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iopho-product-context

iopho-product-context

Generate structured product context files for video production projects. Runs an interactive intake questionnaire (or auto-detects from existing docs), outputs a context.md that all other iopho skills read. Use when starting a new video project, onboarding a client, or when any iopho skill needs product/audience/brand information. Triggers: "product context…

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スキルの説明

GitHub

name: iopho-product-context description: > Generate structured product context files for video production projects. Runs an interactive intake questionnaire (or auto-detects from existing docs), outputs a context.md that all other iopho skills read. Use when starting a new video project, onboarding a client, or when any iopho skill needs product/audience/brand information. Triggers: "product context", "video project setup", "new project", "context file", "onboarding questionnaire", "client intake". user-invocable: true argument-hint: "[project-dir] [--quick] [--from-file README.md] [--lang en|zh|mixed]" updated: "2026-03-19"

iopho-product-context

Generate structured context.md for video production — the foundation file all other iopho skills read.

When to Use

  • Starting a new video project (product demo, launch video, explainer, VSL)
  • Onboarding a client project (like a client project)
  • Any iopho skill asks for context but none exists yet
  • Updating an existing context file with new information

Quick Start

/iopho-product-context ./exp/my-project
/iopho-product-context ./exp/my-project --quick           # 5 core questions only
/iopho-product-context ./exp/my-project --from-file README.md  # pre-fill from docs

How It Works

Mode 1: Interactive (default)

Ask the user these questions IN ORDER. Accept answers in any language (CN/EN/mixed).

Core Questions (always ask):

  1. What's the product? — Name, URL, one-sentence description
  2. Who is it for? — Primary audience + their pain point
  3. What makes it different? — Top 3 differentiators from competitors
  4. What video do you want? — Type (demo/explainer/launch/teaser), duration, platforms
  5. Any brand rules? — Colors, fonts, tone of voice, design system files

Deep-Dive Questions (ask unless --quick):

  1. Who are the competitors? — List 2-5 competitors, their strengths/weaknesses
  2. Founder visibility? — Should founders/team appear? (public / anonymous / team-only)
  3. Hero feature? — The ONE feature that must be the centerpiece of the video
  4. What to avoid? — Anything off-limits (features, messaging, visuals)
  5. Reference videos? — Any video styles they like (provide URLs → feed to iopho-searching-videos)
  6. Languages? — Which languages for VO and subtitles
  7. Call to action? — What should viewers do after watching

Mode 2: Auto-Detect (--from-file)

Before asking questions, scan the project directory for existing context:

Look for and read (if present):
├── README.md              → product name, description, features
├── package.json           → name, description, keywords
├── **/brand.ts            → colors, fonts (Remotion projects)
├── **/*DesignPrompts*     → design system (client project pattern)
├── **/questionaire.md     → existing intake (client project pattern)
├── **/context.md          → previous context file (update mode)
└── website URL            → scrape tagline, features, pricing (if provided)

Pre-fill answers from detected files, then ask user to CONFIRM or CORRECT each field. Skip questions already answered by auto-detection.

Mode 3: Update

If context.md already exists in the project directory, read it and ask:

"Found existing context.md. What needs updating?"

Only modify the fields the user mentions. Preserve everything else.

Output

Generate {project-dir}/context.md using the template at templates/context-template.md.

Output rules:

  • YAML frontmatter: machine-readable fields (name, URL, colors as hex, platforms as array)
  • Markdown body: human-readable prose (features, audience, competitors, notes)
  • All hex colors validated (6-char format)
  • All URLs as full https:// format
  • Bilingual content preserved as-is (don't translate user's words)

Validation

After generating context.md, verify:

  • Product name is not empty
  • At least 1 target audience defined
  • At least 1 video platform specified
  • At least 1 language specified
  • Brand colors are valid hex (if provided)
  • Founder visibility preference is set

If any critical field is missing, ask the user — don't guess.

Real-World Examples

[App Name] (a reader/learning app):

  • Product: AI read-later app → Explainer video, 78s, YouTube/Product Hunt
  • Brand: #007AFF primary, SF Pro font, warm/approachable tone
  • Hero feature: AI reflow + instant summary
  • Context existed in: {project}/video-strategy.md

[CLI Tool] (a developer networking tool):

  • Product: P2P agent collaboration → Launch video, 90s, YouTube/GitHub
  • Brand: #1D3557 deep ocean, #E63946 lobster red, cinematic/authoritative
  • Hero feature: ASCII globe + npx install
  • Context existed in: {project}/questionaire.md + {project}/product-codex.md
  • Founder visibility: anonymous (user requested)

Related Skills

  • /iopho-video-director — calls this skill as Phase 0 step 1
  • /iopho-searching-videos — uses reference video URLs from context
  • /vsl-storyboard-writer — reads context for audience/positioning
  • /storyboard — reads context for product understanding
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