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negotiating-offers谈判报价

Agent Skill

negotiating-offers 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

706

周安装

30

GitHub Stars

3

下载量

247
CodexClaudeCursorGemini CLI

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:negotiating-offers(谈判报价)
来源仓库:https://github.com/oldwinter/skills
仓库路径:skills/negotiating-offers
安装命令:
npx skills add https://github.com/oldwinter/skills --skill negotiating-offers
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 negotiating-offers

简介

negotiating-offers 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 中围绕仓库状态或协作事项进行整理。

  • 适用于需要可视化项目结构、流程或变更场景的 Agent 宿主环境。
  • 通过 npx skills add 命令从指定仓库安装,需结合原始 README 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或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Negotiating Offers

Scope

Covers

  • Negotiating an employment offer (cash + equity + role scope) with a clear plan and scripts
  • Negotiating success conditions (resources, budget, headcount, authority, expectations) before/alongside compensation
  • Clarifying “features vs experiences” trade-offs (money/title vs learning/autonomy/mentorship)
  • Proposing alternative structures when helpful (e.g., part-time or contract as a bridge)

When to use

  • “Help me negotiate this offer (salary/equity/title/level/start date).”
  • “Write a counteroffer email + call agenda.”
  • “I want to negotiate for resources so I can succeed in the role.”
  • “I’m optimizing for learning/flexibility, not just comp—help me structure the ask.”

When NOT to use

  • You need legal/financial/tax advice (this skill is not a substitute for a lawyer/CPA).
  • You’re negotiating a vendor/enterprise contract, severance agreement, or union/CBA terms.
  • You don’t have any concrete offer or decision context yet (first gather basics; then use this).
  • You’re in an urgent HR escalation (PIP/investigation/termination risk) where process/legal counsel matters most.

Inputs

Minimum required

  • Target role/company + current stage (verbal offer vs written offer)
  • Offer details you’re comfortable sharing (can be ranges or redacted): base, bonus, equity, level/title, location/remote, start date
  • Your decision timeline (deadline, other interviews/offers, constraints)
  • Your priorities (must-haves, nice-to-haves, dealbreakers) and what you’re optimizing for (features vs experiences)
  • Your best alternative / leverage (can be vague; do not disclose confidential details)
  • Role-success hypotheses: what resources/commitments you’ll need to succeed (team, budget, authority, scope, tech debt, OKRs)

Missing-info strategy

  • Ask 3–5 questions at a time from references/INTAKE.md.
  • If comp numbers are missing, proceed using relative moves (percent, ranges) and non-comp levers.
  • If the user is uncomfortable sharing details, redact and continue; never request secrets or confidential employer information.

Outputs (deliverables)

Produce an Offer Negotiation Pack (in chat as Markdown; or as files if requested) in this order:

  1. Offer Snapshot + Timeline (what’s on the table, who’s involved, dates)
  2. Goals, Priorities, BATNA (what you want, what you’ll trade, walk-away line)
  3. Success Conditions & Resourcing Asks (requests framed as needed to hit outcomes)
  4. Offer Components & Tradeoff Matrix (features vs experiences; what to negotiate)
  5. Ask Package (A/B/C) + Negotiation Strategy (sequence + rationale)
  6. Scripts Pack (email(s) + call agenda + follow-up recap)
  7. Optional: Alternative Structure Proposal (e.g., 3-days/week contract/part-time)
  8. Risks / Open questions / Next steps (always)

Templates: references/TEMPLATES.md Expanded guidance: references/WORKFLOW.md

Workflow (8 steps)

1) Intake + offer snapshot

  • Inputs: user context; references/INTAKE.md.
  • Actions: Capture the offer components, decision deadline, stakeholders (recruiter, hiring manager), and constraints (location, visa, family, start date). Identify what’s already agreed vs still open.
  • Outputs: Offer Snapshot + Timeline.
  • Checks: Offer state is explicit (verbal vs written); deadlines and next meetings are listed.

