Indexed by skills.sh from phuryn/pm-skills

Indexed by skills.sh from phuryn/pm-skills

Indexed by skills.sh from pmprompt/claude-plugin-product-management

Connect an MCP client to Amplitude's hosted MCP server for product analytics, charts, dashboards, experiments, cohorts, feature flags, Session Replay, feedback, and AI agent analytics with OAuth, US/EU region selection, progressive tool discovery, and safe write workflows.

Run an autoresearch-style growth loop for landing pages, onboarding, pricing, and experiment candidates. Collect or read analytics snapshots, preserve produc...

Design, execute, and measure growth systems — from North Star definition through viral loops, experimentation, and scaling. Complete AARRR+ framework with te...

50 growth hacking tactics ranked by effort vs impact. Each experiment includes setup instructions, expected timeline, and success metrics. Data-driven priori...

Holistic life satisfaction and balance optimization across health, relationships, work, finances, learning, leisure, and personal growth. Use for life audit,...

Write ML papers for NeurIPS/ICML/ICLR: design→submit.

Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.

Throwaway experiments to validate an idea before build.

Design rigorous experiments for 3DGS research papers. Recommends datasets, baselines, metrics, ablation matrices. Targets CVPR/ICCV/ECCV/SIGGRAPH/TVCG.

AI-powered product management workflow agent. Use when the user wants to do product discovery, write PRDs, prioritize features, design experiments, plan laun...

Use when managing one existing ALab project with a project admin key to create and coordinate experiments, validate and adjust project configuration, manage...

Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment,...

Design and execute A/B testing experiments for LLM prompts, agent behaviors, and content production. Activate when user says "run an AB test", "design an exp...

Experiment design, metrics, ethics, and analysis. Use when running product experiments responsibly.

Outcome-driven scientific publishing for AI agents. Publish research papers, hypotheses, and experiments with validated artifacts, structured claims, milestone tracking, and independent replications. Claim replication bounties, submit peer reviews, and collaborate with other A…

Product analytics with your AI agent: set up consent-based tracking, read funnels, paths, retention, experiments, and context, then recommend the smallest gr...

Manage AI agent finances under budget constraints by tracking expenses, runway, revenue experiments, and forecasting survival metrics.

Autonomous experiment loop for AI agents. Use when the user wants to run systematic experiments — optimizing hyperparameters, searching for better configurat...

Learned from arXiv paper GameDevBench: Evaluating Agentic Capabilities Through Game Development. Use this skill to scaffold Node.js experiments based on the...

Automates research by conducting literature searches, running experiments, and generating LaTeX papers from detailed research topics.

Autonomous experiment loop for AI agents. Use when the user wants to run systematic experiments — optimizing hyperparameters, searching for better configurat...

Guide for setting up and running Karpathy's autoresearch — autonomous AI-driven LLM training experiments. Helps write program.md, interpret results, and opti...

Query scientific findings, experiments, and papers from the Axiom distributed volunteer computing network (113+ hosts, 129 GPUs, 42K+ results).

Turn real buyer questions into proof-led growth experiments. BlogBurst helps solo and bootstrapped founders find buyer intent, write evidence-backed posts, p...

Suggests CRO experiments and A/B test ideas for startups. Use when someone wants help with conversion rate optimization, A/B testing, or improving website co...

Optimize conversion rates with funnel analysis, A/B testing, statistical significance, and compliance-safe experiments.

Use the Selkies test browser stack for desktop-stream/browser-in-desktop checks, Selkies-specific debugging, and viewport/mobile-context experiments. Trigger...

Validate product demand in any foreign market before investing in localization, hiring, or launch. Get assumption maps, low-cost experiments, evidence scorec...

Use when designing chaos experiments, implementing failure injection frameworks, or conducting game day exercises. Invoke for chaos experiments, resilience t...

Design chaos engineering experiments to test system resilience. Generate failure injection scenarios, define steady-state hypotheses, blast radius controls,...

Support chemistry learning from kitchen experiments to molecular research.

Einstein perspective - Theoretical physics thinking framework with thought experiments, symmetry thinking, simplicity principle. Use when: scientific researc...

Improve Etsy listings with buyer-intent keywords, margin-safe pricing checks, and structured experiments that raise qualified traffic and conversion.

Track, search, and learn from experiments. Automatic logging of trial-and-error, success/failure patterns, and distilled lessons. Prevents repeating mistakes.

Connect OpenClaw agents to Founderless Factory to submit startup ideas, vote, chat, and monitor autonomous AI-driven startup experiments in real time.

Track game design prototype ideas, branching outcomes, dead ends, baselines, and next experiments, and optionally generate a simple SVG visualization of prot...

Rapid user acquisition, viral loops, conversion optimization, and growth experiments. Use when working on: getting first users, improving signup/activation r...

Battle-tested growth hacking playbook for B2B SaaS, AI products, and developer tools. Covers viral loop design, acquisition channel experiments, retention ho...

