GitHub
trade-confirmation-matching
Use when training Operations staff to work with AI-assisted trade confirmation matching systems. Use before go-live. Produces role-specific training materials for analysts and senior analysts.
Ethical-AI-Syndicate AI Skills
GitHub ↗Explorez les skills IA publiés de Ethical-AI-Syndicate et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
10Étoiles des dépôts des skills indexés
10Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
automation-suitability-classifier
Use when deciding if a workflow step should be automated, AI-assisted, or left human-only. Use when stakeholders are enthusiastic about automation, when evaluating high-volume tasks, or when assessing automatio...
GitHub
legacy-system-ai-bridger
Use when integrating AI with legacy enterprise systems. Use during solution design. Produces integration patterns, architecture recommendations, and migration strategies.
GitHub
scenario-flow-mapper
Use when generating functional test scenarios from workflow decompositions. Use when developers need test cases, when validating workflow completeness, or when preparing acceptance criteria for AI-assisted proc...
GitHub
acceptance-criteria-definer
Use when specifying testable acceptance criteria for user stories. Use after user story drafted. Produces Given-When-Then scenarios, edge case coverage, and validation approach.
GitHub
rapid-prototype-synthesizer
Use when building proof-of-concept code and demo flows for AI capabilities that passed feasibility evaluation. Use before committing to production development to let stakeholders experience the capability.
GitHub
cross-team-reuse-detector
Use when analyzing multiple workflow decompositions to find shared AI patterns. Use when planning enterprise AI platforms, evaluating build-vs-buy for AI capabilities, or supporting mandates to share use cases...
GitHub
acceptance-gatekeeper
Use when evaluating AI capability test results against acceptance criteria for production deployment decision. Use after development complete and test results available. Produces structured go/no-go verdict wit...
GitHub
pilot-to-production-scaler
Use when transitioning AI pilots to enterprise deployment. Use after successful pilot. Produces scaling plan, readiness assessment, and rollout strategy.
GitHub
model-lifecycle-manager
Use when managing AI/ML models in production. Use after model deployed. Produces model registry entries, drift detection schedules, retraining triggers, and version management workflows.
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.