content-planner-auto

content-planner-auto is a skill for Claude Code from oyi77/1ai-skills. It costs 38 tokens per session (2,055 once invoked), scanned A, original, MIT.

A tool for automatically creating 30-day content calendars with rotating topics, platform-specific timing, multiple account schedules, seasonal events, and batch publishing.

In plain words
What is it for?
It helps plan monthly social content, schedule batches across platforms, rotate content themes, coordinate multiple accounts, and align posts with seasonal Indonesian events.
Why use it?
It helps replace ad hoc posting with an organised monthly plan, especially when managing several brands, clients, or accounts.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the 1ai-skills plugin — 209 skills, 4 commands shipped together

Good fit It helps plan monthly social content, schedule batches across platforms, rotate content themes, coordinate multiple accounts, and align posts with seasonal Indonesian events.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oyi77/1ai-skills/planner-auto
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add oyi77/1ai-skills --skill planner-auto
Clone the repo
git clone --depth 1 https://github.com/oyi77/1ai-skills

Made for: Claude Code.

Or install 1ai-skills, the plugin that ships this one along with the rest of its 209 skills, 4 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-planner-auto

README.md
[![agentmods](https://agentmods.dev/badge/skills/oyi77/1ai-skills/planner-auto/github.svg)](https://agentmods.dev/skills/oyi77/1ai-skills/planner-auto)
Your own site
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/planner-auto"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/planner-auto/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for content-planner-auto

Your own site · 80×15
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/planner-auto"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/planner-auto.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,055 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.02055
Opus 5 $0.00019 $0.01027
Sonnet 5 $0.00008 $0.00411
Haiku 4.5 $0.00004 $0.00205

Measured 7d ago against content hash 2e29ae62622e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

content-planner-auto scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

content/planner-auto/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Planner Auto

Auto-generate 30-day content calendars for your brand or clients. Revenue survival tool.

When to Use

Trigger phrases:

  • "content planner auto"
  • "Help me with content planner auto"
  • "generate content calendar"
  • "plan my content for the month"

Use cases:

  • When the task matches this skill's domain expertise
  • Creating monthly content calendars for clients
  • Scheduling multi-platform content in batches
  • Aligning content with seasonal events (especially Indonesian)
  • Managing multiple brand/account content streams

When NOT to use:

  • For tasks outside this skill's scope
  • When real-time data is required (use live data feeds)
  • For content requiring deep domain expertise you lack
  • For legal, medical, or financial advice content

Overview

Content Planner Auto produces professional 30-day content calendars with pillar topic rotation, platform-optimized posting times, multi-account rotation, seasonal Indonesian event alignment, and PostBridge batch scheduling integration.

Money-Making Overview

Buyer Persona: SMEs, agencies, and e-commerce brands in Indonesia/US that post content but have no content strategy. They post when they remember. They need a calendar that keeps them consistent.

Pricing Tiers:

Tier Price What They Get
Monthly Calendar $200/mo 30-day calendar, 1 platform, pillar rotation + seasonal hooks
Multi-Platform $500/mo 30-day calendar across 3 platforms, timing optimized per platform, PostBridge scheduling
Retainer + Execution $800/mo Full calendar + caption writing + asset briefs + weekly performance note

First-Dollar Timeline: Day 1 — run the script below for any client niche and deliver a calendar by end of day. $200 in your pocket.

First Action in 60 Minutes

Copy-paste this script. Replace NICHE, PLATFORMS, and BRAND_VOICE with a real client's info. It outputs a 30-day calendar CSV ready to send.

#!/usr/bin/env python3
# generate_calendar.py — 30-day content calendar for any niche
# Usage: python3 generate_calendar.py > calendar_<client>_<month>.csv

import csv, sys, json
from datetime import datetime, timedelta
from textwrap import dedent

# ── CLIENT CONFIG (edit these) ──────────────────────────────
CLIENT = "UrbanWear Indonesia"
NICHE = "streetwear fashion"
PLATFORMS = ["Instagram", "TikTok", "Shopee Feed"]
BRAND_VOICE = "edgy, Gen Z, casual Indonesian with English slang"
PILLARS = ["outfit inspo", "new arrivals", "styling tips", "behind the scenes", "customer looks"]
SEASONAL_HOOKS = [
    "Hari Kemerdekaan special drop",
    "Back to campus fit check",
    "Rainy season layering guide",
]
# ────────────────────────────────────────────────────────────

HEADERS = ["Day", "Date", "Platform", "Pillar", "Topic", "Hook/Format", "CTA", "Assets Needed", "Notes"]
today = datetime.now().date()
rows = []

for day_offset in range(30):
    date = today + timedelta(days=day_offset)
    pillar = PILLARS[day_offset % len(PILLARS)]
    platform = PLATFORMS[day_offset % len(PLATFORMS)]
    hook = SEASONAL_HOOKS[day_offset % len(SEASONAL_HOOKS)] if day_offset < 3 else ""

    rows.append({
        "Day": day_offset + 1,
        "Date": date.isoformat(),
        "Platform": platform,
        "Pillar": pillar,
        "Topic": f"[{pillar}] — {CLIENT} {NICHE} content #{day_offset+1}",
        "Hook/Format": hook or "Reel / Carousel / Single Image",
        "CTA": "Shop now (link in bio)",
        "Assets Needed": "Product photo, user UGC, or flat lay",
        "Notes": BRAND_VOICE,
    })

writer = csv.DictWriter(sys.stdout, fieldnames=HEADERS)
writer.writeheader()
writer.writerows(rows)

print(f"\n# Calendar for {CLIENT} — {today.strftime('%B %Y')}", file=sys.stderr)
print(f"# Generated: {len(rows)} posts across {len(PLATFORMS)} platforms", file=sys.stderr)

Read the full file on GitHub · 219 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 219 lines · 38 tokens per session scan A 2e29ae62622e

Subscribe to this mod's changes

content-planner-auto is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 2,055 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.