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Describe a project in plain language and `/scaffold` routes the request to a stack-specific wizard, shows the complete plan, and waits for confirmation before generating code, configuration, and project guidance. `/bootstrap` surfaces relevant community skills, while `/sync` exports project memory to Git for reuse across machines and several coding tools. The collection includes more than 30 skills, although many topic-specific reference skills are still clearly marked stubs.

content-audit scans user-facing text across sites and apps for AI-like filler, TODOs, internal implementation details, placeholders, and weak UX copy. It reports each finding with the original line, location, and a drop-in revision, then gives separate AI-likeness and release-readiness scores. The skill evaluates wording and visible leaks, not the truth of external facts.

public-client-leak-audit scopes the public/private boundary, sweeps for backend paths, infrastructure details, rate-limit mechanics, secrets, and tests that reveal server behavior, then checks client-side hardening. It covers permissions, message origins, token storage, DOM sinks, origin pinning, build-time configuration, and remote code or config. The rewrite rule keeps observable client contracts while hiding how the private service works.

human-readable-refactor performs focused, behavior-preserving cleanup over a file, directory, or diff. It removes comments that merely narrate code, improves vague private names, simplifies control flow, and deletes dead or duplicated logic while preserving public APIs and observable error behavior. It favors local conventions and narrow verification, and explicitly does not hide AI use, rewrite authorship, or introduce broad architecture changes.

Clean Markdown Human runs a Markdown document through focused editorial passes that remove chatbot artifacts, placeholders, filler, vague wording, structural noise, and bad hard-wrapping. It preserves the author’s meaning and does not fabricate sources, dates, features, quotes, or personal details. Code blocks, commands, links, citations, and valid data tables are left alone unless clearly broken.

Humanizer EN reviews English prose for 36 recurring machine-writing patterns, including empty praise, vague attribution, filler transitions, chatbot leftovers, structural noise, and citation artifacts. It keeps the author’s meaning and does not invent sources, fake imperfections, or rewrite text to evade detectors. The skill can run in Claude.ai, Claude Code, or another compatible agent.

Skill Master searches local, GitHub, and web sources for a skill that matches a task, and can research and create one when no suitable option exists. It executes the selected skill, reviews what actually happened against the instructions, and updates the skill only when divergences appear. Later feedback can repair the current output and refine the originating skill together.

Scholar Sidekick MCP Server resolves DOIs, PubMed IDs, ISBNs, arXiv IDs, ISSNs, ADS bibcodes, and WHO IRIS URLs into formatted citations or bibliography files. It supports batch input, more than 10,000 CSL styles, nine export formats, retraction checks, and open-access lookup. The public API can be used anonymously at a rate-limited tier, while clients may instead connect to the hosted Streamable HTTP MCP endpoint.

disk-cleanup scans more than twenty macOS developer-cache and build-artifact locations, groups them into safe, confirm-first, and display-only tiers, and reports sizes. It requires an explicit confirmation before deletion, previews expanded paths, and compares disk space before and after. User profiles, downloads, and Time Machine snapshots remain display-only.

Use a resume and portfolio to collect active Korean job listings from eight platforms, rank them with stated matching criteria, and explain both fit and gaps. The Claude Code skill then develops role-specific Korean jasoseo strategies from the candidate’s own material rather than inventing experience. Some sources expose only listing-level details, and unofficial platform endpoints may need maintenance when they change.

Safe Debug Loop separates a difficult module cleanup into two stages: research and bug inventory without changing production code, followed by an iterative loop that handles one bug at a time. Each fix is paired with an isolated smoke test, an atomic commit, and persistent debugging notes under the project. It is intended for an already-built app or dashboard whose interconnected bugs make ad hoc fixes too risky, rather than for implementing the product’s core features.

github-viral-marketer packages a repository for promotion by auditing its first-screen hook, generating social previews and SEO tags, and drafting Show HN or Reddit narratives. Its scripts can fork, edit, and submit pull requests to Awesome lists, while an outbound loop finds missing files in target repositories, fixes them, and opens backlinking pull requests. It focuses on repository wrapper, Markdown, and distribution material rather than core code.

the-super-planner-skill sizes the task as Quick, Standard, or Deep, routes research by claim type, and checks the project’s dependency versions before relying on current documentation. It locks a Goal Contract with numbered success criteria and a runnable definition of done, then traces each implementation slice back to one criterion and repairs failed checks. The skill has no extra dependencies, but Claude Code details can change with installed versions.

Use this Claude Code skill to review a Git diff or selected files through OpenRouter. Findings must include matching verbatim quotes, and confirmed fixes can be applied directly. It chooses usable free models from the catalog, falls back to a low-cost model when needed, and requires an OpenRouter API key.

Mobile Design guides agents from information architecture through implementation and review for React Native, Expo, iOS, and Android. Its mobile-first checklist combines navigation, forms, platform conventions, accessibility, touch and gesture behavior, safe areas, haptics, and motion preferences. It is useful for redesigning mobile flows or turning a rough product idea into native interactions, not for generic desktop web work.

ToolRAG registers tools from MCP servers, embeds their descriptions, and uses semantic retrieval to select the functions relevant to a user query. The selected definitions can be passed in an OpenAI-compatible format and executed against the corresponding servers, while LibSQL stores the tool index and embeddings. It is aimed at assistants that need access to many APIs without sending every tool definition on every request.

Use this Claude Code skill to review interfaces against WCAG, implement accessible component patterns, and plan keyboard or screen-reader testing. Its searchable reference databases and Python query tool cover standards, ARIA behavior, assistive technologies, legal frameworks, and CI templates, making it useful from design handoff through automated release checks.

Ontocraft chains discovery, modeling plans, and implementation to turn a domain brief and competency questions into reviewed Turtle artifacts. Its implementation phase runs syntax, OWL-RL, SHACL, and lint checks before an independent reviewer examines modeling pitfalls, design principles, fairness, quality, and question coverage; an optional skill creates a self-contained offline HTML viewer.