Search

PythonReactSEOPDF

averycrespi AI Skills

GitHub ↗

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

Author statistics

Indexed skills

8

Repository stars across indexed skills

8

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

8 skills

Browse skills

GitHub

completing-work

averycrespi

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion by presenting structured options

GitHub

jira

averycrespi

This skill should be used when the user asks about Jira work items, sprints, boards, or projects. Activates when detecting: ticket IDs (PROJ-123), questions about "current sprint", "my tickets", "Jira issues",...

GitHub

confluence

averycrespi

This skill should be used when the user mentions Confluence, references Confluence page URLs, asks to search for documentation, or needs to view Confluence content. Activates on keywords like "Confluence", "wik...

GitHub

creating-skills

averycrespi

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...

GitHub

executing-plans

averycrespi

Use when you have a written implementation plan to execute - implements inline with subagent review gates for spec compliance and code quality

GitHub

writing-plans

averycrespi

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

GitHub

brainstorming

averycrespi

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

GitHub

using-skills

averycrespi

Establishes how to find and use skills - requires Skill tool invocation before any response

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.