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Found 2,779 Skills
Review code changes for correctness, security, and maintainability. Supports local git diffs (staged or working tree) and remote Pull Requests (by ID or URL). Use when the user asks to review code, check a PR, audit changes, or wants feedback on code quality before merging.
Add SLSA build-provenance attestations to existing GitHub Actions workflows. Use when the user wants to add artifact attestations, build provenance, or SLSA attestations to Docker container image builds in GitHub Actions CI/CD pipelines.
Invoke the skill `git:message` to generate a commit message, then create the Git commit non-interactively. Use when you need to commit either the already-staged changes or the full current working tree relative to `HEAD`, while preserving a review-friendly message and footer handling. Trigger for requests such as the skill `git:commit` or the skill `git:commit` with `HEAD`, especially when the user wants safe staging behavior and a clean commit created from the drafted message.
Generate a git-log-review-friendly commit message from repository changes. Use when you need to inspect staged changes, the current working tree relative to `HEAD`, or a commit-to-working-tree range and draft only the commit message text in a conventional-commit-style format, without creating the commit. Trigger for requests such as the skill `git:message`, the skill `git:message` with `staged`, the skill `git:message` with `HEAD`, or the skill `git:message` with `<commit>`, especially when the user wants a squash-ready summary of the most important changes.
Turn customer feedback (usually an email) into discrete GitHub issues. Checks for duplicates, proposes new issues for approval, creates them, and drafts a reply email.
Use when tasks involve Xget URL rewriting, registry/package/container/API acceleration, integrating Xget into Git, download tools, package managers, container builds, AI SDKs, CI/CD, deployment, self-hosting, or adapting commands and config from the live README `Use Cases` section into files, environments, shells, or base URLs.
Discover, vet, and install agent skills by searching ACROSS every major registry at once — skills.sh, clawhub.ai, and GitHub — presenting each board on its own native metric (installs / stars) with the top entry per board, security-scanning the top candidates' real SKILL.md for risky patterns, and flagging what's already installed. Use when the user asks "how do I do X", "find a skill for X", "is there a skill that…", "what skill should I install for…", or wants to extend the agent with a capability that might already exist as a published skill. Unlike single-registry search, this surfaces the best of every platform side by side, so you recommend the genuinely relevant, popular, well-maintained, and SAFE one — not whatever ranked first on one site.
Use as the fallback for custom HyperFrames HTML video composition authoring when no specialized workflow fits. Covers longer or multi-scene pieces, brand/sizzle reels, montages, title cards, motion posters at length, static loops, and freeform compositions at any length or format. Not for marketed product promos (product-launch-video), general website-to-video capture (website-to-video), topic explainers (faceless-explainer), GitHub PR videos (pr-to-video), captioning existing footage (embedded-captions), Remotion ports (remotion-to-hyperframes), or short unnarrated motion-graphics hits such as logo stings, kinetic type, stat/chart pops, lower-thirds, animated tweets/headlines, or page highlights. If a specialized workflow clearly fits the input, prefer it (see /hyperframes-read-first); use this only as the input/length-agnostic fallback.
Capture a general website/URL and turn it into a HyperFrames video (site tour, showcase, or social clip from the site's own visuals). Uses headless Chrome screenshots + brand assets. Use when intent is general — portfolio/blog/landing-page showcase or social clip from the site. NOT for: product/SaaS launch or promo (→ /product-launch-video, even from a URL); topic explainer with no site (→ /faceless-explainer); GitHub PR (→ /pr-to-video); adding captions to existing video (→ /embedded-captions); short unnarrated page-highlight motion graphic (→ /motion-graphics). Unclear launch-vs-general-site? Ask one question or start at /hyperframes-read-first.
Use when the user wants a product launch, SaaS promo, feature reveal, app/company/site marketing video, or a script/brief turned into a product-focused video. Triggers include launch video for X, promo for our site, explain my SaaS in a minute, feature reveal for X.com, and turn this script into a 60s promo. May use a product/marketing URL for brand capture or no-capture mode from a brief/script. Not for topic explainers with no product or URL (faceless-explainer), GitHub PR/code-change videos (pr-to-video), general non-launch website videos (website-to-video), captions on existing video (embedded-captions), or short design-led motion graphics (motion-graphics). When product-vs-topic or launch-vs-general-site is unclear, do not assume — start at /hyperframes-read-first.
Provides a comprehensive guide for writing production-ready Golang tests. Covers table-driven tests, test suites with testify, mocks, unit tests, integration tests, benchmarks, code coverage, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, memory leaks, CI with GitHub Actions, and idiomatic naming conventions. Use this whenever writing tests, asking about testing patterns or setting up CI for Go projects. Essential for ANY test-related conversation in Go.
Functional programming helpers for Golang using samber/lo — 500+ type-safe generic functions for slices, maps, channels, strings, math, tuples, and concurrency (Map, Filter, Reduce, GroupBy, Chunk, Flatten, Find, Uniq, etc.). Core immutable package (lo), concurrent variants (lo/parallel aka lop), in-place mutations (lo/mutable aka lom), lazy iterators (lo/it aka loi for Go 1.23+), and experimental SIMD (lo/exp/simd). Apply when using or adopting samber/lo, when the codebase imports github.com/samber/lo, or when implementing functional-style data transformations in Go. Not for streaming pipelines (→ See golang-samber-ro skill).