Aeon Agent Setup and Management
aeonfun/aeon
Sets up and manages an Aeon agent instance that runs skills on a schedule through GitHub Actions: starting, rescheduling, debugging, editing skills and mining chat history.
Build automated AI workflows combining multiple models and services.
Install AI Automation Workflows
$ npx skills add NeverSight/learn-skills.dev --skill ai-automation-workflows -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-automation-workflows --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-automation-workflows .claude/skills/ai-automation-workflows && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-automation-workflows" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-automation-workflows into .claude/skills/ai-automation-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-automation-workflows", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-automation-workflowsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NeverSight/learn-skills.dev --skill ai-automation-workflows -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-automation-workflows --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .agents/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-automation-workflows .agents/skills/ai-automation-workflows && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-automation-workflows" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-automation-workflows into .agents/skills/ai-automation-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-automation-workflows", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NeverSight/learn-skills.dev --skill ai-automation-workflows -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-automation-workflows --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-automation-workflows .cursor/skills/ai-automation-workflows && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-automation-workflows" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-automation-workflows into .cursor/skills/ai-automation-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-automation-workflows", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NeverSight/learn-skills.dev.git --path data/skills-md/101-skills/skills/ai-automation-workflows--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NeverSight/learn-skills.dev --skill ai-automation-workflows -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-automation-workflows --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-automation-workflows .gemini/skills/ai-automation-workflows && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-automation-workflows" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-automation-workflows into .gemini/skills/ai-automation-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-automation-workflows", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NeverSight/learn-skills.dev ai-automation-workflowsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NeverSight/learn-skills.dev --skill ai-automation-workflows -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .github/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-automation-workflows .github/skills/ai-automation-workflows && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-automation-workflows" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-automation-workflows into .github/skills/ai-automation-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-automation-workflows", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NeverSight/learn-skills.dev --skill ai-automation-workflows -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NeverSight/learn-skills.dev ai-automation-workflows --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/data/skills-md/101-skills/skills/ai-automation-workflows .opencode/skills/ai-automation-workflows && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-automation-workflows" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/ai-automation-workflows into .opencode/skills/ai-automation-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-automation-workflows", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-automation-workflows- GitHub stars
- 217
- Used in
- 1 other repo
- Token cost
- ~2.6k tokens
- SKILL.md length
- 152 words
- Files
- 13
- Skills in repo
- 42
- Repo updated
- First seen
- Licence
- None found
At a glance
Build automated AI workflows combining multiple models and services.
- Works in 7 steps: Rate limiting - Add delays between API… → Error handling - Always check return codes → Logging - Track all operations → …
- : content automation
- SKILL.md covers Quick Start, Automation Patterns, Scheduled Automation and Monitoring and Logging, plus 4 more sections
- Calls npx and curl
What it does
AI Automation Workflows is an agent skill from NeverSight/learn-skills.dev. Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools: inference.sh CLI, bash scripting, Python SDK, webhook integration. Use for: content automation, data processing, monitoring, scheduled generation. Triggers: ai automation, workflow automation, batch processing, ai pipeline, automated content, scheduled ai, ai cron, ai batch job, automated generation, ai workflow, content at scale, automation script, ai…
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files (for example `stats.json`).
It sits in Productivity & Automation, covering Workflow automation, Scheduled and recurring tasks and Data pipelines and ETL. It works with Python. The repository describes itself as: Curated high-quality AI Agent Skills. Search, install, copy and share. Works with Claude Code, Cursor, OpenClaw, and other AI coding tools.
When your agent uses it
- : content automation
- Data processing
- Scheduled generation
Example prompts
- “/ai-automation-workflows”
Requirements
- Python 3
- Node.js
- Pre-approved tools (allowed-tools): Bash(belt *)
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Rate limiting - Add delays between API calls
- Error handling - Always check return codes
- Logging - Track all operations
- Idempotency - Design for safe re-runs
- Monitoring - Alert on failures
- Backups - Save intermediate results
- Timeouts - Set reasonable limits
What it can do on your machine
Read from SKILL.md and the folder at commit a4c6758. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(belt *)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npxcurl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
inference.shcloud.inference.shraw.githubusercontent.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI Automation Workflows loads about 2.6k tokens when it runs. Until then it costs about 138 tokens; SKILL.md has 152 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 152 words (~2,565 tokens).
