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Four Core Documents

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indranilbanerjee
four-core-documents

Produce the Part 3 Four Core Documents: business, segmentation, positioning, DMFlow. "produce the four core documents"

Overview

Publisherindranilbanerjee
Repositorydigital-marketing-pro
Skill namefour-core-documents
Stars
866
Forks
138
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by indranilbanerjee on GitHub. Read the source before you install it.

Installation

Install the Four Core Documents AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/four-core-documents
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/four-core-documents .claude/skills/four-core-documents
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Four Core Documents in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Four Core Documents on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Four Core Documents is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/digital-marketing-pro:four-core-documents — The Strategic Spine (61 Steps)

This skill produces Part 3 of the engagement methodology: the four documents that together define the brand at strategic depth. Every channel strategy, every creative brief, every piece of copy reads back to these.

Context efficiency

Heavy skill. Grep before Read any referenced file, then Read only matched ranges with offset + limit. List the brand's workspace at ~/.claude-marketing/brands/{slug}/ (or $CLAUDE_PLUGIN_DATA/digital-marketing-pro/brands/{slug}/ when that env var is set) before opening files. On re-invocation mid-session, skip files already in context.

Specification: four-core-documents-spec.md — the exact 61 steps across the four documents.

Engagement context: engagement-flow-methodology.md — where Part 3 fits in the 12-Part flow.

Pre-conditions

Before running this skill, verify:

  1. Brand profile exists at ~/.claude-marketing/brands/{brand-slug}/profile.json. If not, run /digital-marketing-pro:brand-setup first.
  2. Engagement is initialised with state file _engagement.json present. If not, run /digital-marketing-pro:engagement start first.
  3. Part 1 (Client Inputs) is completed. Stone facts and Opinion hypotheses must be captured before Part 3 can begin.
  4. Part 2 (External Research) is at least started. Some Part 2 research may continue in parallel with Part 3, but the kickoff must have happened.

If any pre-condition fails, do NOT produce output. Instead, instruct the user on what to run first.

Subcommands

Produce all four documents

/digital-marketing-pro:four-core-documents <brand-slug> <engagement-id>

Produces 3.1, 3.2, 3.3, 3.4 in sequence. Actual time varies with engagement complexity.

Produce a single document

/digital-marketing-pro:four-core-documents <brand-slug> <engagement-id> --doc 3.1

Produces just the specified document. Useful for re-runs (Part 6) or when one doc needs to be redone independently.

Produce v2 re-runs

/digital-marketing-pro:four-core-documents <brand-slug> <engagement-id> --view v2 --doc "3.1,3.3"

Produces v2 versions of the specified documents. --doc takes a single id (3.1) or a comma-separated list ("3.1,3.3"). Used during Part 6 after the Decision Matrix has triggered re-runs. (The canonical flags are --doc, --view v2, and --combined — there is no --docs.)

Produce the Combined Core Document (3.C)

/digital-marketing-pro:four-core-documents <brand-slug> <engagement-id> --combined

Stitches all four canonical core documents (latest version of each) into a single executive-reference file with master TOC, master assumptions table, and master source index. Produced only when an executive audience needs a single-file read.

Production Order

The four documents are produced in sequence because each builds on the prior:

  1. 3.1 Business & SBU Analysis (18 steps) — foundational. Establishes the business reality.
  2. 3.2 Segmentation Framework (15 steps) — depends on 3.1's SBU and customer data.
  3. 3.3 Brand Positioning & Communications (19 steps) — depends on 3.2's personas.
  4. 3.4 DMFlow (9 steps) — depends on 3.1, 3.2, and 3.3 to make channel decisions.

When running re-runs, only the affected documents are regenerated. Other documents remain at their current version.

