Agent Skills: content-strategy-monthly-planning-template
Sub-skill of content-strategy: Monthly Planning Template.
ID: vamseeachanta/workspace-hub/content-strategy-monthly-planning-template
177
Install this agent skill to your local
Skill Files
The files that make up content-strategy-monthly-planning-template.
More agent skills
- hf-cloud-python-env-setupSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.
- llm-icon-finderFinding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.
- durable-objectsBuild, debug, or review Cloudflare Durable Objects code for persistent state and coordination.
- shodan-reconnaissanceThis skill should be used when the user asks to "search for exposed devices on the internet," "perform Shodan reconnaissance," "find vulnerable services using Shodan," "scan IP ranges with Shodan," or "discover IoT devices and open ports." It provides comprehensive guidance for using Shodan's search engine, CLI, and API for penetration testing reconnaissance.
- hoodmarketsLaunch, buy, sell, and claim fees for hood.markets tokens on Robinhood Chain (4663) via api.hood.markets. Use for hoodmarkets, hood.markets, $hood, launch token, deploy token, buy token, sell token, claim fees, Bankr Robinhood. NEVER use hood.markets for API POST — use api.hood.markets.
- polarsHigh-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.