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breakdownbreakdown 搜索

Agent Skill

breakdown 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

235

周安装

10

GitHub Stars

1

下载量

82
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:breakdown(breakdown 搜索)
来源仓库:https://github.com/olamedia/analytics-skills
仓库路径:skills/breakdown
安装命令:
npx skills add https://github.com/olamedia/analytics-skills --skill breakdown
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/olamedia/analytics-skills --skill breakdown

简介

用于将 PRD 与架构分解为有序、可验证的开发任务。

  • 适用于大型项目任务拆分,支持并行化与依赖关系管理。
  • 输出任务清单至指定路径,每项含验收标准与责任人。
  • 需用户提供完整设计文档,禁止虚构任务细节。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。
  • breakdown 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Breakdown

Decompose a PRD and architecture into small, ordered, verifiable development tasks — the final output of the analytics pipeline.

When to Use

  • A PRD and architecture document exist and are approved
  • You need to turn requirements into implementable work items
  • The work is too large to start without a task list
  • Tasks need to be parallelized across agents or sessions
  • You need to communicate scope and order to a developer or team

When NOT to use: The work is a single-file change with obvious scope, or a task list already exists and is still accurate.

Input

  • prd.md from the artifact folder (required)
  • architecture.md from the artifact folder (required)
  • context-map.md from the artifact folder (recommended)

Output

  • tasks.md saved to the artifact folder (see references/formats.md for template)

The Process

Step 1: Load Upstream Artifacts

Read prd.md, architecture.md, and optionally context-map.md from the artifact folder. If either required artifact is missing, tell the user which skill to run first.

Also check for project documentation listed in references/context-sources.md (docs/ProjectStructure.md). If available, use it to verify file paths and directory locations when writing tasks.

Extract:

  • User stories and acceptance criteria (from PRD)
  • Component list, dependency graph, and tech decisions (from architecture)
  • Existing patterns and file paths (from context map)

Step 2: Map the Dependency Graph to Build Order

Use the dependency graph from the architecture document to determine bottom-up implementation order:

  1. Foundation first — database schema, types, shared utilities
  2. Services next — business logic, validation
  3. API layer — endpoints, route handlers
  4. Frontend — components, pages, integration
  5. Polish — error handling, edge cases, optimization

High-risk items go early in their phase. Fail fast — discover problems before building on top of them.

Step 3: Slice Vertically

Prefer vertical slices over horizontal layers. Each task should deliver a complete, testable piece of functionality:

Bad (horizontal):

Task 1: Create all database schemas
Task 2: Build all API endpoints
Task 3: Build all UI components
Task 4: Connect everything

Good (vertical):

Task 1: User can register (schema + API + basic UI)
Task 2: User can log in (auth schema + API + UI)
Task 3: User can create an item (item schema + API + UI)

Each vertical slice leaves the system in a working, testable state.

Step 4: Size Each Task

SizeFilesScopeAction
XS1Single function or config changeGood to go
S1-2One component or endpointGood to go
M3-5One feature sliceGood to go
L5-8Multi-component featureConsider splitting
XL8+Too largeMust split further

Target S and M tasks. If a task is L or larger, break it into smaller tasks. No task should touch more than ~5 files.

Step 5: Write Tasks

For each task, use this structure:

### Task N: [Short descriptive title]
- **Description:** [One paragraph — what this task accomplishes]
- **Acceptance Criteria:**
  - [ ] [Specific, testable condition]
  - [ ] [Specific, testable condition]
- **Verification:**
  - [ ] [How to confirm — test command, build check, manual verification]
- **Dependencies:** [Task numbers this depends on, or "None"]
- **Files:**
  - `[path/to/file]`
  - `[path/to/file]`
- **Size:** [XS / S / M / L]

Rules:

  • Every task has acceptance criteria — no exceptions
  • Every task has a verification step — how do you know it's done?
  • Dependencies are explicit — no task depends on a task that comes later
  • File paths are specific — not "somewhere in src/"
  • Acceptance criteria are verifiable — never "works correctly" or "looks good"

Step 6: Group into Phases with Checkpoints

Organize tasks into phases. Add a checkpoint after every 2-3 tasks:

## Phase 1: Foundation
- Task 1: ...
- Task 2: ...

### Checkpoint: Foundation
- [ ] All tests pass
- [ ] Application builds without errors
- [ ] Core data model works
- [ ] Review before proceeding

## Phase 2: Core Features
- Task 3: ...
- Task 4: ...
- Task 5: ...

### Checkpoint: Core Features
- [ ] Primary user flow works end-to-end
- [ ] Review before proceeding

Checkpoints are human review gates. The implementer should stop and verify before moving to the next phase.

Step 7: Identify Parallelization Opportunities

Classify tasks:

  • Safe to parallelize: Independent feature slices, tests for already-implemented features, documentation
  • Must be sequential: Database migrations, shared state changes, dependency chains
  • Needs coordination: Tasks that share an API contract (define the contract first, then parallelize)

Include this classification in the task list document.

Step 8: Document Risks

Carry over risks from the architecture document and add task-specific risks:

RiskImpactMitigation
[Risk][High/Med/Low][Strategy]

Step 9: Write and Save Task List

Write tasks.md to the artifact folder using the template from references/formats.md.

Present the task list to the user for review. Highlight:

  • Total number of tasks and phases
  • Estimated scope distribution (how many S, M, L tasks)
  • High-risk tasks and when they're scheduled
  • Parallelization opportunities

Apply requested changes, then save.

Announce the saved path:

"Task list saved to [path]/tasks.md."

Common Rationalizations

RationalizationReality
"I'll figure out the order as I go"Wrong order means building on foundations that don't exist yet. 10 minutes of ordering saves hours.
"The tasks are obvious from the PRD"PRD defines WHAT. Breakdown defines HOW MUCH per step, in WHAT ORDER, verified HOW. Different concerns.
"Planning is overhead"Planning IS the task. Implementation without a plan is just typing with extra debugging.
"I can hold it all in my head"Context is finite. Written task lists survive session boundaries, compaction, and team handoffs.
"Everything is high priority"Dependency order defines the real priority. Build foundations first, not the most exciting feature.
"Small tasks are too granular"Small tasks complete reliably. Large tasks produce tangled messes and partial progress.

Red Flags

  • Tasks without acceptance criteria
  • Tasks without verification steps
  • No dependency ordering — tasks listed randomly
  • All tasks are L or XL sized
  • No checkpoints between phases
  • Horizontal slicing instead of vertical
  • File paths missing or vague ("update the frontend")
  • No parallelization classification
  • Starting implementation without user reviewing the task list

Verification

Before declaring the pipeline complete, confirm:

  • All upstream artifacts loaded (PRD, architecture)
  • Every task has acceptance criteria
  • Every task has a verification step
  • Dependencies identified and ordered correctly
  • No task touches more than ~5 files
  • Most tasks are S or M sized
  • Phases with checkpoints every 2-3 tasks
  • High-risk tasks scheduled early in their phase
  • Parallelization opportunities classified
  • Risks documented with mitigations
  • User has reviewed and approved the task list
  • tasks.md saved to artifact folder

End of Pipeline

"Task list complete. The analytics pipeline is finished. The artifact folder now contains: - context-map.md — codebase context - goal-definition.md — problem and success criteria - brainstorming.md — approaches evaluated and direction chosen - prd.md — formal requirements with acceptance criteria - architecture.md — technical design and dependency graph - tasks.md — ordered, interlinked development tasks Ready for implementation."

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

37.83%
按下载量换算31

Claude

27.78%
按下载量换算23

Cursor

20.17%
按下载量换算17

Gemini CLI

8.66%
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

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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