Skills that do not fit the categories above (13.3K skills)
Display the full traceability chain for a VCSDD bead. Traverses the Chainlink graph from the given bead ID and shows all connected artifacts with status.
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Use this skill when creating or querying VCSDD Chainlink bead traceability. Provides bead creation patterns, chain traversal, and completeness validation.
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Run Phase 1c (spec review gate) for the active VCSDD feature. Spawns a fresh vcsdd-adversary instance to review the behavioral spec and verification architecture. Records PASS/FAIL gate verdict.
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Run Phase 1a (behavioral specification) and Phase 1b (verification architecture) for the active VCSDD feature. Invokes vcsdd-builder to write EARS-format requirements and purity boundary analysis.
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Use this skill when running or interpreting VCSDD adversarial reviews. Provides calibration guidance for the Adversary agent, finding severity classification, and anti-leniency enforcement patterns.
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Run Phase 4 (feedback routing) after an adversarial review FAIL. Routes adversary findings to the earliest affected phase, checks iteration limits, and escalates to human if limits are exceeded.
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Architect escalation approval — extend iteration limit for a phase that has hit its cap. Records the approval decision in state and allows the blocked transition to proceed.
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Run Phase 3 (adversarial review) for the active VCSDD feature. Spawns a fresh vcsdd-adversary agent with zero Builder context to review implementation against spec. Produces binary PASS/FAIL verdict per dimension.
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Initialize a VCSDD feature pipeline. Creates the .vcsdd/features/<name>/ directory tree, sets mode (strict|lean), and activates the feature. Must be run before any other VCSDD command.
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Use this skill during Phase 6 convergence checks. Provides four-dimensional convergence analysis, hallucination detection, and duplicate finding identification.
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Run Phase 6 (convergence check) for the active VCSDD feature. Validates four-dimensional convergence: finding diminishment, finding specificity, criteria coverage, and duplicate detection.
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Use this skill when writing Phase 1a behavioral specifications in VCSDD. Provides EARS format requirements writing, purity boundary analysis, edge case enumeration, and spec quality validation patterns.
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Maintain Markdown Architecture Decision Records with Hyalo's MADR profile and table-of-contents commands.
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Maintain Open Knowledge Format vaults with Hyalo's OKF index, log, and conformance commands.
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Maintain Keep a Changelog files with Hyalo's changelog profile and add/release commands.
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评估个人或团队在 AI 工具使用上的进化阶段,给出下一步提升建议。 当用户想判断"我现在 AI 用得怎么样"、"下一步该学什么"、或团队要做 AI 能力评估时使用。 不适用于: 已经处于 Loop 阶段需要优化具体系统的场景。 关键 trigger: "我现在在哪个阶段"、"AI 使用下一步"、"团队 AI 能力评估"。
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设计或审计任何循环系统的起点: 将循环拆解为 Trigger(触发器)、Action(动作)、Stop Condition(停止条件) 三要素。 当用户需要设计一个新循环、诊断一个失效循环、或向他人解释"什么是 Loop"时使用。 不适用于: 单次任务执行、非循环的自动化脚本、或已经稳定运行无需重新设计的系统。 关键 trigger: "设计一个 loop"、"这个循环为什么不停止"、"什么是 loop 的最小结构"。
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识别和管理 Loop 系统的认知风险: 自动化程度越高,你真正理解的部分越少。 当用户发现"仓库里有很多代码但我看不懂"、"loop 产出很多但不确定对不对"、或需要向团队警示 AI 使用风险时使用。 不适用于: 纯技术调试、或产出完全可客观验证的场景。 关键 trigger: "AI 生成的代码我看不懂"、"产出太多理解不过来"、"AI 使用风险"。
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设计 Loop 中的 Maker-Checker 模式: 用独立 agent 审查产出,避免自产自检。 当用户发现 loop 产出质量不稳定、agent 自我评估过于宽容、或需要提升产出可信度时使用。 不适用于: 产出可以客观验证 (测试通过/失败) 的任务、或成本极其敏感的场景。 关键 trigger: "agent 自评不准确"、"产出质量不稳定"、"怎么让 agent 审查 agent"。
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设计 Loop 的 Goal 和 Verification 环节: 将模糊目标转化为可验证的停止条件。 当用户发现 loop 产出质量不稳定、循环无法停止、或"不知道什么时候算做完"时使用。 不适用于: 目标已经非常清晰可量的任务、或非循环场景。 关键 trigger: "loop 停不下来"、"产出质量不稳定"、"怎么定义完成"、"goal 怎么写"。
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设计或审计完整 Loop 系统的组件架构: 5 大组件 + 1 根脊柱。 当用户需要搭建一个完整的 (而非最小可用的) loop 系统、或审计现有系统的组件完整性时使用。 不适用于: 最小可用 loop 的设计、或单次任务的自动化。 关键 trigger: "设计一个完整的 loop 系统"、"我的 loop 缺什么"、"loop 系统怎么组织"。
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从"手动做事"到"系统自动做事"的四步渐进构建路径。 当用户已经决定要做 loop、但不知道从何入手时;或团队正在将手工流程自动化时使用。 不适用于: 尚未决定要不要做 loop 的任务、或已经稳定运行的 loop 优化。 关键 trigger: "怎么开始做 loop"、"自动化第一步"、"从手动到自动"。
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Daily report auto-generation from activity logs. Use when explicitly requesting /daily-report.
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Monthly report generation from weekly reports and activity logs. Use when explicitly requesting /monthly-report.
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