pm-execution
claudeExecution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.
16 skills · 11 commands
PM skills for building AI-native products: strategy, requirements, risk assessment, metrics, experiment design, agent UX, and AI market sizing.
Plugin pm-ai-products from marketplace pm-skills in tomershahar/pm-skills. Commands read from the repo's manifest — 1 month ago.
agent-ux-designDesign UX for agentic AI workflows: task delegation, human-in-the-loop checkpoints, error recovery, and trust calibration. Use when designing a product where AI takes multi-step actions on behalf of users.
ai-experiment-designDesign experiments to validate AI features: evaluation datasets, shadow mode deployment, A/B testing, and feedback loop design. Use when planning how to test an AI feature before or after launch.
ai-market-sizingEstimate TAM/SAM/SOM for an AI product accounting for compute costs, commoditization risk, and platform dependency. Use when sizing the market for an LLM-based or ML-powered product.
ai-metrics-frameworkDesign a metrics framework for an AI product combining model quality metrics with product and business metrics. Use when setting up measurement for an AI feature or LLM-based product.
ai-product-requirementsWrite product requirements for an AI feature covering model behavior specs, training data needs, edge cases, fallback design, and evaluation criteria. Use when writing a PRD for an LLM-based or ML-powered feature.
ai-product-strategyCreate a product strategy for an AI-native product covering data moats, model improvement loops, AI value propositions, and defensibility. Use when building strategy for LLM-based, ML-powered, or agentic products.
ai-risk-assessmentIdentify and prioritize AI-specific risks: hallucination, bias, drift, privacy, security, and regulatory exposure. Use when launching an AI feature, reviewing an AI product, or preparing for compliance.
/pm-ai-products:ai-prdWrite a PRD for an AI feature including model behavior specs, evaluation criteria, and fallback design
/pm-ai-products:ai-riskRun an AI risk assessment covering hallucination, bias, drift, privacy, security, and regulatory exposure
/pm-ai-products:ai-strategyCreate a full product strategy for an AI-native product
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.
16 skills · 11 commands
Product discovery skills for PMs: ideation, experiments, assumption testing, feature prioritization, and customer interview synthesis.
13 skills · 5 commands
Product strategy skills for PMs: vision, strategy canvas, value propositions, lean canvas, business model canvas, SWOT, PESTLE, Ansoff Matrix, Porter's Five Forces, and monetization.
12 skills · 5 commands
Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.
7 skills · 3 commands
Go-to-market skills for PMs: GTM strategy, growth loops, GTM motions, beachhead segments, and ideal customer profiles.
6 skills · 3 commands
PM utility skills: resume review, NDA drafting, privacy policy generation, and grammar/flow checking. Essential tools for product managers beyond core product work.
4 skills · 5 commands
Claude API and SDK documentation skill for building LLM-powered applications
19 skills
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
2 skills · 2 commands · 2 agents · 1 MCP server
Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.
hooks
RuVLLM local inference with chat formatting, MicroLoRA fine-tuning, and SONA adaptation
3 skills · 1 command · 1 agent
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.
1 skill
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