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anyo-docs
Create, update, and organize English Markdown documentation in Anyo, including how-to guides, knowledge, decisions, component READMEs, and agreed tasks. Use for documentation work rather than unrelated code changes.
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
Not yet listed on ClawHub or SkillsMP
// README
Anyo
For Humans
With Anyo, you can ask your AI model to build workflows such as:
- A PR reviewer that checks new pull requests.
- A bug analyzer that investigates bug reports shared in Slack.
- A team assistant that answers questions in Slack.
Anyo handles the integrations and job execution, so your jobs stay clean and easy to read.
We support GitHub, Slack, Better Stack, and Notion today. We plan to add more tools soon.
Example: build a PR reviewer
Ask your AI model:
Use Anyo to build a PR reviewer. When a pull request opens, review its changes and summarize bugs and suggested fixes.
After you connect GitHub and configure your AI tool, the workflow is:
New pull request → Anyo starts your job → AI reviews the changes → Your code gets the review.
Your job supplies the PR changes and review prompt. Anyo handles the webhook, queue, and AI execution, so your Python code stays focused on the review.
Try it
Use Python 3.12 or later. In your Python project, create a virtual environment and install Anyo from PyPI:
python3.12 -m venv .venv
source .venv/bin/activate
python -m pip install 'anyo==0.1.0a2'
Anyo uses the MIT license. Version 0.1.0a2 is available on PyPI; you do not need to clone this repository. See installation and requirements.txt for version pinning and optional dependencies.
Save this as main.py. Replace your-org and your-repo with your repository owner and name:
import anyo
from anyo import HookEvent
def pipeline(event: HookEvent) -> None:
print(f"New pull request: #{event.pull_request_number}")
if __name__ == "__main__":
anyo.add_hook(
provider="github",
action="pr_created",
organization="your-org",
repository="your-repo",
pipeline=pipeline,
hook_id="new-pull-request",
)
anyo.start()
Start it with your webhook secret:
export ANYO_GITHUB_WEBHOOK_SECRET='replace-with-a-long-random-secret'
python main.py
Connect GitHub, then open a pull request. Your function prints its number.
Anyo listens on 127.0.0.1:8000 and saves jobs in .anyo/queue.sqlite3. Everything runs in one process by default.
How-to guides
// HOW IT'S BUILT
KEY FILES