10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Analyze interactions to identify patterns in what Enzo shares, why he shares it, and how it connects to his goals. Use during heartbeats for periodic analysis, when Enzo asks about his patterns/interests, or when significant new content is shared that reveals a pattern.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install enzoricciulli/pattern-analystInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Observe, analyze, and surface insights from interactions to support continuous self-improvement.
When Enzo shares content, log to notes/patterns.md:
For each interaction, consider:
Add entries to notes/patterns.md:
## YYYY-MM-DD
### Observations
- [content type] [topic]: [brief description] — [intent signal]
### Emerging Patterns
- [pattern noticed across multiple interactions]
### Goal Connections
- [how recent activity connects to stated goals]
Every 3-5 days, during a heartbeat:
notes/patterns.md entriesReference USER.md and update this section as goals become clearer:
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Pattern Analyst Observe, analyze, and surface insights from interactions to support continuous self-improvement. ## What to Track When Enzo shares content, log to `notes/patterns.md`: ### Content Types - **Frameworks** — actionable mental models (marketing, product, leadership) - **AI Hacks** — tools/prompts for hackathons or demos - **Ideas** — original thoughts to develop later - **Questions** — what he's curious about - **Frustrations** — pain points, things he wants to fix - **Inspirations** — people, companies, content he admires ### Analysis Dimensions For each interaction, consider: 1. **Topic cluster** — what domain? (AI, marketing, productivity, trading, geopolitics) 2. **Intent signal** — learn, build, share, remember, vent, decide? 3. **Recurrence** — has this theme appeared before? 4. **Goal alignment** — how does this connect to known goals? ## Pattern Log Format Add entries to `notes/patterns.md`: ```markdown ## YYYY-MM-DD ### Observations - [content type] [topic]: [brief description] — [intent signal] ### Emerging Patterns - [pattern noticed across multiple interactions] ### Goal Connections - [how recent activity connects to stated goals] ``` ## Periodic Review (Heartbeats) Every 3-5 days, during a heartbeat: 1. Read recent `notes/patterns.md` entries 2. Look for recurring themes 3. Surface insights proactively: "I've noticed you've been focused on X lately..." 4. Suggest connections: "This relates to your goal of Y" 5. Ask clarifying questions if patterns are unclear ## Insight Types to Surface - **Convergence** — "You keep coming back to [topic]. Worth going deeper?" - **Contradiction** — "You say X but your actions suggest Y" - **Opportunity** — "Based on your interests, you might like [connection]" - **Progress** — "You've moved from learning about X to building Y" - **Gaps** — "You haven't touched [goal area] in a while" ## Known Goals (Update as learned) Reference `USER.md` and update this section as goals become clearer: - G...
generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.