Autom Automation
ComposioHQ/awesome-claude-skills
Automate Autom tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
Create and manage scheduled and price-triggered automations.
$ npx skills add ginlix-ai/LangAlpha --skill automation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ginlix-ai/LangAlpha automation --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/ginlix-ai/LangAlpha.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/langalpha_service/skills/automation .claude/skills/automation && 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 "automation" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/automation into .claude/skills/automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automation", 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/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/automationType 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 ginlix-ai/LangAlpha --skill automation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ginlix-ai/LangAlpha automation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/langalpha_service/skills/automation .agents/skills/automation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "automation" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/automation into .agents/skills/automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automation", 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 ginlix-ai/LangAlpha --skill automation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ginlix-ai/LangAlpha automation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/langalpha_service/skills/automation .cursor/skills/automation && 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 "automation" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/automation into .cursor/skills/automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automation", 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/ginlix-ai/LangAlpha.git --path plugins/langalpha_service/skills/automation--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 ginlix-ai/LangAlpha --skill automation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ginlix-ai/LangAlpha automation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/langalpha_service/skills/automation .gemini/skills/automation && 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 "automation" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/automation into .gemini/skills/automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automation", 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 ginlix-ai/LangAlpha automationInstalls 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 ginlix-ai/LangAlpha --skill automation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/langalpha_service/skills/automation .github/skills/automation && 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 "automation" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/automation into .github/skills/automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automation", 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 ginlix-ai/LangAlpha --skill automation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ginlix-ai/LangAlpha automation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/langalpha_service/skills/automation .opencode/skills/automation && 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 "automation" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/automation into .opencode/skills/automation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automation", 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.
automationCreate and manage scheduled and price-triggered automations.
Automation is an agent skill from ginlix-ai/LangAlpha. Create and manage scheduled and price-triggered automations.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Claude Code for Financial Market. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 2855e43. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Automation loads about 2.3k tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 726 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.
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.
The full file from ginlix-ai/LangAlpha at commit 2855e43, republished under its Apache-2.0 licence (© ginlix-ai). 726 words, ~2,347 tokens.
.claude/skills/automation/SKILL.md (or your agent's skills folder).This skill provides 3 tools for creating and managing scheduled automations:
check_automations - List all or inspect a specific automationcreate_automation - Create a new scheduled automationmanage_automation - Update, pause, resume, trigger, or delete automationsAlways confirm with the user before calling create_automation. Automations run autonomously on a schedule, so getting the details right matters. If the user's request is unclear or underspecified, ask to clarify:
Summarize what you're about to create and get a "yes" before calling the tool.
List all automations or inspect a specific one with execution history.
| Parameter | Type | Required | Description |
|---|---|---|---|
automation_id | str | No | Automation ID to inspect. Omit to list all. |
# List all automations
check_automations()
# Inspect a specific automation (includes last 5 executions)
check_automations(automation_id="abc-123")Create a new scheduled automation.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | str | Yes | Short name for the automation |
instruction | str | Yes | The prompt the agent will execute on each run |
schedule | str | Cron/once | Cron expression or ISO datetime (see below). Omit for price triggers. |
trigger_type | str | No | "price" for a price trigger; otherwise inferred from schedule |
trigger_config | dict | Price | Symbol and conditions (see Price-Triggered Automations) |
description | str | No | Optional description |
thread | str | No | "new" (default), "persistent", or "current" (see Thread Strategy) |
delivery | str | No | Comma-separated delivery methods (e.g. "slack") |
| Mode | Behavior |
|---|---|
"new" | Fresh thread each run — no conversation history carried over (default) |
"persistent" | Single dedicated thread — all runs share conversation history |
"current" | Pins to the current conversation thread — automation runs continue here |
0 9 * * 1-5 — weekdays at 9 AM0 */4 * * * — every 4 hours30 8 1 * * — 1st of each month at 8:30 AM2026-03-01T10:00:00 — single execution at that time# Daily market briefing on weekdays at 9 AM
create_automation(
name="Morning Market Brief",
instruction="Summarize overnight market moves, top gainers/losers, and any news for my watchlist.",
schedule="0 9 * * 1-5",
)
# One-time earnings reminder
create_automation(
name="AAPL Earnings Reminder",
instruction="Analyze AAPL ahead of earnings: recent price action, analyst expectations, key metrics to watch.",
schedule="2026-04-30T08:00:00",
description="Pre-earnings analysis for Apple Q2 2026",
)
# Daily report delivered to Slack
create_automation(
name="Morning Market Brief",
instruction="Summarize overnight market moves for my watchlist.",
schedule="0 9 * * 1-5",
delivery="slack",
)
# Automation with persistent thread (all runs share history)
create_automation(
name="Weekly Portfolio Review",
instruction="Review my portfolio performance and update the analysis.",
schedule="0 9 * * 1",
thread="persistent",
)
# Automation that continues in the current conversation
create_automation(
name="Hourly Price Check",
instruction="Check AAPL, MSFT, GOOGL prices and alert if any moved >2%.",
schedule="0 * * * *",
thread="current",
)In addition to cron/datetime schedules, automations can trigger when a stock price meets a specific condition. Set trigger_type="price" and provide a trigger_config dict instead of a schedule; passing both is refused.
