ML Ops
Machine learning operations
ai-teammate-model
by Coowoolf
Use when designing AI agent products, defining roadmaps for agentic workflows, or evaluating how to evolve AI from passive tool to proactive partner in software development
model-deployment
by pluginagentmarketplace
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
aws-bedrock-evals
by antstackio
Build and run LLM-as-judge evaluation pipelines using Amazon Bedrock Evaluation Jobs with pre-computed inference datasets. Use when setting up automated model evaluation, designing test scenarios, collecting pre-computed responses, configuring custom metrics, creating AWS infrastructure, running evaluation jobs, parsing results, and iterating on findings.
gamification-triad
by Coowoolf
Use when designing retention mechanisms, habit loops, or auditing why users drop off despite engaging with core features, to structure gamification beyond superficial badges
Puppet Mockup Generator
by mmcmedia
Generated arrows are license-free (Nano Banana = we own it)
historian-decision-model
by Coowoolf
Use when joining a new company, taking over legacy products, or proposing strategies that were previously attempted to avoid repeating past mistakes
claude-command-example-plugin-example-command
by monkey1sai
Converted from Claude plugin command "example-command" (example-plugin).
huggingface-daemon
by fast-gateway-protocol
Fast Hugging Face Inference API via FGP daemon. Use when user needs text generation, embeddings, classification, image captioning, or model inference. Triggers on "huggingface inference", "generate text", "get embeddings", "classify text", "hugging face", "HF model", "zero-shot".
embedding-comparison
by mindmorass
Compare and evaluate embedding models for semantic search
The 'Explorer vs. Lecturer' Coaching Model
by Coowoolf
105 Product Management Skills extracted from Lenny's Podcast - For use with Claude Code / Cursor / Windsurf
finance-forecast
by jforksy
Detailed financial scenario modeling, revenue projections, and burn rate analysis
explaining
by AlexanderStephenThompson
Repeatable execution process for producing clear explanations. Covers Subject and Situational frameworks, depth scaling, and relatability tools.
evaluation-metrics
by pluginagentmarketplace
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
Four Forces of Progress
by Coowoolf
A behavioral model defining the opposing forces in switching decisions—Push, Pull, Anxiety, Habit. Change happens only when (Push + Pull) > (Anxiety + Habit). Core to Jobs-to-be-Done theory.
model-usage
by mmcmedia
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
agentscope
by changxubo
Build production-ready multi-agent systems with AgentScope framework. Use this skill when users want to create AI agents, multi-agent workflows, or distributed agent applications. Provides patterns for ReActAgent, MsgHub, Pipelines, MCP integration, memory management, and fault-tolerant agent systems.
J-Curve Career Framework
by Coowoolf
High-growth careers are J-Curves, not stairs—you jump off a cliff (take risk), struggle for 6-9 months (bottom of J), then shoot up exponentially. Use when deciding between safe promotion vs stretch role.
Corporate Innovation C-Corp Model
by Coowoolf
To replicate startup speed in large companies, launch new products as separate legal entities (C-Corps) with distinct brands, reporting directly to the CEO, bypassing standard chains of command.
umbraco-development
by twofoldtech-dakota
Apply when working with Umbraco CMS, Composers, services, or content APIs
llm-basics
by pluginagentmarketplace
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
mixseek-config-validate
by drillan
MixSeekの設定ファイル（team.toml、orchestrator.toml、evaluator.toml、judgment.toml）を検証します。「設定を検証」「TOMLをチェック」「設定ファイルの確認」「バリデーション」「ワークスペースの検証」といった依頼で使用してください。TOML構文とMixSeekスキーマへの準拠を確認します。
alliance-ml
by ayushnangia
"Guide for running ML/AI workloads on Alliance Canada (formerly Compute Canada) HPC clusters. Use this skill whenever the user mentions Alliance Canada, Compute Canada, Narval, Cedar, Graham, Trillium, Niagara, Fir, Nibi, Rorqual, Killarney, Slurm job submission on Canadian clusters, sbatch for ML training, GPU jobs on HPC, virtualenv on clusters, or anything related to running deep learning on shared computing infrastructure. Also use when the user asks about CUDA on clusters, distributed training with DeepSpeed/PyTorch DDP on Slurm, managing datasets on parallel filesystems, HuggingFace on HPC, Apache Arrow or Parquet on clusters, ML best practices for shared computing, Apptainer, Singularity, containers on HPC, vLLM, inference serving on HPC, or LLM inference on clusters."
data-science-model-evaluation
by legout
"Model evaluation and validation: cross-validation, metrics, hyperparameter tuning, and model comparison. Use when assessing model performance, selecting models, or diagnosing modeling issues."
mixseek-model-list
by drillan
MixSeek-Coreで利用可能なLLMモデルの一覧を表示します。「使えるモデル」「モデル一覧」「どのモデルがある」「モデルを取得」「APIからモデル」といった依頼で使用してください。API経由でプロバイダー別のモデル情報を動的取得し、推奨設定、互換性情報を提供します。