跳到正文
cccskills
免费在 GitHub 公开

structured-brainstorming

Structured design process before new features, enhancements, or architectural changes. Brainstorming + plan creation + approval flow.

中文简介正在准备中。当前显示原文说明。

mahsumaktas/agent-evolution-kit星标 2(GitHub 2 + cccskills 0)

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md5.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Structured Brainstorming + Plan Creation

Overview

Turn ideas into mature designs and actionable plans. First understand context, then ask questions one by one, build the design, get approval, write the plan.

Core principle: Do NOT start implementation without approval. Every project goes through this process.

<HARD-GATE> Until the design is presented and the user gives approval: - Do NOT write code - Do NOT create files - Do NOT call implementation skills - Do NOT scaffold anything - Do NOT make changes via exec

This rule applies to EVERYTHING, including projects that seem simple. </HARD-GATE>

Anti-Pattern: "This Is Too Simple for Design"

Every project goes through this process. A config change, a single function, a simple addition -- all of them. "Simple" projects are where unexamined assumptions cause the most damage. The design can be short (a few sentences), but you MUST present it and you MUST get approval.

Checklist

Complete these steps IN ORDER:

  1. Explore project context -- examine existing files, docs, recent changes
  2. Ask clarifying questions -- one at a time; understand goals, constraints, success criteria
  3. Propose 2-3 approaches -- with tradeoffs, including your recommendation
  4. Present the design -- in sections scaled to complexity, get approval after each section
  5. Write the design document -- save as docs/plans/YYYY-MM-DD-<topic>-design.md
  6. Move to execution -- create a plan file, hand off to subagent-execution skill

Process Flow

Explore project context
        |
        v
Ask clarifying questions (one at a time)
        |
        v
Propose 2-3 approaches (tradeoffs + recommendation)
        |
        v
Present design sections
        |
        v
 User approved?
  NO  --> Revise design --> present again
  YES --> continue
        |
        v
Write design document
        |
        v
Create plan file (bite-size tasks)
        |
        v
Hand off to subagent-execution

Terminal state: creating the plan file and handing off to subagent-execution. Do not call any other implementation skill.

Process Details

1. Understanding the Idea

  • First check the current project state (files, docs, recent commits)
  • Ask questions one at a time -- one question per message
  • Prefer multiple-choice questions when possible, but open-ended is fine
  • Focus: goals, constraints, success criteria

2. Exploring Approaches

  • Propose 2-3 different approaches, each with tradeoffs
  • Lead with your recommendation and explain why
  • Present in a conversational tone

3. Presenting the Design

  • Present the design when you believe it is ready to build
  • Scale each section to complexity: a few sentences if simple, 200-300 words if nuanced
  • After each section, ask "does this look right so far?"
  • Cover: architecture, components, data flow, error handling, testing
  • Be ready to go back and clarify if something is unclear

4. Design Document

  • Save the validated design as docs/plans/YYYY-MM-DD-<topic>-design.md
  • Keep it short, clear, actionable

5. Plan File Creation (Bite-Size Tasks)

Every task must be independently executable, assuming zero context:

## Task N: [Component Name]

**Files:**
- Create: `full/path/to/file.ts`
- Modify: `full/path/to/existing.ts:123-145`
- Test: `tests/full/path/to/test.ts`

**Step 1: Write a failing test**
[Full test code -- not "add validation", write the code]

**Step 2: Verify the test fails**
Run: `npm test tests/path/to/test.ts`
Expected: FAIL -- "function is not defined"

**Step 3: Write minimal implementation**
[Full implementation code]

**Step 4: Verify the test passes**
Run: `npm test tests/path/to/test.ts`
Expected: PASS

**Step 5: Commit**
`git add ... && git commit -m "feat: ..."`

Rules:

  • Always use full file paths
  • Full code in the plan (not just "add this")
  • Full commands with expected output
  • DRY, YAGNI, TDD, frequent commits
  • YAGNI pruning: if you spot unnecessary features, remove them from the design

6. Execution Handoff

When the plan is complete:

  • REQUIRED SKILL: Hand off to subagent-execution
  • Fresh session per task, two-stage review

Core Principles

  • One question at a time -- do not overwhelm with multiple questions
  • Prefer multiple-choice -- easier to answer than open-ended
  • YAGNI ruthlessly -- remove unnecessary features from the design
  • Explore alternatives -- always present 2-3 approaches before deciding
  • Incremental validation -- present, get approval, proceed
  • Stay flexible -- if something is unclear, go back and clarify

Platform Adaptation

This skill uses generic tool references. Adapt to your platform:

  • File operations: Use your framework's read/write/edit tools
  • Subagent spawning: Replace [spawn subagent] with your platform's mechanism
  • Task tracking: Use your framework's task management or a markdown file
  • Search: Use your platform's file search and content search tools

Red Flags -- STOP

If you catch yourself thinking:

  • "Too simple, no design needed" --> SIMPLE = MOST ASSUMPTIONS
  • "Let me code first, I will get approval later" --> HARD-GATE VIOLATION
  • "I will ask all questions at once" --> ONE QUESTION, ONE MESSAGE
  • "One approach is enough" --> AT LEAST 2 ALTERNATIVES
  • "I did the design in my head" --> WRITTEN DESIGN + APPROVAL REQUIRED
  • "User was in a hurry, I skipped" --> Hurry = MISTAKES, process = SPEED

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

中文简介正在准备中。当前显示原文说明。

mahsumaktas/agent-evolution-kit22026年3月4日 更新

Agent islemlerini policy'ye gore denetle. Hassas islem oncesi governance kontrolu calistir. Tetikleyiciler: destructive komut, dosya sistemi erisimi, rate limit, butce kontrolu, trust score yonetimi.

中文简介正在准备中。当前显示原文说明。

mahsumaktas/agent-evolution-kit22026年3月4日 更新

Evaluate and improve AgentSystem learning quality for memory/self-compound jobs. Use when bots forget, write filler summaries, fail to update learnings, or memory quality regresses over time.

中文简介正在准备中。当前显示原文说明。

mahsumaktas/agent-evolution-kit22026年3月4日 更新

Operate and validate AgentSystem live quality alarm (systemd timer + alert state) to keep memory/proactivity/consistency regressions visible in real time.

中文简介正在准备中。当前显示原文说明。

mahsumaktas/agent-evolution-kit22026年3月4日 更新

Audit and improve AgentSystem memory retention, proactive behavior, learning quality, and agent consistency. Use when bots forget context, skip memory writes, wait for explicit prompts, or repeat the same errors across runs.

中文简介正在准备中。当前显示原文说明。

mahsumaktas/agent-evolution-kit22026年3月4日 更新

Audit and remediate AgentSystem cron output hygiene by detecting raw tool logs, stack traces, and noisy summaries. Use when jobs leak 403/429/internal details, summaries are not user-safe, or post-change validation is required.

中文简介正在准备中。当前显示原文说明。

mahsumaktas/agent-evolution-kit22026年3月4日 更新

查看 mahsumaktas 的全部技能

报告此技能的问题