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 growthenginenowoslawski/coldoutboundskills --skill playbook-creative-ideasgit clone --depth 1 https://github.com/growthenginenowoslawski/coldoutboundskillsWrote 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/growthenginenowoslawski/coldoutboundskills/playbook-creative-ideas)<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-creative-ideas"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-creative-ideas/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/growthenginenowoslawski/coldoutboundskills/playbook-creative-ideas"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-creative-ideas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00115 | $0.02100 |
| Opus 5.5 | $0.00046 | $0.00840 |
| Sonnet 5.5 | $0.00023 | $0.00420 |
| Haiku 4.5 | $0.00012 | $0.00210 |
Grade A, and why
playbook-creative-ideas 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Playbook: 3-Bullet Creative Ideas
Best practice, not law. Override when the campaign calls for it; note the practice once and proceed.
Use when the premise is "I looked at your business and had three ideas."
Not when one personalized sentence tops an otherwise fixed email (playbook-ai-specificity), or
the hook is an event.
Output: creative_idea_1 = "a production scheduler that plans injection molding runs against cleanroom capacity"
1. Slot discipline is the whole idea
The operator names what bullets 1, 2 and 3 are about. Those slots stay fixed for every lead, and the model only fills a slot with a detail true of that company. It never picks a subject, never adds a fourth, and never writes an idea the seller cannot deliver.
The measurement that settles this:
| Approach | Usable |
|---|---|
| Free-form "have three ideas about this company" | 2/5 |
| Slot-defined, operator-named subjects | 21/23 (91%) |
That is the entire playbook. Everything else is plumbing.
The operator interview, before the prompt exists
- What is bullet 1 about? Name the one thing the seller builds, sells or runs that goes in slot 1 — in the seller's own words.
- What is bullet 2 about?
- What is bullet 3 about?
- For each slot, what specific detail about the prospect has to appear?
- What must never appear? Competitors, dollar figures, headcounts, named customers, anything the seller does not actually do.
- Hand-write the examples. See the gate below.
⚠️ If the operator cannot name three slots, this is the wrong playbook for the campaign. Do not fill the gap yourself. An idea the operator did not ask for is an idea the seller cannot deliver on the call.
⛔ HARD GATE: the operator hand-writes 3 complete bullet sets for 3 real companies before any model call
AI never drafts the exemplars it is graded against.
If the model writes the examples, the examples encode the model's instincts rather than the seller's
offer, and every downstream grading round is measuring the model against itself. This is the same
contamination failure that forced a verdict to be withdrawn in playbook-pricing-page — a few-shot
block that contains the answers is not a prompt, it is an answer key.
What ships with it
2 files 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 · 164 lines · 115 tokens per session scan A 0175844e0fcb
playbook-creative-ideas is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (802 stars, last pushed 1mo ago), licensed MIT. It adds 115 tokens to every session and 2,100 once invoked, about $0.0005 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 2026-08-30.
playbook-creative-ideas compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| playbook-creative-ideasgrowthenginenowoslawski/coldoutboundskills | Skill | 802 | 1mo ago | MIT | A | 115 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |