ruby-rails
claudeRuby 4+ and Rails 8+ expert skills: mise toolchain, Ruby LSP, RBS/Sorbet type signatures, Active Record, Hotwire, testing, security, performance, and Kamal deployment
28 skills · hooks · LSP
Evaluation layer for Claude Code plugins — scored skill and plugin audits, hook and rules evals, and context-footprint reports against bundled checklists
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin meta in meaganewaller/marketplace. Commands read from the repo's manifest — 5 days ago.
modular-skill-frameworkThis skill should be used when the user asks about "modular skills", "composable skills", "skill composition", "split a skill", "skill boundaries", "skill interfaces", "token-efficient skills", "single responsibility for skills", or needs design patterns and implementation guidelines for reusable sk
/meta:audit-skillAudit a Claude Code skill for structure, triggers, and quality best practices
/meta:context-optimization-reportGenerate a context window optimization report for all skills in a directory
/meta:create-commandScaffold a new slash command in a Claude Code plugin using meta conventions
/meta:hooks-evalEvaluate plugin hooks statically and run companion test scripts when present
/meta:rules-evalEvaluate Cursor rules and agent instruction files for clarity and enforceability
/meta:skills-evalBatch-evaluate all skills in a plugin or directory for quality and compliance
/meta:test-skillRun behavioral scenarios against a single skill to test trigger and rule compliance
/meta:validate-hookValidate plugin hook configuration, scripts, and portable path usage
/meta:validate-pluginValidate a Claude Code plugin against structure and marketplace checklist rules
plugin-auditorScores Claude Code plugins for layout, manifest quality, component inventory, marketplace registration, and hook/MCP conventions. Use when the user asks to "audit a plugin", "score this plugin", "marketplace registration check", "plugin compliance review", or needs a scored plugin assessment with an
skill-auditorPerforms detailed quality audits of Claude Code skills and generates improvement recommendations. Use when the user asks to "audit a skill", "skill quality review", "evaluate skills in a plugin", "skill standards compliance", "token efficiency audit", or needs structure, content, activation, and too
Problems found in this repo's manifests
Ruby 4+ and Rails 8+ expert skills: mise toolchain, Ruby LSP, RBS/Sorbet type signatures, Active Record, Hotwire, testing, security, performance, and Kamal deployment
28 skills · hooks · LSP
Chezmoi-managed dotfiles workflow: source-only edits, templates, run_onchange scripts, BATS tests, ADRs, and mise/Homebrew package routing
9 skills · 4 commands · 2 agents · hooks
plugins for agentic workflows
6 skills · 2 commands · 1 agent
mise dev environment management — tool versions, environment variables, tasks, and project configuration
3 skills · 3 commands · 1 agent · hooks
Complete example plugin demonstrating all plugin features
1 skill · 2 commands · 1 agent · 1 MCP server · hooks
Git and GitHub workflow skills — commits, pull requests, issues, and PR splitting, sharing one set of conventional-commit and issue-linking rules
4 skills
Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin creation and validation.
7 skills · 1 command · 3 agents
Design fluency for frontend development. 1 skill with 24 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
1 skill · 4 agents · hooks
Scaffold, validate, and publish new Claude Code plugins with proper structure
3 skills · 1 command · 1 agent
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
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