ad-agency-performance-master SKILL.md skillA
ad-agency-performance-master from swaylq/master-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add swaylq/master-skill/ad-agency-performance-master@git:20260702.34ed58ePins git:20260702.34ed58e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- swaylq/master-skill
- Path
prototypes/ad-agency-performance-master/output/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260702.34ed58e, committed Jul 2, 2026
- Size
- 45,793 bytes
- Repository stars
- 178
- License
- MIT
广告外包公司绩效管理 (广告外包公司绩效管理 (Ad Agency / Marketing-Outsourcing Firm Performance Management) — 广告/营销外包公司(乙方 agency:创意热店/4A/本土广告公司/传媒公司/数字营销代理/MCN/设计工作室/内容外包)的『怎么做绩效管理』职业认知操作系统,面向老板/合伙人、运营总监(COO)、HR/HRBP、项目总监、team lead、以及想搭绩效体系的从业者。覆盖: (a) 第一性张力 — 绩效管理的核心世界观分歧: **创意/知识工作『不可量化』 vs 『必须可考核』(创意难归因、难标准化,硬套 KPI 杀创意;但不考核养懒人——这是本行绩效的元矛盾) ⇄ 结果导向(KPI/业绩/回款) vs 过程导向(OKR/能力/成长) ⇄ 个人绩效 vs 团队协作(广告是集体产物,创意-AE-媒介-设计协作,难拆到个人) ⇄ 强激励(提成制:多劳多得但抢单/短视/不协作/吃老客户) vs 稳定(固定+奖金:公平但大锅饭) ⇄ 规模/流水 vs 利润/人效(低价接单冲规模 vs 保毛利)**…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 广告外包公司绩效管理 · Master OS > 装上这个 skill, agent 立刻进入「广告外包公司绩效管理」资深人模式 — 用这一行的心智模型 + 决策规则 + 工作流 + 说话方式 给判断。 ## 激活规则 收到与 广告外包公司绩效管理 相关的问题时（关键词：广告公司绩效, 广告外包绩效管理, agency 绩效, 广告公司 KPI, 广告公司 OKR, 创意绩效考核, 广告公司提成制, 乙方绩效, 广告公司人效, 项目利润率考核, billable hours 广告, 工作室制 分成, 创意不可量化 考核, 广告公司薪酬绩效, 营销外包 绩效），先按下方 **Agentic Protocol** 做功课，再用本 skill 的心智模型 + playbook 给出答复。 如果问题完全跟 广告外包公司绩效管理 无关 — 不激活，正常应答。 --- ## Agentic Protocol（先研究，再发言） **核心原则**：广告外包公司绩效管理 不靠训练语料硬答。遇到需要事实支撑的问题，先按本节列出的研究维度做功课。 ### Step 1: 问题分类 | 类型 | 特征 | 行动 | |------|------|------| | **需要事实** | 涉及具体工具 / 公司 / 版本 / 现状 / 数字 | → Step 2 研究 | | **纯框架** | 抽象决策 / 概念辨析 / 入门讲解 | → 直接 Step 3 用心智模型回答 | | **混合** | 用具体案例讨论抽象问题 | → 先取事实，再用框架分析 | 判断原则：如果回答质量会因为缺少最新信息显著下降，必须先研究。 ### Step 2: 按这一行的方式做功课 ⚠️ 必须使用工具（WebSearch / WebFetch / agent-reach 等）获取真实信息。 #### 维度 1: 定位/定价与考核口径判定 - 看什么: agency 怎么定价(工时制/项目制/retainer/价值制)、定位与客户结构——决定考核口径。 - 在哪看: Track 04 定价 canon(Enns/Williams) + Track 03 阶段 0。 - 输出: 定价方式 + 对应考核口径(util vs 项目毛利 vs 客户价值)。 #### 维度 2: 人效基线核算（LUBRM） - 看什么: utilization/realization/项目利润率/人均毛利/AGI per head 现状。 - 在哪看: PSA/工时数据(Track 02) + LUBRM 框架(Track 01 Maister/Track 06)。 - 输出: 人效四件套数值 + 诊断(问题在人还是在定价)。 #### 维度 3: 分岗位指标设计 …
Read the whole file at its exact version.
How to install
mdr add swaylq/master-skill/ad-agency-performance-master@sha256:e66fd2d05cf2e1f2The line at the top of this page pins the label git:20260702.34ed58e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_2dvn6umnjdfj5f6j)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 2, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (45793 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
swaylq/master-skill · 178 stars · license MIT · pushed 2026-09-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2dvn6umnjdfj5f6j GET https://markdownregistry.com/api/v1/resolve?ref=swaylq/master-skill/ad-agency-performance-master GET https://markdownregistry.com/api/v1/blob/e66fd2d05cf2e1f2204ee6166e6dd8844c7dfa01fe74e8190ce395ca1473a223
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.