Build a learning progression showing prerequisite-to-mastery steps for a target skill or understanding. Use when sequencing content, designing diagnostics, or mapping prerequisite gaps.
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Build a learning progression showing prerequisite-to-mastery steps for a target skill or understanding. Use when sequencing content, designing diagnostics, or mapping prerequisite gaps.
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Synthesise completed KUD charts into a developmental progression matrix and per-competency narrative sections. Use when you need a programme-level view of how knowledge, understanding, and performance develop across bands.
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Initialize or migrate to nested CLAUDE.md structure for progressive disclosure. Claude auto-loads CLAUDE.md from any directory it enters, so nested files get discovered automatically. Use when setting up a new project's agent config, refactoring a bloated CLAUDE.md, or adding progressive disclosure to an existing repo. Triggers on: '/agent-init-deep', 'setup progressive disclosure', 'refactor claude.md', 'split claude.md', 'claude.md is too big'.
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Optimize oversized agent instruction files using progressive disclosure. Handles CLAUDE.md (Claude Code), AGENTS.md (OpenAI Codex / GitHub Copilot agents), and copilot-instructions.md (GitHub Copilot). Auto-detects all three formats in your repo, analyzes content tiers, creates sub-documents using each format's native mechanism, and rewrites the main file with zero information loss. Triggers: optimize CLAUDE.md, AGENTS.md too long, reduce copilot-instructions.md, agent instructions file too large, shrink context file, apply progressive disclosure, instructions file bloated
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On-demand situational awareness — fresh git/PR snapshot plus continuation, distilled into one concrete "next action" suggestion. Use mid-session when you've lost track, after a compaction, or starting a new work block. Trigger on "where was I", "what's next", "progress", "what should I do now", "/progress".
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Tracks iteration progress toward task completion goals. Monitors quality trends, detects plateauing, and recommends when to stop iterating. Activate on 'convergence tracking', 'iteration progress', 'quality trend', 'stop iterating', 'progress monitoring'. NOT for iteration detection (use dag-iteration-detector) or feedback synthesis (use dag-feedback-synthesizer).
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This skill recommends regularly evaluating for corticotroph tumor progression using pituitary MRIs and ACTH levels in patients with known Cushing's disease who underwent bilateral adrenalectomy and in patients undergoing this procedure for presumed occult ectopic ACTH secretion. Triggers include postoperative follow‑up after bilateral adrenalectomy, rising ACTH levels, or new pituitary lesion on MRI suggestive of tumor progression.
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Track and report progress of a request to create and run an EcoSIM case for a site ("create an ecosim run for site US-UMB", "set up and run EcoSIM at <site>"). Records four stages — data preparation, namelist creation, model simulation, and output evaluation — in result/<SITE_ID>/progress.json and PROGRESS.md, derives step status from files and quality reports on disk, and records manual results such as the executable, test run, and evaluation verdicts. Use at the start of such a request, after each stage, and whenever the user asks where a site run stands.
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将实施计划中的任务逐一交给不同的代理,检查是否符合规格要求以及代码质量,并将进度记录到文件中,最后审查整个分支的全部变更。
在同一会话中逐项执行已有的实施计划,确认测试先失败后通过,记录进度与判断,并在全部任务结束后审查整个分支的更改。
在仓库文件中管理开发计划,将大目标拆成小任务并分配到迭代,记录实现、审查和合并确认的进展,无需外部项目管理工具,还可检查任务文件与汇总表的不一致。
为多个 AI 智能体分配负责范围和完成条件,用看板共享进度与阻碍。通过分支或独立工作目录分开编辑,并在测试、差异审查和风险检查后整合成果。
帮助编写和检查PyTorch模型与训练代码,涵盖数据加载、实验可复现性、训练状态保存与恢复,并提供改善GPU显存占用和运行速度的方法。
使用Apple的FoundationModels为iOS 26及以上版本的应用添加端侧语言模型功能,支持文本生成、摘要、数据提取、自定义处理调用和生成过程中的界面更新。
为重复的代理任务设计专用执行流程,整理目标、输入输出、合格检查、进度记录与交接信息,并帮助将多个团队或项目共用的流程整理成共享技能。
通过 Claude DevFleet 将开发工作分配给多个 Claude Code 智能体,在独立工作目录中并行执行,并管理任务依赖、进度以及变更、测试和错误报告。
帮助设计在 Claude Code 中反复推进开发工作的自主循环,涵盖顺序执行与并行任务,并梳理运行间的进度衔接、质量检查、变更合并和停止条件。
在AI代理反复失败或重复操作时,记录错误与环境前提、排查原因,采取影响有限的恢复操作,并汇总结果和证据,为有依据的重试与交接提供支持。
按项目保存Claude Code中的工作进度、决策和后续步骤,在其他会话中读取摘要,接着上次中断的位置继续工作,也可在会话开始时自动加载。
汇集邮件、网站和本地文件中的进度信息,生成定期更新的仪表板。集中显示待处理事项和变更记录,并在出现重要变化时发送通知。
将视频需求整理成制作计划,按风格组建专业智能体团队并配置制作环境。通过Hermes看板分配任务、查看进度,协助应对停滞或失败的任务。
将代码修改和多步骤开发任务交给OpenHands CLI,选择LiteLLM支持的模型,无需交互界面即可单次或批量运行任务、查看进度并恢复历史会话。
根据文档类型对应的指南,按照公司惯用的格式和语气撰写内部沟通文档,涵盖进展汇报、公司通讯、常见问题解答、管理层汇报及事故报告。
检查Paperclip中停滞、受阻或等待审核的问题,明确负责人和状态,并为每项确定下一步:恢复工作、更换负责人、解除阻碍、请求决策或结束问题。