sickn33 avatar

Product Manager Toolkit

This is a practical PM toolkit that covers the three main workflows: RICE prioritization with a Python script that generates roadmaps based on team capacity, interview analysis that extracts pain points and sentiment from transcripts, and PRD templates for different project sizes. The scripts actually output actionable data like quick wins vs big bets and quarterly planning. What makes this useful is that it's opinionated about the frameworks (concrete RICE scoring, specific interview structures, multiple PRD formats) rather than being a generic collection of links. Best for product managers who want ready-to-use tools instead of reinventing spreadsheets, though you'll need to adapt the templates to your team's style.

skills.sh installs
3.2K
GitHub stars
43.1K
last updated
Jul 14, 2026

Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill product-manager-toolkit --agent claude-code

Installs into .claude/skills of the current project.

Files

Product Manager Toolkit

Essential tools and frameworks for modern product management, from discovery to delivery.

Resolve script paths from the installed skill root and run in the task output directory. Sample creation writes sample_features.csv and now refuses overwrite. The RICE sizes map to illustrative person-months (XS=1, S=3, M=5, L=8, XL=13); calibrate them rather than treating ordinal sizes as measured effort. Reach must share one time horizon and overlapping audiences must not be counted as unique combined users. The roadmap is a greedy capacity sketch and does not implement dependency scheduling. Interview analysis is an English keyword/regex heuristic, not validated NLP: review negation, speaker attribution and every extracted quote against the consented transcript. Keep transcripts/results restricted and redact before sharing.

Quick Start

For Feature Prioritization

python scripts/rice_prioritizer.py sample  # Create sample CSV
python scripts/rice_prioritizer.py sample_features.csv --capacity 15

For Interview Analysis

python scripts/customer_interview_analyzer.py interview_transcript.txt

Sponsors

Details

Repository
github.com/sickn33/antigravity-awesome-skills

More from sickn33/antigravity-awesome-skills

All 708

Recommended

1juliusbrussee avatarcavemanjuliusbrussee/cavemanUltra-compressed communication mode. Cuts output tokens 65% (measured) by speaking like caveman while keeping full technical accuracy. Supports intensity levels618.3Kskills.sh installs
2mattpocock avatargrill-memattpocock/skillsA relentless interview to sharpen a plan or design.1.5Mskills.sh installs
3shadcn avatarimproveshadcn/improveSurvey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute. Strictly read-only on s40Kskills.sh installs
4obra avatarsystematic-debuggingobra/superpowersUse when encountering any bug, test failure, or unexpected behavior, before proposing fixes326.7Kskills.sh installs
5forrestchang avatarkarpathy-guidelinesforrestchang/andrej-karpathy-skillsBehavioral guidelines to reduce common LLM coding mistakes through explicit assumptions, simplicity, and verifiable success criteria.17.9Kskills.sh installs
6vercel-labs avatarfind-skillsvercel-labs/skillsHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express int4.3Mskills.sh installs