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Found 9,795 Skills
Build AI agents with structured access to Sanity content via Sanity Context. Use when setting up a Sanity-powered chatbot, connecting an AI assistant to Sanity content, or adding client-side tools to an agent. Covers Studio setup, agent implementation, and advanced patterns. Always use this skill when users mention building a chatbot with Sanity, creating an AI assistant for their content, setting up the Sanity Context MCP server, integrating Sanity with Claude/GPT/any LLM, making content searchable by AI, implementing semantic search over Sanity data, or connecting their CMS to an AI agent.
Measure whether a repository's AI instructions still earn their place, by running the same real task many times with the layer intact and with it stripped, then grading every rule against what actually changed. Runs both arms itself in throwaway git worktrees and never touches the working tree. Agent-agnostic across CLAUDE.md, AGENTS.md, .claude/, .agents/, .cursor/rules, .clinerules, .windsurfrules and copilot-instructions. Use when the user wants to prune, audit, clean up, shrink or "delete" their CLAUDE.md, AGENTS.md, cursor rules, agent instructions or AI layer; when they ask whether their rules are still needed, whether their context is bloated, or what to cut; or when they mention ablating, ablation, or testing their agent without its instructions.
When data has both a tabular/list representation and a visual representation, show both simultaneously and keep them synchronized. Clicking a row highlights the corresponding element in the visual view, and vice versa. Applies to maps, diagrams, timelines, and charts that accompany a data table. Use when designing any UI where data appears in two different representations at once.
Use FIRST, before any other social media skill, to load or create the brand profile — the durable record of who a business is, who it serves, how it sounds, and what it will and won't say. Run this when the user says "set up my brand," "brand profile," "brand guidelines," "define our brand voice," "onboard," "get started," when work begins for a new business or client, or any time another social skill needs brand context that isn't already loaded. Works for ANY business: B2B SaaS, ecommerce, local and small business, agencies and their clients, personal brands and creators, and nonprofits. For writing actual posts, see the content skills; to derive a voice from an existing body of writing, use voice-builder; this skill only builds the shared context they all read.
Social media analytics and reporting — read native platform data honestly and turn it into next actions. Use when someone wants to "check my analytics," "see how my posts are doing," "build a social media report," "which content is working," "what metrics/KPIs should I track," or to turn performance data into next steps. Measures goal-mapped SIGNAL metrics (saves, shares, watch time/retention, engagement-rate-by-reach, follower-growth-rate, CTR, conversions) — not vanity (followers/impressions/likes) — and closes the loop. Uses the METER framework. Reads brand-profile + social-strategy (goals) first. WoopSocial has NO analytics surface, so this reads NATIVE platform dashboards (+ GA4/UTM) and interprets numbers the human provides; it NEVER fabricates a metric. Feeds content-recycling, experimentation, competitor-analysis, and every growth skill. Distinct from goals-and-kpis (sets targets) and experimentation (runs tests).
Guides the agent through connecting an MCP client to the hosted Capawesome MCP server, which exposes always-current Capawesome documentation search and the Capawesome Cloud management API. Covers setup for Claude Code, Claude Desktop, Cursor, and VS Code, API token creation, toolset selection, read-only mode, secret handling, verification, and troubleshooting. Do not use for installing Capacitor plugins, migrating apps or plugins to a newer version, running Capawesome CLI commands, or MCP servers other than Capawesome.
Deploy a Flask/WSGI app to PythonAnywhere free tier — automates webapp creation, code upload, WSGI config, reload, E2E test via MCP. Only CLI tool install needs user's Bash console.
Create or redesign appointment-based service websites for salons, barbers, spas, wellness studios, clinics, and hospitality brands. Use for warm editorial layouts, serif-led identity, documentary portrait crops, calm treatment selectors, location-aware booking, and operational states that remain elegant and trustworthy.
Produce an intensive, cited analytical report: executive summary, multi-angle findings, contrarian views, open questions, and full sources. Use only when the user needs rigorous synthesis of a complex topic (scientific, technical, policy, or market-analytical) that cannot be answered with a short search, and wants a formal written report, not a recommendation list. Do not use for product picks, top-N lists, quick lookups, or routine "find out about X" tasks. If the request does not clearly need this kind of report, do not use this skill. Do not use for a literature review over published papers. This skill collects evidence from the open web. A request for the literature on a biomedical, clinical, life-science, or other scientific topic — papers, studies, trials, preprints — belongs to firecrawl-research-papers, which queries Firecrawl's paper index (PubMed, bioRxiv, medRxiv, arXiv) instead of searching websites.
Frameworks from Kim & Mauborgne for creating uncontested market space and making competition irrelevant. Use when reframing competitive strategy, escaping commoditization, designing a new category, or applying Strategy Canvas, ERRC, Six Paths, Three Tiers of Noncustomers, Buyer Utility Map, or Strategic Sequence. Includes selection-bias caveats and inline decline notes for iconic cases that later collapsed.
Desktop GUI and CLI app for running and monitoring Quip Network nodes, built with Tauri v2 and Rust
Design and evaluate vaccine candidates using computational immunology tools. Covers epitope prediction (MHC-I/II binding via IEDB), population coverage analysis, antigen selection, adjuvant matching, and immunogenicity assessment. Integrates IEDB for epitope prediction, UniProt for antigen sequences, PDB/AlphaFold for structural epitopes, BVBRC for pathogen proteomes, and literature for clinical precedent. Use when asked about vaccine design, epitope prediction, immunogenicity, MHC binding, T-cell epitopes, B-cell epitopes, or population coverage for vaccine candidates.