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working-backwards向后工作

Agent Skill

working-backwards 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

682

周安装

29

GitHub Stars

3

下载量

239
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:working-backwards(向后工作)
来源仓库:https://github.com/oldwinter/skills
仓库路径:skills/working-backwards
安装命令:
npx skills add https://github.com/oldwinter/skills --skill working-backwards
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 working-backwards

简介

用于查找、检索和筛选相关信息,支持逆向工程相关研究任务。

  • 适用于需要根据关键词快速定位目标或需求拆解的场景。
  • 通过 GitHub 安装并使用 npx skills add 命令集成到研发流程。
  • 建议在使用前确认权限范围和维护状态,避免触发未预期的网络请求。
  • working-backwards 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Working Backwards (PR/FAQ + Backcasting)

Scope

Covers

  • Turning a product idea into a customer-centric future press release + FAQ (PR/FAQ)
  • Creating 2–3 divergent PR options to avoid solution lock-in
  • Backcasting a launch: a concrete GTM + operational “machinery” plan from target date back to today
  • Surfacing stakeholders, dependencies, constraints, and risks early

When to use

  • “Write a PR/FAQ for…”
  • “Working backwards from the customer…”
  • “Create a future press release / press release from the future”
  • “Backcast a launch plan / working backwards timeline”
  • “We need alignment on what we’re building before writing a PRD”

When NOT to use

  • You don’t yet understand the problem and need discovery framing (use problem-definition)
  • You already have narrative alignment and need detailed requirements (use writing-prds)
  • You need a build-ready engineering/design spec (use writing-specs-designs)
  • You’re prioritizing among many initiatives (use prioritizing-roadmap)
  • You only need marketing copy for an already-built product (this skill is for product decision-making)

Inputs

Minimum required

  • Product/context + target customer/user segment
  • Problem statement (or symptoms) + why now
  • Candidate solution idea(s) (can be vague; options are welcome)
  • Constraints: timeline/launch target, platform, policy/legal, dependencies
  • Success metrics (1–3) + guardrails (2–5)

Missing-info strategy

  • Ask up to 5 questions from references/INTAKE.md.
  • If answers remain missing, proceed with clearly labeled assumptions and provide 2–3 options (PR variants, scope, rollout).

Outputs (deliverables)

Produce a Working Backwards Pack in Markdown (in-chat; or as files if the user requests):

  1. Context snapshot
  2. PR options: 2–3 divergent future press releases (1 page each)
  3. Selected PR: refined future press release
  4. FAQ: customer + internal (business/ops/technical/legal) FAQs
  5. Backcasting plan: milestones to launch (owners, dates, dependencies)
  6. Stakeholder + “machinery” plan: approvals, comms, rollout, support readiness
  7. Success metrics + guardrails (+ instrumentation notes)
  8. Risks / Open questions / Next steps (always included)

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

Workflow (8 steps)

1) Intake + decision framing

  • Inputs: user request; references/INTAKE.md.
  • Actions: Clarify the decision (invest vs not, choose approach), audience, and target launch date/timebox. Capture constraints + stakeholders.
  • Outputs: Context snapshot.
  • Checks: You can state the decision and time horizon in one sentence.

2) Write the problem paragraph (before any solution)

  • Inputs: customer segment + evidence; why now.
  • Actions: Draft “Problem today” in customer language. List top pains and current alternatives/workarounds.
  • Outputs: Problem paragraph + alternatives bullets.
  • Checks: Describes pain without specifying implementation; avoids “we want to build X” framing.

3) Draft 2–3 divergent future press releases (options)

  • Inputs: problem paragraph; constraints.
  • Actions: Create Option A/B/C PRs with different solution shapes. Keep them 1 page each.
  • Outputs: 2–3 PR drafts.
  • Checks: Options are meaningfully different; each promises clear customer value; no internal jargon.

4) Select the best option and refine to a single PR

  • Inputs: PR options; decision criteria; stakeholder feedback (if available).
  • Actions: Pick a winner (or hybrid) and refine the PR for clarity, boundaries, and a concrete “how it works”.
  • Outputs: Selected PR.
  • Checks: A stakeholder can restate the benefit and “why now” in one sentence; “who it’s for / not for” is explicit.

5) Write the FAQ (customer + internal)

  • Inputs: selected PR; constraints; dependencies.
  • Actions: Draft FAQs in sections: customer, business, technical/ops, legal/compliance. Include out-of-scope, risks, and measurement.
  • Outputs: FAQ section.
  • Checks: Top objections are answered; open questions are explicitly labeled; no “we’ll figure it out later” hand-waving.

6) Backcast: build the launch and “machinery” plan

  • Inputs: target launch tier/date; FAQ dependencies.
  • Actions: Create a milestone plan working backward (design, eng, data, legal, docs, support, comms). Define launch tiers and rollback.
  • Outputs: Backcasting plan + launch tiers/rollback plan.
  • Checks: Each milestone has an owner + success criteria; major dependencies have a plan.

7) Stress-test: pre-mortem + metrics + guardrails

  • Inputs: PR/FAQ + backcasting plan.
  • Actions: Run a pre-mortem. List failure modes (trust/safety/quality/cost). Define success metrics + guardrails + instrumentation needs.
  • Outputs: Risks + metrics/guardrails + validation notes.
  • Checks: Each major risk has a mitigation/monitor; metrics are computable and owned.

8) Quality gate + finalize pack

  • Inputs: full draft pack.
  • Actions: Run references/CHECKLISTS.md and score with references/RUBRIC.md. Ensure final section includes risks/open questions/next steps.
  • Outputs: Final Working Backwards Pack.
  • Checks: Pack is decision-ready and shareable async (no meeting required).

Quality gate (required)

Examples

Example 1 (B2B SaaS): “Write a PR/FAQ and backcasting plan for ‘Role-based dashboards’ for enterprise admins, with a beta in 8 weeks.” Expected: 2–3 PR options, selected PR/FAQ, and a milestone plan covering security review, instrumentation, docs/support.

Example 2 (Consumer): “Work backwards for ‘Saved routes’ in a navigation app; propose two alternative product concepts and pick one.” Expected: divergent PRs that surface trade-offs, clear metrics (repeat usage, retention), and guardrails (privacy, battery, safety).

Boundary example: “Write a PR/FAQ for ‘use AI’ (no user problem).” Response: ask intake questions, redirect to problem-definition if needed, and do not pretend to have customer clarity.

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

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

36.88%
按下载量换算88

Claude

28.82%
按下载量换算69

Cursor

17.51%
按下载量换算42

Gemini CLI

8.6%
按下载量换算21

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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