ai-quality
claudecodexAI-quality workflows for efficient context, natural output, plain-language restatements, and iterative artifact improvement.
4 skills
Developer workflows for change assessment, code simplification, commits, technical debt, technical writing, and documentation sync.
Plugin engineering-tools from marketplace shag-ai-plugins in Shagon1k/shag-ai-plugins. Commands read from the repo's manifest — 8 days ago.
assess-change-complexityAssess proposed software changes—including features, stories, tickets, refactors, migrations, and integrations—with an evidence-backed XS–XXL implementation-complexity score, driver guardrails, and a separate confidence rating. Use when the user asks to size or estimate engineering work, compare alt
audit-tech-debtAudit a codebase for actionable technical debt and maintain a deduplicated roadmap. Use when the user asks to find code smells, maintainability risks, refactoring priorities, or update an existing technical-debt backlog. Supports optional Jira ticket creation only with explicit approval. Not a subst
create-conventional-commitPrepare and create a Conventional Commit from staged changes. Use when the user asks to commit or to write or validate a commit message. Always requires explicit confirmation before git commit. Not for push, amend, or history rewrites.
simplify-codeSimplify code for clarity, consistency, and maintainability while preserving behavior. Use for explicit simplification requests, focused cleanup during or after implementation, and code reviews assessing readability, unnecessary abstractions, or overengineering. Not for adding features, changing beh
write-technical-docsWrite, restructure, review, or sync clear technical documentation by choosing its purpose with Diátaxis, addressing the reader directly, controlling sentence load, and removing ambiguity. Use for READMEs, tutorials, how-to guides, reference docs, explanations, RFCs, ADRs, runbooks, API docs, PR desc
AI-quality workflows for efficient context, natural output, plain-language restatements, and iterative artifact improvement.
4 skills
Reusable workflows for planning, building, reviewing, and maintaining web applications, including optional GitHub work tracking and code style rules.
1 skill
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
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