PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.
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 mohitagw15856/pm-claude-skills --skill renewal-playbookgit clone --depth 1 https://github.com/mohitagw15856/pm-claude-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/mohitagw15856/pm-claude-skills/renewal-playbook)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/renewal-playbook"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/renewal-playbook/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/mohitagw15856/pm-claude-skills/renewal-playbook"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/renewal-playbook.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 | $0.00088 | $0.02837 |
| Opus 5.5 | $0.00035 | $0.01135 |
| Sonnet 5.5 | $0.00018 | $0.00567 |
| Haiku 4.5 | $0.00009 | $0.00284 |
Grade A, and why
renewal-playbook 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill de Playbook de Renovación
Este skill produce un playbook de renovación completo para una cuenta de cliente específica, cubriendo evaluación de salud, estrategia comercial, preparación de negociación, mapeo de oportunidades de expansión y una cronología paso a paso. El resultado está listo para que el CSM o el equipo de cuenta lo ejecute entre 90 y 180 días antes de la renovación.
Inputs Requeridos
Pregunta al usuario por estos datos si no están disponibles:
- Nombre de la cuenta
- Fecha de renovación
- ARR actual y ARR de renovación propuesto (si es diferente)
- Salud de la cuenta — estado RAG y razones principales (o describe la situación de la cuenta)
- Stakeholders clave — comprador económico, champion y cualquier detractor
- Factores de riesgo de renovación — presión presupuestaria, adopción baja, amenaza competitiva, salida del champion, etc.
- Oportunidad de expansión — ¿hay potencial de upsell o cross-sell?
- Términos del contrato — plan actual, duración y cualquier término que esté en renegociación
Estructura de Salida
Playbook de Renovación: [Nombre de la Cuenta]
Fecha de renovación: [Fecha] ARR actual: [£/$/€ X] ARR objetivo de renovación: [£/$/€ X — sin cambios / +X% expansión / riesgo de contracción] Estado de salud: [Verde / Ámbar / Rojo] CSM: [Nombre] Account executive: [Nombre] Días para renovación: [X días]
1. Snapshot de Salud de la Cuenta
| Dimensión | Puntuación (1–5) | Evidencia |
|---|---|---|
| Adopción del producto | [X/5] | [p. ej. 3 de 5 asientos comprados activos; feature core usado semanalmente] |
| Resultados de negocio | [X/5] | [p. ej. Cliente reporta X% de mejora en [métrica]; no se realizó revisión formal de ROI] |
| Profundidad de relación | [X/5] | [p. ej. Champion fuerte en [nombre/rol]; patrocinio ejecutivo limitado] |
| Soporte y satisfacción | [X/5] | [p. ej. 2 tickets P2 abiertos; último NPS 7; sin escalaciones en 6 meses] |
| Engagement comercial | [X/5] | [p. ej. Factura pagada a tiempo; sin presión de descuento planteada aún] |
| Salud general | [X/5 — ponderada] | [Verde / Ámbar / Rojo] |
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 First seen · 200 lines · 88 tokens per session scan A 70e7c4698419
renewal-playbook is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 88 tokens to every session and 2,837 once invoked, about $0.0004 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 2026-10-12.
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