tag

debugging

39 indexed skills · max 10 per page

skills (39)

intermittent-issue-debugging

aj-geddes/useful-ai-prompts · Productivity

0

Intermittent issues are the most difficult to debug because they don't occur consistently. Systematic approach and comprehensive monitoring are essential.

axiom-swiftui-debugging-diag

charleswiltgen/axiom · Frontend

0

Use this skill when:

axiom-deep-link-debugging

charleswiltgen/axiom · Productivity

0

Use when:

debugging-streamlit

streamlit/streamlit · AI/ML

0

This starts both backend (Streamlit/Python) and frontend (Vite/React) with hot-reload. The app URL is printed on startup (default http://localhost:3001; 3000 is reserved for manual make frontend-dev; it may use 3002+ if other debug sessions are running). Avoid pinning VITE_PORT unless you have a specific hard requirement (last resort).

axiom-build-debugging

charleswiltgen/axiom · Frontend

0

Check dependencies BEFORE blaming code. Core principle 80% of persistent build failures are dependency resolution issues (CocoaPods, SPM, framework conflicts), not code bugs.

browser-debugging

aj-geddes/useful-ai-prompts · Productivity

0

Browser debugging tools help identify and fix client-side issues including JavaScript errors, layout problems, and performance issues.

debugging-strategies

sickn33/antigravity-awesome-skills · Productivity

0

$22

debugging

supercent-io/skills-template · Productivity

0

Systematically isolate and fix code issues using structured debugging methodologies. \n \n Covers six-step debugging workflow: information gathering, reproduction, isolation, root cause analysis, fix implementation, and verification \n Includes common bug patterns (off-by-one, null references, race conditions, memory leaks, type mismatches) with targeted solutions \n Provides debugging techniques: binary search isolation, print/log debugging, divide-and-conquer code elimination, and regression t

parallel-debugging

wshobson/agents · Productivity

0

Systematic debugging framework using competing hypotheses to identify root causes across multiple failure categories. \n \n Generates hypotheses across six failure mode categories: logic errors, data issues, state problems, integration failures, resource issues, and environment mismatches \n Establishes evidence standards with citation requirements (file:line references) and confidence levels (high/medium/low) to avoid confirmation bias \n Supports parallel agent investigation with structured re

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