media-agent-skills
AGENTS.md4 starsChanged 18 days agoMITView on GitHub
Skills follow the Agent Skills open format: The skills/ directory is the single source of truth. Symlinks/junctions for different AI tools (.github/skills/, .claude/skills, .cursor/skills, .agent/skills) all point back to skills/. This repo supports both Windows and Linux: This repo is a Claude Code plugin marketplace. To use: See .claude-plugin/marketplace.json for available plugin groups.
- Reads credentials
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,700 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository15 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- audiobookshelfSkill
- audiobooksSkill
- copilot-sdkSkill
- ebookSkill
- imdbSkill
- internetarchiveSkill
- jellyfinSkill
- kavitaSkill
- libgenSkill
- nyaaSkill
- plexSkill
- qbittorrentSkill
- tvdbSkill
- ytsSkill
The file
We split this AGENTS.md into the rules it gives an agent
8 rules. About 0 are common, 4 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Distinctive: line 6
Use 4 spaces for indentation (no tabs)
- Distinctive: line 7
Use snake_case for function and variable names
- Very specific: line 8
Do not call python -c with generated code.
- Distinctive: line 9
Always print progress messages when creating Python scripts
- Very specific: line 42
Create temporary scripts and test files under temp/
- Very specific: line 54
Never commit .env to version control
- Very specific: line 62
Use pathlib.Path for all file paths
- Distinctive: line 64
Avoid OS-specific path separators in Python code
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI Agents — Coding Guidelines
Basic Standards
- This repo uses uv for Python package management; always run scripts with
uv run python - Use 4 spaces for indentation (no tabs)
- Use snake_case for function and variable names
- Do not call
python -cwith generated code; create a Python script then run it - Always print progress messages when creating Python scripts
Project Structure
skills/ # Agent skills (agentskills.io format)
<skill-name>/
SKILL.md # Required: metadata + instructions
scripts/ # Code snippets and reusable modules
mcp_servers/ # MCP server implementations
anime_organizer/ # Anime library organizer
anime_database/ # Anime metadata (MongoDB)
audiobooks_organizer/ # Legacy audiobook prompts
ebook_organizer/ # Legacy ebook prompts
prompts/ # Standalone prompt files
temp/ # Temporary scripts and data (gitignored)Skills Directory
Skills follow the Agent Skills open format:
- Each skill lives in
skills/<skill-name>/with aSKILL.mdfile - Directory names: lowercase letters, numbers, and hyphens only
- The
namefield in YAML frontmatter must match the directory name - Code snippets go in
scripts/; assets go inassets/
The skills/ directory is the single source of truth. Symlinks/junctions for
different AI tools (.github/skills/, .claude/skills, .cursor/skills, .agent/skills)
all point back to skills/.
Temporary Files
- Create temporary scripts and test files under
temp/ - Store intermediate data (JSON, etc.) under
temp/ temp/is gitignored — do not commit temporary files
File Handling
- Path handling must support both Windows and Linux (use
pathlib.Path) - Reference library paths via environment variables, not hardcoded paths
Configuration
- Store all sensitive data (usernames, passwords, API keys, hosts) in
.env - Never commit
.envto version control - See
.env.examplefor all available configuration variables - Skills reference env vars in their
.envcode blocks with placeholder values
Cross-Platform Support
This repo supports both Windows and Linux:
- Use
pathlib.Pathfor all file paths - Shell scripts:
update_agents.ps1(Windows) andupdate_agents.sh(Linux/macOS) - Avoid OS-specific path separators in Python code
Claude Code Plugin Marketplace
This repo is a Claude Code plugin marketplace. To use:
/plugin marketplace add <owner>/<repo>See .claude-plugin/marketplace.json for available plugin groups.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

