3,841 mods tagged Python that install into Codex, measured the same four ways as everything else here: what each costs in tokens on every session, what a security scan found and why, whether it is the original, and what changed.
Systematic methodology and concrete tool recipes for debugging Unix, Python, and PyTorch programs - crashes, hangs, segfaults, wrong output, CUDA OOM, NaN/Inf, slowness, and multi-node/multi-GPU issues. Use when a program crashes, hangs, deadlocks, segfaults, runs out of memory (OOM), produces NaN/Inf or wrong…
Telegram Bot skill for sending and editing Telegram messages via Bot API. Use when Bub needs to: (1) Send a message to a Telegram user/group/channel, (2) Reply to a specific Telegram message with replytomessageid, (3) Edit an existing Telegram message, or (4) Push proactive Telegram notifications. Prefer rich…
Prepare an evidence-backed blog/media interview preparation brief for a specified person by researching public context, reflecting on information sufficiency, and writing the final Markdown deliverable.
Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.
Skill for searching and evolving the SQLite-backed Knowledge Graph. Use this when you need structured fact/concept/link search across one or more teams, NPCs, or directory scopes. The Knowledge Graph (KG) is stored in the application's database (not YAML). It is scoped by (teamname, npcname, directorypath). Facts and…
Validates Python application compatibility with AWS Graviton (ARM64) architecture by verifying that every pinned dependency (including transitive) publishes an aarch64 wheel for the project's interpreter, and by checking native extensions, vendored binaries, hash-locked requirements, Dockerfiles and…
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions. Use when an agent must profile and safely prepare uploaded data, turn a real dataset or research question into a reproducible study, investigate drivers without overstating causality, validate a…
Use when helping someone install, configure, or debug a fresh clone of JARVIS (this repo) — especially "the mic doesn't work", "JARVIS says his language systems are down", any Firefox/browser question, login/auth failures, or Accessibility permission prompts. Carries facts about this project that were only learned by…
Production-ready security middleware for FastAPI. Use when adding IP filtering, rate limiting, per-route security decorators, route-resolution strict mode, global behavior rules, passive/log-only mode, or Guard Agent SaaS telemetry to a FastAPI app. Covers SecurityMiddleware setup, SecurityConfig tuning, and the…
Build async web applications and APIs with Starlette 1.0, the lightweight ASGI framework for Python. Use this skill whenever a user wants to create an async Python web app, REST API, WebSocket server, or ASGI application using Starlette. Triggers include mentions of 'Starlette', 'ASGI', async Python web frameworks, or…
ONLY for writing backend or fullstack code BY HAND. NOT needed on the normal path — createartifact(fullstack-stateless-app or fullstack-stateful-app) followed by generateartifact writes the backend, verifies it by importing it and launches it. Recall this when editing an existing fullstack artifact, or when…
Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?".
Create, revise, and troubleshoot publication-ready scientific plots in Python with cnsplots, including distribution, regression, heatmap, genomics, survival, set, flow, and multi-panel figures. Use when a user asks for cnsplots code, Cell/Nature/Science-style visualization, precise physical figure dimensions…
High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.
Detect whether a passage shows AI-like writing signals and return an explainable risk estimate with confidence, caveats, and next steps.
★not rated 651▲
+162 9d agoA33 tokens
originalMIT
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: