KonghaYao
User14MB ACP-Rust Agent, Claude Code Plugin compatible, Dynamic Workflow, Goal, Artifacts, Free Web Search, full feature and better support!
Categories
Indexed Skills (10)
langfuse
Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via bunx) and multiple documentation retrieval methods.
ultracode
Multi-agent workflow orchestration. Use when the user says "ultracode", "workflow", "parallel agents", "pipeline", or asks to orchestrate multiple agents for complex tasks. Also use when the user wants to break work into phases or parallel streams.
use-artifacts
Teach the agent when and how to use the artifact tool: what content belongs in artifacts, when to upload/update, and the SearchExtraTools + ExecuteExtraTool invocation flow for the deferred artifact tool.
goal
Long-running goal tracking. Use when the user gives a complex task requiring multiple steps to complete. Triggers: "goal", "keep going until done", "don't stop until X".
auto-converge
通过外部对标+对抗迭代让规则/技能/SKILL.md 收敛到可执行状态。 当用户说"打磨这个 skill""收敛规则""这个 skill 写出来不 work，帮我调" "怎么让 agent 严格按规则执行"时触发。 也适用于任何需要把一份规则文档从"写完了但 agent 不遵守" 变成"agent 能稳定���行"的场景。
auto-devflow
Use when starting an issue, bugfix, feature, or refactor that should be driven by multiple coordinated subagents: explore → plan → code → review, with the main agent acting as controller and subagents exchanging handoff files.
auto-issue-fixer
Issue 全生命周期管理——从创建到归档。当用户描述技术问题、提 bug、"帮我记录"、 "修一下 X issue"、"验证一下"、"归档 issue"时立即触发。单入口自动分发， 替代旧 issue-create/fix-issue/issue-verify/issue-archive 四个技能。 即使用户没有用"issue"这个词，只要在描述值得追踪的技术问题就应触发。
blog-writer
Peri 项目博客写作风格指南。当用户说"写博客"、"写文章"、"出稿"、 "按风格写"、"博客"时触发。也适用于用户丢过来素材说"帮我写篇博客"的场景。 覆盖项目介绍、技术复盘、架构讨论、性能优化、架构设计等类型。
learn-from-history
从过去 N 天的对话历史中提炼经验教训——分析每次 agent 交互中的异常、失败、成功模式， 提出 CLAUDE.md/AGENTS.md 更新建议、可凝聚为 skill 的新方向、以及现有 skill 的改进点。 当用户说"总结历史对话"、"learn from history"、"回顾最近的对话"、"从历史中学习"、 "分析最近的 agent 表现"、"对话历史分析"、"最近有什么可以改进的"、 "提炼一下这几天的经验"、"历史经验总结"时立即触发。 也适用于用户想知道"最近 agent 出了哪些问题"、"有什么可以优化的"、 "哪些操作可以自动化"等经验提炼场景。 只要用户想从对话历史中系统性地提取可行动的改进方向，就应使用此 skill。
llm-log-analyzer
分析 llm-gateway 代理产生的请求/响应日志。当用户说"分析日志"、"查看 LLM 请求"、"对比 session"、"检查 token 用量"、"日志里有什么"、"帮我看看 data 目录"、"哪个请求失败了"、"找一下 session 的请求"等涉及 LLM 网关日志分析的场景时使用此 skill。即使用户只是笼统地说"看看日志"或"data 里有什么"，也应触发。
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