/analyze-issue
Analyze a GitHub issue and create a detailed technical specification
Claude Code
$ npx -y skills add NeoLabHQ/context-engineering-kit --skill analyze-issue --agent claude-code
Codex
$ npx skills add NeoLabHQ/context-engineering-kit --skill analyze-issue -a codex -y
Cursor
$ npx skills add NeoLabHQ/context-engineering-kit --skill analyze-issue -a cursor -y
Gemini CLI
$ npx skills add NeoLabHQ/context-engineering-kit --skill analyze-issue -a gemini-cli -y
GitHub Copilot
$ npx skills add NeoLabHQ/context-engineering-kit --skill analyze-issue -a github-copilot -y
OpenCode
$ npx skills add NeoLabHQ/context-engineering-kit --skill analyze-issue -a opencode -y
Windsurf
$ npx skills add NeoLabHQ/context-engineering-kit --skill analyze-issue -a windsurf -y
SKILL.md
analyze-issue.SKILL.mdname: analyze-issue
description: Analyze a GitHub issue and create a detailed technical specification
Please analyze GitHub issue #$ARGUMENTS and create a technical specification.
Follow these steps:
1. Check if the issue is already loaded:
- Look for the issue file in `./specs/issues/` folder
- File naming pattern: `<number-padded-to-3-digits>-<kebab-case-title>.md`
- If not found, fetch the issue details from GitHub (see step 2)
2. Fetch the issue details (if not already loaded):
- Read `.claude/commands/load-issues.md` to understand how to fetch issue details
- Save the issue file following the load-issues.md format
3. Understand the requirements thoroughly 4. Review related code and project structure 5. Create a technical specification with the format below
Technical Specification for Issue #$ARGUMENTS
Issue Summary
- Title: [Issue title from GitHub]
- Description: [Brief description from issue]
- Labels: [Labels from issue]
- Priority: [High/Medium/Low based on issue content]
Problem Statement
[1-2 paragraphs explaining the problem]
Technical Approach
[Detailed technical approach]
Implementation Plan
1. [Step 1] 2. [Step 2] 3. [Step 3]
Test Plan
1. Unit Tests:
- [test scenario]
2. Component Tests:
- [test scenario]
3. Integration Tests:
- [test scenario]
Files to Modify
- [file path]: [changes]
Files to Create
- [file path]: [purpose]
Existing Utilities to Leverage
- [utility name/path]: [purpose]
Success Criteria
- [ ] [criterion 1]
- [ ] [criterion 2]
Out of Scope
- [item 1]
- [item 2]
Remember to follow our strict TDD principles, KISS approach, and 300-line file limit.
IMPORTANT: After completing your analysis, SAVE the full technical specification to: `./specs/issues/<number-padded-to-3-digits>-<kebab-case-title>.specs.md`
For example, for issue #7 with title "Make code review trigger on any *.SQL and .sh file changes", save to: `./specs/issues/007-make-code-review-trigger-on-sql-sh-changes.specs.md`
After saving, provide a brief summary to the user confirming:
- Issue number and title analyzed
- File path where the specification was saved
- Key highlights from the specification (2-3 bullet points)
Read more
name: analyze-issue description: Analyze a GitHub issue and create a detailed technical specification
Please analyze GitHub issue #$ARGUMENTS and create a technical specification.
Follow these steps:
1. Check if the issue is already loaded:
- Look for the issue file in `./specs/issues/` folder
- File naming pattern: `<number-padded-to-3-digits>-<kebab-case-title>.md`
- If not found, fetch the issue details from GitHub (see step 2)
2. Fetch the issue details (if not already loaded):
- Read `.claude/commands/load-issues.md` to understand how to fetch issue details
- Save the issue file following the load-issues.md format
3. Understand the requirements thoroughly 4. Review related code and project structure 5. Create a technical specification with the format below
Technical Specification for Issue #$ARGUMENTS
Issue Summary
- Title: [Issue title from GitHub]
- Description: [Brief description from issue]
- Labels: [Labels from issue]
- Priority: [High/Medium/Low based on issue content]
Problem Statement
[1-2 paragraphs explaining the problem]
Technical Approach
[Detailed technical approach]
Implementation Plan
1. [Step 1] 2. [Step 2] 3. [Step 3]
Test Plan
1. Unit Tests:
- [test scenario]
2. Component Tests:
- [test scenario]
3. Integration Tests:
- [test scenario]
Files to Modify
- [file path]: [changes]
Files to Create
- [file path]: [purpose]
Existing Utilities to Leverage
- [utility name/path]: [purpose]
Success Criteria
- [ ] [criterion 1]
- [ ] [criterion 2]
Out of Scope
- [item 1]
- [item 2]
Remember to follow our strict TDD principles, KISS approach, and 300-line file limit.
IMPORTANT: After completing your analysis, SAVE the full technical specification to: `./specs/issues/<number-padded-to-3-digits>-<kebab-case-title>.specs.md`
For example, for issue #7 with title "Make code review trigger on any *.SQL and .sh file changes", save to: `./specs/issues/007-make-code-review-trigger-on-sql-sh-changes.specs.md`
After saving, provide a brief summary to the user confirming:
- Issue number and title analyzed
- File path where the specification was saved
- Key highlights from the specification (2-3 bullet points)
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Questions about analyze-issue.
- Which coding agents can use analyze-issue?
- analyze-issue installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

