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 job-story-mappergit 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/job-story-mapper)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/job-story-mapper"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/job-story-mapper/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/job-story-mapper"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/job-story-mapper.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 | $0.00097 | $0.02175 |
| Opus 5.5 | $0.00039 | $0.00870 |
| Sonnet 5.5 | $0.00019 | $0.00435 |
| Haiku 4.5 | $0.00010 | $0.00217 |
Grade A, and why
job-story-mapper 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Job Story Mapper
Deja de escribir características. Empieza a entender los trabajos. Esta skill traduce requisitos de producto y entrevistas de usuario en historias de trabajos precisas que mantienen al equipo enfocado en resultados — no en productos.
Fundamentos de Jobs-to-be-Done
Un "trabajo" es el progreso que un cliente está tratando de lograr en una situación dada. Las personas no compran productos — los contratan para hacer un trabajo.
Tres dimensiones de cada trabajo:
- Trabajo funcional: La tarea práctica ("ir de A a B")
- Trabajo emocional: Cómo quieren sentirse ("sentirme seguro de que tomé la decisión correcta")
- Trabajo social: Cómo quieren ser percibidos ("verme como un profesional competente para mi equipo")
Los grandes productos abordan las tres. La mayoría de roadmaps solo abordan la funcional.
Formato de Historia de Trabajo
Plantilla:
Cuando [situación/disparador], quiero [motivación/objetivo], para poder [resultado esperado].
No es una user story: Las user stories se enfocan en roles y características: "Como [rol] quiero [característica] para que [beneficio]." Las historias de trabajos se enfocan en situaciones y motivaciones: "Cuando [estoy en esta situación específica] quiero [esta capacidad] para poder [lograr este resultado]."
La situación es la parte más importante. "Cuando estoy en medio de un sprint y mi PM me pide una actualización" es un disparador mucho más rico que "Como desarrollador."
Proceso de Mapeo
Paso 1: Identificar el trabajo principal
Una oración: ¿Cuál es el trabajo principal por el que se contrata tu producto?
"Ayudar a [tipo de usuario] a [lograr resultado] cuando [contexto]."
Paso 2: Dividir en pasos de trabajo
¿Cuáles son todas las subtareas dentro del trabajo principal? (Usa un mapa de trabajos: Definir → Ubicar → Preparar → Confirmar → Ejecutar → Monitorear → Modificar → Concluir)
Paso 3: Identificar puntos de dolor por paso
¿Dónde falla el trabajo hoy? ¿Dónde usan clientes soluciones alternativas?
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 · 165 lines · 97 tokens per session scan A 594af14acd75
job-story-mapper is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 2,175 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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