13,613 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Clarity gate for prompts: intercepts unclear requests and forces AI to restate intent to align with the user, then diagnose the root cause and reuse the domain's mature, established practices before proceeding.
★not rated 37 2mo agoA
tokens not measured
originalMIT
Generates Python code that reads, writes, converts, and inspects data files with IterableData (pip install iterabledata; import iterable). Use when opening CSV, JSONL, Parquet, XML, WARC, GeoJSON, or other files; converting formats; streaming large files without pandas; or when the user mentions iterabledata…
End-to-end assistant skill for the Claude on Foundry Starter Kit (Azure-Samples/claude). Walks customers through deploying, verifying, modifying, debugging, and tearing down a Claude model deployment on Microsoft Foundry using either the Bicep or Terraform IaC variant in this repo, with one-command guidance via azd…
Use Microsoft Fabric CLI (fab) to manage workspaces, semantic models, reports, notebooks, lakehouses, and other Fabric resources via file-system metaphor and commands. Use when deploying Fabric items, running jobs, querying data, managing OneLake files, or automating Fabric operations. Invoke this skill automatically…
Create a Collibra Data Product from an existing physical table (name, UUID, or URL). Discovers related tables, checks for overlap, collects governance metadata, proposes the full set of assets, and after one explicit confirmation creates the Data Product, a Port, and a Data Contract.
A code analysis and retrieval system that combines graph databases, vector search, and LLMs to understand and query codebases through natural language. Runs locally from the graphsense npm package.
★not rated 35 1y agoA
tokens not measured
originalMIT
Generates a complete, professional client onboarding package for AI consultants, AI auditors, and solopreneurs working in the AI space (AI strategy, automation, AI readiness audits, implementation, training, etc.). Use this skill whenever a user asks to onboard a new client, set up a client folder, write a welcome…
FlowLLM repository development guidance. Use when working in the flowllm codebase to implement, debug, test, review, or document FlowLLM runtime behavior, including CLI/client calls, services, application wiring, jobs, steps, components, configuration, streaming, registry registration, and tests.
Search and retrieve AI prompts from prompts.chat, the social platform for AI prompts. Runs locally from the @fkadev/prompts.chat-mcp npm package. Needs 2 environment variables to run.
A connection between Python strategy files and TdxQuant, TongdaXin's platform for securities data analysis and quantitative investment research. It uses the platform's tqcenter.py module to interact with the TongdaXin client.
Guidance for an AI agent to enrich an Open Knowledge Format (OKF) bundle with high-quality concept descriptions using its own LLM — grounded in the bundle's schema, data profile, and samples — then optionally sync them back to the source. Use when an OKF bundle has missing, weak, or low-quality descriptions that…
Use when the user wants a real data analysis on a dataset — finding what drives a metric, testing whether a difference is real, building a predictive model, reducing many variables to a few, or interpreting what numbers mean for the business. Trigger phrases include "analyze this data", "what drives X", "is this…
dbt quality tooling for Snowflake: a project-wide anti-pattern audit that produces an HTML quality assessment with prioritised remediation, and per-file validation on save. Covers project fragmentation, truncate/delete-load instead of incremental models, subqueries that should be CTEs or ephemeral models, macro over…
★not rated 33 25d agoA
tokens not measured
originalApache-2.0
🤖 AI Engineer — AI Engineer + LLM Systems Specialist.
★not rated 33▲
+2 2mo agoA
tokens not measured
originalApache-2.0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: