Token导航 LogoToken导航TokenDH.com
研究检索操作浏览器github未标认证来源可访问许可证需确认审计通过

shaping-work塑造工作

Agent Skill

shaping-work 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

188

周安装

8

GitHub Stars

4

下载量

66
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:shaping-work(塑造工作)
来源仓库:https://github.com/teambrilliant/dev-skills
仓库路径:skills/shaping-work
安装命令:
npx skills add https://github.com/teambrilliant/dev-skills --skill shaping-work
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/teambrilliant/dev-skills --skill shaping-work

简介

shaping-work 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景定位结果。
  • 通过 npx skills add 命令安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件读写操作。
  • 当前无额外底部简介内容,可参考来源仓库进一步了解功能细节。

SKILL.md

Shaping Work

Shape ambiguous ideas into clear work definitions. Focus on clarity, not process theater.

Principles

  • No jargon — write so anyone can understand
  • Product-focused — define *what*, not *how* to build it
  • Right level of detail — enough to act on, not a specification
  • Flag unknowns with recommendations — surface risks early, but always propose a resolution

Process

  1. Understand the request — Read the input (could be anything: a Slack thread, a rough idea, a customer complaint, a formal PRD, or a handoff from product-thinker). If intent is unclear, ask up to 3 targeted questions, then shape with stated assumptions.
  2. Understand the context — If handed off from product-thinker, use the product context and analysis already gathered (don't re-explore). Otherwise, if working in a codebase, read CLAUDE.md or similar to understand what the application does (the product, not technical details).
  3. Shape the work — Write the definition using the output format below. Pick the template variant that fits the type of work.
  4. Surface unknowns with recommendations — For every unknown, propose a recommended resolution and list discarded alternatives with reasoning. Never ask "what do you want?" — propose what you'd do and why.
  5. Save the document — Save to thoughts/research/YYYY-MM-DD-descriptive-name.md.

Output Format

Always open with a Shaped View block — a compact ASCII overview of what was shaped. This signals shaping was applied and gives an instant high-level picture without scrolling through the full document:

`★ Shaped View ───────────────────────────────────`
[problem] → [solution]
  ├─ [key flow or behavior 1]
  ├─ [key flow or behavior 2]
  └─ [key constraint or open question]
`─────────────────────────────────────────────────`

Rules for the block:

  • Appears first, before the full shaped document
  • One [problem] → [solution] line, then 2-4 tree branches max
  • The entire block should fit in one screen — if you need to scroll, it's too long
  • Use ASCII tree characters (├─, └─) for structure

Then continue with the full shaped document below.

The core structure adapts to the type of work. Always include: title, description, acceptance criteria, and risks/unknowns. The middle sections flex based on what you're shaping.

Acceptance criteria rules — this section is the contract consumed downstream by planning and QA:

  • Each criterion must be independently testable in a browser or database — someone can verify it pass/fail without reading the code.
  • Describe observable behavior, not implementation ("badge shows 99+ for 100+ items" — not "use Math.min(count, 99)").
  • No vague criteria ("works well", "is fast", "handles edge cases"). If a criterion can't be checked, it doesn't belong here.
  • Prefer specifics over generalities: concrete inputs, concrete states, concrete outputs.

Feature work

## [Clear, descriptive title]

[1-2 sentence description of what this feature does, who it's for, and why it matters]

### Acceptance Criteria

- [Observable behavior, not implementation detail]
- [What triggers this feature/flow]
- [What the user sees or experiences]
- [Key states and edge cases]

### Designs

[Link to Figma/designs if provided, or "N/A"]

### Risks & Unknowns

- **[Question or risk]**
  Recommend: [option] — [why]
  Discarded: [option] ([why not])

Bug fix

## Fix: [what's broken]

[1-2 sentence description of the bug and its user impact]

**Current behavior**: [what happens now]
**Expected behavior**: [what should happen]
**Reproduction**: [steps or conditions to trigger]

### Acceptance Criteria

- [The specific broken behavior that should be fixed]
- [Any related edge cases to verify]

### Risks & Unknowns

- **[Unclear scope, possible regressions, missing reproduction info]**
  Recommend: [option] — [why]
  Discarded: [option] ([why not])

Improvement / tech debt

## Improve: [what's being improved]

[1-2 sentence description of the improvement and why it matters now]

**Current state**: [what exists today and what's wrong with it]
**Desired state**: [what it should look like after]

### Acceptance Criteria

- [Measurable outcomes — what changes for the user or the system]

### Risks & Unknowns

- **[Migration concerns, backwards compatibility, scope creep]**
  Recommend: [option] — [why]
  Discarded: [option] ([why not])

Use the variant that fits best. For work that doesn't fit neatly, adapt — the acceptance criteria and risks sections are the essential parts.

Examples

Small work (single ticket)

Input: "We need to show users how many items are in their cart in the header"

Output:

## Cart item count in header

Display a badge on the cart icon so shoppers can see how many items are in their cart without opening it.

### Acceptance Criteria

- Display a numeric badge on the cart icon in the site header
- Badge shows total quantity of items (not unique products)
- Badge is hidden when cart is empty (not "0")
- Count updates immediately when items are added/removed
- Badge is visible on all pages where the header appears

### Designs

N/A — follow existing badge patterns in the UI

### Risks & Unknowns

- **Should the count persist across sessions for logged-out users?**
  Recommend: Yes, use localStorage — users expect cart to survive tab close.
  Discarded: Server-side session (adds auth dependency for anonymous users)
- **Max display value for large carts?**
  Recommend: Show "99+" — standard e-commerce pattern, avoids layout overflow.
  Discarded: Unlimited display (breaks layout at 4+ digits)

Bug fix

Input: "Users are complaining that the search doesn't find products by SKU"

Output:

## Fix: search doesn't match product SKUs

Users expect to find products by entering a SKU in the search bar, but search currently only matches product names and descriptions.

**Current behavior**: Searching "SKU-12345" returns no results even when the product exists.
**Expected behavior**: SKU search returns the exact matching product.
**Reproduction**: Go to search → enter any valid SKU → observe zero results.

### Acceptance Criteria

- Search matches against the product SKU field in addition to name/description
- Exact SKU match ranks first in results
- Partial SKU matches are included but ranked lower

### Risks & Unknowns

- **Does the search index include the SKU field?**
  Recommend: Check index schema first — if SKU is missing, add it and rebuild. Rebuild is cheap if index is small.
  Discarded: Separate SKU lookup endpoint (fragments search UX into two paths)
- **Are SKUs unique across all product types?**
  Recommend: Treat as unique — if duplicates exist, return all matches ranked by relevance.
  Discarded: Error on duplicate (punishes the user for a data quality issue)

Larger work (PRD-style)

Input: "Partners aren't completing onboarding. We want to remind them."

Output:

## Onboarding reminder modal

Display a reminder modal when a Partner logs into the Back Office without completing all onboarding steps. Partners who don't complete onboarding can't start earning — the modal lists what's missing and guides them to finish.

### Acceptance Criteria

**When it appears:**
- Partner logs into Back Office
- Partner has at least one incomplete onboarding step

**Modal content:**
- Title: "Complete Your Profile To Start Earning"
- Supporting text: "You're just a step away from unlocking your Back Office and getting paid."
- Dynamic list of incomplete steps with clear labels:
  - Missing DOB → "Add your Date of Birth"
  - Missing SSN → "Add your SSN"
  - Missing Bank Info → "Add bank details"
- Primary button: Takes user to Settings page to complete info
- Close/dismiss icon to skip for now

**Behavior:**
- Modal appears on each login until onboarding is complete
- Dismissing the modal does not block access to the Back Office

### Designs

[Link to Figma designs]

### Risks & Unknowns

- **Should we limit how often the modal appears?**
  Recommend: Show every login — onboarding completion is a business requirement, not a preference. Dismissing = "not now", not "never".
  Discarded: Once per day (risks Partners forgetting entirely), once ever (defeats the purpose)
- **What happens if a Partner dismisses repeatedly?**
  Recommend: No escalation — the modal is already the nudge. If they dismiss 10 times, they have a reason. Don't punish.
  Discarded: Escalating banner (adds annoyance without addressing root cause of non-completion)
- **Are there any steps that should block Back Office access entirely?**
  Recommend: No blocking — partial access is better than no access. Partners who can see their dashboard are more motivated to complete onboarding.
  Discarded: Hard block after SSN/bank (creates support burden, Partners call asking why they're locked out)

Design Thinking

When shaping, consult references/software-design-philosophy.md for principles that help define work in ways that avoid unnecessary complexity. Key lenses: define errors out of existence, design the common case to be simple, flag information leakage risks.

What NOT to include

  • Technical implementation details (database schemas, API designs, code patterns)
  • Time estimates or sprint planning
  • Assigned developers or teams
  • Detailed test cases (those come later)

Keep it focused on *what* needs to exist and *why*, not *how* to build it.

Handoffs

  • Shaped work feeds into /dev-skills:implementation-planning for technical design.

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

38.36%
按下载量换算25

Claude

28.69%
按下载量换算19

Cursor

19.91%
按下载量换算13

Gemini CLI

10.42%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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

继续浏览同类 Skills