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normalize-agent-for-claudenormalize Agent FOR Claude 搜索

Agent Skill

normalize-agent-for-claude 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

494

周安装

21

GitHub Stars

公开资料未说明

下载量

173
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:normalize-agent-for-claude(normalize Agent FOR Claude 搜索)
来源仓库:https://github.com/ulpi-io/skills
仓库路径:skills/normalize-agent-for-claude
安装命令:
npx skills add https://github.com/ulpi-io/skills --skill normalize-agent-for-claude
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ulpi-io/skills --skill normalize-agent-for-claude

简介

normalize-agent-for-claude 用于查找、检索和筛选相关信息,适合 Agent 标准化支持任务。

  • 适用于 Codex、Claude、Cursor 和 Gemini CLI,支持基于关键词快速定位相关内容。
  • 可通过 GitHub 仓库和原始 README 继续核验具体实现细节。
  • 安装前应确认权限范围和维护状态,避免误触发操作。
  • 建议在低风险任务中先行测试,确保不影响整体流程。

SKILL.md

Non-negotiable rules:

  1. Read references/claude-agent-runtime.md before planning or rewriting.
  2. Default to --mode plan unless the user explicitly asks for rewrite now.
  3. Keep the body lean because the full markdown body becomes the agent system prompt.
  4. Use frontmatter for runtime controls before adding more prose.
  5. Never preload large skills into agent frontmatter unless they have already been slimmed and justified.
  6. Never add skill-only frontmatter to an agent. allowed-tools, argument-hint, arguments, when_to_use, disable-model-invocation, user-invocable, context, agent, shell, and paths belong to skills, not agents.

Normalize Agent For Claude

Inputs

  • $target: Agent directory or direct path to AGENT.md
  • $mode: Optional. plan or rewrite. Default: plan

Goal

Produce a Claude Code optimized agent that carries role identity and constraints cleanly, uses frontmatter intentionally, and avoids wasting prompt budget on procedural bulk that belongs in skills or shared rules.

Step 1: Resolve the target

  1. Accept either an agent directory or a direct AGENT.md path.
  2. Normalize to the agent root and confirm AGENT.md exists.
  3. Determine mode:

- --mode rewrite means plan first, then rewrite in the same run - missing mode means plan

  1. Inventory the current agent:

- line count of AGENT.md - existing frontmatter fields - section map of the body - obvious duplicated global policy or giant knowledge catalogs

Success criteria: You know the exact target agent, target mode, and the current prompt-shape risks.

Step 2: Load the Claude Code agent runtime anchors

Read references/claude-agent-runtime.md fully before making any recommendation.

Extract these constraints from the reference:

  • agent description becomes whenToUse
  • the whole markdown body becomes the system prompt
  • Claude supports richer agent frontmatter than most custom agents use
  • agent skills: preloads full skill content
  • tool allow and deny lists are enforced at runtime
  • repo-wide project rules already have a separate instruction hierarchy
  • agent rewrites must use agent-native frontmatter only, not skill-native headers

If this repository contains claude-code-source/, use the exact source files named in the reference to verify unusual frontmatter or isolation decisions.

Success criteria: Every planned change is backed by specific Claude runtime behavior.

Step 3: Audit the current agent against Claude's runtime

Evaluate the target agent using this checklist:

  1. Identity vs procedure

- What content is true role identity? (role definition, expertise bullets, decision heuristics, domain knowledge, traits) - What content is actually workflow and should live in skills? (step-by-step procedures, shell commands, templates, checklists) - Role-specific expertise lists and decision heuristics are IDENTITY — they stay in the body. Only move *procedure* into skills or references.

  1. Prompt mass

- Which large sections exist only because the current agent is compensating for missing skills or shared rules?

  1. Frontmatter opportunities

- Would disallowedTools, skills, initialPrompt, hooks, permissionMode, maxTurns, background, memory, or isolation improve runtime behavior? - Are there any skill-only headers that must be removed or explicitly avoided?

