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testing security knowledge base AI Skills

Discover testing security knowledge base skills, compare source repositories and read the instructions for each workflow.

Categories: testing security knowledge base

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GitHub

meta-cognitive-reasoning

89jobrien

Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requ...

GitHub

researching-best-practices

C0ntr0lledCha0s

Automatically activated when user asks "what's the best way to...", "how should I...", "what are best practices for...", or requests recommendations, industry standards, or proven approaches for implementing fe...

GitHub

analyzing-response-quality

C0ntr0lledCha0s

Expert at analyzing the quality of Claude's responses and outputs. Use when evaluating response completeness, accuracy, clarity, or effectiveness. Auto-invokes during self-reflection or when quality assessment...

GitHub

interview-me

jscraik

Interactive, multiple-choice interview for requirements discovery and spec clarification; turns an underspecified idea (or draft spec) into an execution-ready spec with decisions, assumptions, acceptance criter...

GitHub

anti-ai-writing

cdeistopened

Transform AI-assisted drafts into authentic, human-sounding content. This skill provides patterns to detect and eliminate AI tells, frameworks for natural writing, and techniques for creating prose that reads a...

GitHub

feature-documenter

alunadev

Use PROACTIVELY to document new features, significant code changes, or when creating technical specifications for a feature not included in the original project technical specification. Specializes in creating...

GitHub

reputation-recovery-playbook

SanctifiedOps

Recover credibility after mistakes: incident comms, restitution, roadmap resets, and monitoring sentiment. Use after exploits, missteps, or comms errors.

GitHub

surprise-me

DevMan57

Drops random fun facts, jokes, stories, or wild ideas tailored to tech wizards like you

GitHub

investigating-codebases

C0ntr0lledCha0s

Automatically activated when user asks how something works, wants to understand unfamiliar code, needs to explore a new codebase, or asks questions like "where is X implemented?", "how does Y work?", or "explai...

GitHub

ai-report-export

skyasu2

Automated 2-AI verification result documentation and export workflow. Triggers when user requests AI verification report export, documentation of findings, or saving cross-validation results. Use after completi...

GitHub

firecrawl

5dlabs

Web scraping, content extraction, and autonomous research agent for deep web investigation.

GitHub

deep-research

5dlabs

Deep technical research using Firecrawl Agent for autonomous web investigation, competitive analysis, and implementation pattern discovery.

GitHub

doc-coauthoring

5dlabs

Structured workflow for co-authoring documentation, PRDs, technical specs, and decision docs. Use when writing substantial documentation, creating proposals, drafting specifications, or any structured content t...

GitHub

skill-authoring

5dlabs

Meta-skill for creating and improving agent skills. Use when designing new skills, refining existing skills, or understanding skill architecture patterns. Provides progressive disclosure, context efficiency pri...

GitHub

core-researcher

vamseeachanta

Deep research and information gathering specialist for thorough investigation, pattern analysis, and knowledge synthesis

GitHub

knowledge-base-builder

vamseeachanta

Build searchable knowledge bases from document collections (PDFs, Word, text files). Use for creating technical libraries, standards repositories, research databases, or any large document collection requiring...

GitHub

semantic-search-setup

vamseeachanta

Setup vector embeddings and semantic search for document collections. Use for AI-powered similarity search, finding related documents, and preparing knowledge bases for RAG systems.

GitHub

rag-system-builder

vamseeachanta

Build Retrieval-Augmented Generation (RAG) Q&A systems with Claude or OpenAI. Use for creating AI assistants that answer questions from document collections, technical libraries, or knowledge bases.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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