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Found 443 Skills
Interact with GitLab via the glab CLI. Supports five MR workflows — Read (summarize), Review (full code/security/QA review), Fix (review + implement), CI Fix (fix pipeline failures), and Feedback (address review comments). Trigger whenever the user provides a GitLab MR URL or says anything like "อ่าน MR", "ดู MR", "check MR", "review MR", "ช่วย review MR นี้", "ตรวจ MR", "แก้ตาม MR", "fix MR", "fix CI", "fix pipeline", "แก้ pipeline", "แก้ตาม comment", "แก้ตาม feedback", "address feedback", or just pastes a GitLab MR URL. Also supports listing MRs, viewing MR status, checking CI/CD pipelines, approving MRs, and other glab operations. Trigger on "check pipeline", "list open MRs", "pipeline failed", or any GitLab-related task.
Generates detailed, architect-quality GitHub issues from short instructions. Analyzes the project's actual stack, architecture, and codebase before writing. Detects duplicate issues with intelligent multi-strategy search, validates and creates labels, enforces title conventions, controls scope, and publishes via `gh` CLI with robust error handling. Use this skill whenever the user wants to create a GitHub issue, report a bug, propose a feature, request a refactor, or file any kind of technical issue — even if they just say something brief like "we need to fix the auth flow" or "create an issue for X". Also triggers on: "open an issue", "file a bug", "I want to propose...", "add this to the backlog", "gh issue", or any request that implies creating a trackable work item on GitHub.
Use this skill when working with game balancing - economy design, difficulty curves, progression systems, reward schedules, playtesting analysis, or tuning game parameters. Triggers on any game design task involving resource sinks and faucets, XP curves, loot tables, difficulty scaling, player retention mechanics, or interpreting playtest data to adjust game feel.
Prioritization frameworks — RICE, WSJF, ICE, MoSCoW, and opportunity cost scoring for backlog ranking. Use when prioritizing features, comparing initiatives, justifying roadmap decisions, or evaluating trade-offs between competing work items.
Build with Surf pay-per-use APIs at surf.cascade.fyi. Twitter data, Reddit data, web search/crawl, and LLM inference - no signup, no API keys, just pay per call. Use when working with Surf endpoints, fetching Twitter/X data, Reddit data, web crawling/search, pay-per-request LLM inference, setting up x402-proxy or @x402/fetch with Surf, or any mention of surf.cascade.fyi. Triggers on surf, surf.cascade.fyi, surf API, twitter data, reddit data, web crawl, surf inference, x402 endpoints, MCP surf tools.
Reviews codebases, architectures, PRs, and technical plans for vanity engineering — code and systems built for the developer's ego, resume, or intellectual pleasure rather than delivering user or business value. Triggers on: "review this code", "is this over-engineered", "code review", "architecture review", "complexity audit", "vanity check", "is this necessary", "simplify this", "tech debt review", or any request to evaluate whether code or architecture is justified by actual requirements. Also trigger when the user shares a codebase and asks for feedback, when discussing framework/library choices, when reviewing PRs, or when someone is debating whether to refactor or rebuild. Nudge activation when you detect patterns of unnecessary abstraction, premature optimization, or resume-driven technology choices in code the user shares — even if they haven't asked for a vanity review.
Generate and edit images using Google's Gemini image models (Nano Banana 2 default, Nano Banana Pro legacy). Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image, image editing with up to 14 reference images, configurable resolution (0.5K-4K), aspect ratio, and adjustable thinking. DO NOT read the image file first - use this skill directly with the --input-image parameter.
Automate the full release lifecycle — version bump, changelog, README update, git tag, GitHub release, and PyPI/npm publishing. Use this skill whenever the user wants to cut a release, bump a version, tag and push, create a GitHub release, generate release notes or a changelog, publish to PyPI or npm, or asks what changed since the last release. Even if the user just says ship it, make a release, or tag this version — this skill should handle it. Don't use for routine commit/push, opening PRs, or publishing to VS Code Marketplace/App Store (use the dedicated skills).
Single-page SEO audit: deep content quality evaluation using Google's E-E-A-T framework, Helpful Content guidelines, on-page SEO factors, search intent alignment, technical signals, and readability analysis. Fetches GSC performance data for that specific page, crawls the live HTML, evaluates metadata, schema markup, internal linking, content depth, and produces a scored report with actionable fixes. Use this skill whenever the user wants to analyze a specific page or URL — not the whole site. Trigger on: "analyze this page", "audit this URL", "how is this page doing", "evaluate my blog post", "check this landing page", "page SEO", "content quality check", "is this page good enough", "review this page's SEO", "what's wrong with this page", "how can I improve this page", "page analysis", "single page audit", "content audit for [URL]", or any request that names a specific URL/page for SEO evaluation. If the user provides a specific URL (not just a domain), this is likely the right skill — use /seo-analysis for full-site audits instead.
When the user wants to design, launch, or optimize a referral or affiliate program. Use when they mention 'referral program,' 'affiliate program,' 'word of mouth,' 'refer a friend,' 'incentive program,' 'customer referrals,' 'brand ambassador,' 'partner program,' 'referral link,' or 'growth through referrals.' Covers program mechanics, incentive design, and optimization — not just the idea of referrals but the actual system.
Place / cancel / query HTX USDT-M futures orders; adjust leverage and position mode; set trigger and TP/SL strategy orders. HIGH RISK — all write operations require explicit user confirmation.
Update an existing work item with status changes, effort tracking, test results, and related commits. Use when progressing work, recording test results, or adjusting estimates. Supports: (1) Status transitions (not_started → in_progress → testing → completed), (2) Feature branch creation and sync, (3) Automatic PR creation on testing transition, (4) Effort tracking (estimated_hours → actual_hours), (5) Test and commit tracking, (6) Dependency updates and notes