skill-creator
Use when creating skills, writing SKILL.md files, editing skill definitions, or adding new reusable techniques to ai-coding-config
Explorez les skills IA publiés de TechNickAI et consultez leurs instructions source.
Skills indexés
14Étoiles des dépôts des skills indexés
149Forks du dépôt
18Moyenne des étoiles par skill indexé
11Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Use when creating skills, writing SKILL.md files, editing skill definitions, or adding new reusable techniques to ai-coding-config
Use when writing prompts, agent instructions, SKILL.md, commands, system prompts, Task tool prompts, prompt engineering, or LLM-to-LLM content
Use when rough ideas need design before code, requirements are fuzzy, multiple approaches exist, or you need to explore options before implementation
Use when debugging bugs, test failures, unexpected behavior, or needing to find root cause before fixing
Use when current web info needed, verifying APIs still work, checking latest versions, or avoiding outdated implementations
Use when analyzing YouTube videos, extracting insights from tutorials, researching video content, or learning from talks and presentations
Use when testing MCP servers, debugging MCP tool responses, exploring MCP capabilities, or diagnosing why an MCP tool returns unexpected data
Use when automating browsers, testing pages, taking screenshots, checking UI, verifying login flows, or testing responsive behavior
Use when facing hard architectural decisions, multiple valid approaches exist, need diverse perspectives before committing, or want M-of-N synthesis on complex problems
Use when developing rough ideas into designs, before writing code or implementation plans - refines concepts through collaborative questioning and incremental validation
Use when analyzing YouTube videos for research, learning, or understanding how content relates to a project - downloads transcripts with yt-dlp, chunks long content, and provides context-aware analysis
Web research skill for augmenting agent context with current information. Used when outdated information could lead to broken implementations or wasted effort.
Use when encountering bugs, test failures, or unexpected behavior - ensures root cause understanding before attempting fixes
Use when creating new skills or editing existing skills - applies prompt engineering principles to write clear, goal-focused process documentation that trusts LLM intelligence
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.