Agent分析
- 作者仓库星标 1,039
- 作者更新于 实时读取
- 作者仓库 MassGen
- 领域
- AI 智能
- 兼容 Agent
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- Claude Code
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- Windsurf
- Gemini CLI
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- 作者 / 版本 / 许可
- @massgen · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
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- 只读
- 允许写入 / 修改
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: skill-organizer
description: Analyze, reorganize, and catalog all installed skills. Merges overlapping skills, restructures t…
category: AI 智能
runtime: 无特殊运行时
---
# skill-organizer 输出预览
## PART A: 任务判断
- 适用问题:提示词、Agent 工作流、模型评估或自动化推理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Why This Exists / Workflow / Step 1: Inventory”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于提示词、Agent 工作流、模型评估或自动化推理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Why This Exists / Workflow / Step 1: Inventory”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“Why This Exists / Workflow / Step 1: Inventory”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: skill-organizer
description: Analyze, reorganize, and catalog all installed skills. Merges overlapping skills, restructures t…
category: AI 智能
source: massgen/MassGen
---
# skill-organizer
## 什么时候使用
- 把 AI / Agent方向的常用动作沉淀成 Agent 可调用的技能 适合处理AI Agent、提示词、模型评估与自动化推理,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查…
- 面向提示词、Agent 工作流、模型评估或自动化推理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Why This Exists / Workflow / Step 1: Inventory」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "skill-organizer" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Why This Exists / Workflow / Step 1: Inventory
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Skill Organizer
Reads all installed skills, identifies overlaps and confusability, merges where
appropriate, and produces a compact SKILL_REGISTRY.md that serves as a routing
guide in agent system prompts.
Why This Exists
Models have a skill selection capacity (kappa) of approximately 50-100 items. Beyond that, selection accuracy degrades. As skills accumulate through log analysis and manual creation, the skill library can cross this threshold. This skill keeps the library organized and the routing guide compact.
Reference: Scaling LLM Agents with Skill Libraries
Workflow
Step 1: Inventory
List all skill directories in the .agent/skills/ folder.
Then read each skill's SKILL.md to understand scope, quality, and overlap. Each skill lives in a subdirectory of .agent/skills/ with a SKILL.md file.
Step 2: Identify overlapping or confusable skills
Look for:
- Skills that do the same thing with slightly different names
- Skills whose scopes significantly overlap (one is a subset of another)
- Skills that could be combined into a single broader skill with multiple sections
- Near-duplicate skills created from different log analysis sessions
Step 3: Merge into hierarchical parent skills
For each group of overlapping or related skills, create a single parent skill with sections covering each sub-capability:
- Choose a broader parent name and directory (e.g.,
web-app-devinstead of separatereact-frontend,nodejs-backend,web-testing) - Write one comprehensive SKILL.md with clearly labeled sections for each sub-capability. Each section should be self-contained enough that an agent can read just that section for a focused task.
- Move bundled resources (templates, examples, configs) from merged skills into subdirectories of the parent skill directory.
- Remove the redundant skill directories.
When merging, prefer the skill with:
- Better-quality instructions and examples
- More complete bundled resources
- A more descriptive, general name
The goal is fewer, richer skills — a parent skill with 4 well-written sections is better than 4 separate shallow skills.
Step 4: Generate SKILL_REGISTRY.md
Write .agent/skills/SKILL_REGISTRY.md as a compact routing guide:
# Skill Registry
## <Category> (<count>)
- **skill-name**: What it does in one sentence.
Use when: <trigger condition — when should the agent read this skill?>
Sections: <comma-separated list of sections/sub-capabilities within the skill>
- **skill-name**: What it does in one sentence.
Use when: <trigger condition>
## Recently Added
- **new-skill** (project): Frontmatter description — not yet categorized
The registry should:
- Group skills by purpose/domain (not alphabetically)
- For each skill, include: what it does, when to read it, and what sections it contains
- The "Use when" line is critical — it tells agents when to load the full SKILL.md
- The "Sections" line (when applicable) shows what sub-capabilities live inside the skill
- Stay under 50 entries total (merge aggressively if needed)
- Include a "Recently Added" section for skills created since last organization
- NOT duplicate full skill content, just enough for selection routing
Step 5: Report
Summarize what you did:
- How many skills were found
- Which skills were merged (old names -> new name)
- Which skills were kept as-is
- The final registry structure
Constraints
- Do NOT use keyword matching, Jaccard similarity, or heuristic categorization. Use your understanding of what each skill does.
- Be aggressive about merging: fewer high-quality skills beats many overlapping ones.
- Preserve all bundled resources (templates, examples, configs) during merges.
- The SKILL_REGISTRY.md is a routing guide, not documentation. Keep it concise.
- Skills in
massgen/skills/(builtin) should not be merged or deleted, only cataloged in the registry.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核