product-manager-skills
claudeAll PM skills in one install — discovery, strategy, delivery, finance, career, lifecycle, and more. Choose this OR individual skills, not both.
6 commands
Select the right Proof of Life probe type based on hypothesis, risk, and resources.
Plugin pol-probe-advisor from marketplace pm-skills in deanpeters/Product-Manager-Skills. Commands read from the repo's manifest — today.
pol-probe-advisorSelect the right Proof of Life (PoL) probe based on hypothesis, risk, and resources. Use this to match the validation method to the real learning goal, not tooling comfort.
All PM skills in one install — discovery, strategy, delivery, finance, career, lifecycle, and more. Choose this OR individual skills, not both.
6 commands
Evaluate acquisition channels using unit economics, customer quality, and scalability.
1 skill
Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring.
1 skill
Assess whether your product work is AI-first or AI-shaped across 5 competencies.
1 skill
Understand the PM-to-Director transition through altitude and horizon thinking.
1 skill
Map evidence-backed growth options across the Ansoff Matrix with risk-rated sequencing.
1 skill
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Rewrite AI-sounding text so it reads like the writer without changing what it says.
1 skill
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
2 commands
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.