tailored-resume-generator
tailored-resume-generator
【开发与工程】Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
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tailored-resume-generator
【开发与工程】Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
prompt-engineering-patterns
【效率与协作】Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.
outlines
【开发与工程】Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library
labor-productivity-optimizer
【开发与工程】AI-powered workforce planning and task assignment skill to maximize warehouse labor efficiency
load-optimization-calculator
【开发与工程】AI-powered load building and consolidation skill to maximize trailer utilization and reduce transportation costs
predictive-maintenance-scheduler
【数据与研究】Predictive maintenance scheduling skill using telematics data and historical patterns to maximize fleet uptime
route-optimization-engine
【开发与工程】AI-powered route planning and optimization skill using advanced algorithms (VRP, TSP) to minimize transportation costs, reduce delivery times, and maximize vehicle utilization
wave-planning-optimizer
【开发与工程】Automated wave planning and pick path optimization skill to maximize warehouse throughput and order accuracy
bio-multi-omics-mixomics-analysis
【设计与创意】Builds supervised and unsupervised multivariate integration across bulk omics blocks with mixOmics - sPLS for sparse pairwise correlation, DIABLO (block.splsda) for a multi-block discriminant signature, rCCA for regularized canonical correlation, and MINT for multi-study integration. Covers why these projection methods maximize covariance or correlat…
hyperparameter-tuning
【效率与协作】Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget. Use when the user requests hyperparameter tuning or provides relevant inputs for this workflow.
logfire-instrumentation
【部署与运维】Add Pydantic Logfire observability to application code — traces, logs, metrics, and AI/agent spans. Use when the user asks to add or configure Logfire, observability, tracing, logging, or monitoring; maximize useful telemetry; or understand what an app is doing. Supports Python, JavaScript/TypeScript, Rust, and major AI agent frameworks including Pyd…
prompt-engineering-patterns
【效率与协作】ALWAYS use this when the request matches Prompt Engineering Patterns: Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.
sbtc-yield-maximizer
【效率与协作】Routes idle sBTC to the highest safe live yield path and executes either capped Zest supply or a HODLMM rebalance when the winning route is safely executable.
carto-territory-planning
【效率与协作】Builds territory planning workflows in CARTO combining territory balancing and location allocation. Triggers when the user mentions territory balancing, territory planning, sales territories, service zones, workload distribution, balanced territories, location allocation, facility placement, optimal locations, maximize coverage, minimize cost, minimi…
context-maximizer
【开发与工程】Exploit the 1M token context (Opus 4.6 / Sonnet 4.6) for full codebase awareness in SpecKit. Intelligently loads constitution, specs, skills, and codebase files while staying within token limits. Prioritizes critical files and provides context usage reports.
prompt-engineering-patterns
【设计与创意】Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
outlines
【开发与工程】Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library
5-email-webinar-sales-sequence
【设计与创意】This prompt instructs the AI to act as an experienced email marketing strategist and produce a five-part webinar promotion sequence (announcement, reminder, value tip, last call, and day-of reminder) tailored to the event timeline, delivering for each email a subject line, preview text, and a complete body designed to maximize engagement, clicks, and…