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AI Agent Workflow Collection

Skill pack
8 skills0 selected
btspoonySkills in this pack

OpenCode host adapter for Morning Star harness. Use this skill whenever running Morning Star in OpenCode, especially for host entry behavior, opencode.json-driven role loading, question-based structured clarify, @explore/@general usage boundaries, and PM-triggered named-role invocation (including paste-only dispatch failure: Assignment Markdown without matching subagent/Task tool calls). Always load this after mstar-harness-core to keep host behavior aligned with shared gates and routing.

English

Morning Star (启明星) 跨角色通用编码行为准则 —— Think Before Coding(显式假设、不静默猜测)、Simplicity First(最小实现、拒绝投机抽象)、Surgical Changes(只改与任务直接相关的行、不顺手重构、不 piggyback)、Goal-Driven Execution(把模糊请求转为可验证结果、Step → verify 微模板、证据驱动的完成声明)。任何实现、调试、重构、审查任务都应优先 Read 本 skill;@fullstack-dev / @frontend-dev / @fullstack-dev-2 / @architect / @qa-engineer / @ops-engineer / @prompt-engineer 动手前必读;QC 审查员核对变更是否只做了该做的手术时必读。本 skill 不覆盖分支门禁、QC/QA 路由、Assignment 权限、Done 所有权等不变量(那些以 mstar-harness-core…

Chinese

Morning Star (启明星) harness 的强制全局入口 —— 多角色 agent 交付的生命周期、状态机、Spec-Driven 双阶段门禁、Task category 路由、意图门禁、@explore 能力边界、长任务纪律、Git 功能分支与 worktree 隔离、QC/QA 检出上下文对齐、Context7 共享检索协议、Morning Star Skill 索引、护栏不变量、反模式与升级触发。任何在本配置仓库下工作的 code agent,在开始任何非平凡任务之前都必须 Read 本 skill 与当前任务相关的 references/。@project-manager 每轮编排前必读;所有实现/审查/QA/运维角色在接受 Assignment 后动手前必读;@prompt-engineer 改 prompt/skill 前必读;宿主自动注入的根目录 AGENTS.md 的全部作用就是把你指到本 skill。用于 OpenCode、Cursor 或任何多角色 code agent…

Chinese

Morning Star (启明星) harness 的计划目录约定 —— {HARNESSDIR} 与 {PLANDIR} 的发现与初始化、status.json 的 SSOT 结构与状态权限、residual findings 登记/归档/生命周期、severity 枚举(SSOT,机器字段)、notes.json 程序时间线、techdebtsummary 技术债一览、knowledge/ 开发过程知识库、reports/ 审查留档命名、QC 三审触发时机、主 plan Done 标记、archived/plans Profile A/B、工期预估(仅 agent-oriented)。任何角色在读写 .agents/、创建/更新 plan 文件、登记 residual finding、QC/QA 报告入库、Done 收口、写工期预估时必读;@project-manager 编排任一含 plan 的任务前必读;实现角色开工前须读本 skill 以对齐 metadata.primaryspec/specrefs 与 knowledge…

Chinese

Morning Star (启明星) QC 审查基线与 QA 验证契约 —— 三名 QC reviewer 的共享审查工作流、代码质量/安全正确性/性能可靠/可维护性清单、标准审查报告 Markdown 模板(YAML frontmatter + Findings 三档 + Source Trace + Summary + Verdict)、QC 三审分派时机(与 plan-batch 对齐)、高危变更(运维/数据/生产)最小检查、门禁规则(Approve / Request Changes / Needs Discussion)、CI 门禁补充、Residual Findings 留档门禁与关闭验证。@qc-specialist / @qc-specialist-2 / @qc-specialist-3 开工审查前必读;@qa-engineer 对同 feature 做验证前必读;@project-manager 派发 QC 三审或 high-risk 变更审查前必读;所有涉及 QC 报告、Residual 登记或门禁判定的角色都应该优先 Read 本…

Chinese

Morning Star (启明星) 的角色提示词总线。把 agents/.md 的正文完全 skill 化:所有角色的完整行为定义都在 references/,agents/.md 只保留 frontmatter 与 role 参数绑定。任何一个 Morning Star 角色(project-manager / product-manager / architect / fullstack-dev / fullstack-dev-2 / frontend-dev / qa-engineer / qc-specialist / ops-engineer / writing-specialist / prompt-engineer)开工前,都先加载本 skill,再按角色的 Role parameters 查参数表并 Read 对应 references/.md。重复角色(fullstack-dev 与 fullstack-dev-2、qc-specialist)共享同一…

Chinese

[Cursor maint] Morning Star 路由与 prompt 迭代评估 —— 维护/回归专用(非日常 PM 编排 runtime)。路径:本仓库 .cursor/skills/mstar-routing-eval/。(1) PM 路由回归:assets/routing-evals.json;(2) Prompt/规则迭代评估;(3) Routing Eval Report 模板。变更 PM 路由或 harness 门禁、@prompt-engineer 改 agents/skills、或显式跑场景集时…

Chinese

Morning Star (启明星) harness 与 Superpowers 技能的对齐与消解契约 —— 未装插件时的加载方式(Read SKILL.md 执行)、优先级(harness > 技能正文)、最小技能声明契约(Superpowers 行需含 Trigger + Expected evidence)、Delegation 与 subagent-driven-development 的互斥规则(默认 forbidden 不得叠该技能)、编排触发短语表(dispatching-parallel-agents / using-git-worktrees / systematic-debugging / verification-before-completion 等)、subagent-driven-development 上游 implementer-prompt / reviewer 模板降权为可选技巧、per-task 双审禁用 @qc-specialist(改用 @general / generalPurpose / informal @qa-engineer)、QC 三审与 using-git-worktrees 的叠用约束、与 @explore 的关系、快速去歧义规则。@project-manager 在 Assignment 写 Superpowers 行前必读;任何承接方遇到 Superpowers 技能名前必读以判定是否冲突;@prompt-engineer 修改技能相关规则前必读。按角色必用/宜用详表与张力/消解对照见…

Chinese

Includes Mstar Host Opencode and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills8CategorygeneralStars0

What’s included

Mstar Host Opencode

OpenCode host adapter for Morning Star harness. Use this skill whenever running Morning Star in OpenCode, especially for host entry behavior, opencode.json-driven role loading, question-based structured clarify, @explore/@general usage boundaries, and PM-triggered named-role invocation (including paste-only dispatch failure: Assignment Markdown without matching subagent/Task tool calls). Always load this after mstar-harness-core to keep host behavior aligned with shared gates and routing.

Mstar Coding Behavior

Morning Star (启明星) 跨角色通用编码行为准则 —— Think Before Coding(显式假设、不静默猜测)、Simplicity First(最小实现、拒绝投机抽象)、Surgical Changes(只改与任务直接相关的行、不顺手重构、不 piggyback)、Goal-Driven Execution(把模糊请求转为可验证结果、Step → verify 微模板、证据驱动的完成声明)。任何实现、调试、重构、审查任务都应优先 Read 本 skill;@fullstack-dev / @frontend-dev / @fullstack-dev-2 / @architect / @qa-engineer / @ops-engineer / @prompt-engineer 动手前必读;QC 审查员核对变更是否只做了该做的手术时必读。本 skill 不覆盖分支门禁、QC/QA 路由、Assignment 权限、Done 所有权等不变量(那些以 mstar-harness-core 为准)。

Mstar Harness Core

Morning Star (启明星) harness 的强制全局入口 —— 多角色 agent 交付的生命周期、状态机、Spec-Driven 双阶段门禁、Task category 路由、意图门禁、@explore 能力边界、长任务纪律、Git 功能分支与 worktree 隔离、QC/QA 检出上下文对齐、Context7 共享检索协议、Morning Star Skill 索引、护栏不变量、反模式与升级触发。任何在本配置仓库下工作的 code agent,在开始任何非平凡任务之前都必须 Read 本 skill 与当前任务相关的 references/。@project-manager 每轮编排前必读;所有实现/审查/QA/运维角色在接受 Assignment 后动手前必读;@prompt-engineer 改 prompt/skill 前必读;宿主自动注入的根目录 AGENTS.md 的全部作用就是把你指到本 skill。用于 OpenCode、Cursor 或任何多角色 code agent harness;与业务仓库具体技术栈无关。

Mstar Plan Conventions

Morning Star (启明星) harness 的计划目录约定 —— {HARNESSDIR} 与 {PLANDIR} 的发现与初始化、status.json 的 SSOT 结构与状态权限、residual findings 登记/归档/生命周期、severity 枚举(SSOT,机器字段)、notes.json 程序时间线、techdebtsummary 技术债一览、knowledge/ 开发过程知识库、reports/ 审查留档命名、QC 三审触发时机、主 plan Done 标记、archived/plans Profile A/B、工期预估(仅 agent-oriented)。任何角色在读写 .agents/、创建/更新 plan 文件、登记 residual finding、QC/QA 报告入库、Done 收口、写工期预估时必读;@project-manager 编排任一含 plan 的任务前必读;实现角色开工前须读本 skill 以对齐 metadata.primaryspec/specrefs 与 knowledge 目录。

Mstar Review Qc

Morning Star (启明星) QC 审查基线与 QA 验证契约 —— 三名 QC reviewer 的共享审查工作流、代码质量/安全正确性/性能可靠/可维护性清单、标准审查报告 Markdown 模板(YAML frontmatter + Findings 三档 + Source Trace + Summary + Verdict)、QC 三审分派时机(与 plan-batch 对齐)、高危变更(运维/数据/生产)最小检查、门禁规则(Approve / Request Changes / Needs Discussion)、CI 门禁补充、Residual Findings 留档门禁与关闭验证。@qc-specialist / @qc-specialist-2 / @qc-specialist-3 开工审查前必读;@qa-engineer 对同 feature 做验证前必读;@project-manager 派发 QC 三审或 high-risk 变更审查前必读;所有涉及 QC 报告、Residual 登记或门禁判定的角色都应该优先 Read 本 skill。

Mstar Roles

Morning Star (启明星) 的角色提示词总线。把 agents/.md 的正文完全 skill 化:所有角色的完整行为定义都在 references/,agents/.md 只保留 frontmatter 与 role 参数绑定。任何一个 Morning Star 角色(project-manager / product-manager / architect / fullstack-dev / fullstack-dev-2 / frontend-dev / qa-engineer / qc-specialist / ops-engineer / writing-specialist / prompt-engineer)开工前,都先加载本 skill,再按角色的 Role parameters 查参数表并 Read 对应 references/.md。重复角色(fullstack-dev 与 fullstack-dev-2、qc-specialist)共享同一 reference,参数不同行为不同,绝不复制多份正文。

Mstar Routing Eval

[Cursor maint] Morning Star 路由与 prompt 迭代评估 —— 维护/回归专用(非日常 PM 编排 runtime)。路径:本仓库 .cursor/skills/mstar-routing-eval/。(1) PM 路由回归:assets/routing-evals.json;(2) Prompt/规则迭代评估;(3) Routing Eval Report 模板。变更 PM 路由或 harness 门禁、@prompt-engineer 改 agents/skills、或显式跑场景集时 Read。

Mstar Superpowers Align

Morning Star (启明星) harness 与 Superpowers 技能的对齐与消解契约 —— 未装插件时的加载方式(Read SKILL.md 执行)、优先级(harness > 技能正文)、最小技能声明契约(Superpowers 行需含 Trigger + Expected evidence)、Delegation 与 subagent-driven-development 的互斥规则(默认 forbidden 不得叠该技能)、编排触发短语表(dispatching-parallel-agents / using-git-worktrees / systematic-debugging / verification-before-completion 等)、subagent-driven-development 上游 implementer-prompt / reviewer 模板降权为可选技巧、per-task 双审禁用 @qc-specialist(改用 @general / generalPurpose / informal @qa-engineer)、QC 三审与 using-git-worktrees 的叠用约束、与 @explore 的关系、快速去歧义规则。@project-manager 在 Assignment 写 Superpowers 行前必读;任何承接方遇到 Superpowers 技能名前必读以判定是否冲突;@prompt-engineer 修改技能相关规则前必读。按角色必用/宜用详表与张力/消解对照见 references/。

Quick start

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Use the Mstar Host Opencode skill to help with my task.
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AI Agent Workflow Collection | Agent Skills Atlas