Start with the job, then find an open-source answer

claude-github-launch turns a trigger phrase into a guided GitHub launch: it checks authentication and secrets, reads the project, creates plugin and CI structure, generates a social preview, writes a landing-page README, and adds changelog, license, and ignore files. It can then set topics, labels, Discussions, and a release, followed by ready-to-paste copy for Reddit, X, Hacker News, and an awesome list. Existing skill content and environment files are protected, and a secret scan stops the process when needed.

teach-me-a-lesson helps complete beginners understand Claude, AI tools, and programming through one clear analogy at a time. It combines explanation with blame-free troubleshooting, can save knowledge notes, flag wasted context, and adapt its language and tone. While you work, it warns about risky commands, exposed keys, and irreversible actions without deciding for you. Personal knowledge files are optional.

github-growth-check turns GitHub traffic metadata into a diagnostic brief that tells you whether a repository is growing, flat, or simply past its launch spike—and what to do next. It compares traffic, clones, referrers, popular paths, and stars using source-specific benchmarks, excludes the API’s latest reporting lag, and stores snapshots for longer history. It is read-only and requires an authenticated GitHub CLI with access to the target repository.

superhacker-skill accepts one security objective and routes it to exactly one of 14 focused reference areas, ranging from web and API security to cloud, identity, incident response, forensics, and passive clue discovery. Only the selected guide is loaded, keeping the working context narrow instead of dumping every technique at once. The authorization gate is mandatory: use is limited to systems you own or explicitly have permission to test.

Review organizes a medical course folder by matching the syllabus, teaching calendar, and lecture slides chapter by chapter, then produces exhaustive Markdown and HTML notes with optional Anki cards and a Mermaid map. Numerical values and procedural steps stay verbatim, while missing or conflicting material is marked rather than filled in. Its cross-checking workflow has been used for surgery, preventive medicine, and anesthesiology; the local install needs the listed PDF, Office, and spreadsheet parsers.

SE Ranking Analyst resolves the tracked project and uses dates that actually exist before comparing rankings, AI-search mentions, backlinks, and site-check findings. It reports current-minus-baseline changes in words, distinguishes real no-data periods from guesses, and ends with prioritized actions and data notes. The skill works through the SE Ranking MCP connector or API and consumes the user’s account credits; it is useful for agencies, in-house teams, and consultants who need repeatable client reports.

kb-with-receipts turns scattered product documents, design files, and tutorial videos into a Markdown knowledge base with file-and-section citations, then feeds it to a no-code Q&A tool and a reusable agent skill. Its method preserves numbers and rules verbatim, tags every section, lets newer material supersede older versions with a note, and runs question-based QA plus integrity checks. It is tool-agnostic, but the source material still needs domain experts to catch drafts or unbuilt ideas.

hardEningCLOUD_byDM20911 turns cloud inventory, CIS checks, and approval-gated remediation into one auditable hardening workflow. It records evidence for each finding, compares posture before and after changes, and applies anti-lockout checks before any write. The same method is packaged for Claude, Gemini, Codex, and local models; use it only on accounts or client environments you are authorized to assess.

human-review-site is a recipe and kit for propose-before-apply workflows. It serves a bespoke HTML page privately on localhost or a Tailscale tailnet, lets a person review many independent decisions, and exports one standard JSON envelope through the clipboard so the agent can apply only accepted items. Decisions persist in localStorage and the agent must test transport and rendering before presenting the URL. The examples use plain HTML, CSS, and JavaScript without a build step.

Design Assets Index gives an agent a navigable catalog of external sources for stock photos, icons, fonts, color palettes, mockups, UI kits, and templates. The main skill offers a few picks per category and points to fuller Markdown lists that load only when needed. It is deliberately a link-and-note resource index rather than a design tutorial, and users still need to check each source’s availability and license.

Design Tools Index points agents to external tools across color, graphic assets, UI and wireframing, prototyping, animation, handoff, accessibility, research, collaboration, and design systems. Its dispatch file shows a few top picks and loads the complete category lists only when needed. This is navigation rather than instruction, curated from the Awesome Design Tools collection; the original list remains broader and may be updated more often.

Design Systems Index helps an agent find mature systems to study or adopt, covering major company libraries, design-token resources, pattern libraries, and React or React Native component collections. The main file dispatches to a few picks and category references rather than teaching token architecture or duplicating a local design-system method. Its links are curated from two community lists, so they are a starting point for selection, not a substitute for checking the current source.

iOS Motion Patterns Index catalogs runnable Swift animation examples for menus, transitions, indicators, alerts, tables, collection views, and UI controls. Its dispatch file gives a few representative links and sends the agent to fuller category lists only when needed. The project intentionally complements animation how-to skills rather than duplicating them: use it when you need working code for a swipe-to-delete card or custom transition, not general theory.

METAR & TAF Decoder parses aviation weather reports field by field, covering US/FAA, international, and military conventions. It resolves the ICAO station, explains wind, visibility, runway range, weather, cloud layers, temperature, pressure, remarks, and forecast changes, then converts the result to local time and readable units. The default output combines a plain-language decode with a Discord-ready block; the timezone and temperature preferences are configurable, and ACARS or VDL2 are not supported.

Frequent-Flyer Advisor asks three to six questions about a trip, ranks three airline-mile options, and produces a 1080×1440 shareable savings card plus a full HTML strategy report. Its bundled knowledge base covers 53 programs with dated sources, and savings are calculated against real cash fares while the cents-per-point value stays internal. The generator runs offline with no third-party dependencies, but program rules and prices should be checked against official pages before use.

git-finder searches for repositories that fit a stated project need, fetches the candidates, and checks their license, maintenance activity, and actual architecture before recommending three or four foundations. The report includes a primary choice, a fallback, and a quickstart showing installation and real API usage. It never invents names, URLs, statistics, or structure, treats permissive licensing as a hard gate, and does not write application code unless you ask after the validation.

skill-steward manages a Claude Code skill collection through three layers: a read-only loader that finds the right pack, a coordinator that audits and moves skills, and a synchronizer for cc-switch drift and repairs. Packs are discovered from the filesystem instead of hard-coded domains, and the system uses a small set of Markdown files without external services or databases. It suits installations where a large global skill directory is becoming difficult to navigate.

geo-markdown-mirror identifies important pages in a website or documentation site and creates predictable Markdown mirrors under an /llms/ folder. It flattens JavaScript widgets such as pricing sliders, tabs, and accordions into readable tables, generates an llms.txt index, and can add alternate links or ask-AI buttons. The skill supports Next.js, Docusaurus, Vite, and static HTML, with a regeneration script to keep mirrors aligned as pages change.