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skill-stack-architecture
skill-stack-architecture contains 10 collected skills from marktantongco, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Unified multi-agent role system. Covers Builder, Coder, Council, Orchestrator, Plan, Researcher, Reviewer, and Scribe personas. Use when coordinating multi-agent workflows with MECE principle and role delegation.
Headless and headful browser automation with natural language control. Saves tokens by delegating all Playwright logic to a dedicated browser automation layer.
Creates iterative improvement cycles that feed deployment metrics and product feedback back into research for the next iteration. Use to close the loop from Zero-to-Revenue workflow and enable continuous product improvement.
Simple hello-world task for demonstrating the SKILL workflow. Returns a deterministic ASCII hello message with timestamp. Use for testing skill activation and validation.
Automatically syncs the system prompt (AGENTS.md) across all git repositories when a new version tag is created. Use to eliminate manual prompt propagation after updates.
16-skill, 4-tier, 5-option interactive web architecture with SP-7 scoring algorithm, AI portal gateway, and editorial design system. Every component is also an installable skill.
AI agent intent classification and skill routing gateway. Classifies natural language queries and routes to the most relevant section with confidence scoring and fallback chains.
The complete design decision algorithm: 3-question decision tree, SP-7 scoring, and skill-to-section mapping. Guides users to their optimal design option through interactive questioning.
Comparative matrix rendering engine with radar chart overlay, interactive option toggles, and switchable table/chart views. Powers the Comparative Analysis section.
7-dimension scoring algorithm (SP-7) that evaluates skill stacks against weight profiles. Interactive weight sliders with real-time recalculation and prioritized result rendering.