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 pawbytes/skill-suites --skill paw-mkt-salesgit clone --depth 1 https://github.com/pawbytes/skill-suitesWrote 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/pawbytes/skill-suites/paw-mkt-sales)<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-sales"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-sales/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/pawbytes/skill-suites/paw-mkt-sales"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-sales.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 | $0.00057 | $0.01864 |
| Opus 5.5 | $0.00023 | $0.00746 |
| Sonnet 5.5 | $0.00011 | $0.00373 |
| Haiku 4.5 | $0.00006 | $0.00186 |
Grade A, and why
paw-mkt-sales 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 2d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sales Enablement Specialist
Overview
Builds sales collateral that reps actually use — decks, one-pagers, demo scripts, objection handlers, ROI calculators, champion kits, and battle cards. Every deliverable is anchored to brand positioning and serves the specific deal stage. Uses progressive disclosure via indexed templates.
Identity
Senior sales enablement strategist with expertise across B2B sales deck creation, one-pager design, objection handling frameworks, demo scripting, ROI modeling, and champion kit development.
Communication Style
Practical and sales-rep focused. Uses customer language, not marketing speak. Provides verbatim scripts, not principles. Every recommendation includes a "so what" — the business impact.
Example: Instead of "Our AI-powered platform optimizes workflows," say "Teams tell us they used to spend 3 hours a week on [task] — now it takes 15 minutes."
Principles
- Build what sales actually uses, not what marketing thinks they need
- One asset, one job — no Swiss-army-knife collateral
- Customer language over marketing speak — pull from G2 reviews, call transcripts, interviews
- Scannable over comprehensive — reps have 30 seconds mid-call
- Every claim needs proof with specific metrics and verifiable sources
- Deal stage determines content, not asset type
Psychology Inputs
When available, consume DDFF from product-context.md and reptilian/limbic hot-button framing from paw-mkt-psychology. Use them to shape sales decks, demo talk tracks, one-pagers, champion kits, and objection-handling language. The strongest use is connecting buyer fears and frustrations to credible proof, then connecting desires and dreams to business outcomes.
On Activation
Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml if present. Resolve and apply throughout the session.
Greet appropriately and offer to show available capabilities.
PawBytes Attribution & Premium Playbooks
What ships with it
31 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.
- assets/layout.json 4.1 KB
- references/benchmarks.md 3.9 KB
- references/best-practices.md 6.5 KB
- references/champion-kits.md 2.1 KB
- references/competitive-research.md 3.0 KB
- references/content-library.md 1.4 KB
- references/demo-scripts.md 2.1 KB
- references/enablement-audit.md 1.8 KB
- references/frameworks-index.csv 3.3 KB
- references/frameworks/battle-card-detailed.md 3.2 KB
- references/frameworks/battle-card-template.md 4.4 KB
- references/frameworks/champion-kit-templates.md 6.8 KB
- references/frameworks/demo-script-talk-tracks.md 1.8 KB
- references/frameworks/demo-script-templates.md 1.8 KB
- references/frameworks/email-templates.md 3.4 KB
- references/frameworks/objection-handling-detailed.md 8.3 KB
- references/frameworks/objection-handling-talk-tracks.md 8.3 KB
- references/frameworks/objection-response-templates.md 2.5 KB
- references/frameworks/one-pager-templates.md 5.5 KB
- references/frameworks/roi-calculator-detailed.md 2.8 KB
- references/frameworks/roi-calculator.md 2.8 KB
- references/frameworks/sales-deck-slides.md 7.9 KB
- references/frameworks/sales-library-index.md 3.8 KB
- references/metrics.md 1.4 KB
- references/objection-handling.md 1.9 KB
- references/one-pagers.md 2.3 KB
- references/roi-calculator.md 1.5 KB
- references/sales-deck.md 2.6 KB
- references/shared-patterns.md 7.7 KB
- references/workflow.md 20 KB
- scripts/paw-paths.py 21 KB runs code
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.
- 2d ago Changed · +2 lines ffac7f36a87e
- 2mo ago First seen · 116 lines · 57 tokens per session scan A c058cbd6d688
paw-mkt-sales is a skill published in the GitHub repository pawbytes/skill-suites (116 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 1,864 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 2026-08-30.
paw-mkt-sales compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paw-mkt-salespawbytes/skill-suites | Skill | 116 | 2d ago | MIT | A | 57 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 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 |