symbol is a bare US stock or index ticker (AAPL, SPX), with no ^ or I: prefix. There is no crypto, currency or futures feed, so no alert can watch those.
| Condition | Description |
|---|---|
price_above | Fires when price rises above the given value |
price_below | Fires when price drops below the given value |
pct_change_above | Fires when the price is up more than the given percent |
pct_change_below | Fires when the price is down more than the given percent. The value is positive: 3 means a 3% drop |
For percentage conditions, reference sets the baseline price:
| Reference | Description |
|---|---|
previous_close | Prior trading day's closing price (default) |
day_open | Current trading day's opening price |
| Mode | Behavior |
|---|---|
one_shot | Trigger once, then mark completed (default) |
recurring | Re-arm after cooldown. Omit cooldown_seconds for once-per-trading-day default, or set cooldown_seconds (min 14400 = 4 hours) for custom interval. |
# Alert when AAPL drops below $150 (one-shot)
create_automation(
name="AAPL Price Alert",
instruction="AAPL has dropped below $150. Summarize recent news and analyst sentiment.",
trigger_type="price",
trigger_config={
"symbol": "AAPL",
"conditions": [{"type": "price_below", "value": 150}],
},
)
# Run analysis when TSLA moves up 5% from yesterday's close
create_automation(
name="TSLA Momentum Alert",
instruction="TSLA is up 5% from yesterday's close. Analyze volume, technicals, and any catalysts.",
trigger_type="price",
trigger_config={
"symbol": "TSLA",
"conditions": [
{"type": "pct_change_above", "value": 5, "reference": "previous_close"},
],
},
)
# Recurring alert with 4-hour cooldown
create_automation(
name="NVDA Volatility Watch",
instruction="NVDA moved more than 3% from today's open. Summarize volume, options flow and news.",
trigger_type="price",
trigger_config={
"symbol": "NVDA",
"conditions": [
{"type": "pct_change_above", "value": 3, "reference": "day_open"},
],
"retrigger": {"mode": "recurring", "cooldown_seconds": 14400},
},
)one_shot retrigger mode unless the user asks for repeated alerts. For recurring, omit cooldown_seconds to default to once per trading day.Manage an existing automation.
| Parameter | Type | Required | Description |
|---|---|---|---|
automation_id | str | Yes | Automation ID to manage |
action | str | Yes | One of: update, pause, resume, trigger, delete |
name | str | No | New name (update only) |
description | str | No | New description (update only) |
instruction | str | No | New prompt (update only) |
schedule | str | No | New cron or ISO datetime (update only) |
thread | str | No | "new", "persistent", or "current" (update only) |
delivery | str | No | Comma-separated delivery methods (update only) |
remove_delivery | bool | No | Set to true to remove delivery config (update only) |
| Action | Description |
|---|---|
update | Change name, description, instruction, schedule, thread strategy, or delivery |
pause | Temporarily stop the automation from running |
resume | Re-enable a paused automation |
trigger | Run the automation immediately (outside normal schedule) |
delete | Permanently remove the automation |
# Pause an automation
manage_automation(automation_id="abc-123", action="pause")
# Resume it
manage_automation(automation_id="abc-123", action="resume")
# Trigger an immediate run
manage_automation(automation_id="abc-123", action="trigger")
# Update the schedule to run every Monday at 8 AM
manage_automation(
automation_id="abc-123",
action="update",
schedule="0 8 * * 1",
)
# Switch an automation to a persistent thread
manage_automation(automation_id="abc-123", action="update", thread="persistent")
# Remove delivery from an automation
manage_automation(automation_id="abc-123", action="update", remove_delivery=True)
# Delete an automation
manage_automation(automation_id="abc-123", action="delete")© ginlix-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/langalpha_service/skills/automation of ginlix-ai/LangAlpha.
