massgen-config-creator
Guide for creating properly structured YAML configuration files for MassGen. Use this when creating new configs for examples, case studies, testing, or feature demonstrations.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
529 skills found
Guide for creating properly structured YAML configuration files for MassGen. Use this when creating new configs for examples, case studies, testing, or feature demonstrations.
Capture and formalize software development ideas into structured design documents within the Hashbrown repository, including research and conceptual sketches.
A local RAG semantic memory system using Qdrant and Ollama. Ideal for recalling workspace files, notes, project decisions, and user preferences with high-relevance vector search.
Controls a local or remote headless browser for automated web navigation, data extraction, form interaction, and testing from sandboxed environments.
Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.
Create and optimize professional LinkedIn content, including posts, articles, and engagement strategies with character-counted hooks and platform-specific formatting.
Edit and modify PDF documents using natural-language instructions via the nano-pdf command-line interface.
Redesign SaaS paywalls and upgrade screens to maximize conversion using the Upgrade Moment Method.
🛡️ GDPR & LGPD Privacy Guardian: Automated compliance scanner that detects PII exposure, insecure logging, and tracking violations in your codebase to prevent regulatory fines.
Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.
An AI-driven active listening framework to extract, clarify, and structure requirements, business values, and scope from ambiguous user stories.