xfi-execute-plan
Guide for executing engineering plans through coordinated subagent work. Use when executing existing plans from knowledge/plans/ directory.
Explorez les skills IA publiés de zotoio et consultez leurs instructions source.
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.
Guide for executing engineering plans through coordinated subagent work. Use when executing existing plans from knowledge/plans/ directory.
Guide for creating a new package in the X-Fidelity monorepo. Use when adding new packages, setting up monorepo structure, or configuring workspace dependencies.
End-to-end guide for creating a new X-Fidelity analysis rule. Use when creating rules, adding new checks, or when the user asks about rule development.
Guide for creating a new X-Fidelity archetype configuration. Use when defining project templates, configuring rule sets, or setting up dependency requirements.
Guide for updating X-Fidelity documentation including README and website. Use when updating docs, adding new features to documentation, or ensuring docs stay in sync with code.
Guide for ensuring CLI and VSCode extension produce identical analysis results. Use when verifying CLI-Extension parity, debugging output differences, or setting up consistency checks.
Guide for creating engineering plans through a structured workflow. Use when planning new features, coordinating multi-agent work, or breaking down complex initiatives.
Guide for creating a new X-Fidelity plugin from the template. Use when creating plugins, adding new analysis capabilities, or extending the plugin system.
Guide for debugging X-Fidelity analysis issues. Use when troubleshooting analysis failures, rule evaluation problems, VSCode extension issues, or unexpected results.
Guide for managing X-Fidelity releases using the unified release system. Use when releasing, versioning, troubleshooting release issues, or writing commit messages.
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.