Repository
vishalmdi/ai-native-pm-os agent skills
- skill
- 1
- GitHub stars
- 108
GitHub description: “The exhaustive guide to mastering Claude for Product Managers. Build your AI-native PM OS from scratch — PRDs, research synthesis, stakeholder decks, and autonomous agents. 11 modules, 40+ hours, real deliverables.”
- Stars
- 108 (15 forks)
- Licence
- No licence
- Last push
- Apr 2026
- Created
- Apr 2026
- ai-agents
- ai-course
- ai-native
- anthropic
- claude
- claude-code
- llm
- mcp
- pm-tools
- prd-generation
- product-management
- product-manager
- tutorial
- claude-for-pms
Install all skills
npx skills add vishalmdi/ai-native-pm-osAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in vishalmdi/ai-native-pm-os, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Loads all PM context files and prepares Claude for a productive session. | vishalmdi/ | 108 | — | ~562 | Automated safety check: Pass | No licence | 5 mo ago |
Questions, answered from the data.
What is the best skill in vishalmdi/ai-native-pm-os?
Load Context from vishalmdi/ai-native-pm-os ranks first of the 1 skills in vishalmdi/ai-native-pm-os listed here, with the highest score: its repository has 108 GitHub stars, its SKILL.md loads about 562 tokens and it passes the automated safety check with no findings.
Are the skills in vishalmdi/ai-native-pm-os official?
None yet. All 1 skills in vishalmdi/ai-native-pm-os listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from vishalmdi/ai-native-pm-os?
Run npx skills add vishalmdi/ai-native-pm-os in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.