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Agent Skill · 待分类

setting-okrs-goals(设定 OKRS 目标)

setting-okrs-goals 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

setting-okrs-goals 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 10,868。

总安装 188周安装 8GitHub Stars 50下载 66核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:setting-okrs-goals(设定 OKRS 目标)
来源仓库:https://github.com/liqiongyu/lenny_skills_plus
仓库路径:skills/setting-okrs-goals
安装命令:
npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill setting-okrs-goals
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/liqiongyu/lenny_skills_plus --skill setting-okrs-goals

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

setting-okrs-goals 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定仓库安装并使用该技能。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/setting-okrs-goals

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill setting-ok…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

setting-okrs-goals 怎么安装?

在终端执行 npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill setting-okrs-goals。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

setting-okrs-goals 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

setting-okrs-goals 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

setting-okrs-goals 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

setting-okrs-goals 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次,GitHub 50 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

setting-okrs-goals 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
setting-okrs-goals

设定 OKRS 目标 · 本页

18850只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Setting OKRs & Goals

Scope

Covers

  • Turning strategy (or a North Star) into a small set of team/company OKRs
  • Writing objectives that drive weekly execution (not just aspirational statements)
  • Designing robust key results (prefer absolute counts; guard against gaming)
  • Adding “default-on” systems/habits that make progress inevitable
  • Defining review cadence + end-of-cycle grading to create a learning loop

When to use

  • “Set our Q2 OKRs.”
  • “Write objectives and key results for this team.”
  • “We need quarterly goals that actually change behavior week-to-week.”
  • “Our metrics are getting gamed / teams are optimizing the wrong thing.”
  • “We need an OKR review + grading process.”

When NOT to use

  • You don’t have an agreed strategy/North Star at all -> use writing-north-star-metrics or defining-product-vision first
  • You need sprint planning or a delivery plan (tickets, estimates, timelines) -> use managing-timelines
  • You’re using OKRs primarily for individual performance evaluation
  • You only need a single experiment metric for one test
  • You need an analytics/event tracking implementation plan from scratch
  • You need to prioritize which initiatives to pursue before setting goals -> use prioritizing-roadmap
  • You need a product vision or strategy document, not just quarterly goals -> use defining-product-vision

Inputs

Minimum required

  • Planning cycle + horizon (e.g., Q2; annual; 6 weeks) and the team(s) in scope
  • Strategy anchor: company goal, North Star, or “why now” narrative for the cycle
  • Current baseline for key metrics (or best-available proxy) + where the numbers come from
  • Constraints: capacity, must-do commitments, dependencies, risk tolerance
  • Stakeholders: decider(s), contributors, approvers, review cadence participants

Missing-info strategy

  • Ask up to 5 questions from references/INTAKE.md.
  • If still missing, proceed with clearly labeled assumptions and provide 2–3 OKR set options (conservative/base/ambitious).

Outputs (deliverables)

Produce an OKR & Goals Pack in Markdown (in-chat; or as files if the user requests), in this order:

  1. Context snapshot (strategy anchor, horizon, scope, constraints, stakeholders)
  2. Alignment map (company goal → team objective(s), no more than one step away)
  3. Draft OKRs (1–3 Objectives; 2–5 Key Results each) with metric definitions, baselines, targets, owners, cadence
  4. Metric robustness + guardrails (anti-gaming checks; ratio/denominator rules; quality guardrails)
  5. Systems & habits plan (“default-on” behaviors/processes that make progress recurring)
  6. Review + grading plan (weekly check-in; mid-cycle checkpoint; end-of-cycle scoring + learning retro)
  7. Risks / Open questions / Next steps (always included)

Templates: references/TEMPLATES.md

Workflow (8 steps)

1) Intake + decision framing

  • Inputs: User context; references/INTAKE.md.
  • Actions: Confirm horizon, scope, strategy anchor, baseline availability, constraints, and decision-maker(s).
  • Outputs: Context snapshot.
  • Checks: Everyone agrees what OKRs are for (alignment + learning), and what they are not (performance evaluation).

2) Establish alignment (“one step away”)

  • Inputs: Strategy anchor; current company goal/North Star.
  • Actions: Write a one-sentence company goal for the cycle; map each proposed team objective to it (no deep cascading).
  • Outputs: Alignment map.
  • Checks: For every team objective, you can answer: “How does this move the company goal within this horizon?”

