⚡
AI Fix Prompts for Lockin
Copy any prompt below into Claude, ChatGPT, or your AI coding assistant to automatically fix the issue. Each prompt includes full context, code location, and step-by-step fix instructions.
3
Total Prompts
0
Critical (P0)
1
High (P1)
2
Medium (P2)
0
Low (P3)
Download All (Markdown)
Download All (JSON)
Feed these prompts to any AI coder: Claude Code, Cursor, Copilot, GPT, Ollama
HIGH
⚙ moderate
#1
Fix quality gate failures (1 conditions)
quality-gate quality
Expected outcome: All quality gate conditions pass
Files to modify: Will be determined by the AI
Prompt (copy this into your AI assistant)
Repository 'jeffnv__lockin' is failing the quality gate. Failed conditions: - overall_score: actual 46.6 >= 50 (FAILED) Fix each failing condition to make the repo pass the quality gate.
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
MEDIUM
⚙ moderate
#2
Fix 5 scorecard failures (50%)
scorecard compliance
Expected outcome: Scorecard score improved from 50% to 80%+
Files to modify: Will be determined by the AI
Prompt (copy this into your AI assistant)
Repository 'jeffnv__lockin' fails 5 scorecard checks (score: 50%): - Has CI/CD: Repository has CI/CD configuration - Has Tests: Repository has test files - Has Docker: Repository has Dockerfile - Quality Gate Passed: Passes the default quality gate - Grade C or Above: Overall quality grade is C or better Fix each failing check.
MEDIUM
⚒ significant
#3
Simplify 3 high-complexity files
complexity refactoring quality
Expected outcome: All listed files reduced to medium or low complexity
Files to modify:
model.go, viz.go, main.goPrompt (copy this into your AI assistant)
These files in 'jeffnv__lockin' have high cyclomatic complexity: - **model.go**: complexity=106, max nesting=8, longest function=87 lines - **viz.go**: complexity=92, max nesting=8, longest function=75 lines - **main.go**: complexity=26, max nesting=6, longest function=51 lines For each file: 1. Break large functions into smaller, focused functions 2. Reduce nesting depth (extract early returns, use guard clauses) 3. Simplify conditional logic 4. Extract complex expressions into named variables