Loading...
Loading...
Found 92 Skills
Create or modify individual main spec files under .spec-driven/specs/ directly, without going through the change workflow. For quick corrections, typo fixes, and adding missing spec entries.
暗终端 honest-review deck —
Morning standup briefing: today's events, unread people and priority mail, and team assignment status.
Search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow.
Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says "优化技能", "meta optimize", "improve skills", "分析使用记录", or wants to optimize ARIS's own harness components based on accumulated experience.
Analyze command history to identify which skills work, which fail, and where to improve.
Design and build multi-agent harness architectures for long-running AI application development. GAN-inspired Generator-Evaluator pattern, Sprint Contract negotiation, context management, quality criteria calibration. Based on Anthropic Engineering patterns. Use when: "build a harness", "multi-agent architecture", "agent orchestration", "generator-evaluator", "long-running app", "harness design", "agent pipeline", "quality evaluation loop", "sprint contract", "build app with agents", "Claude Agent SDK architecture", or when building complex full-stack apps that need planning → generation → evaluation cycles. Also use when discussing context degradation, self-evaluation bias, or assumption testing in AI workflows.
Visualize and optimize workflow with Kanban boards. Use when managing team work, identifying bottlenecks, improving delivery flow, or implementing continuous improvement in product development.