forked from ai-ml/skills-library
Generated handcrafted meeting summaries from Meetbot-facilitated Matrix meetings into Markdown posts for Fedora Discussion topics. A reusable definition for AI LLMs to summarize Fedora Meetbot HTML log files, create a consistent summary report for posting on Fedora Discussion, and generate ticket comment updates on Forgejo from meeting discussion. Currently designed for Google Gemini 3.
Update the top-level README skills table to list all four skills (fedora-compose-triage, fedora-ftbfs-search, meeting-secretary, packit-pull-from-upstream-onboarding). Remove skills/README.md (redundant) and clean up references to it. Signed-off-by: Clement Verna <cverna@tutanota.com> Assisted-by: OpenCode |
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| skills | ||
| AGENTS.md | ||
| CLAUDE.md | ||
| CONTRIBUTING.md | ||
| LICENSE.txt | ||
| README.md | ||
| REDHAT.md | ||
Fedora AI Skills Library
A library of reusable AI skills for Fedora community workflows.
Skills follow the Agent Skills open format — each skill is a directory containing a SKILL.md file with YAML frontmatter and instructions, plus optional references/ and assets/ subdirectories.
Skills
| Skill | Description |
|---|---|
fedora-compose-triage |
Triage Fedora compose-tracker issues — staged workflow for investigating FINISHED_INCOMPLETE and DOOMED composes |
fedora-ftbfs-search |
Search Bugzilla for existing Fedora FTBFS/FTI bugs for packages needing rebuild |
meeting-secretary |
Transform Fedora Meetbot HTML log files into structured Markdown outputs — Fedora Discussion summary posts and Forgejo ticket comments |
packit-pull-from-upstream-onboarding |
Set up automated upstream-release tracking for a Fedora dist-git package using Packit's pull_from_upstream |
Repository layout
skills/
└── <skill-name>/
├── SKILL.md # Required: YAML frontmatter + instructions
├── references/ # Optional: reference documentation loaded on demand
└── assets/ # Optional: templates and static resources
Contributing
See CONTRIBUTING.md for how to add or improve a skill.
License
CC BY-SA 4.0 — Justin Wheeler, Clement Verna, Fedora AI/ML SIG, and community contributors.