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fibbonnaci/ai-builder-skills

Productivity workflow

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Reusable AI workflows and Claude skills for AI-native builders

概要

A collection of skills, system prompts, and templates for AI-native builders — product managers, founders, and operators who use LLMs as a daily tool for thinking, shipping, and running their work. Each file here is meant to be dropped into Claude, ChatGPT, Cursor, or any agent runtime that supports skills, system prompts, or custom instructions. They are opinionated and ready to use. - — Draft a product requirements document by combining customer insights and engineering context. Reads from synthesis outputs when available. - — The PRD structure used by draft-prd. Edit the headings, keep the discipline. - — Turn raw interview transcripts into structured findings with quote-level traceability, pattern thresholds, and surfaced contradictions. - — Criteria for selecting and citing customer quotes during synthesis. - — When (and when not) to apply Jobs-to-be-Done framing. - — The fixed output structure for interview synthesis. The structure is the discipline.

README

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AI Builder Skills

A collection of skills, system prompts, and templates for AI-native builders — product managers, founders, and operators who use LLMs as a daily tool for thinking, shipping, and running their work.

Each file here is meant to be dropped into Claude, ChatGPT, Cursor, or any agent runtime that supports skills, system prompts, or custom instructions. They are opinionated and ready to use.

What’s inside

Product work

  • PRD-skill.md — Draft a product requirements document by combining customer insights and engineering context. Reads from synthesis outputs when available.
  • PRD-template.md — The PRD structure used by draft-prd. Edit the headings, keep the discipline.
  • synthesize-customer-interview.md — Turn raw interview transcripts into structured findings with quote-level traceability, pattern thresholds, and surfaced contradictions.
  • EVIDENCE_RULES.md — Criteria for selecting and citing customer quotes during synthesis.
  • JTBD_FRAMEWORK.md — When (and when not) to apply Jobs-to-be-Done framing.
  • OUTPUT_TEMPLATE.md — The fixed output structure for interview synthesis. The structure is the discipline.

Chief of Staff agent

A personal AI advisor for navigating a new senior role — strategy, execution, people, politics — grounded in a Context KB (MCP-backed).

How to use these

  1. Skills (files with frontmatter — name: and description:) plug into Claude Code or any runtime that loads skill folders. Drop them in your skills directory.
  2. System prompts can be pasted into a custom GPT, Claude Project, or any agent’s system slot.
  3. Templates and frameworks are reference material — the skills above point to them as supporting context.

Conventions

  • Skills are opinionated. They tell the model what not to do as often as what to do.
  • Output structure is treated as the discipline. Don’t let the model reorder it.
  • Evidence is traceable. Every claim should be linkable back to a quote, ticket, or source.

Contributing

PRs welcome. Keep skills:

  • Single-purpose — one skill, one job.
  • Self-contained — declare the inputs it reads and the outputs it writes.
GitHub で README 全文を見る

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インストール

npx skillfish add fibbonnaci/ai-builder-skills
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