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Found 10,826 Skills
Collect product variant data from any ecommerce page — options, colors, sizes, prices, availability. Use when the user needs variant-level data across a product.
Collect following lists from Instagram — usernames the account follows, profiles, bios. Use when the user wants to map who an account follows or export following lists.
Collect leads from Twitter/X search results — profile names, bios, follower counts, websites, contact signals. Use when the user wants to find accounts discussing a relevant topic.
UI density — how much information and how many features appear at once — should match the primary platform and user type. Desktop supports dense, feature-rich interfaces; mobile requires focused, reduced layouts. Enterprise power users tolerate higher density than occasional users. Use when designing data tables, dashboards, toolbars, or adapting a desktop product for mobile.
Guided journey from an app idea to a deliberate architecture: boundaries, domain model, data decisions, and resilience, making only the expensive-to-reverse decisions and deferring the rest. Orchestrates eight skills phase by phase - clean-architecture, domain-driven-design, system-design, ddia-systems, software-design-philosophy, release-it, pragmatic-programmer, 37signals-way - asking the user questions at every decision point and recording results in the project docs/ folder (ARCHITECTURE.md, RELIABILITY.md, DESIGN-CODE-ARCHITECTURE-PLAN.md) so the journey resumes across sessions. Use when the user wants to design a new app's architecture, choose boundaries and a domain model before building, decide monolith versus microservices, or says 'how should I structure this app'. If a codebase already exists, use remove-technical-debt (aged) or improve-code-quality (fresh prototype); if the idea is not validated, run create-business or create-app first. For one framework in isolation, invoke that skill directly.
Use quando o usuário esqueceu algo, quer adicionar, remover, corrigir ou mudar um pedido em uma spec existente que já foi definida, planejada, está sendo implementada ou foi concluída. Use também quando uma transição automática detectar mudança tardia de comportamento, escopo, aceite, dados, segurança ou plano. Atualiza a fonte normativa, invalida somente os gates afetados e coordena a retomada; para criar a spec inicial use specsfy-03-specify, para decidir uma ambiguidade use specsfy-02-backlog e para implementar use specsfy-07-implement.
Use for software supply-chain security assessment covering SBOM, SCA, CI/CD pipelines, container images, build integrity, dependency provenance, and vulnerability reachability.
Answer natural-language questions about a user's OpenRouter usage data — spend, request volume, model breakdown, latency, token usage, and cost optimization. Use when the user asks about their API usage, billing, costs, top models, traffic patterns, or wants to optimize their OpenRouter spend.
Identifies which items (pages, campaigns, products, channels, regions) had the biggest increases or decreases for a key metric between two time periods. Use this skill when someone asks "what's up and what's down," "which campaigns moved the most," "top gainers and losers," "what pages are trending," "show me what changed by channel," or any variation of identifying the biggest movers and decliners for a metric.
World Cup match prediction and pre-match intel for football (soccer) fans: predict who will win and a likely scoreline, backed by structured, verifiable evidence -- player profiles, squad dossiers, current form, head-to-head records, and past-tournament history -- using AnyCap web search and crawl. Weighs FIFA ranking, recent form, head-to-head, and key players, plus any user-defined dimensions (home advantage, injuries, rest, weather, vibes), then makes a clearly-labeled for-fun call with a confidence level and a mandatory disclaimer. Built on the 'search less, not faster' strategy: narrow the search space first, retrieve only what matters, then verify against authoritative sources. Use when a fan wants a World Cup match prediction, predicted score, or who-will-win call; wants a player's profile, bio, form, or stats; wants a full World Cup squad or national-team lineup table; wants to size up two teams before a match; or wants head-to-head and past World Cup context. Trigger on: World Cup prediction, predict the score, who will win, match prediction, predicted scoreline, World Cup, World Cup squad, national team lineup, pre-match analysis, matchup, player form, footballer stats, player profile, head-to-head, or scout a team.
Concise communication mode. Cuts ~60-70% of output tokens while keeping natural, readable English. Drops filler, hedging, and pleasantries but maintains grammar and sentence flow. Elaborate on request -- ask for detail and get it, then auto-return to concise. Use when user says "concise mode", "be concise", "less verbose", or invokes /concise. Also triggers when user requests token efficiency with readability.
Analyzes and designs batch and streaming data pipelines with contracts, lineage, reliability, and cost controls. Use for ingestion and transformation systems. NOT for ad-hoc analysis or schema design.