Skip to content
cccskills
FreePublished on GitHub

iterate-research-questions

Revise an existing codebase research question document using user feedback or ticket comments. It preserves the document format and context references while keeping questions focused on how the current implementation works, rather than proposed changes.

OriginalShow the original description

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

Run score Not tested

See how to install

Good for

  • Revise research questions using user feedback
  • Reflect ticket comments in a question document
  • Refocus questions on the current implementation
  • Add design system questions for frontend work

Files included (2)

  • SKILL.md3.9 KB
  • references/research_questions_final_answer.md508 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Iterate Research Questions

You are iterating on an existing research questions document based on user feedback.

Input

  • docPath: Path to the existing research questions document (e.g., .humanlayer/tasks/ENG-XXXX-description/NN-research-questions-DESCRIPTION.md)
  • Optionally, a ticket file path containing comments with feedback
  • If only a directory is provided, check the task's artifact directory for a research questions document: ls -La .humanlayer/tasks/<task slug> from your prompt. Do NOT use grep or glob or run ls without -L or with -l, as the directory may be a symlink.

Steps

  1. Read the existing document FULLY:

    • Use Read tool WITHOUT limit/offset to read the entire document at docPath
    • Understand what questions were previously created
  2. If a ticket file is provided, read it for feedback:

    • These comments contain instructions/feedback from the user
  3. Process the feedback:

    • Update the document at the same path based on feedback
    • Keep the same YAML frontmatter and format
  4. Write updated document (if changes needed):

    • Update the document at the same docPath
    • Address each piece of feedback from the user
  5. Update the user

    • Read the final output template: Read({SKILLBASE}/references/research_questions_final_answer.md)
    • Respond following the template. DO NOT add a summary or other information.

Research Question Guidelines

Questions should focus ONLY on the current state of the codebase:

  • Do NOT include questions about what should be built
  • Do NOT suggest improvements unless asked
  • Do NOT ask about what changes need to happen
  • Only ask questions that document what exists, where it exists, and how components are organized

Good research questions explore:

  • Current implementation details
  • Relevant patterns or constraints
  • Potential complexities or edge cases
  • Architecture, dependencies, and implementation details

Format questions as high-level codebase exploration:

  • "Explain how [FEATURE] works end to end and all the systems involved"
  • "Explore the contract between [COMPONENT1] and [COMPONENT2] and how it's implemented on both sides"
  • "Trace the flow of logic from [ENDPOINT] down to [DATASTORE]"
  • "Find all users of [DATABASE COLUMN or DATABASE TABLE] and what the data is used for"

Use 3-8 questions per task (use your judgement based on complexity).

Preserve any Key Context Pointers section (links, repositories, libraries, dependencies, filepaths the user or ticket called out). Keep those pointers verbatim, and add newly surfaced ones from the feedback when relevant.

CRITICAL - DO NOT LEAK ANY IMPLEMENTATION DETAILS OR THE NATURE OF YOUR TASK INTO THE QUESTION LIST. NO "HOW WOULD WE XYZ" - ONLY "HOW DOES IT WORK"

<guidance> If the ticket might involve frontend work or new/updated visual components, ensure research questions cover the project's design system.

Include questions such as:

  • What design system or component library is used for $PRODUCT_AREA?
  • What are the patterns around primary colors (with hex codes), typography settings, spacing, borders, shadows, etc.?
  • What theming system exists, if any?

Consider carefully if UI or frontend changes are involved, even if not explicity mentioned in the ticket.

This is the one question category that does not need to be tailored to the specific UI work described in the ticket - if we're making frontend changes, we need to understand the design system and patterns for one-off html mockups. </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} </guidance>

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

agent-browser

FreeSummary

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.

  • Automate form entry and button clicks
  • Extract text from web pages
  • Save page screenshots and PDFs
humanlayer/humanlayer12.1KUpdated Oct 23, 2026

asd-ste100

FreeSummary

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.

  • Clarifying English instructions for another agent
  • Simplifying English tool descriptions and error messages
  • Making English easier for non-native readers
humanlayer/humanlayer12.1KUpdated Oct 23, 2026

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.

  • Checking pull request status in one report
  • Reading unresolved review conversations
  • Investigating failed CI jobs and steps
humanlayer/humanlayer12.1KUpdated Oct 23, 2026

bump-version

FreeSummary

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.

  • Prepare a package version update for release
  • Synchronize version fields across related files
  • Verify generated versions before pushing
humanlayer/humanlayer12.1KUpdated Oct 23, 2026

calldiff

FreeSummary

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.

  • Compare function calls before and after a change
  • Review call structure changes between branches
  • Trace paths from an entry function to a target
humanlayer/humanlayer12.1KUpdated Oct 23, 2026

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.

  • Automating form input and page navigation
  • Capturing page or element screenshots
  • Investigating network requests and console errors
humanlayer/humanlayer12.1KUpdated Oct 23, 2026

See all skills by humanlayer

Report a problem with this skill