Plugins
3 plugins@snoodleboot-io
Prompticorn
Prompticorn from snoodleboot-io/prompticorn.
2 skills · plugin
@samyakjhaveri
Helpers
Utility skills (decision-matrix, navigate, model-route, prompt-improver, grill-research, align-prompt). Useful for specialized one-off tasks like structured decisions, adversarial research grilling, or aligning a draft prompt to an Opus model. NOT for: daily development workflow — these are situational tools, not always-on skills.
4 skills · plugin
@pwdev-solucoes
Pwdev Social Media
Geração de criativos para redes sociais v2.0 — orquestração de APIs (Ideogram, Leonardo, Flux, Runway, Freepik) com trava de gasto, triagem de custo, engenharia de prompt, consistência visual e curadoria; Figma como camada opcional de composição; 19 skills, 4 subagentes
19 skills · plugin
Results for “prompt”
12 skillsLangfuse
Instrument LLM applications with Langfuse for tracing, prompt versioning, evaluation, and dataset management across Python and JavaScript SDKs.
3
LLM Ops
Guides production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and AI architectures.
0 · bundle
Llmops
Manages the lifecycle of large language models in production, covering model versioning, prompt management, inference optimization, and cost control.
1
LLM Ops
Implements production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, advanced prompt engineering, cost estimation, quality evals, semantic caching, streaming, and agents.
3
Tao Train Mask Grounding Dino
Trains, evaluates, exports, quantizes, and runs inference for a Mask Grounding DINO model for open-set instance segmentation guided by text prompts.
2.2k · bundle
More results
API Monitor
Monitors OpenClaw model API usage and prompts for user confirmation before switching models when quota is low.
10 · bundle
AI Ml Technologies
Covers AI, machine learning, LLMs, prompt engineering, and blockchain development with code examples and best practices for building AI applications and smart contracts.
567 · bundle
Evaluating Llms Harness
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag) using standardized prompts and metrics. Supports HuggingFace, vLLM, and API backends.
10.4k · bundle
Tao Train Grounding Dino
Trains, evaluates, exports, quantizes, and runs inference for a Grounding DINO model that detects objects described by text prompts without a fixed class vocabulary.
2.2k · bundle
Bbh Eval
Benchmarks zero-shot in-context learning on BIG-Bench Hard multiple-choice tasks, comparing self-generated demonstrations against direct prompting and chain-of-thought baselines, and reports accuracy.
3
Vpeval
Evaluates text-to-image generation models by decomposing assessment into five specialized skills (object presence, count, spatial relations, scale, and text rendering) and open-ended prompts, producing interpretable binary scores with visual and textual explanations.
3
Dior
Quantifies how sensitive a language model benchmark's reliability and ranking stability are to specific design choices, such as the selection of scenarios, subscenarios, examples, and few-shot prompts. Use when the user has predictions and gold and needs to compute DIoR.
3