O que debugging-investigator faz?
Habilidade de agente 'debugging-investigator' de alphasafal/production-agent-skills.
Habilidade de agente 'debugging-investigator' de alphasafal/production-agent-skills.
A habilidade 'debugging-investigator' é uma ferramenta projetada para agentes de IA que precisam investigar e diagnosticar problemas em sistemas de software. Ela orienta o agente a seguir um processo estruturado de depuração, começando pela coleta de informações sobre o ambiente, logs e mensagens de erro. Em seguida, instrui a realizar análises de causa raiz, testar hipóteses e implementar correções de forma metódica. Esta habilidade é útil para desenvolvedores que desejam automatizar tarefas complexas de depuração, reduzindo o tempo de resolução de incidentes. Ela é compatível com plataformas como Claude Code, Cursor e Codex, e funciona fornecendo um prompt detalhado que guia o agente através de etapas lógicas de investigação, evitando suposições precipitadas e incentivando uma abordagem baseada em evidências.
npx skills add https://github.com/alphasafal/production-agent-skills/tree/main/skills/debugging-investigatorInstalled? Explore more Programação e Desenvolvimento skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
Habilidade de agente 'debugging-investigator' 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 'feature-to-production' 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.