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Found 300 Skills
UX execution and review skill for user-facing product work. Use for UI/UX reviews, frontend screens/components, forms and validation, product copy/microcopy, onboarding, dashboards, accessibility, error/empty/loading states, permissions, consent, billing, sharing, AI output, automation, and destructive actions. Stay quiet for backend-only logic, infrastructure, data plumbing, or work with no user-visible behavior.
Wang Jianshuo's thinking framework and expression style. Based on 7 in-depth researches (about 1 million words of English blogs + about 1.09 million words of Chinese blogs, 2002–2022, all first-hand), 7 core mental models, 10 decision-making heuristics and a complete bilingual expression DNA are extracted. Purpose: Write, respond and think from Wang Jianshuo's identity and voice—he is plain, sincere and curious, loves to use everyday metaphors and self-created words, repeatedly builds ladders between the concrete and the abstract, and never writes anything he hasn't personally verified. Activate when users mention phrases like "from Wang Jianshuo's perspective", "what would Wang Jianshuo think", "Wang Jianshuo's mode", "write like Wang Jianshuo", "Jian Shuo Wang perspective", "switch to Wang Jianshuo". It should also be triggered even if users only say "help me think from Wang Jianshuo's angle" or "how would Wang Jianshuo write this article". Once activated, all subsequent responses in this conversation will maintain Wang Jianshuo's identity until the user explicitly says "exit"—no need to name him repeatedly in each round. Inapplicable scenarios: When users ask for objective introductions or factual inquiries about Wang Jianshuo himself (such as "Who is Wang Jianshuo" or "When did he start his business"), answer such questions normally without entering role-playing.
Update LLM prices in the repo: Use this skill to snapshot live LLM pricing into a checked-in file so billing or cost math can run offline with deterministic rates. Use for any language or stack (TypeScript, Python, Go, JSON registries, etc.) — not only typescript. Use when the user wants pinned prices, wants to remove a runtime dependency on the Narev API, wants to refresh a committed pricing file, or mentions "snapshot pricing", "freeze prices", "pin model rates", "regenerate pricing file", "update pricing in the repo", or "sync token pricing from Narev".
Use whenever you need to contact someone by email and get their answer back, especially to unblock yourself. PROACTIVELY, and you can usually do this without asking the user first: you are stuck on a tool, library, API, or service and its docs, README, footer, or llms.txt list a help@, support@, dev@, docs@, or agent@ address; you hit a bug or surprising behavior worth reporting to the vendor; you have a question only the product owner or maintainer can answer; you want to ask a vendor's support or dev agent something the same way you would grep their docs. REACTIVELY: the user gave you a mailto link or a contact address, or asked you to email, message, or "ask them" and report back. This sends YOUR outbound message and waits for the threaded reply in one step, so reach for it when you are the one initiating contact (addresses with human side effects like sales@, billing@, or account@ should be surfaced to the user first). No SMTP, no API keys, no mail server. To instead receive mail that a website or service sends to you (signup confirmations, verification codes), use the primitive-inbox skill. Gets a free `*.primitive.email` address via `primitive agent start-agent-signup` if you do not already have one. Part of the Primitive CLI (Primitive, primitivedotdev, primitive.dev; the `primitive` or `prim` command).
Issue, cancel, and fetch Hungarian invoices via the szamlazz.hu Agent API. Handles VAT calculation, NAV taxpayer lookup, partner caching, and PDF generation. Use when the user mentions számla, számlázás, invoice, sztornó, díjbekérő, proforma, or wants to bill a customer.
Build Shopify apps, extensions, themes using GraphQL Admin API, Shopify CLI, Polaris UI, and Liquid. TRIGGER: "shopify", "shopify app", "checkout extension", "admin extension", "POS extension", "shopify theme", "liquid template", "polaris", "shopify graphql", "shopify webhook", "shopify billing", "app subscription", "metafields", "shopify functions"
Receive and verify Chargebee webhooks. Use when setting up Chargebee webhook handlers, debugging Basic Auth verification, or handling subscription billing events.
Comprehensive software development planning and implementation skill. Triggers when: Creating new Python software with CLI/GUI/Web interfaces, planning software architecture and modules, designing scientific or engineering applications, setting up bilingual documentation and PyPI publishing, or needing academic research-based feature design. Capabilities: Pre-development planning and research, multi-interface design (CLI + PySide6 GUI + Flask Web), scientific visualization with pyqtgraph, academic literature-based feature design, sample data and test documentation generation, bilingual README with structured sections, GPLv3 licensing and PyPI publishing setup.
Use when setting up Commet webhook endpoints, verifying signatures, handling billing events (subscription.created, subscription.activated, subscription.canceled, subscription.updated, payment.received, payment.failed, invoice.created), or building event-driven billing workflows.
Tracks cumulative LLM costs across DAG execution and makes real-time decisions to stay within budget. Downgrades models, skips optional nodes, or stops early when cost exceeds thresholds. Use when managing execution budgets, analyzing cost breakdowns, or optimizing model routing for cost. Activate on "cost budget", "too expensive", "reduce cost", "cost optimization", "model downgrade", "budget exceeded". NOT for LLM model selection logic (use llm-router), pricing comparisons across providers, or billing/invoicing.
Image Generation Skill: Use this skill when users need to generate images, visual infographics, create graphics, or edit/modify/adjust existing images. Based on the official formal version of the ChatGPT Image 2 model (gpt-image-2) from Apiyi Platform (https://api.apiyi.com/). This model supports precise size/quality control (including 4K) and is billed by token. Key differences from gpt-image-2-all (official reverse version): Uses /v1/images/generations and /v1/images/edits endpoints; Has explicit size parameter; Has quality parameter; Billed by token; Uses multipart/form-data to upload reference images; b64_json is pure base64 without prefix.
Autonomous payment processing specialist that executes vendor payments, contractor invoices, and recurring bills across any payment rail — crypto, fiat, stablecoins. Integrates with AI agent workflows via tool calls.