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Found 2,166 Skills
This guide covers the design philosophy, core concepts, and practical usage of the AgentScope framework. Use this skill whenever the user wants to do anything with the AgentScope (Python) library. This includes building agent applications using AgentScope, answering questions about AgentScope, looking for guidance on how to use AgentScope, searching for examples or specific information (functions/classes/modules).
Write, debug, and optimize Triton and Gluon GPU kernels using local source code, tutorials, and kernel references. Use when the user mentions Triton, Gluon, tl.load, tl.store, tl.dot, triton.jit, gluon.jit, wgmma, tcgen05, TMA, tensor descriptor, persistent kernel, warp specialization, fused attention, matmul kernel, kernel fusion, tl.program_id, triton autotune, MXFP, FP8, FP4, block-scaled matmul, SwiGLU, top-k, or asks about writing GPU kernels in Python.
Post-process raw screen recordings by removing silent segments and applying speed adjustments. Uses FFmpeg-based Python scripts to optimize video pacing automatically.
Run Python scripts with uv including inline dependencies (PEP 723), temporary dependencies (--with), and ephemeral tool execution. Use when running scripts, needing one-off dependencies, or creating executable Python scripts. No venv activation required.
Authoritative reference for Odoo 19 syntax conventions across Python ORM, XML views, OWL/JavaScript, controllers, manifests, and SCSS. Use this skill BEFORE writing or modifying any Odoo code, whenever the user mentions Odoo, an Odoo module, an Odoo model, an XML view, an OWL component, or any file under an Odoo addons directory. Odoo 19 introduces breaking changes (130 model renames, res.groups privilege refactor, hr.contract→hr.version, models.Constraint, attrs removal continued, type='jsonrpc') that older training data does NOT reflect. Always consult this skill before generating code, even if the request looks routine — a model that "obviously" works in Odoo 18 may be wrong in Odoo 19. Trigger this skill on phrases like "create an Odoo module", "add a field to res.partner", "write a controller", "make an OWL component", "fix this Odoo view", "_sql_constraints", "tree view", or any time you see a `__manifest__.py`, `models/*.py`, `views/*.xml`, or `static/src/**/*.js` file in an Odoo project.
OpenD Installation Assistant. Automatically download and install Futu/moomoo OpenD and upgrade Python SDK. Supports Windows, MacOS, Linux. Automatically activated when users mention installation, download, startup, operation, configuration of OpenD, development environment, SDK upgrade, futu-api.
Shared Python package for Science Skills, currently containing http_client -- a unified HTTP client with rate limiting, retries, and exponential backoff. Not a standalone agent skill. Do not invoke directly.
Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or translating cuTile Python kernels to Julia cuTile.jl, or debugging/optimizing existing Julia cuTile translations.
Use when writing or modifying Python code that imports `genoray` to read genotypes/dosages from VCF, PGEN, or SparseVar (`.svar`) files. Covers the public API surface, mode constants, range queries, chunking, filtering, and the SparseVar workflow. Skip for unrelated bioinformatics work.
Read-only Python utilities for Jira, Confluence, and Bitbucket integration. Provides read access to issues, search, workflows, pages, pull requests, commit history, and more. Use when users need to query Atlassian products like "get a Jira issue", "search Confluence pages", "view pull request details", or "get commit history". This variant excludes all write operations for token efficiency and safety.
Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.
Pricing completo de opciones europeas y americanas. 9 metodos: Black-Scholes, Binomial CRR, Trinomial, Monte Carlo (antithetic) + Longstaff-Schwartz, Bjerksund-Stensland 2002 / BAW (American closed-form), Heston 1993 (vol estocastica, sonrisa via Fourier), Bates 1996 (Heston + Merton jumps, crash risk), greeks (BS), implied vol, P(ITM) y P(Profit). Disenado para backtesting: cada funcion es flat Python vectorizado con numpy (sin abstracciones), usa math.erfc (no scipy). BS 2.4 us/op, BS2 3.6 us, Heston 400 us, Binomial N=500 5.6 ms. CLI con 15 modos mas validate y bench. Time complexity O(1) para todos los closed-form.