“Build automated AI workflows via inference.sh CLI.”
- name
- ai-automation-workflows
- allowed-tools
- Bash(belt *)
Files
SKILL.md and 12 other files in data/skills-md/101-skills/skills/ai-automation-workflows of NeverSight/learn-skills.dev.
- SKILL.md
- description_ar.txt
- description_cn.txt
- description_de.txt
- description_en.txt
- description_es.txt
- description_fr.txt
- description_it.txt
- description_ja.txt
- description_ko.txt
- description_ru.txt
- description_tw.txt
- stats.json
Open the folder on GitHubat commit a4c6758
Used in 1 other repository
We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in NeverSight/learn-skills.dev, which our catalogue first saw on October 7, 2026.
Compare with similar skills
AI Automation Workflows next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Automation Workflows this skillNeverSight/learn-skills.dev | 217 | 1 repos | ~2.6k | Automated safety check: Pass | None | |
| Aeon Agent Setup and Managementaeonfun/aeon | 770 | — | ~9k | Automated safety check: Warn | MIT | |
| Harness 24hthu-nmrc/OpenHarness | 118 | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Robust Error Handling In Scriptsaiming-lab/MetaClaw | 3.5k | — | ~225 | Automated safety check: Pass | MIT | |
| Sentry Python SDKgetsentry/sentry-for-ai | 268 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Celery Taskscohen-liel/hivemind | 110 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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Full Sentry SDK setup for Python. An agent skill from getsentry/sentry-for-ai.
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Related
Works with
Categories
Questions about AI Automation Workflows
What does AI Automation Workflows do?
Build automated AI workflows combining multiple models and services. dev. Build automated AI workflows combining multiple models and services.
When should I use AI Automation Workflows?
AI Automation Workflows fits situations like: : content automation; data processing; scheduled generation.
How do I install AI Automation Workflows in Claude Code?
Run `npx skills add NeverSight/learn-skills.dev --skill ai-automation-workflows -a claude-code`. Or copy the skill folder (data/skills-md/101-skills/skills/ai-automation-workflows in NeverSight/learn-skills.dev) into .claude/skills/ai-automation-workflows in your project. Claude Code loads it when a task matches its description.
How do I install AI Automation Workflows in Codex?
Run `npx skills add NeverSight/learn-skills.dev --skill ai-automation-workflows -a codex`. Or copy the skill folder (data/skills-md/101-skills/skills/ai-automation-workflows in NeverSight/learn-skills.dev) into .agents/skills/ai-automation-workflows in your project. Codex loads it when a task matches its description.
Can I use AI Automation Workflows in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NeverSight/learn-skills.dev --skill ai-automation-workflows -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-automation-workflows, .gemini/skills/ai-automation-workflows, .github/skills/ai-automation-workflows and .opencode/skills/ai-automation-workflows in your project.
What does AI Automation Workflows need to run?
Going by SKILL.md and its folder, AI Automation Workflows needs the command-line tools its instructions call (npx and curl). Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Bash(belt *).
Does AI Automation Workflows access the network?
SKILL.md names 3 domains. As links in the text: inference.sh, cloud.inference.sh and raw.githubusercontent.com. This is read from the text; nothing was executed.
Is AI Automation Workflows safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does AI Automation Workflows use?
No licence was found for AI Automation Workflows or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does AI Automation Workflows use?
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Automation Workflows?
Skills that share tags, products or a category with AI Automation Workflows: Aeon Agent Setup and Management (aeonfun/aeon, 770 stars), Harness 24h (thu-nmrc/OpenHarness, 118 stars), Robust Error Handling In Scripts (aiming-lab/MetaClaw, 3.5k stars) and Sentry Python SDK (getsentry/sentry-for-ai, 268 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Automation Workflows?
NeverSight (a GitHub organization) maintains it in NeverSight/learn-skills.dev, which has 217 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on October 10, 2026.
Source: NeverSight/learn-skills.dev on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.