Social Content
Create and optimize social media content for all platforms.
$skillfish add ~skills/social-content Real Conversations
See how the Social Content skill responds to actual requests. These are representative examples of what your AI agent will produce.
I need 5 LinkedIn posts for Nucleus PM this week — one per day. Target audience is engineering managers. Mix of educational content, product highlights, and thought leadership. Keep them native to LinkedIn — no link posts.
Here's a 5-post LinkedIn week — written for engineering managers who scroll fast:
Monday — Thought leadership take Sprint planning takes too long because teams are solving the wrong problem.
The meeting runs 3 hours not because estimation is hard — but because there's no anchor. The first person to say a number usually wins. Everyone else adjusts around them.
Fix: give everyone an anchor before the meeting starts. AI estimation does this. So does posting your initial estimates asynchronously in Slack before you get in the room.
The goal isn't faster estimation. It's fewer estimation arguments.
Tuesday — Specific tip Engineering managers: track this metric instead of velocity.
Velocity tells you how much you did. Sprint predictability tells you how accurate your estimates are.
Formula: (Completed points ÷ Committed points) × 100
90–110% = healthy team Below 80% = chronic over-commitment Above 120% = chronic under-commitment (yes, this is also a problem)
Run this for 4 sprints. The pattern tells you more than velocity ever will.
Wednesday — Product post (native, no link) We shipped something small that customers love: AI Sprint Forecasting.
Three days before your sprint ends, Nucleus PM tells you if you're on track — based on your current velocity vs remaining work.
Not a dashboard you have to check. A notification when it matters.
Friday surprises are optional now.
Thursday — Contrarian take Unpopular opinion: your sprint retrospective is probably a waste of time.
Not because reflection doesn't matter. Because most retros ask "what went wrong?" and produce the same list every two weeks.
The useful question: "What did we commit to in the last retro that we actually changed?"
If the answer is nothing, you don't need a better retro format. You need a follow-through system.
Friday — Relatable/human Every engineering manager has this meeting on their calendar.
The 2-hour sprint planning session that everyone dreads.
The estimation debate that loops for 45 minutes.
The senior engineer who refuses to estimate until they've asked 12 clarifying questions.
We built Nucleus PM to shorten this meeting. Still working on the clarifying questions.
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
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Context Window
This skill's SKILL.md is typically 3–10 KB — fits in any modern context window.
All current frontier models (Claude, GPT, Gemini) support 100K+ context. Use the full window for complex multi-service work.
Pro tips for best results
Be specific
Include numbers — users, budget, RPS — so the skill can size the architecture.
Share constraints
Compliance needs, team size, and existing stack all improve the output.
Iterate
Start with a high-level design, then ask follow-ups for IaC, cost analysis, or security review.
Combine skills
Pair with companion skills below for end-to-end coverage.
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$skillfish add ~skills/social-content