Que fait system-design-reviewer ?
Compétence d'agent 'system-design-reviewer' provenant de alphasafal/production-agent-skills.
Compétence d'agent 'system-design-reviewer' provenant de alphasafal/production-agent-skills.
Cette compétence d'agent, appelée 'system-design-reviewer', est conçue pour évaluer et critiquer des conceptions architecturales de systèmes logiciels. Elle fait partie de la collection 'production-agent-skills' de alphasafal. L'agent peut examiner des diagrammes, des descriptions textuelles de conception, ou des plans d'architecture, puis fournir des retours structurés sur la cohérence, l'évolutivité, la sécurité, la fiabilité, et les compromis techniques. Elle est utile pour les ingénieurs et architectes souhaitant un regard automatisé et objectif sur leurs choix de conception avant de passer à l'implémentation. Bien que la documentation détaillée (SKILL.md) ne soit pas entièrement fournie, la compétence est conçue pour être utilisée avec des agents comme Claude Code, Cursor, ou Codex, en leur fournissant un ensemble d'instructions et de règles pour mener une revue technique approfondie.
npx skills add https://github.com/alphasafal/production-agent-skills/tree/main/skills/system-design-reviewerInstalled? Explore more Développement et programmation skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
Compétence d'agent 'system-design-reviewer' provenant 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 '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.
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.