com um clique
claude-plugins
claude-plugins contém 22 skills coletadas de nicknisi, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Use when the user is weighing or pressure-testing an idea rather than committing to build it — 'should I do X', 'which of these approaches', 'is this worth doing', 'what am I missing', 'am I overthinking or over-engineering this'. A lightweight thinking partner that surfaces hidden assumptions and argues for the simplest version, in conversation — no files, no spec. Once the idea is settled and the user wants it turned into an actual plan or spec, that's planning work — hand off to the ideation skill if it's available. Not for writing code to a known spec, bug fixes, or refactors.
Read and drive other tmux panes when Claude runs inside tmux. Use whenever the user points at something running in another pane/split/window — their dev server, test watcher, build, logs, REPL, or another shell — e.g. "errors in my dev server", "read/tail my other pane", "is my server up and on what port", "run this in my other split", "restart the watcher". Also for driving interactive/long-running CLIs (Node REPL, vite/next dev, vitest, node inspect) and spawning isolated background tmux sessions.
Socratic tutor that drills the user until they deeply understand a change — the problem, the solution, the design decisions, the edge cases, and what it impacts. Use after completing or reviewing work (a diff, PR, or session) when the user wants to truly own it, not just skim it — or when the user says /socratic-tutor, "teach me what we just did", "quiz me on this", "walk me through this change", or "make sure I understand this". Restates-first, quizzes, and does not stop until the user demonstrates mastery.
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. User-invocable only — does not auto-trigger. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
Phased maintainability migration that transforms messy, overgrown, or slop-prone repos into product-shaped codebases while preserving behavior. Covers file splitting, typed boundaries, test hardening, feature folders, API consolidation, and a final migration audit microsite. Use when the user asks to "rehab this codebase", "run a maintainability migration", "modernize structure", "clean up this messy repo and make it maintainable", or "productionize this prototype". Unlike codebase-sweep (parallel quick audit), this is a deep, staged refactor with migration planning and checkpoint commits. Do not use for security audits, observability, compliance, or SRE work.
Comprehensive, codebase-wide quality sweep that dispatches parallel subagents to find and fix structural issues. Covers deduplication, type consolidation, dead code removal, circular dependencies, weak types, defensive try/catch, deprecated paths, and AI slop. Primary support for JS/TS projects (knip, madge, TypeScript types); other languages get grep-based analysis. Use when the user asks to "deep clean the whole repo", "run a full codebase audit", "nuclear cleanup", "deslop everything", or "sweep the entire codebase for quality issues". Do NOT use for single-file fixes, branch-scoped diffs (use de-slopify instead), or targeted refactors.
Compact the current conversation into a handoff document for another agent to pick up. Use when the user says "hand this off", "wrap up", "save context", "continue later", "pass this to another session", "I need to stop here", "pick this up later", or when a session is ending with unfinished work. Also use when context is getting long and the user wants to start fresh without losing progress.
Build a throwaway prototype to answer a design question before committing to real implementation. Generates either a runnable terminal app (for state machines, data models, business logic) or several radically different UI variations on one route (for visual/layout decisions). Use when the user wants to prototype, spike, POC, sanity-check a data model, mock up a UI, explore design options, or says "prototype this", "spike this out", "let me play with it", "try a few designs", "sketch this in code", "I want to try something before building it for real", "quick and dirty version", or "validate this approach" — even if they don't use the word "prototype."
Go up a layer of abstraction and map the surrounding architecture. Use when the user is unfamiliar with an area of code, asks "how does this fit in", "what calls this", "give me the big picture", "where am I", "map this out", "I'm lost", "explain this area", or needs to understand how a file, module, or function connects to the rest of the system. Also use when the user says /zoom-out or "zoom out" mid-conversation — even without a specific file reference, orient them based on whatever code is currently in context.
Transform brain dumps into polished blog posts in Nick Nisi's voice. Use when the user says "write a blog post," "draft a post," "write about [topic]," "turn my notes into a blog post," or provides scattered ideas, talking points, or conclusions that need shaping into a cohesive narrative.
Create conference talk outlines and slide-by-slide content plans using narrative frameworks. Use when the user wants to structure a tech talk, create presentation content, or needs help organizing talk ideas into a story-driven format. Tool-agnostic — outputs a talk script, not slides.
This skill should be used when the user asks to "tighten this up", "tighten the prose", "clean up the writing", "check for AI tells", "make this sound more human", "de-slop this", "run a writing pass", or when completing a writing task that should not read like AI output. Scans prose for statistically overrepresented AI writing patterns and rewrites flagged sections.
Fetch tweets, Twitter/X articles, and Reddit posts via proxy APIs. Use when the user provides a twitter.com, x.com, or reddit.com URL, or asks to read a tweet, post, article, or thread from Twitter/X or Reddit.
Dispatch six parallel reviewers (security, correctness, conventions, test coverage, architecture, project-alignment) across the current branch diff and merge their findings into one categorized markdown report. User-invocable only. A local sibling to the paid /ultrareview cloud command, not a replacement.
Generate or edit images via Google Gemini (nano-banana-pro) or OpenAI gpt-image-2. Trigger on "generate image", "create diagram", "edit image", or "make illustration". Supports 1K/2K/4K resolution, masked inpainting, and text-accurate generation.
Ask a specific AI model (codex, gemini, grok, perplexity, claude) for focused analysis or a second opinion
Have AI agents debate a topic through multiple rounds of critique and refinement
Launch multiple AI agents in parallel for comprehensive research coverage
Remove code slop from the current branch
Create a pull request with a structured template
Engage deep thinking mode - question assumptions, plan meticulously, craft elegant solutions, and iterate relentlessly toward excellence
Dispatch the security-auditor agent on the current branch diff with pre-gathered context. User-invocable only — does not auto-trigger on ambiguous phrasing. Use when you explicitly want a deep vulnerability audit of branch changes.