Per-Document Production

3.1 — Business & SBU Analysis (18 steps)

Read the spec section for 3.1 in four-core-documents-spec.md. The 18 steps are:

  1. SBU identification
  2. SBU separation rationale
  3. Revenue streams per SBU
  4. Unit economics per SBU
  5. Value chain mapping
  6. Offering portfolio at task-level granularity
  7. Pricing architecture
  8. Organisational and go-to-market model
  9. Sales and distribution architecture
  10. Full SWOT with evidence
  11. Growth levers
  12. Constraints
  13. Customer acquisition economics
  14. Customer retention economics
  15. Partnership and channel dependencies
  16. Risk profile
  17. Strategic implications for the engagement
  18. Open questions

Inputs:

  • part-01-client-inputs/stone-facts.json — ground-truth facts
  • part-02-external-research/ — unbiased external research (industry data, market context)
  • Brand profile at ~/.claude-marketing/brands/{slug}/profile.json
  • (Do NOT use Opinion hypotheses as ground truth — those are research questions, not facts)

Output:

engagements/{id}/part-03-four-core-documents/v1/3.1-business-and-sbu-analysis.md

(For v2 re-runs: same path but in v2/ instead of v1/)

Output structure:

markdown
---
document: 3.1-business-and-sbu-analysis
version: v1.0
engagement: {engagement-id}
brand: {brand-slug}
produced: {iso-timestamp}
view: v1   # or v2 for re-runs
---

# 3.1 Business & SBU Analysis

## Step 1: SBU Identification

[Content for step 1]

## Step 2: SBU Separation Rationale

[Content for step 2]

... (all 18 steps, in order)

## Sources

[Numbered list of every cited source: client docs, public sources, industry reports, Stone facts referenced]

## Open Questions

[Anything that could not be answered with available info]

## Change Log

### v1.0 — {date}
- Initial unbiased research version produced from Part 2 + Stone facts.

3.2 — Segmentation Framework (15 steps)

The 15 steps:

  1. Target Group identification
  2. TG scoring across criteria
  3. TG prioritisation
  4. Sub-TG breakdown
  5. Persona development per primary TG (using actionable-persona-format.md)
  6. Behavioural attributes per persona
  7. Psychographic attributes per persona
  8. Need-state mapping
  9. Geographic distribution
  10. (B2B only) Multi-stakeholder Decision Unit per persona (using b2b-decision-making-unit.md)
  11. (B2B only) MQL definition
  12. (B2B only) SQL definition
  13. (B2B only) Pipeline logic
  14. Anti-personas
  15. Activation guidance

Steps 10–13 are skipped for B2C engagements. The skill detects B2B vs B2C from the brand profile's business_model.type field.

Inputs:

  • 3.1 (just produced) for SBU + customer baseline
  • part-04-competitive-customer-market/v1/4.3-customer-analysis.md if available (for unbiased customer research)
  • Brand profile

Output:

engagements/{id}/part-03-four-core-documents/v1/3.2-segmentation-framework.md

3.3 — Brand Positioning & Communications (19 steps)

The 19 steps:

  1. Positioning options considered
  2. Per-option rationale
  3. Per-option trade-offs
  4. Chosen positioning with defence argument
  5. Positioning statement (formal one-sentence)
  6. Trade-offs explicit
  7. Brand promise
  8. Proof points for the brand promise
  9. Primary message architecture
  10. Messaging pillars (3–5)
  11. Proof points per pillar
  12. Segment-level messaging variations
  13. Full-funnel communication framework (TOFU/MOFU/BOFU/retention/advocacy)
  14. Tone-of-voice principles
  15. Explicit don't-say rules
  16. Sensitive-topic handling
  17. Crisis-communication posture
  18. Application guidance across channels
  19. Open positioning questions

Inputs:

  • 3.1 + 3.2 (just produced)
  • part-04-competitive-customer-market/v1/4.2-competitor-positioning.md if available
  • Brand profile (for current brand voice signals)

Output:

engagements/{id}/part-03-four-core-documents/v1/3.3-brand-positioning-and-communications.md

3.4 — DMFlow (9 steps)

