Explorez les skills IA publiés de PackmindHub et consultez leurs instructions source.
Skills indexés
18Étoiles des dépôts des skills indexés
3,483Forks du dépôt
139Moyenne des étoiles par skill indexé
194Les étoiles d’un dépôt peuvent se répéter entre ses skills.
This skill provides guidance for writing test factories in the Packmind codebase. It should be used when creating or updating factory functions in `**/test/*Factory.ts` files to ensure realistic test data with...
This skill provides guidance for writing test factories in the Packmind codebase. It should be used when creating or updating factory functions in `**/test/*Factory.ts` files to ensure realistic test data with...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends CoPilot's capabilities with specialized knowledge, workflows, or t...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends CoPilot's capabilities with specialized knowledge, workflows, or t...
Capture new learnings discovered during code exploration or user interaction that were not present in context, memories, or codebase documentation. This skill should be invoked when Claude discovers something n...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Capture codebase inconsistencies discovered during exploration OR implementation. TRIGGER when you find conflicting patterns while looking for code to follow (e.g., "some UseCases extend AbstractMemberUseCase,...
Capture wrong assumptions you made about the codebase. TRIGGER when reality differs from expectation (e.g., "assumed Jest but it's Vitest", "assumed AbstractUseCase exists but found AbstractMemberUseCase", "ass...
Log access to Claude configuration artefacts (CLAUDE.md, rules, skills, commands, agents). This skill should be invoked automatically after reading configuration files to track usage.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Automatically capture recurring patterns discovered in the codebase during exploration. This skill logs implicit conventions, architectural patterns, and coding practices that are followed consistently but not...
Detect and capture technical preferences, naming conventions, and architectural practices from user messages into Packmind standards. Trigger when user prescribes HOW to code through direct statements (e.g., "U...
Enforce git commit best practices using gitmoji + Conventional Commits format. TRIGGER when creating commits. Ensures quality-gate passes, prevents issue auto-closing (no Close/Fix keywords), includes Co-Author...
Detect and capture technical preferences, naming conventions, and architectural practices from user messages into Packmind standards. Trigger when user prescribes HOW to code through direct statements (e.g., "U...
Automatically capture implicit technical decisions and uncertainties encountered by AI agents during coding work. This skill logs decision points where the agent chose an approach without explicit user guidance...
Automatically capture reusable task patterns as command candidates after completing coding work. This skill identifies multi-step workflows that could benefit other developers across projects and logs them to c...
Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four...
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.