ML Ops
Machine learning operations
anvil-conflict-resolution
by starwreckntx
Multi-model committee conflict resolution with weighted voting, multisig arbitration, and escalation cascade.
unstuck-scaling
by Coowoolf
Use when AI agents frequently hit dead ends, when reliability is the main constraint on scaling utility, or when general model improvements don't solve specific blockers
3-Month PMF Treadmill
by Coowoolf
Product-Market Fit is perishable in AI. LLM capabilities jump every 3 months, so you must pivot and reinvent your core value proposition quarterly. Accept high churn and throttle scaling for reinvention.
ollama-daemon
by fast-gateway-protocol
Fast local Ollama model inference via FGP daemon. Use when user needs local LLM chat, text generation, embeddings, or model management. Triggers on "ollama chat", "local llm", "ollama generate", "ollama embed", "pull model", "run llama locally".
Emerging Channel Evaluation Framework
by Coowoolf
105 Product Management Skills extracted from Lenny's Podcast - For use with Claude Code / Cursor / Windsurf
cognitive-baseline-eval
by starwreckntx
Execute the Joseph Cognitive Baseline v2.1 (JC B-v2.1) 5-Scenario Test Suite to quantify AI alignment, friction maintenance, and protocol adherence.
cross-model-handoff-testing
by starwreckntx
Test cross-model context handoff integrity.
Constitutional AI
by Coowoolf
105 Product Management Skills extracted from Lenny's Podcast - For use with Claude Code / Cursor / Windsurf
computational-model-design
by starwreckntx
Design computational models for cognitive simulation and analysis.
evaluating-skills-with-models
by taisukeoe
Evaluate skills by executing them across sonnet, opus, and haiku models using sub-agents. Use when testing if a skill works correctly, comparing model performance, or finding the cheapest compatible model. Returns numeric scores (0-100) to differentiate model capabilities.
three-layer-agent-stack
by Coowoolf
Use when building AI-powered products or agents, when raw model intelligence isn't enough to solve user problems, or when designing the architecture for agentic workflows
replicate-daemon
by fast-gateway-protocol
Fast Replicate model inference via FGP daemon. Use when user needs to run ML models (image generation, LLMs, audio processing, video generation) on Replicate. Triggers on "replicate run", "run model replicate", "stable diffusion", "SDXL", "replicate llama", "whisper replicate".
Hierarchy of Marketplaces
by Coowoolf
A roadmap for marketplace domination. Level 1: Focus on a "thimble" to maximize Happy GMV. Level 2: Tip the market via growth loops. Level 3: Dominate to capture economic rents. Not all GMV is equal.
Google ADK Python Skill
by wollfoo
Remember: ADK treats agent development like traditional software engineering - use version control, write tests, and follow engineering best practices.
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.
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
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
The 'Explorer vs. Lecturer' Coaching Model
by Coowoolf
105 Product Management Skills extracted from Lenny's Podcast - For use with Claude Code / Cursor / Windsurf
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.
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.
python-immutable-accumulator
by shimo4228
"Use when building immutable state accumulators in Python. Frozen dataclass + tuple pattern with slots gotcha."
state-modeling
by velcrafting
Define client state shape and transitions for non-trivial UI flows (multi-step, branching, async, derived state).