pipelines, Docker builds, caching strategies, CI/CD components, runner config, artifacts vs cache, pipeline inputs, duplicate pipeline traps) and the `glab` CLI for terminal-based GitLab workflows (merge requests, issues, epics, work items, comments, Quick Actions, GitLab API queries, inline review comments). Read the matching reference before editing pipelines or running glab.
Use for modern Go work keyed to the project's Go version — `any` over `interface{}`, errors.Is / errors.Join, slices / maps / cmp packages (Contains, Index, SortFunc, Sorted, Collect, Clone, Copy, Keys, Values), sync.OnceFunc / OnceValue, context.AfterFunc / WithCancelCause, atomic.Bool / Int64 / Pointer[T], `for i := range n` loops, cmp.Or, http.ServeMux method-and-path patterns + r.PathValue, t.Context() in tests, omitzero JSON tags, b.Loop() benchmarks, strings.SplitSeq / FieldsSeq iterators, sync.WaitGroup wg.Go(fn), errors.AsType[T], `new(value)` pointer expressions. Read the matching reference before reviewing Go code for outdated patterns.
Use for JVM build, packaging, and testing — Gradle 8.10+ with Kotlin DSL, libs.versions.toml version catalogs, java/kotlin toolchains, convention plugins (buildSrc / build-logic), configuration cache + parallel builds; publishing libraries to Maven Central via maven-publish + nmcp + JReleaser, signing with useInMemoryPgpKeys, JPMS module-info, GitHub Actions release-on-tag; testing with JUnit 5 (Jupiter), AssertJ, kotest (Kotlin), mockk / mockito, Testcontainers, JaCoCo, awaitility. Read the matching reference before acting.
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Uses Bash, Write, or Edit tools
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Minimal AI coding agent team skills for the full engineering workflow: think, plan, review, test, audit, ship
Verification-first engineering toolkit for Claude Code. 15 skills across a 5-phase spine (Investigate → Design → Implement → Verify → Ship), 8 specialist agents, an interactive setup wizard. Every skill has rationalizations + evidence requirements. Built for senior ICs and tech leads.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
The AI engineering workflow framework for teams — full lifecycle from ticket to post-mortem with quality gates at every stage
Universal Claude Code workflow with specialized agents, skills, hooks, and output styles for any software project. Includes orchestrator, code-reviewer, debugger, docs-writer, security-auditor, refactorer, and test-architect agents.
Software engineering workflows with skills for planning, implementation, quality review, and structured thinking, plus a suite of specialist agents
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, or benchmark skill performance with variance analysis.
Go development intelligence: 36 skills covering idioms, patterns, testing, performance, security, and modern syntax plus gopls LSP
Rust development intelligence: 29 skills covering ownership, lifetimes, error handling, concurrency, domain patterns, and LSP tooling plus rust-analyzer integration
General productivity and workflow skills for session management, logging, and daily workflows
Obsidian knowledge base skills — markdown, canvas, bases, CLI, and web content extraction
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