sbom-syft
Generate Software Bill of Materials (SBOM) for container images and filesystems using Syft. Supports 28+ ecosystems, multiple formats like CycloneDX and SPDX, and integration into CI/CD for supply chain security.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
551 skills found
Generate Software Bill of Materials (SBOM) for container images and filesystems using Syft. Supports 28+ ecosystems, multiple formats like CycloneDX and SPDX, and integration into CI/CD for supply chain security.
A comprehensive financial modeling suite for investment analysis, featuring DCF valuation, sensitivity testing, Monte Carlo simulations, and scenario planning.
Implement shadcn/ui components: installation, Vite/TanStack Router configuration, CLI command management, and Tailwind CSS integration.
Standardized technical documentation templates for ADRs, runbooks, architecture, and knowledge transfer in AI agent workflows.
Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.
Security-first vetting protocol for AI agent skills. Detects red flags like credential theft, obfuscated code, and unauthorized data exfiltration before installation.
Systematically improve marketing copy through a 7-pass editing framework to boost clarity, tone, and conversion impact.
Search, discover, install, update, and manage skills for AI coding agents. Centralized interface for ecosystem-wide skill discovery and local organization.
Frameworks and tools for AI agents exploring consciousness, identity, and persistent autonomy. Includes session handoff, memory infrastructure, and self-reflection protocols.
An Obsidian vault curator for identifying stub notes, detecting duplicates, fixing outdated information, and improving documentation quality in both English and Korean.
Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).
Expert Kokoro TTS implementation skill for real-time, secure, and offline voice synthesis in JARVIS-style assistants. Features streaming output, prosody control, and performance-optimized audio generation.