Vendor Profile
https-deeplearning-ai
SkillShield has analyzed 11 skills from https-deeplearning-ai. The average trust score across their skills is 92/100. 9 skills are trusted, 2 require caution.
reviewing-cli-command
https-deeplearning-ai/sc-agent-skills-files
100Provides checklist for reviewing Typer CLI command implementations. Covers structure, Annotated syntax, error handling, exit codes, display module usage, destructive action patterns, and help text conventions. Use when user asks to review/check/verify a CLI command, wants feedback on implementation, or asks if a command follows best practices.
SKILLPASSING0 Findings9 days agolearning-a-tool
https-deeplearning-ai/sc-agent-skills-files
100Create learning paths for programming tools, and define what information should be researched to create learning guides. Use when user asks to learn, understand, or get started with any programming tool, library, or framework.
SKILLPASSING0 Findings9 days agogenerating-practice-questions
https-deeplearning-ai/sc-agent-skills-files
100Generate educational practice questions from lecture notes to test student understanding. Use when users request practice questions, exam preparation materials, study guides, or assessment items based on lecture content.
SKILLPASSING0 Findings9 days agoadding-cli-command
https-deeplearning-ai/sc-agent-skills-files
100Provides Typer templates, handles registration, and ensures consistency. ALWAYS use this skill when adding or modifying CLI commands. Use when user requests to add/create/implement/build/write a new command (e.g., "add edit command", "create search feature") OR update/modify/change/edit an existing command.
SKILLPASSING0 Findings9 days agoanalyzing-marketing-campaign
https-deeplearning-ai/sc-agent-skills-files
100Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.
SKILLPASSING0 Findings9 days agogenerating-cli-tests
https-deeplearning-ai/sc-agent-skills-files
100Generate pytest tests for Typer CLI commands. Includes fixtures (temp_storage, sample_data), CliRunner patterns, confirmation handling (y/n/--force), and edge case coverage. Use when user asks to "write tests for", "test my CLI", "add test coverage", or any CLI + test request.
SKILLPASSING0 Findings9 days agocraftedwell-brand
https-deeplearning-ai/sc-agent-skills-files
100CraftedWell brand guidelines for presentations and documents. Use this skill whenever creating or styling documents (docx, pdf) or presentations (pptx) for CraftedWell. Apply warm, artisanal aesthetic with chocolate/caramel color palette, Georgia headings, and Arial body text.
SKILLPASSING0 Findings9 days agogenerating-practice-questions
https-deeplearning-ai/sc-agent-skills-files
88Generate educational practice questions from lecture notes to test student understanding. Use when users request practice questions, exam preparation materials, study guides, or assessment items based on lecture content.
SKILLPASSING1 Finding9 days agoanalyzing-marketing-campaign
https-deeplearning-ai/sc-agent-skills-files
85Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.
SKILLPASSING1 Finding9 days agoanalyzing-time-series
https-deeplearning-ai/sc-agent-skills-files
70Comprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.
SKILL2 Findings9 days agoanalyzing-time-series
https-deeplearning-ai/sc-agent-skills-files
67Comprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.
SKILL3 Findings9 days ago