surgical-injector
Safely inject new code into legacy codebases with risk containment. Use for feature flags, gradual rollouts, A/B testing new logic, or refactoring critical paths. Implements try-catch fallbacks, feature toggle...
Browse published AI skills maintained by Jonely235. Compare skill descriptions and follow each source repository for setup instructions.
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Safely inject new code into legacy codebases with risk containment. Use for feature flags, gradual rollouts, A/B testing new logic, or refactoring critical paths. Implements try-catch fallbacks, feature toggle...
Generate counter-intuitive insights about value, wealth, and success with classical Chinese (文言文) and ruthless market logic.
Independent thinking framework using first-principles reasoning to break down problems, evaluate opinions, make decisions, and find truth without relying on authority, social proof, or conventional wisdom. Use...
Analyze and map code structure, data flow, and dependencies in legacy codebases. Use for understanding call stacks, dependency trees, side effects, risk profiles, and generating Mermaid diagrams. Ideal for lega...
Generate counter-intuitive cognitive bias corrections using Chinese cultural wisdom. Attack blind spots with punchy, memorable insights.
Safely inject new code into legacy codebases with risk containment. Use for feature flags, gradual rollouts, A/B testing new logic, or refactoring critical paths. Implements try-catch fallbacks, feature toggle...
Anti-premature-coding protocol. MANDATORY pre-coding checkpoint: execute BEFORE writing ANY code (new features, bug fixes, refactoring, optimization, tests). Use when user requests: "implement/add/fix/refactor/...
Analyze the impact of code changes by mapping call graphs and identifying all direct and indirect dependencies. Use when users ask about blast radius analysis, code change impact, who calls a function, downstre...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.