Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add onfire7777/universal-ai-skills-library --skill big-picture-thinking-enginegit clone --depth 1 https://github.com/onfire7777/universal-ai-skills-libraryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/big-picture-thinking-engine)<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/big-picture-thinking-engine"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/big-picture-thinking-engine/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/big-picture-thinking-engine"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/big-picture-thinking-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00111 | $0.02460 |
| Opus 5 | $0.00056 | $0.01230 |
| Sonnet 5 | $0.00022 | $0.00492 |
| Haiku 4.5 | $0.00011 | $0.00246 |
Grade A, and why
big-picture-thinking-engine scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Big Picture Thinking Engine
Purpose
Most thinking is trapped in the immediate — the current task, the current sprint, the current problem. This skill systematically lifts your perspective to see the larger patterns, longer timelines, and deeper structures that determine whether today's work actually matters.
"We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run." — Amara's Law
The Five Lenses of Big Picture Thinking
Every situation can be viewed through five lenses, each revealing different aspects of the bigger picture. The discipline is to use ALL five before making significant decisions.
Lens 1: Temporal Zoom (Time Scale)
View the current situation at multiple time horizons simultaneously.
The Temporal Stack:
| Horizon | Question | What It Reveals |
|---|---|---|
| Now (this task) | What am I doing right now? | Immediate actions and their quality |
| This Week | How does this task fit into this week's goals? | Short-term coherence |
| This Quarter | How does this week's work advance quarterly objectives? | Medium-term alignment |
| This Year | How does this quarter's work advance annual strategy? | Strategic alignment |
| 3 Years | Where should we be in 3 years? Does this year's work get us there? | Vision alignment |
| 10 Years | What will the landscape look like? Are we building for that future? | Long-term positioning |
| Legacy | What will this work mean in 20+ years? What lasting impact does it have? | Purpose and meaning |
Protocol: For any significant decision, explicitly trace the implications through at least 4 of these horizons. If a decision looks good at the "now" level but bad at the "3 year" level, that's a critical signal.
Temporal Reasoning Rules:
First, compound effects dominate. Small advantages compound over time. A 1% daily improvement yields 37x improvement over a year. Prioritize decisions with positive compounding effects.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 164 lines · 111 tokens per session scan A c8c323d52c91
big-picture-thinking-engine is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed yesterday), licensed MIT. It adds 111 tokens to every session and 2,460 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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