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Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Search for, research, and verify non-tech founders on LinkedIn to identify high-value prospects for technology services (Web Dev, ERP, CRM, App Dev, SEO, AI). Generates professional PDF reports. Use when asked to find potential clients or leads.
End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.
Read a story file and implement it. Loads the full context (story, GDD requirement, ADR guidelines, control manifest), routes to the right programmer agent for the system and engine, implements the code and test, and confirms each acceptance criterion. The core implementation skill — run after /s...
Comprehensive research framework that combines web search, content analysis, source verification, and iterative investigation to conduct in-depth research on any topic. Use when you need to perform thorough research with multiple sources, cross-validation, and structured findings.
An MCP server that provides on-demand skill loading for AI coding assistants.
Use when improving performance, latency, throughput, memory usage, or general efficiency. Start by defining target metrics, measuring comprehensively, attributing bottlenecks, validating with static analysis, and prioritizing macro-optimizations before micro-optimizations.
Research a specific system and create or update its blueprints/ documentation
Use after modifying existing systems to update blueprint documentation. Read blueprints before changes, update after. Prevents documentation drift.
Post-pipeline retrospective — parse logs, score process quality, find waste patterns, suggest skill/script patches. Use after pipeline completes or when user says "retro", "evaluate pipeline", "what went wrong", "pipeline review", "check pipeline logs".
Agent skill for QA / Test Engineer, Backend Developer, Frontend Developer, published by zbruhnke. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Backend Developer, DevOps / SRE, published by majiayu000. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by chanhee-kang. Project details and file access are provided by the publisher.
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