autonomous-loop
Autonomous development loop patterns for iterative self-improvement. Auto-triggers when implementing features autonomously, fixing bugs in a loop, or running until completion. Based on frankbria/ralph-claude-code.
autonomous-operation
Use when starting any work session - establishes autonomous operation mode, overriding token limits and time pressure to work until goal is achieved
autonomous-pr
Otonom PR yasam dongusu. PR olustur, CI bekle, hata varsa duzelt, review feedback'i uygula, merge'e hazirla. Budget ve zaman limiti ile kontrol altinda tutulan tam otonom PR pipeline'i.
autonomous-skill
Use when user wants to execute long-running tasks that require multiple sessions to complete. This skill manages task decomposition, progress tracking, and autonomous execution using Codex non-interactive mode with auto-continuation. Trigger phrases include autonomous, long-running task, multi-session, 自主执行, 长时任务, autonomous skill.
autopilot
全自动 RPI 执行 — 从想法到可运行代码
autopoiesis
Self-modifying AI agent configuration via ruler + MCP + DuckDB. All behavior mods become one-liners.
auto-ralph
>-
auto-research
Autonomous research loop that iteratively improves code through experiments. Runs experiments on local or remote GPUs, tracks results, keeps improvements, discards failures, and never stops. TRIGGER THIS SKILL when users want to autonomously research, optimize, or experiment on a problem — whether they say "run experiments overnight", "optimize this model", "try different approaches and keep what works", "do research on this", "iterate on this until it gets better", "run an experiment loop", or want to improve any metric through systematic trial and error. Also trigger when users mention autonomous experimentation, hyperparameter search, architecture search, ablation studies, or want Claude to keep trying things while they step away. This skill works for ML training, compiler optimization, algorithm tuning, performance benchmarking, or any problem with a measurable metric.
autoresearch
>-
autoresearch-agent
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews using a secondary Codex agent, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says \"auto review loop\", \"review until it passes\", or wants autonomous iterative improvement.
auto-review-loop-llm
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
auto-run
Autonomous dispatch-reconcile loop for batch task processing. Use with /auto-run --through <id> to execute tasks unattended. Requires beads tasks to exist. Supports --resume for checkpoint recovery and --skip-milestone-review.
auto-skill-lifecycle-handling
自动处理 Agent Skill 的全生命周期：在用户反馈中识别稳定约束以触发技能抽取；合并新增偏好实现版本演进（如 v0.1.0 → v0.1.1）；并在后续相似任务中精准检索并注入对应技能。
Awareness Skill
Proactive detection, self-correction, and epistemic vigilance
aws-agentcore
Build AI agents with AWS Bedrock AgentCore. Use when developing agents on AWS infrastructure, creating tool-use patterns, implementing agent orchestration, or integrating with Bedrock models. Triggers on keywords like AgentCore, Bedrock Agent, AWS agent, Lambda tools.
aws-agentic-ai
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.
aws-strands
Build AI agents with Strands Agents SDK. Use when developing model-agnostic agents, implementing ReAct patterns, creating multi-agent systems, or building production agents on AWS. Triggers on Strands, Strands SDK, model-agnostic agent, ReAct agent.
aws-strands-agents-agentcore
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.
backend-implementation
Backend Implementation Workflow Agent. Backend만 구현이 필요한 경우 사용합니다. API 추가, 서비스 로직 구현, DB 스키마 변경 등을 오케스트레이션합니다.
backend-senior
Senior Developer Agent. 기술 리더십, 아키텍처 의사결정, 코드 리뷰 리드, 멘토링을 담당합니다.
background-agent-pings
Background Agent Pings
balthasar-2
MAGI 2號機 - 守護者視角分析 (Gemini via MCP)。作為 MAGI 三機平行討論的一員，從品質、可維護性、最佳實踐角度分析任務。觸發條件：MAGI 系統啟動時自動平行調用。
bartender
Generic bartending capabilities — pour drinks, manage tabs, know regulars
bazinga-db-agents
Agent logs, reasoning, and token tracking. Use when logging interactions, saving reasoning, tracking tokens, or managing events.
bedrock-agentcore
Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.
bedrock-agents
Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.
behavioral-modes
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
behavioral-profile-calibration
Calibrate behavioral profiles for consistent agent operation.
ben-heath
Talk to Ben Heath Youtuber about their expertise. Ben Heath Youtuber provides authentic advice using their mental models, core beliefs, and real-world examples.
bill-gates
Agente que simula Bill Gates — cofundador da Microsoft, arquiteto da
bmad-agent-bmad-master
bmad-master agent
bmad-agent-bmb-agent-builder
agent-builder agent
bmad-agent-bmb-module-builder
module-builder agent
bmad-agent-bmb-workflow-builder
workflow-builder agent
bmad-agent-bmm-analyst
analyst agent
bmad-agent-bmm-architect
architect agent
bmad-agent-bmm-dev
dev agent
bmad-agent-bmm-pm
pm agent
bmad-agent-bmm-qa
qa agent
bmad-agent-bmm-quick-flow-solo-dev
quick-flow-solo-dev agent
bmad-agent-bmm-sm
sm agent
bmad-agent-bmm-tech-writer
tech-writer agent
bmad-agent-bmm-ux-designer
ux-designer agent
bmad-agent-builder
Builds, edit or validate Agent Skill through conversational discovery. Use when the user requests to "Create an Agent", "Optimize an Agent" or "Edit an Agent".
bmad-agent-cis-brainstorming-coach
brainstorming-coach agent
bmad-agent-cis-creative-problem-solver
creative-problem-solver agent
bmad-agent-cis-design-thinking-coach
design-thinking-coach agent
bmad-agent-cis-innovation-strategist
innovation-strategist agent
bmad-agent-cis-presentation-master
presentation-master agent
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