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mbcoalson AI Skills

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Browse published AI skills maintained by mbcoalson. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

34

Repository stars across indexed skills

68

Repository forks

0

Average repository stars per indexed skill

2

Repository stars may repeat across skills from the same repository.

34 skills

Browse skills

GitHub

executing-plans

mbcoalson

Use when you have a written implementation plan to execute in a separate session with review checkpoints

GitHub

skill-builder

mbcoalson

Use this skill when creating new Claude Code skills from scratch, editing existing skills to improve their descriptions or structure, or converting Claude Code sub-agents to skills. This includes designing skil...

GitHub

writing-skills

mbcoalson

Use when creating new skills, editing existing skills, or verifying skills work before deployment

GitHub

skyspark-analysis

mbcoalson

SkySpark analytics for building automation systems including Axon queries, trend analysis, fault detection, and performance optimization using haystack tagging standards

GitHub

finishing-a-development-branch

mbcoalson

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

GitHub

writing-plans

mbcoalson

Use when you have a spec or requirements for a multi-step task, before touching code

GitHub

verification-before-completion

mbcoalson

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...

GitHub

receiving-code-review

mbcoalson

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.