Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计提醒

brand-compliance品牌合规性

Agent Skill

brand-compliance 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

466

周安装

20

GitHub Stars

25

下载量

163
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:brand-compliance(品牌合规性)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/brand-compliance
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill brand-compliance
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/oimiragieo/agent-studio --skill brand-compliance

简介

brand-compliance 用于审核品牌相关内容是否符合规范,涵盖文案语法、术语使用、视觉元素合规性及跨渠道一致性检查。

  • 它可应用于营销稿件、社交媒体内容或设计资产的预审,降低品牌风险并保障对外传播的专业性。
  • 通过结构化流程验证语言风格、标点规则与品牌禁用词,输出具体修正建议与改进方向。
  • 使用前请确认是否接入企业品牌指南数据库,避免因本地规则缺失导致误判。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Brand Compliance Skill

When to Invoke

Invoke this skill when:

  • Reviewing marketing copy, blog posts, product descriptions, or social content
  • Auditing design assets, landing pages, or campaign materials
  • Checking brand guideline compliance before content goes live
  • Evaluating cross-channel consistency across touchpoints
Skill({ skill: 'brand-compliance' });

Execution Process

Step 1: Style Guide Validation

Check written content against the brand's style guide:

Grammar and Language:

  • Preferred terminology vs. prohibited terms
  • Capitalization rules (product names, features, company name)
  • Punctuation style (Oxford comma, em-dash usage, etc.)
  • Abbreviation and acronym policy

Formatting:

  • Heading hierarchy and casing
  • List punctuation and structure
  • Number formatting (when to spell out vs. use digits)
  • Date and time format conventions

Output: List each violation with exact text, rule violated, severity, and suggested fix.

Step 2: Tone of Voice Checking

Score content against the brand voice profile across key dimensions:

Voice Dimensions (score 1–5 per dimension):

  • Formality: 1 (casual/conversational) — 5 (formal/corporate)
  • Warmth: 1 (distant/clinical) — 5 (approachable/human)
  • Authority: 1 (tentative) — 5 (confident/expert)
  • Energy: 1 (calm/measured) — 5 (bold/energetic)

Tone Analysis:

  1. Extract 3–5 representative passages from the content
  2. Score each passage on the four dimensions
  3. Compare against the target voice profile
  4. Flag passages that deviate >1 point from target
  5. Provide 2–3 rewrite suggestions for flagged passages

Default voice profile (use when brand profile not provided):

  • Formality: 3, Warmth: 4, Authority: 4, Energy: 3

Step 3: Visual Identity Audit

When reviewing design assets or code with visual specifications:

Logo Usage:

  • Correct logo variant (primary, secondary, icon-only)
  • Minimum size requirements
  • Clear space / exclusion zone compliance
  • Prohibited alterations (rotation, distortion, color changes)

Color Palette:

  • Only approved palette colors used
  • Correct hex/RGB values (flag approximations)
  • Accessibility contrast ratios (WCAG AA minimum)

Typography:

  • Approved font families only
  • Correct weight/style combinations
  • Type scale hierarchy compliance

Imagery and Icons:

  • Photography style consistency
  • Icon language consistency (line weight, style, corner radius)

Step 4: Brand Asset Management Review

Verify asset usage compliance:

Asset Categories:

  • APPROVED: Current, compliant versions
  • DEPRECATED: Old versions — flag for replacement
  • RESTRICTED: Context-limited assets — verify usage context

Checks:

  • Assets sourced from approved DAM or asset library
  • Version currency (not using outdated logo versions)
  • Usage rights verified for photography/illustrations

Step 5: Cross-Channel Coherence

Evaluate consistency across channels when multiple touchpoints are provided:

Core Brand Elements (must be consistent across all channels):

  • Brand name formatting
  • Key taglines and value propositions
  • Color palette adherence
  • Typography choices

Channel-Specific Adaptations (acceptable variations):

  • Image aspect ratios
  • Copy length
  • CTA phrasing for platform norms

Coherence Score: Rate 1–5 per channel pair reviewed.