  1. Tool surface

- Is the tool list broader than the role actually needs?

  1. Skill preload risk

- Would adding a skill to frontmatter create prompt bloat because the skill is still too large?

  1. Instruction duplication

- Are repo-wide rules duplicated here even though Claude already loads project memory separately?

Classify each issue:

  • PROMPT: body is too large or carries the wrong content
  • RUNTIME: missing or misused Claude frontmatter
  • TOOLS: tool exposure is too broad or too vague
  • DUPLICATION: project policy is duplicated in agent body
  • EXTRACTION: content should move into skills or references

Success criteria: You have a concrete, source-backed explanation of what should stay, move, or shrink.

Step 4: Write the per-agent DAG plan

Create both of these artifacts:

  • .ulpi/plans/agents/<agent-name>-normalize-for-claude.md
  • .ulpi/plans/agents/<agent-name>-normalize-for-claude.json

The plan must include:

  1. Current state

- line count - current frontmatter - oversized sections - duplicated global policy

  1. Claude runtime findings

- each finding mapped to source references from references/claude-agent-runtime.md

  1. Target state

- final frontmatter shape - body sections to keep, delete, or move - skills or references the agent should depend on instead

  1. DAG tasks

- frontmatter rewrite - prompt-body reduction - procedure extraction into skills or references - tool-surface tightening - validation

  1. Guardrails

- what identity must stay - what must move out - what must not be preloaded

  1. Validation

- concrete checks to confirm the final agent is structurally sound

Each DAG task should include:

  • id
  • title
  • rationale
  • filesToModify
  • filesToCreate
  • dependencies
  • validation

Success criteria: The markdown and JSON plans describe the same safe sequence of work.

Step 5: Rewrite only if requested

If mode is plan, stop after writing the DAG artifacts.

If mode is rewrite:

  1. Rewrite the frontmatter first.
  2. Reduce the body to:

- role and expertise (specific domain knowledge and capability claims) - scope - decision heuristics (how to choose between approaches) - failure boundaries - output contract - brief skill handoff guidance

  1. Move repeated procedures and large examples out of the agent. Keep role expertise bullets and decision heuristics — these are identity, not procedure.
  2. Add Claude-native frontmatter only when it changes runtime behavior materially.
  3. Keep the result role-specific, not generic.

Preferred rewrite outcomes:

  • agent description becomes a strong whenToUse
  • body becomes much smaller and more identity-focused
  • disallowedTools and tighter tools are used where appropriate
  • skills: is used sparingly and only for already-slim skills
  • duplicated project rules are removed from the body
  • no skill-only headers are introduced into the rewritten agent

Success criteria: The rewritten agent is thinner, more precise, and better aligned to Claude's runtime model.

Step 6: Validate the result

After planning or rewriting:

  1. Re-read the final AGENT.md.
  2. Confirm the frontmatter reflects real runtime decisions.
  3. Confirm the body is mostly identity, scope, heuristics, and boundaries.
  4. Confirm no skill-only headers were introduced.
  5. Confirm large procedure blocks are gone or explicitly moved.
  6. Confirm the summary names the Claude source anchors that drove the major changes.

Success criteria: The output can be used immediately without re-interpreting why the structure changed.

Output Contract

Always report:

  1. Agent: target path and normalized root
  2. Mode: plan or rewrite
  3. Top runtime issues: the highest-value Claude mismatches
  4. Artifacts: exact plan or rewritten file paths
  5. Guardrails applied: 3 to 5 bullets tied to Claude runtime behavior

If rewrite mode was used, also report:

  • which sections were removed or moved
  • which frontmatter fields were added, removed, or intentionally omitted

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.44%
按下载量换算63

Claude

28.1%
按下载量换算49

Cursor

18.85%
按下载量换算33

Gemini CLI

8.49%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/ulpi-io/skills --skill normalize-agent-for-claude 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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