2) Define goals, priorities, and BATNA (your leverage without bravado)

  • Inputs: priorities; alternatives; risk tolerance.
  • Actions: Convert wants into a ranked list: must, tradeable, nice, no-go. Define your BATNA in plain language (what you’ll do if this doesn’t work).
  • Outputs: Goals, Priorities, BATNA.
  • Checks: There is a clear walk-away line; priorities are consistent (no “must-have” contradictions).

3) Negotiate success conditions first (or in parallel)

  • Inputs: role success hypotheses; known org context.
  • Actions: Draft a “success conditions” conversation: what you need to deliver outcomes (headcount, budget, authority, access, OKRs). Turn requests into employer-friendly commitments and verification signals.
  • Outputs: Success Conditions & Resourcing Asks + hiring-manager agenda questions.
  • Checks: Each ask ties to business outcomes; each has a proposed verification method (written plan, role charter, org commitment).

4) Build the offer components + tradeoff matrix (features vs experiences)

  • Inputs: offer; preferences (money/title vs learning/autonomy/flexibility).
  • Actions: Inventory levers (cash, equity, sign-on, level/title, start date, scope, remote, learning budget, mentorship, role design). Identify the few highest-impact levers and plausible trade-offs.
  • Outputs: Offer Components & Tradeoff Matrix.
  • Checks: Tradeoffs are explicit (what you’ll give to get); no “ask for everything” list.

5) Create an A/B/C ask package (and anchor responsibly)

  • Inputs: tradeoff matrix; BATNA; constraints.
  • Actions: Draft three packages:

- A (ideal): what you’d be thrilled with - B (target): what you expect is achievable - C (floor): what you can accept Include both comp and non-comp levers; choose the negotiation order (resources → comp; or parallel).

  • Outputs: Ask Package (A/B/C) + Negotiation Strategy.
  • Checks: Each package is internally consistent; C is genuinely acceptable; strategy respects timeline.

6) Optional: propose alternative structures (contract / part-time / phased)

  • Inputs: user’s flexibility goals; employer constraints.
  • Actions: If relevant, draft a low-risk alternative proposal (scope, days/week, trial period, deliverables, review point). Frame benefits to the employer (reduced risk, clear outputs).
  • Outputs: Alternative Structure Proposal (optional).
  • Checks: Proposal is specific (not “maybe contract?”); includes a clear trial + decision point.

7) Draft scripts + rehearse the negotiation

  • Inputs: ask package; stakeholders; communication channel.
  • Actions: Write: (a) recruiter email, (b) hiring-manager agenda, (c) comp conversation script, (d) follow-up recap note. Include respectful language, pauses, and “if/then” branches.
  • Outputs: Scripts Pack.
  • Checks: Scripts are short, specific, and polite; claims are truthful; no threats/bluffs.

8) Quality gate + finalize

  • Inputs: full pack draft.
  • Actions: Run references/CHECKLISTS.md and score with references/RUBRIC.md. Tighten weak asks, remove vague language, add Risks / Open questions / Next steps, and produce a final negotiation-ready pack.
  • Outputs: Final Offer Negotiation Pack.
  • Checks: Pack is executable end-to-end; risks and unknowns are explicit; next meeting and next message are ready to send.

Quality gate (required)

Examples

Example 1 (resources + comp): “I got a PM offer from a Series B startup. The role seems under-resourced. Help me negotiate for the right headcount/budget and a better equity package, and draft the recruiter email + hiring-manager agenda.” Expected: Offer Negotiation Pack with success-conditions asks and a clear A/B/C package.

Example 2 (optimize for experiences): “I have two offers. One pays more, the other has better mentorship and autonomy. Help me compare trade-offs and negotiate for mentorship/training budget without losing the offer.” Expected: Tradeoff matrix + experience-focused asks + scripts.

Boundary example: “Negotiate a SaaS vendor contract renewal with legal terms and procurement.” Response: out of scope; use a procurement/legal negotiation workflow instead.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

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能力 4

展示第三方安全扫描或审计结果

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

36.6%
按下载量换算90

Claude

30.03%
按下载量换算74

Cursor

17.86%
按下载量换算44

Gemini CLI

9.98%
按下载量换算25

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

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来源信息

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