The 9 steps:

  1. Channel universe considered (using five-digital-markets.md)
  2. Channel selection with rationale per channel
  3. Funnel architecture per channel
  4. Media mix logic across paid/organic/earned/owned
  5. Budget allocation logic at business level (with In-Market vs Out-Market split per in-market-out-market.md)
  6. Channel interdependencies and sequencing
  7. Conversion framework
  8. Measurement approach
  9. Strategic implications and track weightages

Inputs:

  • 3.1 + 3.2 + 3.3 (just produced)
  • Brand profile (for current channels, budget envelope)
  • channel-families.md for the 7-family / 17-channel taxonomy

Output:

engagements/{id}/part-03-four-core-documents/v1/3.4-dmflow.md

Quality Discipline (Apply to All Four Documents)

  1. Every claim cites a source. No "we think" — only "the evidence shows" with cited source.
  2. Every assumption is explicit. When estimating CAC, LTV, market size, etc., state the methodology and inputs.
  3. Every recommendation flows from analysis. No conclusions the body does not support.
  4. No generic statements. "Strong brand" is generic. "92% brand recall in target segment per [source]" is specific.
  5. All four documents reference each other consistently. A persona defined in 3.2 must be the same persona referenced in 3.3 messaging variations and 3.4 channel selection.
  6. Open questions are documented, not hidden.
  7. Stone facts are facts; Opinion hypotheses are questions. Don't elevate Opinion to fact in the document.
  8. Multi-Dimensional Decision Framework (see decision-framework.md) is used for any choice (channel selection, persona prioritisation, positioning trade-offs).

Single-File Discipline

Each document is produced as a single file containing all its steps. If a document cannot be completed in one turn due to output limits:

  1. Save the partial document so far
  2. Continue the same file from where it left off in the next turn (NEVER start a new file)
  3. The file is considered complete only when all steps are present

There is no hidden continuation state — the skill does not persist a cut-off pointer. The partial file already saved to disk is the only record. If output is interrupted mid-document, re-run the document: read the saved partial as context and continue appending the remaining steps to the same file. For a run interrupted at the engagement level, resume from the part's last checkpoint artifact via /digital-marketing-pro:resume. The saved file is always the source of truth.

After Production

Once all four documents are produced (or after each individually):

  1. Update the Living Project Instruction File:
    • Strategic Facts section: extract positioning statement, primary persona summary, channel selections, unit economics
    • Version History section: add the new v1.0 entries
  2. Mark Part 3 (or the specific sub-document) as completed in _engagement.json
  3. Notify the user that Part 4 is the natural next step

v2 Re-runs

When invoked with --view v2, the skill:

  1. Reads the v1 version of the requested doc
  2. Reads the Part 5 Client Validation Document (the changes the client requested)
  3. Reads the relevant subset of changes that apply to this doc
  4. Produces v2 with a header section listing what changed vs v1:
markdown
## v1 → v2 Changes

- Section X (Step N): {what changed} — driven by {client validation finding ID}
- Section Y: ...
  1. Saves to v2/{doc-name}.md (the v1 file remains untouched)
  2. Bumps the version in _engagement.json via engagement-state.py bump-version
  3. Updates the LIF with the changed strategic facts

Examples

Example 1: First-time production of all four documents

User: Produce the four core documents for the Acme engagement.

Skill response:
1. Verify pre-conditions: brand profile ✓, engagement initialised ✓, Part 1 complete ✓, Part 2 in progress ✓
2. Begin 3.1 Business & SBU Analysis. Read Stone facts, Part 2 research, brand profile. Walk all 18 steps. Cite sources throughout. Save to v1/3.1-business-and-sbu-analysis.md.
3. Begin 3.2 Segmentation Framework. Read 3.1, Part 4.3 if available. Detect business model = B2B from profile, so include steps 10-13. Walk 15 steps. Save to v1/3.2-segmentation-framework.md.
4. