brainstorm-okrs

brainstorm-okrs is a skill for Claude Code from killvxk/pm-skills-zh. It costs 65 tokens per session (1,168 once invoked), scanned A, original, MIT.

An OKR planning guide for teams. OKRs, or objectives and key results, pair a clear qualitative goal with measurable results that show progress toward it.

In plain words
What is it for?
Use it to draft quarterly team OKRs, align goals with company strategy, create measurable objectives, or compare several possible OKR plans.
Why use it?
It helps connect a team’s work to company strategy and prevents goals from staying vague. It also separates long-term tracking metrics from the specific results used for a given period.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Part of the pm-execution plugin — 15 skills, 10 commands shipped together

Good fit Use it to draft quarterly team OKRs, align goals with company strategy, create measurable objectives, or compare several possible OKR plans.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/killvxk/pm-skills-zh/brainstorm-okrs
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.

Any agent
npx skills add killvxk/pm-skills-zh --skill brainstorm-okrs
Clone the repo
git clone --depth 1 https://github.com/killvxk/pm-skills-zh

Made for: Claude Code.

Or install pm-execution, the plugin that ships this one along with the rest of its 15 skills, 10 commands.

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 brainstorm-okrs

README.md
[![agentmods](https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/brainstorm-okrs/github.svg)](https://agentmods.dev/skills/killvxk/pm-skills-zh/brainstorm-okrs)
Your own site
<a href="https://agentmods.dev/skills/killvxk/pm-skills-zh/brainstorm-okrs"><img src="https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/brainstorm-okrs/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for brainstorm-okrs

Your own site · 80×15
<a href="https://agentmods.dev/skills/killvxk/pm-skills-zh/brainstorm-okrs"><img src="https://agentmods.dev/badge/skills/killvxk/pm-skills-zh/brainstorm-okrs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,168 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00065 $0.01168
Opus 5 $0.00032 $0.00584
Sonnet 5 $0.00013 $0.00234
Haiku 4.5 $0.00006 $0.00117

Measured 12d ago against content hash 6e4e3262c1cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

brainstorm-okrs 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 12d 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.

pm-execution/skills/brainstorm-okrs/SKILL.md · 81 lines

What it actually says

集思广益制定团队 OKR

Purpose(目的)

你是一位资深产品负责人,负责为 $ARGUMENTS 团队定义 OKR(目标与关键成果)。你的 OKR 必须有挑战性、可衡量,并与公司整体战略明确对齐。

Context(背景)

OKR 通过将鼓舞人心的定性目标与可衡量的定量关键成果相结合,在愿景与执行之间架起桥梁。本技能生成三套备选 OKR 方案,以激发战略讨论。

Domain Context(领域背景)

OKR(Christina Wodtke,《Radical Focus》):

  • 目标(Objective)(为什么、做什么、何时):定性的、鼓舞人心的、有时间限制的目标。通常为季度目标,应符合 SMART 原则。
  • 关键成果(Key Results)(多少):量化指标(通常 3 个)及其预期值。

OKR、KPI 和北极星指标(NSM, North Star Metric)相互关联,而非相互替代。 不要用表格对比它们而不解释其关系:

  • 关键成果始终指量化指标,其中一些可能也是 KPI。
  • KPI(关键绩效指标)= 少数几个长期跟踪的核心量化指标。可用作关键成果、健康指标(OKR 的平衡实践),或可针对 KPI 的输入指标设置关键成果。
  • 北极星指标(NSM) = 单一的、以客户为中心的 KPI,是业务成功的领先指标。可以用关键成果来表达 NSM 的预期变化。

OKR 的核心在于:(1)设定单一、鼓舞人心的目标;(2)赋权团队自主确定最优方案;(3)持续监测进展,从失败中学习,不断改进。

Instructions(操作指南)

  1. 收集背景信息:如果用户提供了公司目标、战略文件或团队背景作为文件,请仔细阅读。如果他们提到公司战略,可使用网络搜索了解同类产品的行业基准和最佳实践。

  2. 理解框架:OKR 包含两个组成部分:

    • 目标(Objective):描述方向意图的定性、鼓舞人心的目标
    • 关键成果(Key Results):衡量目标达成进度的 3 个量化指标(通常)
  3. 逐步思考

    • 公司战略是什么?
    • 团队能影响的最重要的 3-5 个方向是什么?
    • 团队工作如何支撑公司目标?
    • 对客户和业务来说,成功是什么样的?
  4. 生成三套 OKR 方案:为 $ARGUMENTS 团队创建三套各有特色、有挑战性的 OKR 选项。对于每套方案:

    • 从清晰、鼓舞人心的目标陈述开始
    • 定义恰好 3 个关键成果,满足以下条件:
      • 可衡量(能用数字追踪)
      • 可实现但有挑战(置信度 60-70%)
      • 与公司战略对齐
  5. 示例格式

    目标:让新用户享受轻松愉快的引导体验
    关键成果:
    - 引导调研 CSAT 评分 >= 75%
    - 66% 以上的用户在两天内完成引导
    - 平均首次价值实现时间(TTV)<= 20 分钟
    
  6. 结构化输出:以相同权重展示三套 OKR 方案。每套包含:

    • 目标(1-2 句话)
    • 三个关键成果(含具体指标和目标值)
    • 简短理由(为什么这对公司和团队很重要)
  7. 保存输出:如内容较多,保存为 Markdown 文档:OKRs-[团队名称]-[季度].md

Notes(注意事项)

  • 确保每个关键成果可独立衡量
  • 避免以产出为导向的指标(如"发布 5 个功能"),聚焦于成果
  • 三套 OKR 方案应同等可信,而非一套明显优于其他
  • 标注任何关于数据可用性的假设

Further Reading(延伸阅读)

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. 12d ago First seen · 81 lines · 65 tokens per session scan A 6e4e3262c1cc

Subscribe to this mod's changes

brainstorm-okrs is a skill published in the GitHub repository killvxk/pm-skills-zh (159 stars, last pushed 6mo ago), licensed MIT. It adds 65 tokens to every session and 1,168 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens