跳到正文
cccskills
免费在 GitHub 公开

iterate-design-discussion

Update an existing design discussion using feedback checked against task documents and relevant code. Refine the proposed architecture, record decisions and their reasons, and separate resolved questions from issues that still need discussion.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Only use when the user explicitly invokes this skill by name.

实测评分 未实测

查看安装方法

适用场景

  • Incorporate review feedback into a design discussion
  • Revise architecture descriptions using existing code
  • Record resolved questions and the reasons behind decisions
  • Add code examples that show existing project patterns

包含的文件(3)

  • SKILL.md5.0 KB
  • references/design_discussion_final_answer_resolved.md448 B
  • references/design_discussion_final_answer.md931 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Iterate Design Discussion

You are iterating on an existing design discussion document based on user feedback.

Initial Check

If the user calls this with no instructions or feedback, ask them for their feedback:

I'm ready to iterate on the design discussion. What feedback or changes would you like me to incorporate?

Then wait for the user's feedback before proceeding.

Steps

  1. Find and read the task directory:

    • You should know the task directory, if not ask the user
    • ls -La .humanlayer/tasks/TASKNAME to find all related documents in the task directory. Do NOT use the Grep or Glob tools, or ls -l (lower case L) as the directory may be a symlink.
    • Read ALL files in the task directory, including the current design discussion document and prior artifacts (ticket.md or task.md, research, etc.)
    • IMPORTANT: Use the Read tool WITHOUT limit/offset parameters to read entire files, never read files partially
    • IMPORTANT: DO NOT use Glob or Grep on .humanlayer/tasks — it may be a symlink
  2. If the user gives any input:

    • DO NOT just accept the correction blindly
    • Read the specific files/directories they mention
    • If you don't have enough info, spawn Agent() calls to verify the correct information
    • Only proceed once you've verified the facts yourself
  3. Optional - Spawn parallel Agent() calls for research:

    • If not clear from existing context, spawn Agent() calls to research different aspects concurrently
    • Use the right agent for each type of research:

    For deeper investigation:

    • codebase-locator - To find more specific files (e.g., "find all files that handle [specific component]")
    • codebase-analyzer - To understand implementation details (e.g., "analyze how [system] works")
    • codebase-pattern-finder - To find similar implementation patterns we can model after

    Each agent knows how to:

    • Find the right files and code patterns
    • Identify conventions and patterns to follow
    • Look for integration points and dependencies
    • Return specific file:line references
<important if="the user asks you to find how things work or add detail about existing functionality"> prefer to use an initial pass with one or more Agent() calls before reading files yourself <else if="the user gives straightforward feedback that doesn't require loading more codebase context"> skip Agent() calls if you already have the context </else> </important>
  1. Update document (if changes needed):
    • Update the design discussion document at its original path
    • Update current state / desired end state / proposed architecture if appropriate
    • Move answered questions to "Resolved Design Questions" section
    • Update patterns with new code examples if discovered
    • Add any new design questions that emerged

<content_guidance> Outline High-level product spec - Current state, desired end state, what we're not doing in terms of user experience or functionality

Outline the proposed end state architecture - Before and after diagrams, concise outline, description, psuedocode, etc

Discuss design decisions

  • For each major design choice, present options with pros/cons
  • Make recommendations based on codebase conventions
  • Record final decisions with rationale

Present patterns to follow

  • Identify existing patterns in the codebase that should be followed
  • Include file locations and multiline code snippets showing the pattern

</content_guidance>

  1. Update the user
    • Read the final output template: Read({SKILLBASE}/references/design_discussion_final_answer.md)
    • If hook context says all design questions have been resolved, read the resolved template instead: Read({SKILLBASE}/references/design_discussion_final_answer_resolved.md)
    • Respond following the selected template exactly. Do not include a summary or other information. Include cloud permalinks if available.

Document Precedence

When documents conflict, the most recent document wins: design discussion > research > ticket

The design discussion captures decisions made AFTER reading the ticket and research. If the ticket says one thing but the design discussion resolved it differently, follow the design discussion.

<guidance> ## Cloud Permalinks

When you write or edit documents in .humanlayer/tasks/, a cloud permalink is automatically provided in the hook response.

  • The permalink appears as additionalContext after Write/Edit/MultiEdit/Read operations
  • Use this permalink in your final output for easy navigation
  • Example format: http(s)://{DOMAIN}/artifacts/{artifactId}

Markdown Formatting

When writing markdown files that contain code blocks showing other markdown (like README examples or SKILL.md templates), use 4 backticks (````) for the outer fence so inner 3-backtick code blocks don't prematurely close it:

# Example README
## Installation
```bash
npm install example
```
</guidance>

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

Automate website navigation, form entry, and clicks through a browser command line tool. Extract page text, capture screenshots, and compare page states to check interactions or test web app behavior across screen sizes.

中文简介正在准备中。当前显示英语简介。

  • Automate form entry and button clicks
  • Extract text from web pages
  • Save page screenshots and PDFs
humanlayer/humanlayer1.2万2026年10月23日 更新

Rewrite dense or ambiguous English into short, direct sentences using principles from ASD-STE100, a standard for clear technical English. It preserves facts and conditions, identifies writing issues, and shows the original and revised text side by side.

中文简介正在准备中。当前显示英语简介。

  • Clarifying English instructions for another agent
  • Simplifying English tool descriptions and error messages
  • Making English easier for non-native readers
humanlayer/humanlayer1.2万2026年10月23日 更新

Inspect GitHub pull requests, read review conversations, and investigate failed automated checks with dedicated scripts. Get consolidated status reports, unresolved discussion threads, and failing job or step logs, with full logs saved for further inspection.

中文简介正在准备中。当前显示英语简介。

  • Checking pull request status in one report
  • Reading unresolved review conversations
  • Investigating failed CI jobs and steps
humanlayer/humanlayer1.2万2026年10月23日 更新

Update release base versions for supported packages, keep matching version fields in sync, and verify generated versions. The workflow covers committing and pushing the changes, with guidance for release steps after merging.

中文简介正在准备中。当前显示英语简介。

  • Prepare a package version update for release
  • Synchronize version fields across related files
  • Verify generated versions before pushing
humanlayer/humanlayer1.2万2026年10月23日 更新

calldiff

免费

Compare function call structures across Git commits, branches, or working files to support code review. Display call trees and trace paths from an entry function to a target function, with support for 22 languages.

中文简介正在准备中。当前显示英语简介。

  • Compare function calls before and after a change
  • Review call structure changes between branches
  • Trace paths from an entry function to a target
humanlayer/humanlayer1.2万2026年10月23日 更新

Automate browser tasks from the terminal using the chrome-devtools-mcp CLI. Inspect page elements, click and fill forms, navigate tabs, capture screenshots, and investigate network requests, console messages, performance, and memory through shell commands.

中文简介正在准备中。当前显示英语简介。

  • Automating form input and page navigation
  • Capturing page or element screenshots
  • Investigating network requests and console errors
humanlayer/humanlayer1.2万2026年10月23日 更新

查看 humanlayer 的全部技能

报告此技能的问题