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compensation

Offers, compensation framing, and negotiation planning. Use when evaluating offers or raises.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.0
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compensation

# Compensation Structured guidance for **offers, pay, and negotiation** (not legal or tax advice): confirm triggers, propose the stages below, and adapt if the user wants a lighter pass. ## When to Offer This Workflow **Trigger conditions:** - User mentions **negotiation**, **offers**, **raises**, **compensation**, or closely related work - They want a structured workflow rather than ad-hoc tips - They are preparing a review, rollout, or stakeholder communication **Initial offer:** Explain the four stages briefly and ask whether to follow this workflow or work freeform. If they decline, continue in their preferred style. ## Workflow Stages ### Stage 1: Clarify context & goals Anchor on **market context and priorities**. Ask what success looks like, constraints, and what must not break. Capture unknowns early. ### Stage 2: Design or plan the approach Translate goals into a concrete plan around **total comp components**. Compare alternatives and explicit trade-offs; avoid implicit assumptions. ### Stage 3: Implement, validate, and harden Execute with verification loops tied to **negotiation script and BATNA**. Prefer small steps, measurable checks, and rollback points where risk is high. ### Stage 4: Operate, communicate, and iterate Close the loop with **written follow-ups**: monitoring, documentation, stakeholder updates, and lessons learned for the next cycle. ## Checklist Before Completion - Goals and constraints are explicit for **compensation** discussions - Risks and trade-offs are stated, not hand-waved - Verification steps match the change’s impact (tests, canary, peer review) - Operational follow-through is covered (monitoring, docs, owners) ## Tips for Effective Guidance - Be procedural: stage-by-stage, with clear exit criteria - Ask for missing context (environment, scale, deadlines) before prescribing - Prefer checklists and concrete examples over generic platitudes - If the user declines the workflow, switch to freeform help without lecturing ## Handling Deviations - If the user wants to skip a stage: confirm and continue with what they need. - If context is missing: ask targeted questions before strong recommendations. - Prefer concrete examples, trade-offs, and verification steps over generic advice. ## Quality Bar - Each recommendation should be **actionable** (what to do next). - Call out **failure modes** relevant to compensation talks (relationship risk, miscommunication, or unrealistic asks). - Keep tone direct and respectful of the user’s time.

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 compensation-1775981281 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 compensation-1775981281 技能

通过命令行安装

skillhub install compensation-1775981281

下载 Zip 包

⬇ 下载 compensation v1.0.0

文件大小: 1.92 KB | 发布时间: 2026-4-13 09:50

v1.0.0 最新 2026-4-13 09:50
Initial public release of the "compensation" skill:

- Introduces a four-stage workflow for evaluating offers, pay, and negotiation planning.
- Provides structured triggers for when to suggest the workflow versus freeform help.
- Emphasizes explicit goals, risks, trade-offs, and concrete verification steps.
- Includes checklists and best practices for actionable, stage-by-stage guidance.
- Adapts flexibly to user preference for workflow depth or freeform advice.

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