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 content-repurposergit 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/content-repurposer)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/content-repurposer"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/content-repurposer/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/content-repurposer"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/content-repurposer.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 | $0.00114 | $0.01574 |
| Opus 5.5 | $0.00046 | $0.00630 |
| Sonnet 5.5 | $0.00023 | $0.00315 |
| Haiku 4.5 | $0.00011 | $0.00157 |
Grade A, and why
content-repurposer 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill de Reutilización de Contenido
Los creadores no tienen un problema de contenido — tienen un problema de distribución. Una buena idea debería convertirse en una semana de posts. Este skill atomiza una única fuente (un blog, transcripción de vídeo, newsletter o notas) en borradores nativos de plataforma — cada uno reescrito para cómo la gente lee en esa plataforma, nunca solo truncado.
Trabajo desde un brief
Dada una fuente (o un tema bruto), produce el pack completo de todas formas — extrae la idea central y remodélala por plataforma. Si la fuente es superficial, extrae la idea más fuerte y construye alrededor de ella. Marca cualquier estadística/ejemplo inventado (asumido — reemplaza). Nunca saques el mismo texto cinco veces con diferentes saltos de línea.
Entradas Requeridas
Pregunta por (si no ya están proporcionadas):
- La fuente — pega el blog/transcripción/newsletter, una URL, o la idea central
- Plataformas deseadas (predeterminado: las cinco siguientes)
- Tono (o extrae de un [[creator-brand-kit]] si existe) y el CTA / objetivo (suscribirse, seguir, comprar, responder)
Formato de Salida
Comienza con La idea central en una frase (todo lo demás se construye sobre ella). Luego, por plataforma:
🧵 Hilo de X/Twitter
Un tweet hook que detenga el scroll, luego 5–9 tweets cada uno llevando un punto, un tweet final de CTA. Ajustado, con saltos de línea, sin relleno.
💼 Post de LinkedIn
Una línea hook + cuerpo de párrafo corto (espacios en blanco abundantes), un aprendizaje concreto, un CTA suave / pregunta para generar comentarios. Sin spam de hashtags (3–5 máximo).
📧 Sección de newsletter
Una opción de línea de asunto, una previsualización de una línea, y una sección de 150–250 palabras con un aprendizaje claro y enlace de salida.
🖼️ Carrusel de Instagram / LinkedIn (diapositiva por diapositiva)
Diapositiva 1 = el hook; diapositivas 2–6 = un punto cada una (≤12 palabras por diapositiva + una frase de cuerpo); diapositiva final = CTA. Proporciona el texto en pantalla y el caption.
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 · 83 lines · 114 tokens per session scan A a0b4649ea1bc
content-repurposer is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 114 tokens to every session and 1,574 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 2026-10-12.
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