GitHub
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...
Jonely235 AI Skills
GitHub ↗Explorez les skills IA publiés de Jonely235 et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
8Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
value-exchange
Generate counter-intuitive insights about value, wealth, and success with classical Chinese (文言文) and ruthless market logic.
GitHub
first-principles
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...
GitHub
code-cartographer
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...
GitHub
blindspot
Generate counter-intuitive cognitive bias corrections using Chinese cultural wisdom. Attack blind spots with punchy, memorable insights.
GitHub
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...
GitHub
stop
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/...
GitHub
blast-radius-analysis
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...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.