3) Draft 1–3 Objectives (outcome-first)

  • Inputs: Alignment map; key problems/opportunities.
  • Actions: Draft objectives as outcomes + intent (not projects). Keep the set small.
  • Outputs: Objective list with short rationale (“why now / why this”).
  • Checks: An objective can be understood without reading its KRs; it changes what the team prioritizes weekly.

4) Generate candidate KRs (robust, measurable)

  • Inputs: Objectives; baselines (or proxies).
  • Actions: Draft 2–5 KRs per objective; define baseline, target, time window, metric owner, and data source. Prefer absolute metrics; if you use a ratio, also include its absolute numerator/denominator KRs or guardrails.
  • Outputs: KR table(s) with metric definitions.
  • Checks: Two analysts would compute the same number; targets are directionally ambitious but not fantasy.

5) Add systems/habits (default-on execution)

  • Inputs: OKRs draft; team operating model.
  • Actions: Specify the recurring mechanisms that will produce progress (cadences, routines, gates, customer touchpoints), not just one-off initiatives.
  • Outputs: Systems & habits plan.
  • Checks: At least one “default-on” system exists per objective, with an owner and cadence.

6) Anti-gaming + guardrails

  • Inputs: KRs + systems plan.
  • Actions: Identify how each KR could be gamed or cause harm. Add guardrails (quality, trust, margin, volume) and ratio/denominator checks.
  • Outputs: Guardrails section + anti-gaming notes per KR.
  • Checks: You can name 1–2 failure modes per KR and how you’ll detect them early.

7) Review cadence + grading plan (learning loop)

  • Inputs: Full draft OKRs + guardrails.
  • Actions: Define weekly review format, mid-cycle checkpoint rules, and end-of-cycle grading (scoring + retrospective questions).
  • Outputs: Review + grading plan.
  • Checks: The plan produces learning, not blame; it specifies who reviews, when, and what decisions can change mid-cycle.

8) Quality gate + finalize the pack

  • Inputs: Entire OKR & Goals Pack.
  • Actions: Run references/CHECKLISTS.md and score with references/RUBRIC.md. Add Risks/Open questions/Next steps.
  • Outputs: Final OKR & Goals Pack.
  • Checks: Pack is shareable as-is; alignment, metrics, guardrails, and cadence are unambiguous.

Quality gate (required)

Examples

Example 1 (B2B SaaS): “Set Q2 OKRs for Activation to improve time-to-first-value for new teams.” Expected: 1–2 objectives focused on new-team success, KRs with baselines/targets, a weekly review cadence, and guardrails (e.g., support tickets/new team).

Example 2 (Growth): “Set quarterly OKRs for Growth; we keep arguing about conversion rate vs volume.” Expected: KRs expressed as absolute numbers (e.g., activated users) plus denominator/quality guardrails to prevent ‘ratio gaming’.

Boundary example (redirect): “We need to figure out our overall product strategy and vision before we can set goals.” Response: redirect to defining-product-vision -- this request needs upstream strategy work, not OKR design. Come back to OKRs once the strategy anchor is established.

Boundary example (insufficient context): “Write OKRs, but we don’t have a company goal or baseline metrics.” Response: ask for the minimum strategy anchor + baselines; if unavailable, produce 2-3 draft OKR options with explicit assumptions and recommend doing North Star/vision first.

Anti-patterns

Avoid these common failure modes when setting OKRs and goals:

  1. Activity-as-key-result -- Writing KRs like “Launch feature X” or “Ship 3 experiments.” Key results must measure outcomes (what changed for the user/business), not outputs (what the team shipped).
  2. Ratio gaming -- Using percentage-based KRs (e.g., “increase conversion rate to 15%”) without tracking the absolute numerator and denominator. Teams can hit ratio targets by shrinking the denominator.
  3. Too many OKRs -- Setting 5+ objectives with 5+ KRs each. More than 3 objectives means nothing is truly prioritized. If everything is a priority, nothing is.
  4. OKR-as-performance-review -- Tying OKR scores directly to compensation or promotion decisions. This incentivizes sandbagging (setting easy targets) and discourages ambitious goals.
  5. Missing review cadence -- Setting OKRs at the start of the quarter and only scoring them at the end. Without weekly check-ins and a mid-cycle checkpoint, OKRs become aspirational wallpaper.

平台分布

Codex

33.75%
按下载量换算22

Claude

31.71%
按下载量换算21

Cursor

16.62%
按下载量换算11

Gemini CLI

9.44%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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