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
Context Budget Optimizer
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install flynndavid/context-budget-optimizer打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Framework: The Token Efficiency Matrix Worth $200/hr consultant time. Yours for $19.
Audits your agent's token usage across every context layer, identifies where you're burning budget on bloat, and produces a 3-week cost reduction roadmap with concrete implementation steps.
Problem it solves: Power users hitting $200-500/month in AI costs often have 60-70% waste baked into their context. Most of it is invisible: stale files in system prompts, redundant skill loading, oversized memory files, wrong model choices. The Token Efficiency Matrix makes the waste visible and rankable.
A 4-quadrant audit tool that scores every context element by cost (token weight) and ROI (value delivered per token). High cost + low ROI = cut first.
HIGH ROI
│
KEEP │ OPTIMIZE
(High ROI, │ (High ROI,
Low Cost) │ High Cost)
│
LOW COST ──────────────┼────────────────── HIGH COST
│
AUDIT │ CUT
(Low ROI, │ (Low ROI,
Low Cost) │ High Cost)
│
LOW ROI
Action by quadrant:
Before scoring, map everything that's in your agent's context.
Layer A: System Prompt / SOUL.md / Identity files
Layer B: Active skills (loaded per session)
Layer C: Memory files (MEMORY.md, daily notes)
Layer D: Project files injected at startup
Layer E: Tool outputs / MCP responses in context
Layer F: Chat history (conver...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Context Budget Optimizer
**Framework: The Token Efficiency Matrix**
*Worth $200/hr consultant time. Yours for $19.*
---
## What This Skill Does
Audits your agent's token usage across every context layer, identifies where you're burning budget on bloat, and produces a 3-week cost reduction roadmap with concrete implementation steps.
**Problem it solves:** Power users hitting $200-500/month in AI costs often have 60-70% waste baked into their context. Most of it is invisible: stale files in system prompts, redundant skill loading, oversized memory files, wrong model choices. The Token Efficiency Matrix makes the waste visible and rankable.
---
## The Token Efficiency Matrix
A 4-quadrant audit tool that scores every context element by **cost** (token weight) and **ROI** (value delivered per token). High cost + low ROI = cut first.
### The Matrix
```
HIGH ROI
│
KEEP │ OPTIMIZE
(High ROI, │ (High ROI,
Low Cost) │ High Cost)
│
LOW COST ──────────────┼────────────────── HIGH COST
│
AUDIT │ CUT
(Low ROI, │ (Low ROI,
Low Cost) │ High Cost)
│
LOW ROI
```
**Action by quadrant:**
- **KEEP:** Don't touch. It's working efficiently.
- **OPTIMIZE:** Compress or lazy-load. Value is there, just expensive.
- **AUDIT:** Review quarterly. Low cost so not urgent, but ROI should be questioned.
- **CUT:** Kill immediately. You're paying for nothing.
---
## Phase 1: Context Inventory
**Before scoring, map everything that's in your agent's context.**
### Context Layers to Audit
```
Layer A: System Prompt / SOUL.md / Identity files
Layer B: Active skills (loaded per session)
Layer C: Memory files (MEMORY.md, daily notes)
Layer D: Project files injected at startup
Layer E: Tool outputs / MCP responses in context
Layer F: Chat history (conver...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.