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setting-okrs-goals设定 OKRS 目标

Agent Skill

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。

总安装

865

周安装

35

GitHub Stars

3

下载量

272
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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:setting-okrs-goals(设定 OKRS 目标)
来源仓库:https://github.com/oldwinter/skills
仓库路径:skills/setting-okrs-goals
安装命令:
npx skills add https://github.com/oldwinter/skills --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/oldwinter/skills --skill setting-okrs-goals

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息整理。

  • 适合在代码协作、项目管理和团队任务跟踪中使用。
  • 通过 GitHub 安装并使用标准 npx 命令集成到开发流程中。
  • 建议在安装前确认仓库访问权限和维护状态,避免误操作影响协作流程。
  • setting-okrs-goals 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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)
  • 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

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: “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.

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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

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按下载量换算102

Claude

32.13%
按下载量换算87

Cursor

18.63%
按下载量换算51

Gemini CLI

9.7%
按下载量换算26

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安装前确认

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