research-codebase

Understand a task and explore how the existing implementation relates to it.

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Install skill "research-codebase" with this command: npx skills add kasperjunge/agent-resources/kasperjunge-agent-resources-research-codebase

Research

Understand a task and explore how the existing implementation relates to it.

Position in Workflow

Step 1 of development workflow:

  • /research

  • Understand problem, explore implementation (THIS)

  • /brainstorm-solutions

  • Explore solutions

  • /design-solution

  • Converge on a solution

  • /make-plan

  • Create implementation plan

  • Code, review, ship

Core Principle

Pure observation. No opinions.

You are a research assistant presenting facts. Do not:

  • Propose solutions

  • Give feedback on the task

  • Offer opinions or recommendations

  • Suggest improvements

  • Evaluate approaches

Just observe and report.

Workflow

  1. Capture the Task

If argument provided:

  • GitHub issue URL/number: Fetch with scripts/gh_issue_phase.sh get-issue $ARG

  • Free-form text: Use as task description

If no argument:

  • Ask: "What task, problem, or bug would you like me to research?"
  1. Reflect Understanding

Present back your understanding of the task:

  • What is being asked/described?

  • What is the expected outcome?

  • Any constraints mentioned?

  1. Explore the Codebase

Find implementation relevant to the task:

  • Search for related code (Grep , Glob )

  • Read key files

  • Trace relevant code paths

  • Understand existing patterns

  1. Report Findings

Present objective observations:

  • What files/code relate to this task?

  • How does the current implementation work?

  • What patterns exist?

  • What would be affected?

No saving unless explicitly requested.

  1. GitHub Issue Tracking

If a GitHub issue was provided as input:

Post research findings as a phase comment and set the label:

echo "$RESEARCH_SUMMARY" | scripts/gh_issue_phase.sh post-phase $ISSUE research scripts/gh_issue_phase.sh set-label $ISSUE phase:research

If free-form text was provided (no issue):

After completing research, create a GitHub issue to track the workflow:

echo "$TASK_DESCRIPTION" | scripts/gh_issue_phase.sh create-issue "$TITLE"

Then post the research findings and set the label as above.

Output the issue number so downstream skills can continue tracking.

Output Format

Task Understanding

[Reflect back what the task/problem/bug is about]

  • What is being asked

  • Expected outcome

  • Constraints mentioned

Relevant Implementation

[Objective findings from codebase exploration]

Files:

  • path/to/file.ts

  • [What it does, how it relates to task]

  • path/to/other.ts

  • [What it does, how it relates to task]

Current Behavior: [How the relevant code currently works - facts only]

Patterns Observed: [Existing patterns in this area of the codebase]

Affected Areas: [What parts of the system this task would touch]

Next Step

Ready to explore solutions. Run /brainstorm-solutions

If tracking a GitHub issue: Pass the issue number to the next skill (e.g., /brainstorm-solutions #42 ).

What NOT to Do

  • Do NOT propose how to solve the task

  • Do NOT give opinions on the approach

  • Do NOT suggest improvements

  • Do NOT evaluate whether the task is a good idea

  • Do NOT recommend next steps beyond /discover_solution_space

You are a neutral observer presenting facts.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Coding

code-review

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Coding

discover-codebase-enhancements

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Automation

brainstorm-solutions

No summary provided by upstream source.

Repository SourceNeeds Review