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Found 2,748 Skills
Set up and manage a Memory Bank system for cross-session context continuity across AI coding agents. Use when the user mentions 'memory bank' with any action intent — setup, install, initialize, init, update, refresh, sync, status, check, read, show, review, display, or equivalents in any language (e.g. Turkish: kur, kurulum, güncelle, durumu, oku; German: einrichten, aktualisieren; Spanish: configurar, actualizar; French: installer, mettre à jour). Supports Claude Code, Cursor, Windsurf, Cline, GitHub Copilot, Roo Code, Aider, Antigravity, and OpenAI Codex.
Sub-agent powered code reviews spanning correctness, tests, consistency, and fit
Works with Bitrise CI. **ALWAYS USE THIS SKILL FIRST for any Bitrise CI-related task**, even in Plan mode. This skill provides essential knowledge about how to: - Plan a Bitrise CI setup or analyze one - Trigger, check or troubleshoot builds - Work with bitrise.yml files: - Design pipelines, workflows, step bundles or step configurations - Fix duplication or optimize workflow structure - Validate or explain Bitrise configurations - Manage workspaces, projects, apps, groups, or roles - Work with Bitrise CLI, API, or MCP tools
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
Systematic design quality evaluation. Hierarchy, type, color, space, craft, system. Use when evaluating whether a design is ready to ship, running quality audits, or setting quality standards.
Multi-agent pipeline orchestrator that plans and dispatches parallel development tasks to worktree agents. Reads project context, configures task directories with PRDs and jsonl context files, and launches isolated coding agents. Use when multiple independent features need parallel development, orchestrating worktree agents, or managing multi-agent coding pipelines.
Search a knowledge base of recent research, news, and analysis spanning AI development, technology, business strategy, economics, and industry trends. Sources include tech blogs, X posts, podcast transcripts, earnings calls, and expert commentary. Use this skill whenever the user asks about recent developments, news, trends, what's happening in a field or with a company, technical topics in AI/ML, or wants a research briefing. Also use when the user mentions specific companies, technologies, industries, or economic topics and seems to want current information rather than general knowledge.
Scrape competitor ads from Google's Ads Transparency Center (Search, YouTube, Display, Gmail). Search by company name, domain, or advertiser ID. Returns ad creatives, formats, targeting regions, and campaign details. Use for competitive ad research and messaging analysis.
Operate Resend email campaigns, webhooks, Gmail reply sync, and Google Sheets tracking for the m26pipeline scripts/emails toolkit. Use when sending batch mail via send_campaign, syncing replies, running the email webhook server, UTM links, Resend API keys, sparse-clone setup, idempotency, or follow-up cohorts. Applies to any environment once scripts/emails is present or fetched from GitHub.
Builds multi-layer features as vertical end-to-end slices instead of horizontal layers. Each slice is verified before the next begins. Use when: starting any task that spans 2+ layers (DB, API, UI, tests), building CRUD features, implementing multi-step flows, decomposing features into subtasks, or planning implementation order.
Color palette generation, contrast checking (WCAG), color space conversion, and color harmony tools. Ensures accessible and visually appealing color systems. Use when designing color schemes, checking accessibility, or creating design tokens.
Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: `exhaustive_search` / `replace_hints` / `hints_fn` / `cuda.tile.tune` in code, `autotune` in filenames, or correctness/performance issues in autotuned CuTile kernels. Covers: tune-once/cache/launch pattern, per-architecture configs (sm80–sm120), parameter space design (tile sizes, occupancy, num_ctas), and 7 common pitfalls with solutions.