sunnypatneedi

Create a content calendar for the month

Master storytelling frameworks, video scripts (15s/30s/60s), social media captions, segment-specific messaging, and persuasive CTAs. Turn product features into emotional stories that convert across different audience segments.

Create a compelling job description

Marketing multi-agent orchestration system for complex, parallelizable campaigns. Coordinates specialized AI agents for: (1) Research + synthesis + content creation pipelines, (2) Platform-specific content generation at scale (Reddit, LinkedIn, Twitter, Email), (3) Lead generation and outbound campaigns, (4) Human-in-the-loop review before any external execution, (5) Automated posting with natural timing patterns. Triggers: "build me a marketing team", "orchestrate agents", "outbound campaign", "multi-platform content", "lead generation system", "social media blitz", or any request implying coordinated marketing specialist work.

Define and align organization around a single North Star Metric (NSM) that captures product value, drives growth, and focuses team efforts. Framework for choosing NSM by product type (social, marketplace, SaaS, content) with input metrics breakdown.

Set up, optimize, and scale paid social campaigns on Meta (Facebook/Instagram), Google Ads, and TikTok. Master test budgets, creative testing, audience targeting, funnel metrics, and budget scaling strategies for maximum ROAS.

Analyze and recommend pricing strategy

Measure and diagnose product-market fit using retention cohorts, user surveys, engagement metrics, and qualitative signals. Systematic framework for B2C, B2B SaaS, and marketplace products to understand if you've achieved PMF.

Roadmap triage across the 4N1D framework (NOW/NEXT/NOT-YET/NEVER/DONE in docs/roadmap/). Scans session for completed work, killed ideas, new discoveries, fired triggers, and stale items. Recommends additions, promotions, demotions, and archiving across all five files. Checks anti-patterns (NOW >4, no [learn], stale triggers, zombie NOT-YET). Use at session end, after shipping, or on-demand. Triggers on "/4n1d", "update roadmap", "roadmap triage", "what goes in NOW", "promote to NEXT", "session wrap-up", "what did we ship", or any request to review docs/roadmap/ files.

Audit, improve, and maintain CLAUDE.md (project instructions for AI agents). Detects stale rules, contradictions, missing pitfalls, outdated workspace facts, bloat, and broken file references. Use whenever the user mentions CLAUDE.md, agent instructions, project context, or workspace rules — including "audit my CLAUDE.md", "clean up agent instructions", "add a pitfall", "update project context", "my CLAUDE.md is outdated", "trim CLAUDE.md", or after major codebase changes. Even if the user doesn't name CLAUDE.md explicitly — requests like "why do agents keep getting confused" or "something is wrong with my project setup" may indicate CLAUDE.md needs attention.

Meta-skill that maps cognitive mode-switch words to appropriate thinking behaviors and skills. **AUTO-INVOKE when user uses these trigger patterns:** - Depth: "rigorous", "first-principles", "mechanistic", "axiomatic", "falsifiable", "steelman", "non-trivial", "exhaustive", "load-bearing", "dispositive", "ultra think hard" - Reframe: "reimagine", "orthogonal", "contrarian", "subversive", "invert", "counterfactual", "zero-based", "provocative", "transmute", "reframe" - Precision: "probabilities", "bounded", "monotonic", "asymptotic", "invariant", "order of magnitude", "sensitivity analysis", "convex", "distribution", "marginal", "dimensionality" - Tradeoff: "sacrifice", "irreversible", "binding constraint", "pareto", "second-order", "opportunity cost", "regret minimization", "non-negotiable", "asymmetric" - Quality: "elegant", "idiomatic", "canonical", "production-grade", "battle-tested", "minimalist", "composable", "tasteful", "crisp" - Systems: "emergent", "cascading", "equilibrium", "phase transition", "fee

Retroactively analyze exported sessions to reveal orchestration that wasn't captured. Use --reconstruct for old sessions where you forgot --showcase. Infers skill logic, agent internals, and decision rationale from transcript patterns with 60-80% accuracy.

Capture full orchestration details (skills, agents, decisions, compound learning) in your session transcript for YC or investor demos. Use --showcase flag at session start. Works with Claude's built-in /export command.

Analyze recent prompt patterns and suggest optimizations. Use when the user wants to improve their prompting patterns, reduce token costs, or see what the RLM flywheel has learned about their project.

Score a prompt for context engineering quality. Use when the user asks to score, analyze, or optimize a prompt, or when reviewing prompt quality before sending to an LLM.

Set up ContextStellar cloud mode for RLM learning and dashboards. Use when the user wants to configure an API key, connect their project, or upgrade from local-only scoring.

Show ContextStellar scoring statistics, RLM learning progress, and grade distribution for the current project. Use when the user asks about their scoring stats, prompt quality trends, or RLM weight learning.

Score an exported AI session file (.md, .txt, .jsonl) for orchestration quality

Score the current AI coding session for orchestration quality across 5 metrics

Score AI orchestration sessions — extract signals, compute a 0-100 score across skill diversity, decision depth, error recovery, compound learning, and orchestration mastery. Works fully offline, no API key required.