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SKILL verified MIT Self-run

Postai Automation

skill-oyi77-1ai-skills-postai-automation · by oyi77

Automate TikTok and Instagram video creation from product images using POST AI — generates dozens of captioned,

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Install

$ agentstack add skill-oyi77-1ai-skills-postai-automation

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
23d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Postai Automation

When to Use

Trigger phrases:

  • "postai automation"
  • "Use when working with postai automation"
  • Automating social media posting across platforms
  • Scheduling content for multiple accounts
  • Cross-posting from one platform to another
  • Managing social media automation workflows
  • Building social media content pipelines

When NOT to Use

  • For one-off tasks that will never repeat
  • When the process requires human judgment at every step
  • When the cost of automation exceeds the cost of manual execution

Overview

Postai Automation automates workflow automation to reduce manual effort and increase reliability.

Workflow

# Example: Workflow automation
import schedule
import time

def run_workflow():
    data = fetch_data()
    processed = transform(data)
    deliver(processed)

schedule.every().hour.do(run_workflow)
while True:
    schedule.run_pending()
    time.sleep(60)
  1. Define triggers — Set up events or schedules that initiate the automation
  2. Configure inputs — Specify data sources and parameters
  3. Design pipeline — Define the sequence of automated steps
  4. Add error handling — Set up retries, alerts, and fallback paths
  5. Test end-to-end — Validate the full automation with realistic data
  6. Deploy and monitor — Activate and track performance

Configuration

  • Set trigger conditions (schedule, webhook, event)
  • Define input validation rules
  • Configure notification channels for alerts
  • Set retry policies and timeout limits

Best Practices

  • Start with simple automations and iterate
  • Add logging at every step for debugging
  • Use idempotent operations where possible
  • Test with edge cases before deploying

Anti-Rationalization

| Rationalization | Reality | |---|---| | "Manual is faster for one-off tasks" | One-off tasks become recurring. Automate early, save time later. | | "I will add error handling later" | You never do. Handle errors from day one. | | "Automation is overkill" | If you do it twice, automate it. If you do it daily, it is critical infrastructure. |

Process

  1. Prepare — Gather requirements, verify prerequisites, set up environment
  2. Execute — Run postai automation workflow with configured parameters
  3. Verify — Validate output meets requirements, document results

Verification

  • [ ] All steps executed successfully
  • [ ] Results validated against acceptance criteria
  • [ ] Error handling tested with edge cases
  • [ ] Documentation updated with findings

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.