Index/map of AI agent skills published under GitHub user bigdata2211it-web. For each skill: a link to its GitHub repo and a one-line description. Triggers on "what skills are there", "show me all skills", "give me the github link for skill X".
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Self-adaptive behavior improvement through post-intervention analysis and proactive rule/skill/hook suggestions. Load when analyzing agent behavior or suggesting rule/skill updates.
A rule that makes an agent read an automatically generated list of suggested skills and activate matching skills before answering. Skills are reusable instruction sets for particular kinds of work.
Source-first guide to understanding AI agents — when the user wants to build, debug, or reason about an agent's internals (tool calling, memory, subagents, teams, compaction, safety), route them to the corresponding nanoagent chapter (100 lines of Python each).
SoD enforcement for Cursor 3 Agent mode, Background Agents, and multi-agent workflows. Activated when using agent features, background tasks, or parallel agent execution.
Swamr Orchestrator — autonomous agent swarm that builds entire projects. Invoke with @swamr-orchestrator followed by what you want built. Decomposes into tasks, selects specialist agents, runs dev↔QA loops, and delivers production-ready code.
DoctorWhy, medical requirement prober. When a medical software requirement is vague, ask it clear with one small question at a time until both sides understand, then produce runnable code.
A prompt library for coordinating coding roles such as planning, implementation, testing, review, verification, pull-request writing, and release management.
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originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: