Apollo Overview

给你一张完整的方法论地图，告诉你从想法到成品每步该做什么。

Security Scan

The skill is a high-level orchestration/specification for an Apollo suite but the package is only a short instruction file and its metadata is inconsistent; it claims many sub-skills without declaring or including them.

Purpose & Capability

The SKILL.md describes a multi-skill 'Apollo' toolkit (many subcomponents like apollo-workflow, apollo-parallel, apollo-verification, etc.) but the package contains only a single instruction file and no dependencies or sub-skill implementations. There is no install spec or dependency list explaining how those sub-skills are provided. Additionally, the included _meta.json has different ownerId/slug/version values (appears to be copy-paste from a different skill), which is an incoherence in the package metadata.

Instruction Scope

The runtime instructions are high-level methodology text and trigger phrases (e.g., '开发新功能'), and do not instruct reading local files, environment variables, or external endpoints. However, they imply orchestration of multiple subagents/skills; because those subagents are not present or declared, the instructions are incomplete and may rely on the agent invoking other installed skills or external components to fulfill the workflow.

Install Mechanism

No install spec is provided and the skill is instruction-only, which minimizes installation risk (nothing is written to disk).

Credentials

The skill does not request any environment variables, credentials, or config paths, which is consistent with an instruction-only methodology guide.

Persistence & Privilege

always is false and disable-model-invocation is default (agent may invoke autonomously), which is normal. There is no request for elevated or persistent system privileges.

What to consider before installing

This package looks like a high-level playbook for an 'Apollo' agent suite rather than an actual runnable skill bundle. Before installing or relying on it: 1) Verify whether the referenced sub-skills (apollo-workflow, apollo-brainstorming, etc.) exist in your environment or are declared as dependencies; without them the skill cannot execute the described pipeline. 2) Compare the registry metadata with the shipped _meta.json — the mismatch (ownerId/slug/version) suggests copy-paste or packaging errors; ask the publisher to clarify. 3) Because it is instruction-only and requests no secrets, it does not directly expose credentials, but it may instruct the agent to call other skills that do — ensure you trust those sub-skills. 4) If you plan to use this for automated agent orchestration, test it in a constrained environment first and require a clear dependency list and updated metadata from the publisher. If the publisher cannot explain the missing sub-skills and metadata mismatch, treat it as untrusted.

Apollo 方法论套件

Apollo是一套结构化AI编码方法论，让AI coding agent变成严谨的工程师而不是盲目写代码的助手。

套件组成

Skill	作用
apollo-workflow	核心Pipeline入口（ brainstorming→plan→subagent→review→finish）
apollo-brainstorming	苏格拉底式提问，搞清楚"真正要做什么"
apollo-planning	把设计拆成2-5分钟的小任务
apollo-parallel	并行派发多个子任务同时工作
apollo-verification	证据先行——说"完成了"之前必须跑验证命令
apollo-debugging	四阶段调试：根因→模式→假设→验证
apollo-mode	开启/关闭严格工程模式
apollo-state-machine	状态机驱动，支持随时打断恢复
apollo-research-synthesis	多人并行研究，最后自己汇总
apollo-timeout	超时容错，不卡死整个流程
apollo-multi-round	复杂任务多轮确认，不闷头跑到底
apollo-dream	像睡觉做梦一样整理记忆

核心原则

1. Spec-first — 先写规格，再写代码
2. TDD — 先写失败测试，再写实现
3. Subagent驱动 — 并行执行，小步迭代
4. 证据说话 — 说"完成了"必须有验证结果

使用方式

当用户说"开发新功能"、"修bug"、"写计划"、"开始项目"时触发。