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 mebusw/awesome-jackyshen-skills --skill jackyshen-design-workshop-outlinegit clone --depth 1 https://github.com/mebusw/awesome-jackyshen-skillsWrote 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/mebusw/awesome-jackyshen-skills/jackyshen-design-workshop-outline)<a href="https://agentmods.dev/skills/mebusw/awesome-jackyshen-skills/jackyshen-design-workshop-outline"><img src="https://agentmods.dev/badge/skills/mebusw/awesome-jackyshen-skills/jackyshen-design-workshop-outline/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/mebusw/awesome-jackyshen-skills/jackyshen-design-workshop-outline"><img src="https://agentmods.dev/badge/skills/mebusw/awesome-jackyshen-skills/jackyshen-design-workshop-outline.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 | $0.00058 | $0.01610 |
| Opus 5.5 | $0.00023 | $0.00644 |
| Sonnet 5.5 | $0.00012 | $0.00322 |
| Haiku 4.5 | $0.00006 | $0.00161 |
Grade A, and why
jackyshen-design-workshop-outline 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 2mo 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workshop Outline Generator
Generate learner-centered workshop and training outlines using MECE structure, Training from Back of Room (TfBR), and VAK learning styles.
Purpose
Design effective workshop outlines that:
- Apply MECE structure (Mutually Exclusive, Collectively Exhaustive)
- Use TfBR 4C design (Connection, Concepts, Concrete Practice, Conclusion)
- Include VAK elements (Visual-Auditory-Kinesthetic)
- Balance 70% activities / 30% content delivery
- Define measurable, action-based learning outcomes
When to Use
Trigger when users ask for:
- Workshop or training outlines
- Course structures or agendas
- Training session designs
- 培训大纲 / 工作坊设计 / 课程结构
Design Process
1. Gather Requirements
Clarify before generating:
- Topic: What is the training subject?
- Audience: Who are the learners? (level, background, pain points)
- Duration: Half-day, full-day, multi-day (default: 2 days)
- Format: In-person, virtual, hybrid
- Outcomes: What should learners be able to DO after training?
- Practical Level: Should learners bring real cases for practice?
- Reference Material: Existing course outline (if any)
2. Apply MECE Structure
Organize into non-overlapping, comprehensive modules:
[Topic] Workshop (MECE)
├── Module 1: [Category A]
│ ├── Topic 1.1
│ └── Topic 1.2
├── Module 2: [Category B]
│ ├── Topic 2.1
│ └── Topic 2.2
└── Module 3: [Category C]
├── Topic 3.1
└── Topic 3.2
3. Define Learning Outcomes
Use performance-based outcomes with action verbs (NOT "understand"):
After this module, participants will be able to [action verb] [specific skill]
in [context] to [result].
Action Verbs: Apply, demonstrate, practice, create, design, analyze, evaluate, deliver
Example: "After this module, participants will be able to deliver constructive feedback to direct reports using the SBI model to improve performance without defensiveness."
4. Design Using TfBR 4Cs
| 4C Phase | Time | Purpose |
|---|---|---|
| Connection | 5-10% | Welcome, outcomes, agenda, icebreaker |
| Concepts | 20-30% | Just-in-time, just-enough content |
| Concrete Practice | 50-70% | Skill drills, role-plays, applications |
| Conclusion | 5-10% | Commitments, action planning, resources |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 207 lines · 58 tokens per session scan A 32073dfc75f2
jackyshen-design-workshop-outline is a skill published in the GitHub repository mebusw/awesome-jackyshen-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 1,610 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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