Marketing ContentWritingProduction

Content Production

Full content pipeline from blank page to published-ready piece.

$skillfish add ~skills/content-production

Real Conversations

See how the Content Production skill responds to actual requests. These are representative examples of what your AI agent will produce.

You

I have rough notes from a customer discovery call about how our project management tool (Nucleus PM) helped a 40-person engineering team cut sprint planning time by 60%. I need a 1,200-word blog post for our website. The audience is engineering managers at B2B SaaS companies. Notes: they used to spend 3 hours per sprint on estimation, now it's 45 min; they love the AI story-point suggester; biggest pain was estimation debates slowing everything down.

Agent

Here's the structure and draft for your 1,200-word post:

Title: How One 40-Person Eng Team Cut Sprint Planning from 3 Hours to 45 Minutes

Intro (150w): Open with the universal pain — the estimation meeting that won't end. Every sprint, the same debate: is this a 5 or an 8? Engineering managers lose afternoons to it. At [Company], their 40-person team was burning 3 hours every sprint before they changed one thing.

Section 1: The Real Cost of Estimation Debates (200w)

  • 3 hrs × 2 sprints/month × 12 months = 72 engineer-hours/year per team
  • It's not just time — it's the morale drain of circular arguments
  • Quote from call: "We'd spend 45 minutes on a single ticket because two seniors disagreed"

Section 2: What Changed — AI Story-Point Suggestions (300w)

  • Walk through how the AI suggester works (anchors the discussion)
  • Psychology: anchoring bias means teams converge faster when there's a starting number
  • The suggester doesn't remove judgment — it removes the blank-slate debate

Section 3: The 45-Minute Sprint (300w)

  • What their planning session looks like now
  • Walk through the new workflow step by step
  • Result: 60% reduction, reclaimed ~36 hours/year per team

CTA (50w): "See how Nucleus PM's AI estimation works — [Start free trial]"

Ready to write the full draft, or do you want to adjust the angle first?

Get Started

How to install and use this skill in your preferred environment.

Skills are designed for AI coding agents (Claude Code, Cursor, Windsurf) and IDE-based workflows where the agent can read files, run scripts, and act on your codebase. Web-based AI can use the knowledge and frameworks, but won't have tool access.

Models & Context

Which AI models and context windows work best with this skill.

Recommended Models

Best
Claude Opus 4 Claude Sonnet 4 GPT-4.1 Gemini 2.5 Pro Grok 3 Kimi K2
Good
Claude Haiku 4.5 GPT-4.1 mini Gemini 2.5 Flash Grok 3 mini

Larger models produce more detailed, production-ready outputs.

Context Window

This skill's SKILL.md is typically 3–10 KB — fits in any modern context window.

8K Skill only
32K+ Skill + conversation
100K+ Skill + references + codebase

All current frontier models (Claude, GPT, Gemini) support 100K+ context. Use the full window for complex multi-service work.

Pro tips for best results

1

Be specific

Include numbers — users, budget, RPS — so the skill can size the architecture.

2

Share constraints

Compliance needs, team size, and existing stack all improve the output.

3

Iterate

Start with a high-level design, then ask follow-ups for IaC, cost analysis, or security review.

4

Combine skills

Pair with companion skills below for end-to-end coverage.

Ready to try Content Production?

Install the skill and start getting expert-level guidance in your workflow — any agent, any IDE.

$skillfish add ~skills/content-production
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