playbook-ai-specificity

playbook-ai-specificity is a skill for Claude Code, Codex from growthenginenowoslawski/coldoutboundskills. It costs 91 tokens per session (4,066 once invoked), scanned A, original, MIT.

A workflow for writing one sentence that connects a general offer to the specific work a company does. It uses the prospect's own business terms and fills the end of a sentence such as “I think we can help you …”.

In plain words
What is it for?
Use it to personalize the offer in a cold email, such as describing the exact cost, customers, process, or result relevant to the prospect's business.
Why use it?
It removes generic offer language that could have been sent to anyone. The sentence explains why the proposed help fits that particular company without making the introduction about a person or event.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to personalize the offer in a cold email, such as describing the exact cost, customers, process, or result relevant to the prospect's business.

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Install with agentmods
npx agentmods add skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity
Install

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.

Any agent
npx skills add growthenginenowoslawski/coldoutboundskills --skill playbook-ai-specificity
Clone the repo
git clone --depth 1 https://github.com/growthenginenowoslawski/coldoutboundskills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for playbook-ai-specificity

README.md
[![agentmods](https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity/github.svg)](https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity)
Your own site
<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity/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.

agentmods 80×15 button for playbook-ai-specificity

Your own site · 80×15
<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,066 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.04066
Opus 5 $0.00046 $0.02033
Sonnet 5 $0.00018 $0.00813
Haiku 4.5 $0.00009 $0.00407

Measured 12d ago against content hash 5d03a4421b30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

playbook-ai-specificity 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 12d 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.

skills/playbooks/playbook-ai-specificity/SKILL.md · 296 lines

How it starts

The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Playbook: AI Specificity Line

All rules here are best practice, not law. Override any of them when the campaign calls for it; note the best practice once and move on.

Use when: the offer is good but the email reads like it was sent to 5,000 people, and you need one sentence that names what the client would actually do for this company.

Do not use when: you want a first line about a person or an event. Those playbooks personalize the opener. This one personalizes the offer — which is a different and usually more durable move.

One-line output: specificity_line = "know the landed cost of every pool float before you price it"

1. Trigger and scope

This produces the tail of one fixed sentence:

I think we can help you {{specificity_line}}.

The whole job is one move: take the client's generic capability and say it back in the prospect's own nouns.

  • A bookkeeping firm does not write "we help with margin reporting". It writes "know what each pool noodle costs to make before you price the next run".
  • A list-building service does not write "we build B2B lists". It writes "build a list of every pool contractor in Texas with the owner's cell number".

Same offer, different words, and the prospect reads it as written for them.

Two things this is not. It is not a first line — it never mentions the person, their job, or anything they did. And it is not a claim about the company's problems — it never says they are struggling or missing something. It says what the work would be.

⚠️ The frame lives in the campaign copy, not inside the variable. Real campaigns have put the frame inside the merge field, and then every lead carries the same eight opening words inside a custom field — which is both a repetition problem and a spintax problem.

2. Output contract

Inputs required per row

Field Type Required?
domain (bare, lowercase) string yes
company_name string yes
company_description string yes — this is the whole input
primary_offerings, revenue_streams string no, they sharpen the anchor
client_offer_block text block, per client, not per row yes, locked once per client

Read the full file on GitHub · 296 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 296 lines · 91 tokens per session scan A 5d03a4421b30

Subscribe to this mod's changes

playbook-ai-specificity is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (702 stars, last pushed 25d ago), licensed MIT. It adds 91 tokens to every session and 4,066 once invoked, about $0.0005 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 2026-08-30.

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