agent-core
claudecodexSkills for building with Fused: end-to-end project authoring, the fused CLI, execution, verification, and storage.
8 skills
Skills for the legacy Fused workbench SDK CLI (`fused workbench …`): canvas.toml format, JSON UI widget schemas, HTML template nodes (window.fused), UDFs, H3 ingestion (fused.h3), runtime packages, integrations, and the workbench CLI.
Plugin workbench from marketplace fused-marketplace in fusedio/skills. Commands read from the repo's manifest — today.
canvas-commentsUse when a Fused canvas.toml contains (or needs) a [[canvas.comments]] block — e.g. the user asks to check/fix/resolve canvas comments, review feedback pins on a canvas, or leave comments on a canvas for someone else. Covers reading, writing, and resolving comments via the fused CLI pull/push workfl
canvas-tomlFormat reference for `canvas.toml` files that define a Fused canvas (nodes, edges, viewport) plus the surrounding folder layout (`{udfName}.py`, `.json`, `.md`, `.html`, `_shared.fused`). Use when creating, editing, or validating any `canvas.toml`, adding/removing UDF nodes, wiring edges, defining f
fused-betaCall the team-built `fused.beta` methods — UDFs the Fused team wrote whose code stays on Fused's servers and whose calls run there — from Python (`fused.beta.{canvas}.{udf}(...)` or `fused.beta("canvas", "udf", ...)`), the CLI, or over HTTP (`POST /v1/tasks/run` with `task: "beta.run"`, user or serv
fused-h3Ingest data into H3 hex datasets and query them with the `fused.h3` API. Covers partitioning points, geometries, gridded rasters (ERA5-style) or tables that already carry an H3 column into hex-sorted Parquet as server-side runs, checking a large or messy Parquet folder first with `fused.h3.inspect`,
fused-integrationsReference for using Fused's built-in integration connections inside UDFs. Covers data sources (Snowflake, BigQuery, GCS, S3, Airtable, Notion, Google Drive), compute/inference providers (Modal, Hugging Face, Baseten, Daytona, ComfyOrg, Slack), and LLM providers (Anthropic, OpenAI) — the fused.api co
fused-overviewOrientation to what Fused is and when to use it. Use when deciding whether to use Fused for a task, planning a new Fused project, or understanding Fused's capabilities as a remote Python execution platform.
fused-runtimeWhat a Fused UDF can import and shell out to at run time — the Python packages and versions in the realtime and batch images, system binaries, DuckDB extensions, and how to get a package that isn't installed. Use before importing a library in a UDF, when a UDF fails with ModuleNotFoundError or a ver
fused-udfsComprehensive guide for writing Fused User Defined Functions (UDFs). Use when helping users create, optimize, or debug UDFs, including function structure, parameter handling, performance optimization, agent-friendly design, and security best practices.
fused-workbench-cliReference for the legacy Fused Python SDK command line interface, now namespaced under `fused workbench`. Use when the user asks how to run, push, share, or otherwise manage UDFs, canvases, files, or secrets via the Fused workbench CLI, or when authoring shell commands that invoke `fused workbench`.
html-template-nodesAuthoring reference for Fused canvas HTML template nodes, the `.html` file in a canvas folder that renders as a sandboxed iframe with `window.fused` (`fused.params`, `fused.runPython`, `fused.query`) and `$param` / `{{udf}}` substitution. Use when creating, editing, debugging, wiring, or sharing an
json-ui-schemasJSON schemas for Fused canvas UI widget components (text, text-input, button, dropdown, charts, maps, sql-table, form, transformer, etc.). Use when authoring or editing widget JSON files (e.g. `widget_*.json` in canvas directories), validating widget props, or answering questions about which fields
Skills for building with Fused: end-to-end project authoring, the fused CLI, execution, verification, and storage.
8 skills
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Claude Skills for Obsidian
6 skills
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Install the "AAS Data Analytics & Business Intelligence" workflow plugin from Agentic Awesome Skills.
16 skills
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.