Open the folder on GitHubat commit 2855e43
Automation 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 |
|---|---|---|---|---|---|---|
| Automation this skillginlix-ai/LangAlpha | 1.8k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Autom AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~723 | Automated safety check: Pass | None | |
| Doppler Marketing Automation AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~809 | Automated safety check: Pass | None | |
| Scheduleasgeirtj/system_prompts_leaks | 69k | — | ~2.9k | Automated safety check: Pass | CC0-1.0 | |
| Scheduleasgeirtj/system_prompts_leaks | 69k | — | ~597 | Automated safety check: Pass | CC0-1.0 | |
| Pricingsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.9k | Automated safety check: Pass | MIT |
ComposioHQ/awesome-claude-skills
Automate Autom tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
ComposioHQ/awesome-claude-skills
Automate Doppler Marketing Automation tasks via Rube MCP (Composio).
asgeirtj/system_prompts_leaks
Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule.
asgeirtj/system_prompts_leaks
Create or update a scheduled task that runs automatically. An agent skill from asgeirtj/system_prompts_leaks.
sickn33/agentic-awesome-skills
When the user wants help with pricing decisions, packaging, or monetization strategy.
ComposioHQ/awesome-claude-skills
Automate Google Meet tasks via Rube MCP (Composio): create Meet spaces, schedule video conferences via Calendar events, manage meeting access.
ginlix-ai/LangAlpha
Quality-checks an investment deck in .pptx form before it goes out: number consistency, chart and narrative alignment, source coverage, language and a circulation verdict.
ginlix-ai/LangAlpha
Produces a first-time equity research initiation report in five tasks: company research, financial model, valuation, charts and a DOCX report.
ginlix-ai/LangAlpha
Builds or repairs an integrated income statement, balance sheet and cash flow model in Excel with live formulas, supporting schedules, scenarios and a Checks sheet.
ginlix-ai/LangAlpha
Audits an existing Excel financial model without editing it, checking structure, formulas, integrity identities and source tie-out, and ends in a prioritized issue log.
ginlix-ai/LangAlpha
Builds a live Excel DCF valuation workbook with free cash flow projections, WACC, terminal value, three scenarios, sensitivity grids and a reverse DCF.
ginlix-ai/LangAlpha
Builds Word files with python-docx, edits existing ones in place with tracked changes and comments, then renders and validates the result.
Create and manage scheduled and price-triggered automations. Automation is an agent skill from ginlix-ai/LangAlpha. Create and manage scheduled and price-triggered automations.
Run `npx skills add ginlix-ai/LangAlpha --skill automation -a claude-code`. Or copy the skill folder (plugins/langalpha_service/skills/automation in ginlix-ai/LangAlpha) into .claude/skills/automation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ginlix-ai/LangAlpha --skill automation -a codex`. Or copy the skill folder (plugins/langalpha_service/skills/automation in ginlix-ai/LangAlpha) into .agents/skills/automation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ginlix-ai/LangAlpha --skill automation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/automation, .gemini/skills/automation, .github/skills/automation and .opencode/skills/automation in your project.
SKILL.md names no scripts, command-line tools or credentials: Automation is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Automation is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Automation: Autom Automation (ComposioHQ/awesome-claude-skills, 77k stars), Doppler Marketing Automation Automation (ComposioHQ/awesome-claude-skills, 77k stars), Schedule (asgeirtj/system_prompts_leaks, 69k stars) and Schedule (asgeirtj/system_prompts_leaks, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ginlix-ai (a GitHub organization) maintains it in ginlix-ai/LangAlpha, which has 1,811 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 10, 2026.
Source: ginlix-ai/LangAlpha on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.