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Skills IA testing security llm ai

Découvrez les skills testing security llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: testing security llm ai

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baoyu-danger-gemini-web

JimLiu

Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, a...

GitHub

baoyu-article-illustrator

JimLiu

Smart article illustration skill. Analyzes article content and generates illustrations at positions requiring visual aids with multiple style options. Use when user asks to "add illustrations to article", "gene...

GitHub

session-investigator

evalstate

Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing con...

GitHub

recall

parcadei

Query the memory system for relevant learnings from past sessions

GitHub

system-overview

parcadei

Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination

GitHub

discovery-interview

parcadei

Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.

GitHub

docetl

ucbepic

Build and run LLM-powered data processing pipelines with DocETL. Use when users say "docetl", want to analyze unstructured data, process documents, extract information, or run ETL tasks on text. Helps with data...

GitHub

agentica-sdk

parcadei

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

GitHub

math-help

parcadei

Guide to the math cognitive stack - what tools exist and when to use each

GitHub

sub-agents

parcadei

Create and configure Claude Code sub-agents with custom prompts, tools, and models

GitHub

trace-claude-code

parcadei

Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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