Product Marketing Context V2

Product Marketing Context

Overview

This public intake copy packages plugins/antigravity-awesome-skills/skills/product-marketing-context from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Product Marketing Context You help users create and maintain a product marketing context document. This captures foundational positioning and messaging information that other marketing skills reference, so users don't repeat themselves.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Sections to Capture, Product Overview, Target Audience, Personas, Competitive Landscape, Differentiation.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Use when creating a reusable product, audience, and positioning context file.
• Use at the start of a marketing project before more specialized marketing skills.
• Use when the user wants to avoid re-explaining ICP, messaging, and product basics.
• Use when the request clearly matches the imported source intent: Create or update a reusable product marketing context document with positioning, audience, ICP, use cases, and messaging. Use at the start of a project to avoid repeating core marketing context across tasks.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Read it and summarize what's captured
2. Ask which sections they want to update
3. Only gather info for those sections
4. Auto-draft from codebase (recommended): You'll study the repo—README, landing pages, marketing copy, package.json, etc.—and draft a V1 of the context document. The user then reviews, corrects, and fills gaps. This is faster than starting from scratch.
5. Start from scratch: Walk through each section conversationally, gathering info one section at a time.
6. Read the codebase: README, landing pages, marketing copy, about pages, meta descriptions, package.json, any existing docs
7. Draft all sections based on what you find

Imported Workflow Notes

Imported: Workflow

Step 1: Check for Existing Context

First, check if .agents/product-marketing-context.md already exists. Also check .claude/product-marketing-context.md for older setups — if found there but not in .agents/, offer to move it.

If it exists:

• Read it and summarize what's captured
• Ask which sections they want to update
• Only gather info for those sections

If it doesn't exist, offer two options:

1. Auto-draft from codebase (recommended): You'll study the repo—README, landing pages, marketing copy, package.json, etc.—and draft a V1 of the context document. The user then reviews, corrects, and fills gaps. This is faster than starting from scratch.

2. Start from scratch: Walk through each section conversationally, gathering info one section at a time.

Most users prefer option 1. After presenting the draft, ask: "What needs correcting? What's missing?"

Step 2: Gather Information

If auto-drafting:

1. Read the codebase: README, landing pages, marketing copy, about pages, meta descriptions, package.json, any existing docs
2. Draft all sections based on what you find
3. Present the draft and ask what needs correcting or is missing
4. Iterate until the user is satisfied

If starting from scratch: Walk through each section below conversationally, one at a time. Don't dump all questions at once.

For each section:

1. Briefly explain what you're capturing
2. Ask relevant questions
3. Confirm accuracy
4. Move to the next

Push for verbatim customer language — exact phrases are more valuable than polished descriptions because they reflect how customers actually think and speak, which makes copy more resonant.

Imported: Step 3: Create the Document

After gathering information, create .agents/product-marketing-context.md with this structure:

# Product Marketing Context

*Last updated: [date]*

#### Imported: Step 4: Confirm and Save

- Show the completed document
- Ask if anything needs adjustment
- Save to `.agents/product-marketing-context.md`
- Tell them: "Other marketing skills will now use this context automatically. Run `/product-marketing-context` anytime to update it."

---

#### Imported: Sections to Capture

### 1. Product Overview
- One-line description
- What it does (2-3 sentences)
- Product category (what "shelf" you sit on—how customers search for you)
- Product type (SaaS, marketplace, e-commerce, service, etc.)
- Business model and pricing

### 2. Target Audience
- Target company type (industry, size, stage)
- Target decision-makers (roles, departments)
- Primary use case (the main problem you solve)
- Jobs to be done (2-3 things customers "hire" you for)
- Specific use cases or scenarios

### 3. Personas (B2B only)
If multiple stakeholders are involved in buying, capture for each:
- User, Champion, Decision Maker, Financial Buyer, Technical Influencer
- What each cares about, their challenge, and the value you promise them

### 4. Problems & Pain Points
- Core challenge customers face before finding you
- Why current solutions fall short
- What it costs them (time, money, opportunities)
- Emotional tension (stress, fear, doubt)

### 5. Competitive Landscape
- **Direct competitors**: Same solution, same problem (e.g., Calendly vs SavvyCal)
- **Secondary competitors**: Different solution, same problem (e.g., Calendly vs Superhuman scheduling)
- **Indirect competitors**: Conflicting approach (e.g., Calendly vs personal assistant)
- How each falls short for customers

### 6. Differentiation
- Key differentiators (capabilities alternatives lack)
- How you solve it differently
- Why that's better (benefits)
- Why customers choose you over alternatives

### 7. Objections & Anti-Personas
- Top 3 objections heard in sales and how to address them
- Who is NOT a good fit (anti-persona)

### 8. Switching Dynamics
The JTBD Four Forces:
- **Push**: What frustrations drive them away from current solution
- **Pull**: What attracts them to you
- **Habit**: What keeps them stuck with current approach
- **Anxiety**: What worries them about switching

### 9. Customer Language
- How customers describe the problem (verbatim)
- How they describe your solution (verbatim)
- Words/phrases to use
- Words/phrases to avoid
- Glossary of product-specific terms

### 10. Brand Voice
- Tone (professional, casual, playful, etc.)
- Communication style (direct, conversational, technical)
- Brand personality (3-5 adjectives)

### 11. Proof Points
- Key metrics or results to cite
- Notable customers/logos
- Testimonial snippets
- Main value themes and supporting evidence

### 12. Goals
- Primary business goal
- Key conversion action (what you want people to do)
- Current metrics (if known)

---

## Examples

### Example 1: Ask for the upstream workflow directly

```text
Use @product-marketing-context-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @product-marketing-context-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @product-marketing-context-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @product-marketing-context-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills/skills/product-marketing-context, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Imported Troubleshooting Notes

Imported: Problems & Pain Points

Core problem: Why alternatives fall short:

What it costs them: Emotional tension:

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

• evals.json

Imported Reference Notes

Imported: Product Overview

One-liner: What it does: Product category: Product type: Business model:

Imported: Target Audience

Target companies: Decision-makers: Primary use case: Jobs to be done:

Use cases:

Imported: Personas

Imported: Competitive Landscape

Direct: [Competitor] — falls short because... Secondary: [Approach] — falls short because... Indirect: [Alternative] — falls short because...

Imported: Differentiation

Key differentiators:

How we do it differently: Why that's better: Why customers choose us:

Imported: Objections

Anti-persona:

Imported: Switching Dynamics

Push: Pull: Habit: Anxiety:

Imported: Customer Language

How they describe the problem:

• "[verbatim]" How they describe us:
• "[verbatim]" Words to use: Words to avoid: Glossary:

  Term	Meaning

Imported: Brand Voice

Tone: Style: Personality:

Imported: Proof Points

Metrics: Customers: Testimonials:

"[quote]" — [who] Value themes:

Theme	Proof

Imported: Goals

Business goal: Conversion action: Current metrics:

---

#### Imported: Tips

- **Be specific**: Ask "What's the #1 frustration that brings them to you?" not "What problem do they solve?"
- **Capture exact words**: Customer language beats polished descriptions
- **Ask for examples**: "Can you give me an example?" unlocks better answers
- **Validate as you go**: Summarize each section and confirm before moving on
- **Skip what doesn't apply**: Not every product needs all sections (e.g., Personas for B2C)

#### Imported: Limitations

- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.