story-ops

KO | EN

gitlite — search

#python #hacktoberfest #ai #golang #go #rust #docker #macos #windows #cli #awesome-list #vue #mcp #ios

(★ 1)

Storytelling Operating System built on Claude Code — draft, rewrite, critique, and lint narrative voice across you + your brands. Ships with a Voice Fingerprint linter, an Audience Simulator (parallel persona subagents), and a Brand Guide PDF generator. File-based, no hidden state, hybrid protagonist model.

story-ops 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# story-ops

A **storytelling operating system** on Claude Code. Inspired by and modeled on [career-ops](https://github.com/santifer/career-ops), adapted for narratives, brand guidelines, and story craft.

## What it does

- Drafts stories in your voice, structured with proven frameworks (STAR, Hero's Journey, SCQA, Pixar/BAB/Cole)
- Lints your voice with a measured **Voice Fingerprint** of your own corpus
- Runs **parallel persona critiques** (Audience Simulator) — every piece reviewed by a skeptical CFO, a busy exec, a junior IC, etc. — each one a subagent
- Renders your brand guidelines to a polished distributable **Brand Guide PDF**
- Supports a **hybrid protagonist** model: you personally + 2–3 brands, each with isolated voice/messaging/audiences
- Tracks every draft, every critique, every published piece

## Philosophy

Same as career-ops: **Claude-as-OS-kernel reading and writing Markdown + YAML**. No hidden state. Every decision, every voice rule, every audience persona is in a text file you can read, edit, and version. The AI is the interface — you say "make my brand voice punchier" and Claude edits your files.

## The 7 MVP modes

```
/story-ops                                    → discovery menu
/story-ops draft <idea>  --brand=X --structure=scqa --surface=linkedin
/story-ops rewrite <file>  --brand=X
/story-ops critique <file>  --brand=X        → Audience Simulator
/story-ops voice-check <file>  --brand=X      → Voice Fingerprint linter
/story-ops brand-guide  --brand=X             → render PDF
/story-ops tracker                            → status across all stories
/story-ops mine <transcript>  --brand=X       → extract story candidates
```

## Quickstart

```bash
# 1. Install deps (Playwright for the brand-guide PDF)
npm install
npx playwright install chromium

# 2. First run in Claude Code triggers onboarding
#    Answer 3 questions: protagonists, surfaces, voice notes.

# 3. Try it
#    /story-ops draft --brand=personal --structure=scqa "idea: why I built story-ops"
```

## Architecture

```
story-ops/
├── .claude/skills/story-ops/SKILL.md   # router
├── CLAUDE.md                           # master instructions
├── DATA_CONTRACT.md                    # user-layer vs system-layer
├── modes/                              # execution prompts
├── config/profile.yml                  # protagonists
├── brands/<brand>/                     # per-brand voice/messaging/audiences/visual/corpus
├── stories/{drafts,published}/         # your pieces
├── templates/                          # story structures, surface formats, brand-guide HTML
├── scripts/                            # Node utilities (.mjs)
├── data/                               # pipeline inbox, feedback log
├── reports/                            # critique outputs
└── output/                             # rendered PDFs
```

See `DATA_CONTRACT.md` for what's gitignored (user layer) and what's committed (system layer).

## Three headline features

### 1. Brand Guide PDF generator

Maintain `brands/<b>/{voice,messaging,audiences,visual}.*` as markdown + YAML. Run `/story-ops brand-guide --brand=X` → polished distributable PDF with palette swatches, typography specimens, do/don't examples.

### 2. Voice Fingerprint + linter

`scripts/voice-fingerprint.mjs` samples `brands/<b>/corpus/` and emits measured features: sentence-length distribution, reading level, device frequencies, n-gram signatures. `/story-ops voice-check` lints drafts against the fingerprint + hand-written rules in `voice.md`. If your corpus is empty, fingerprint runs in **seed mode** from `voice.md` alone and matures as you publish.

### 3. Audience Simulator

Every `critique` run launches N subagents in parallel — one per persona in `brands/<b>/audiences.yml`. Each persona returns a lens-specific review (what they reward, what they punish). The main agent synthesizes consensus vs divergence into a single report.

## Post-MVP roadmap

Seeded for later: Narrative Continuity Check, Repurposing Graph, Pillar Drift Detector, Hook Library, Pattern Analysis on engagement, Multi-language voice variants, Quote/Receipt manager, Publishing-cadence meter.

## Credits

The `career-ops` pattern is by [santifer](https://santifer.io). story-ops adapts the same OS-kernel approach for storytelling.

story-ops

story-ops 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

story-ops

story-ops 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README