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Found 1,292 Skills
Apply when connecting React components to Store Framework blocks and render-runtime behavior in VTEX IO. Covers interfaces.json, block registration, block composition, and how storefront components become configurable theme blocks. Use for block mapping, theme integration, or reviewing whether a React component is correctly exposed to Store Framework.
Apply when designing, or implementing a Payment Connector in VTEX IO. Covers PPF implementation in VTEX IO, use of secure proxy, manifest and other PPP routes exposure and clients definitions. Use for any implementation of a Payment Connector hosted in VTEX IO.
Use this skill whenever the user wants to work with survey data using the `survy` Python library. Triggers include: loading or reading survey CSV/Excel/JSON/SPSS files, handling multiselect (multi-choice) questions, computing frequency tables or crosstabs, exporting survey data to SPSS (.sav) or other formats, updating variable labels or value indices, transforming survey data between wide/compact formats, filtering respondents, replacing values, adding/dropping/sorting variables, or any task involving survy's API (read_csv, read_excel, read_json, read_polars, read_spss, crosstab, survey["Q1"], to_spss, to_csv, to_excel, to_json, etc.). Also trigger when the user says things like "analyze my survey", "process questionnaire data", "build a survey analysis script", or "help me with survy". Always read this skill before writing any survy code — it contains the correct API, patterns, and gotchas.
Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation. Workflow 1 auto-discovers input shapes and parameters from user source code. Workflow 2 exports PyTorch models to ONNX. Workflow 3 converts ONNX to .om via ATC with multi-CANN version support. Workflow 4 adapts the user's full inference pipeline (preprocessing + model + postprocessing) to run end-to-end on NPU. Workflow 5 verifies precision between ONNX and OM outputs. Workflow 6 generates a reproducible README. Supports any standard PyTorch/ONNX model. Use when converting, testing, or deploying models on Ascend AI processors.
Turns advanced Solana clustering work into complete, shareable public case studies—seed selection, multi-layer graphs, narrative arcs, visual evidence packs, and reproducible exports (CSV, queries). Use when the user wants a Solana rug/Sybil/sniper/phishing case study, X/thread writeup, educational fraud exposé from on-chain data, or timestamped evidence package built from clusters and heuristics.
Portable AI identity system using AIEOS (AI Entity Object Specification) - import, export, and manage agent personas in a standardized JSON format.
[Pragmatic DDD Architecture] Guide for creating PostgreSQL tables and defining relations using Drizzle ORM. Use when creating new schemas, managing PostgreSQL indexes, enums, mapping column names to camelCase for the domain, and explicitly exporting constraint names.
cuTile Python DSL kernel implementation patterns, CtKernel runtime wrapper, suitability gate, and cuTile-specific pitfalls. Use when: (1) creating or modifying a cuTile Python DSL kernel version, (2) implementing an optimization that still fits within cuTile's exposed control surface, (3) deciding whether cuTile is still the right DSL, (4) reviewing cuTile-specific runtime patterns. Always also load /design-kernel for shared naming, versioning, and workflow.
Help users get started with ZenTao and zentao-cli in a casual chat-based way. Let users follow their roles (Product Manager/Project Manager/Tester/Developer/Executive) to explore and practice in a real ZenTao environment, and get familiar with the CRUD operations and status transitions of modules such as Product, Requirement, Plan, Task, Bug, and Test Case. This skill is used when users are first exposed to ZenTao, want to get started with zentao-cli, hope to learn what ZenTao can do, or explicitly ask "Show me around ZenTao/Give me a ZenTao tour/Experience ZenTao".
Omi AI wearable platform help — open-source AI necklace for all-day conversation capture (in-person + online meetings), Developer API (`api.omi.me/v1/dev`, Bearer token, 100 req/min), app marketplace with webhook integrations, memories/conversations/action-items endpoints. Use when setting up an Omi wearable for meeting capture, building a custom Omi app or integration, troubleshooting Bluetooth disconnects or transcription accuracy, connecting Omi to Slack or CRM via webhooks, comparing Omi to Plaud or Limitless for in-person recording, or accessing Omi's API to export conversations and action items. Do NOT use for choosing between software-only note-takers without wearable needs (use /sales-note-taker).
Use this skill when the user asks to call an authenticated HTTP API (for example "call the GitHub/OpenAI/Slack API", "hit an endpoint that needs a bearer token") and the `sesame` CLI is already installed on this device. The agent invokes `sesame request`, which forwards the HTTP call through the user's own broker and attaches the auth header server-side. The skill does not install software, does not read credentials from the environment, and runs shell only within the fixed `sesame` subcommand surface (`request`, `status`, `hostnames`, `login`, `refresh`). Skip for unauthenticated public endpoints, localhost services, or when the user has already exported a token in the environment for direct use.
Work with Notion from the terminal using the `notion` CLI. Use when the user needs to read, create, update, query, or manage Notion pages, databases, blocks, comments, users, or files programmatically. Covers the entire Notion API with 44 commands. Triggers: Notion workspace automation, database queries, page creation, block manipulation, comment threads, file uploads, relation management, database export, multi-workspace management, or any Notion API interaction from the command line.