Step 6: Generate Compliance Report

Produce a structured report:

# Brand Compliance Report

**Content/Asset:** [name]
**Date:** [date]
**Audited By:** brand-compliance skill

## Summary

- Total Findings: N
- Errors (Blocking): N
- Warnings (Informational): N
- Passed: N

## Findings

| #   | Area   | Finding                              | Severity | Suggested Fix      |
| --- | ------ | ------------------------------------ | -------- | ------------------ |
| 1   | Style  | [exact text] uses "..." (prohibited) | ERROR    | Replace with "..." |
| 2   | Tone   | Formality score 5 vs. target 3       | WARNING  | Rephrase: "..."    |
| 3   | Visual | Logo minimum size violated           | ERROR    | Use 40px minimum   |

## Tone Score

| Dimension | Target | Actual | Delta | Status |
| --------- | ------ | ------ | ----- | ------ |
| Formality | 3      | 4      | +1    | WARN   |
| Warmth    | 4      | 4      | 0     | PASS   |
| Authority | 4      | 3      | -1    | WARN   |
| Energy    | 3      | 3      | 0     | PASS   |

## Overall Compliance Score

[N]% compliant (errors weighted 3x, warnings weighted 1x)

## Next Steps

1. [Action for error #1]
2. [Action for error #2]

Example 1: Copy Audit

User: "Review this product description for brand compliance"
Agent: [Reads content → runs Steps 1–2 → produces findings table with severity]
Output: 3 errors (prohibited terms, wrong capitalization), 2 warnings (tone slightly too formal), 92% compliance score

Example 2: Visual Asset Audit

User: "Check this landing page design for brand compliance"
Agent: [Reads design specs/CSS → runs Steps 3–5 → produces visual findings]
Output: 1 error (off-palette color #E5E5E5 used), 3 warnings (typography weight inconsistency), 88% compliance

Example 3: Cross-Channel Review

User: "Compare our Instagram and web copy for brand coherence"
Agent: [Reads both → runs Step 5 → coherence score]
Output: 85% coherent, tagline wording differs across channels (warning), CTA variations acceptable

Enforcement Hooks

Input validated against schemas/input.schema.json before execution. Output contract defined in schemas/output.schema.json. Pre-execution hook: hooks/pre-execute.cjs Post-execution hook: hooks/post-execute.cjs (emits observability event)

Iron Laws

  1. ALWAYS validate before publish, not after — catching violations at creation time reduces rework by 65%; post-publish fixes compound reputation cost.
  2. ALWAYS score tone against an explicit voice profile — subjective tone judgments without a baseline are inconsistent and contestable; require a target profile as input.
  3. ALWAYS separate error (blocking) from warning (informational) — blocking on warnings creates friction that causes teams to disable compliance checks entirely.
  4. ALWAYS provide specific remediation, not just flags — reports with 2–3 concrete rewrite suggestions have near-100% resolution rates vs. 30% for "tone is off" messages.
  5. ALWAYS use design tokens as ground truth for visual checks — check against tokens.json or approved color/type files when available, not just memory.

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Blocking CI on warningsExcessive friction disables compliance checksBlock only on errors (severity: ERROR); log warnings
Tone feedback without target profileSubjective judgments are inconsistentRequire or default to a numeric voice profile
Generic "off-brand" findingsNo actionable remediationEvery finding must include suggested fix text
Auditing only written copy, ignoring visualBrand violations are often visualRun all 5 audit steps unless scope explicitly limited
Approving assets without version checkDeprecated assets slip throughAlways verify asset version against approved DAM

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

  • New brand pattern discovered → .claude/context/memory/learnings.md
  • Issue with brand guideline gaps → .claude/context/memory/issues.md
  • Brand voice profile decision → .claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

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

36.66%
按下载量换算60

Claude

31.05%
按下载量换算51

Cursor

19.1%
按下载量换算31

Gemini CLI

10.27%
按下载量换算17

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

继续浏览同类 Skills