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troykelly AI Skills

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

Author statistics

Indexed skills

128

Repository stars across indexed skills

640

Repository forks

61

Average repository stars per indexed skill

5

Repository stars may repeat across skills from the same repository.

128 skills

Browse skills

GitHub

milestone-management

troykelly

Use for time-based grouping of issues into delivery phases. Creates, updates, and tracks milestones, associates issues and epics, monitors progress toward milestone completion.

GitHub

pr-creation

troykelly

Use after completing implementation - create pull request with complete documentation, proper labels, linked issues, and verification summary

GitHub

review-scope

troykelly

Use before code review - determine if change is minor (review new code only) or major (review impacted code too)

GitHub

sentry-code-review

troykelly

Analyze and resolve Sentry comments on GitHub Pull Requests. Use this when asked to review or fix issues identified by Sentry in PR comments. Can review specific PRs by number or automatically find recent PRs w...

GitHub

no-deferred-work

troykelly

Use during all development - no TODOs, no FIXMEs, no "we'll add this later"; do it now or get explicit deferral permission

GitHub

review-gate

troykelly

HARD GATE before PR creation - verifies review artifact exists in issue comments, all findings addressed or tracked, blocks PR creation if requirements not met

GitHub

database-architecture

troykelly

MANDATORY when designing schemas, writing migrations, creating indexes, or making architectural database decisions - enforces PostgreSQL 18 best practices including AIO, UUIDv7, temporal constraints, and modern...

GitHub

autonomous-operation

troykelly

Use when starting any work session - establishes autonomous operation mode, overriding token limits and time pressure to work until goal is achieved

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.