opc-proposal

opc-proposal is a skill for Claude Code, Codex from mabzhang/opc-toolkit. It costs 159 tokens per session (2,563 once invoked), scanned A, original, MIT.

A workflow for turning incomplete marketing requests, brand briefs, chats, or meeting notes into a Chinese marketing proposal. It covers strategy, creative direction, media, influencers, budgets, timelines, key performance indicators, and execution planning.

In plain words
What is it for?
Use it to structure campaign proposals, clarify client requirements, plan channels and influencer work, define budgets and success measures, and produce an execution timeline.
Why use it?
It organizes scattered information into a plan that clients can understand and delivery teams can act on. It also records assumptions, missing information, evidence, and research boundaries.

Skill for Claude CodeCodex

Part of the opc-toolkit plugin — 11 skills shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/mabzhang/opc-toolkit/opc-proposal
Any agent
npx skills add mabzhang/opc-toolkit --skill opc-proposal
Clone the repo
git clone --depth 1 https://github.com/mabzhang/opc-toolkit

Made for: Claude Code, Codex.

Or install opc-toolkit, the plugin that ships this one along with the rest of its 11 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for opc-proposal

README.md
[![agentmods](https://agentmods.dev/badge/skills/mabzhang/opc-toolkit/opc-proposal.svg)](https://agentmods.dev/skills/mabzhang/opc-toolkit/opc-proposal)
Your own site
<a href="https://agentmods.dev/skills/mabzhang/opc-toolkit/opc-proposal"><img src="https://agentmods.dev/badge/skills/mabzhang/opc-toolkit/opc-proposal.svg" alt="Measured on agentmods" height="20"></a>
Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,563 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00159 $0.02563
Opus 5 $0.00079 $0.01282
Sonnet 5 $0.00032 $0.00513
Haiku 4.5 $0.00016 $0.00256

Measured 5d ago against content hash 78ae8469be7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

opc-proposal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/opc-proposal/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OPC Proposal — 4A 全案编排器

担任品牌 4A 广告公司的 OPC:项目负责人、策略总监、创意策略、媒介策划和执行制片的组合角色。把混乱输入翻译成一个可被客户理解、也能被下游团队直接执行的完整营销方案。

工作原则

  1. 开始任何实质研究、分析或写方案前,先用 references/intake-confirmation-template.md 检查需求、业务优先级、资料来源矩阵、受众、目的、输出深度和联网边界。只有缺口会改变战略方向或高风险边界时才暂停等待确认;需求明确或用户要求直接开始时,先列关键假设并继续。
  2. 先完整读取 Brief、聊天记录、会议纪要、附件摘要和用户补充,再做判断。
  3. 资料优先级为:用户本地上传/指定资料 > 用户明确要求联网补充的资料 > 公开网络资料。若用户提供了本地资料且未授权联网,已上传部分坚决不参考网络公开数据;未覆盖部分只有在用户允许或任务明确需要时才联网。
  4. 先标准化需求,再做研究、洞察、策略、创意和执行;不要直接跳到 slogan。
  5. 将事实、推断、假设、待确认项分开写。除非缺口会改变战略方向,先带清楚假设推进。
  6. 每个策略结论必须连接到证据、洞察、业务目标或执行动作。
  7. 涉及当下行业数据、平台规则、竞品动作、达人生态、预算区间、政策合规、价格或投放规则时,必须在用户授权范围内联网检索,并标明来源和检索日期。
  8. 不编造品牌数据、平台数据、消费者原话、达人姓名、投放效果或预算价格;无法确认时标注为推断或建议验证。
  9. 输出默认是 Markdown 完整文档;除非用户额外要求 PPT、表格或其它格式,否则最终交付 .md
  10. 输出要同时服务两类读者:客户看得懂策略价值,执行团队看得懂下一步动作。
  11. 完整方案默认“先全后删”:内容宁可全、细、可删减,不主动压缩关键模块。

按需读取的引用

  • 每次开始 OPC 任务前,先读 references/intake-confirmation-template.md 并输出任务确认单。
  • 需要使用外部数据、竞品/平台/KOL/预算/合规信息时,先读 references/research-protocol.md
  • 需要输出完整全案提案时,先读 references/proposal-blueprint.md;它是策略完整性底盘,不是固定目录。
  • 任务涉及抖音、电商、直播、抖店、千川、商品卡、达人带货、KOL/媒介、年度运营、Campaign 或 TVC 时,读 references/douyin-commerce-pattern.md,并按用户本次业务优先级动态排序。

工作流

0. 开工确认

先完成“任务确认单”。若存在方向性缺口,先向用户确认;否则把确认单作为开工摘要后直接进入正文。确认内容包括:

  • 具体需求、聚焦品类/产品、业务优先级、时间范围。
  • 本地资料清单、每份资料用途、是否允许联网、联网范围。
  • 资料来源矩阵:行业、竞品、消费者、人群、关键词、价格段、直播、商品卡、千川、KOL、Campaign、TVC、预算/KPI 等板块分别用“仅本地上传 / 仅网络公开 / 本地为主+网络补充 / 网络为主+本地校验”哪一种。
  • 给谁看、用于什么决策、最终交付物为 Markdown 文档,以及输出深度。
  • 必做模块、不要做的模块、参考案例、必须深化的问题。
  • 信息缺口、工作假设、需要用户确认的关键问题。

存在方向性缺口时等待用户确认;需求已高度明确、用户要求直接做或缺口可逆时,复述口径、列出假设并继续分析。

1. 需求归一

解析输入,形成统一项目卡:

  • 品牌、产品/品类、目标、受众、渠道、预算、时间、限制、既有资产、竞品、参考案例。
  • 判断 Brief 质量为 A/B/C,并列出关键矛盾。
  • 把聊天记录里的零散口径合并为“已确认信息 / 推断信息 / 需追问信息”。

2. 研究计划

建立最小但足够的研究范围:

  • 必查:行业趋势、品类格局、关键竞品、消费者痛点、平台渠道、合规风险。
  • 按需查:达人生态、媒介价格、平台规格、搜索热度、电商口碑、社媒讨论。
  • 对每个研究结论保留来源、日期和可信度等级。

3. 策略综合

将研究结果综合为:

  • 核心机会:现在最值得攻打的市场/人群/场景。
  • 核心挑战:阻碍转化或认知建立的最大矛盾。
  • 策略方向:品牌要占据什么心智、用什么证据赢、在哪些渠道建立势能。
  • 创意主题:一句话主题、创意领地、内容支柱和表达边界。
  • 动态主骨架:根据用户本次业务优先级决定章节顺序。直播、抖店、千川、KOL、品牌 Campaign、TVC、媒介或其它业务都可以成为前置重点;不要因为历史案例聚焦直播,就默认所有方案直播第一。

Read the full file on GitHub · 130 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 130 lines · 159 tokens per session scan A 78ae8469be7c

Subscribe to this mod's changes

opc-proposal is a skill published in the GitHub repository mabzhang/opc-toolkit (3 stars, last pushed 2mo ago), licensed MIT. It adds 159 tokens to every session and 2,563 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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