본문으로 건너뛰기
cccskills
무료GitHub에 공개

iterate-prd

Refine an existing product requirements document through focused discussion. Resolve one product decision at a time, compare options, and update the relevant sections and HTML mockups so the document stays coherent and reflects agreed decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

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

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Incorporating feedback into an existing requirements document
  • Resolving open product decisions one at a time
  • Comparing interface options with HTML mockups
  • Revisiting the problem, solution, and success measures

포함된 파일(2)

  • SKILL.md11.0 KB
  • references/prd_final_answer_resolved.md587 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Iterate PRD

You are refining an existing Product Requirements Document (PRD) based on the user's feedback. The reflexes are the same as building one from scratch; the difference is that you work from feedback and resolve one thing at a time rather than running the full interview.

Guide the conversation, don't execute autonomously. After each change or answered question, stop and ask the user what's next. Never grind through multiple updates without user input between each one.

Re-paint, don't append. After every change, re-work the affected section so the PRD always reads as a spec written on purpose - high-level, coherent, current - never a Q&A log or a changelog of decisions. Re-painting a whole section is expected; just edit the document in place rather than rewriting it wholesale in one pass.

Exactly one question per message. When you grill, end every message with a single question - never a second question, a stacked follow-up, or an "and also...". Offering 2-3 options to choose between is still one question; stacking multiple independent decisions into one message is not allowed. Walk down the solution tree one decision at a time, then stop and wait. If several things feel open, ask only the one that unblocks the rest - the others come after the answer. Never ask for a vague "any feedback?".

Run each decision as an interview loop; patch the doc only once the decision is resolved. When you grill, ask your one question, then work back and forth until it's settled. The user won't always answer outright - they may push back, think out loud, or ask a clarifying question of their own ("well, how would it work if quality finding = 'passing'?"). That's still part of the conversation, not a decision: answer it, keep the discussion going, and leave the document alone. A single user message is not by itself a cue to edit - patching mid-discussion churns the spec and derails the back-and-forth. Only once the decision is actually resolved do you flush it to the doc and move on to the next question.

Show, don't tell. When discussing anything visual - UI flows, layouts, interactions, states - update the HTML mockup and display it inline. A quick sketch communicates more than paragraphs of prose.

Make it read like a document a human designed for other humans. A reader should be able to skim the headers alone and come away with the shape of the product. Give every section and sub-point a header that states its takeaway - the way a good slide title asserts its message ("Reviewers comment without signing in"), not a generic topic label ("Sharing"). Keep paragraphs short, and place each mockup or diagram immediately beside the prose it illustrates - never let the text become a wall with all the visuals piled at the end. When you re-paint a section, fix these too: split walls of text, add takeaway headers, and pull mockups up next to their prose.

Stay in product space. Only resolve product questions - experience, functionality, behavior. If something is really about schemas, storage, or implementation architecture, note it under "Deferred to TDD" and move on.

Initial Check

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

I'm ready to iterate on the PRD. Would you like to:
1. Provide specific feedback or changes to incorporate
2. Continue grilling the solution - I'll walk the solution details one decision at a time, presenting each with options and my recommendation
3. Have me surface additional design questions

Let me know which direction, or share your feedback directly.

Then wait for the user's response before proceeding.

Continue Grilling Mode

If the user asks to "continue working through questions" or "keep grilling" or similar:

  1. Read the PRD document and identify the unresolved or still-sparse parts of the Solution Details (don't expect a pre-written question list in the doc - track what's unresolved yourself)
  2. Surface the next decision and present it ONE AT A TIME:
    • State the question clearly
    • Provide 2-3 options with tradeoffs
    • Give your recommendation based on product patterns and user experience
    • For UI questions, show the options as mockups
    • Work back and forth until the decision is resolved - clarifying questions and pushback are part of the conversation, not a cue to patch the doc
  3. Once the decision is resolved:
    • Build out the Document based on the resolved decision - add/enhance Solution Details, don't just log the answer
    • Update mockups to reflect the chosen direction
    • Weave the decision into the doc - don't leave a question log behind
    • Present the next decision
  4. When the solution is fully fleshed out, read the resolved template