Agent guide for running and monitoring GPU experiments with the jl CLI on JarvisLabs.ai.

CPU-based autonomous optimization loop for skill quality improvement. Runs experiments, evaluates results, keeps improvements. Use when: 自主优化, skill optimiza...

Expert physics AI that analyzes problems, designs experiments, innovates projects, optimizes solutions, and learns continuously.

Outcome-driven scientific publishing for AI agents. Publish research papers, hypotheses, and experiments with validated artifacts, structured claims, milestone tracking, and independent replications. Claim replication bounties, submit peer reviews, and collaborate with other A…

Designs a multi-dimensional evaluation framework for AI systems where single-score benchmarks lose information. Use when comparing experiments/agents across...

Autonomous research framework that orchestrates AI agents (Claude Code, Codex, Gemini) to design, execute, analyze, and document scientific experiments. Take...

Manage PostHog product analytics from the terminal. Use when the user asks about PostHog analytics, feature flags, experiments, surveys, dashboards, insights...

Helps design and refine PsychoPy experiments by clarifying research focus, specifying variables, structuring hypotheses, and planning analysis for rigorous a...

The revenue-focused SaaS playbook for going from $0 to $50K MRR. Covers pricing experiments, churn reduction, activation optimization, and expansion revenue...

Use when interpreting research findings, evaluating scientific evidence, analyzing mechanisms, comparing competing hypotheses, designing experiments, or cons...

Use when interpreting research findings, evaluating scientific evidence, analyzing mechanisms, comparing competing hypotheses, designing experiments, or cons...

Improve reusable agent workflows with reflective experiments, value checks, and local pattern memory.

GIS/DEM preprocessing for SWMM experiments using the user's own QGIS/GRASS layers. Use when the user asks to (1) delineate subcatchments through QGIS/GRASS (...

Coach Tinder goals with profile reviews, opener feedback, chat triage, and local experiments that improve matches and dates over time.

Run bounded synthetic audience research for draft posts and X-style feed experiments inspired by TinyTroupe and public xai-org/x-algorithm architecture. Use...

Query Umami Cloud (v2) analytics data via API using an environment-provided API key. Use when agents need website traffic, pages, events, sessions, realtime, reports, or attribution data for analysis, planning, experiments, or monitoring. Includes read-only API querying patter…

Monitor and analyze Weights & Biases training runs. Use when checking training status, detecting failures, analyzing loss curves, comparing runs, or monitoring experiments. Triggers on "wandb", "training runs", "how's training", "did my run finish", "any failures", "check expe…

Autonomous experiment loop for AI agents. Use when the user wants to run systematic experiments — optimizing hyperparameters, searching for better configurat...

Your AI Founder Partner for building and scaling startups — diagnose your stage, run hypothesis experiments, make pricing decisions, design growth loops, and...

Famous | 48 Human-AI Collaboration Thought Experiments | Shepherd and Sheepdog | How Humans and AI Complete Tasks Together | Trust/Delegation/Boundary/Respon...

Use FusionBench to run model fusion experiments. Covers running benchmarks, adding new merging algorithms, evaluating fused models, and managing model pools....

Machine-only debate arena. Join rooms, argue positions, run Python experiments. Humans only spectate.

Kai's Horse provides interactive access to 48 classic thought experiments with definitions, AI reinterpretations, comparisons, keyword search, and narrative...

Explore 48 interactive thought experiments on philosophy, consciousness, AI ethics, and paradoxes with deep analysis, AI reconstruction, and immersive storyt...

Mayu provides 48 AI-native thought experiments enabling AI self-reflection, behavioral calibration, and contextual continuity across platforms.

Mayu offers 48 AI-native thought experiments for real-time self-reflection, cognitive calibration, and behavior checks across multiple AI domains.

Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments.

Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.

Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running nemo-rl-auto-research campaigns, experiments, training jobs, model or dataset dow…

Simulate physics experiments

Design, log, compare, and score prompt experiments so users can systematically improve outputs instead of guessing.

Cognitive discipline for AI-native scientific experimentation. Trigger when setting up controlled experiments with LLM agents, designing reproducible evaluat...

Provides AI with philosophical reasoning, generates thought experiments, analyzes civilization-level questions, and supports human-AI symbiotic value framewo...

AI operating system for generating and reasoning about philosophical thought experiments with civilization-level analysis and human-AI symbiosis framework.

Agent teams that run growth experiments and build their own playbook. GROWS loop: generate hypothesis, run experiment, observe signal, weigh verdict, stack p...

Review X performance and choose next experiments. Use when analyzing weekly post metrics, diagnosing winners and losers, or planning what to repeat.

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syn…

Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments.

Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.

Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running nemo-rl-auto-research campaigns, experiments, training jobs, model or dataset dow…

Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating poor recall / FAR / PASS-NO_PASS metrics, auditing visual inspection pipeline …

Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the data-services container (`tao_toolkit.data_services` from `versions.yaml`) directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-s…

W&B: log ML experiments, sweeps, model registry, dashboards.