¿Qué hace feature-to-production?
Habilidad de agente 'feature-to-production' de alphasafal/production-agent-skills.
Habilidad de agente 'feature-to-production' de alphasafal/production-agent-skills.
La habilidad 'alphasafal/feature-to-production' está diseñada para guiar a un agente de IA a través del proceso completo de llevar una característica de software desde su desarrollo inicial hasta su implementación en producción. Es útil para equipos que buscan estandarizar y automatizar los pasos de lanzamiento, reduciendo errores humanos y acelerando el ciclo de entrega. La habilidad se enfoca en plataformas y herramientas comunes de CI/CD y despliegue, como GitHub Actions y entornos en la nube. Su funcionamiento se basa en una serie de pasos definidos en su documentación SKILL.md, donde el agente ejecuta comandos y verifica condiciones para asegurar que cada fase (pruebas, integración, despliegue) se complete correctamente antes de pasar a la siguiente, garantizando así un flujo de trabajo robusto y repetible.
npx skills add https://github.com/alphasafal/production-agent-skills/tree/main/skills/feature-to-productionInstalled? Explore more Programación y desarrollo skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
Habilidad de agente 'feature-to-production' de alphasafal/production-agent-skills.
This repo contains 7 individual skills — each has its own dedicated page.
Runs an end-to-end structured tabular data science workflow: problem framing, schema/leakage/missingness checks, EDA, baseline before modeling, feature engineering, model comparison against the baseline, and error/slice analysis. Use when asked to analyze a dataset, build a predictive model, evaluate a model's performance, or investigate a data quality issue in tabular data. Do not use for pure data engineering/ETL with no analysis or modeling question, for unstructured data (images/audio/free text at scale) without a tabular framing, or when the task is answerable by a single summary statistic with no need for the full workflow — say so and just answer it.
Agent skill 'debugging-investigator' from alphasafal/production-agent-skills.
Agent skill 'production-code-review' from alphasafal/production-agent-skills.
Agent skill 'product-manager' from alphasafal/production-agent-skills.
Agent skill 'repo-architect' from alphasafal/production-agent-skills.
Turns research into an auditable technical or product decision: defines the decision and constraints, gathers evidence with sources, separates evidence from assumption, compares alternatives against explicit criteria, and produces an ADR. Use when choosing between technologies/approaches ("Kafka vs SQS", "build vs buy"), documenting the reasoning behind a decision already made, or when asked to "research this and recommend one." Do not use for implementing the chosen option (that's a separate skill), or for open-ended research with no decision to make at the end.
Agent skill 'system-design-reviewer' from alphasafal/production-agent-skills.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.