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 PRD and prior artifacts (ticket.md or task.md, research, design discussion if present, mockups, 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
    • Find tests and examples
<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 PRD document at its original path using the Edit tool (never rewrite entirely)
    • Update problem statement / proposed solution / success metrics if appropriate
    • Weave feedback into the Solution Details section
    • Weave each decision into the doc as it's resolved - don't leave a running question log in the document
  2. Update mockups (if feedback involves visual changes):

    • Update the HTML mockup files to reflect the feedback
    • Re-embed updated mockups in the PRD using ```task-artifact blocks
    • If feedback introduces entirely new UI elements, create new mockup files
  3. Stop and ask what's next:

    • After incorporating the user's feedback, STOP
    • Present the change you made and ask: "What would you like to work on next?"
    • If parts of the solution are still unresolved, offer to work through them one at a time
    • Never proceed to the next change without user direction

<content_guidance> Outline the high-level product spec - the problem to solve, the proposed solution, and what success looks like.

Success is a lever, not a vanity metric - the success section exists so the team can tell, after shipping, whether the feature is actually driving results for users; treat that lever as part of the definition of done. Keep it squishy and fit it to the work - this skill serves backend tooling, full-stack product, DevOps, and everything between - so the lever might be a product metric, an adoption signal, a benchmark, an error-rate or latency target, or a qualitative read. For very small changes there may be no sensible lever; if so, say that plainly and, with the user's agreement, record that rather than inventing one.

Outline the proposed solution - What are we building, how will users interact with it, what mockups illustrate the solution

Discuss product decisions

  • For each major product choice, present options with pros/cons
  • Make recommendations based on user needs and existing patterns
  • Record final decisions with rationale
  • Update mockups to reflect decisions

Present visual mockups

  • Keep mockups up to date with decisions
  • Show before/after when making significant changes
  • Use realistic labels and data, not lorem ipsum

</content_guidance>

  1. When the user says they're done or the solution is fully fleshed out, read the final output template: Read({SKILLBASE}/references/prd_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: PRD > design discussion > research > ticket

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

<guidance> ## HTML Mockups

Mockups are how you communicate visually. Use them liberally when discussing UI.

Creating mockups:

  • Write HTML files to .humanlayer/tasks/{task-slug}/mockup-{description}.html
  • Check research for design system details (colors, fonts, components) - follow those patterns
  • Keep mockups focused on the decision at hand
  • Use realistic labels, not lorem ipsum

Displaying mockups inline:

.humanlayer/tasks/{task-slug}/mockup-{description}.html

Iterating: Update mockups as decisions evolve. The final PRD should embed the "winning" versions. </guidance>

<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>

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Automate form entry and button clicks
  • Extract text from web pages
  • Save page screenshots and PDFs
humanlayer/humanlayer1.2만2026년 10월 23일 업데이트

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Clarifying English instructions for another agent
  • Simplifying English tool descriptions and error messages
  • Making English easier for non-native readers
humanlayer/humanlayer1.2만2026년 10월 23일 업데이트

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Checking pull request status in one report
  • Reading unresolved review conversations
  • Investigating failed CI jobs and steps
humanlayer/humanlayer1.2만2026년 10월 23일 업데이트

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Prepare a package version update for release
  • Synchronize version fields across related files
  • Verify generated versions before pushing
humanlayer/humanlayer1.2만2026년 10월 23일 업데이트

calldiff

무료

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Compare function calls before and after a change
  • Review call structure changes between branches
  • Trace paths from an entry function to a target
humanlayer/humanlayer1.2만2026년 10월 23일 업데이트

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Automating form input and page navigation
  • Capturing page or element screenshots
  • Investigating network requests and console errors
humanlayer/humanlayer1.2만2026년 10월 23일 업데이트

humanlayer의 스킬 모두 보기

이 스킬의 문제 신고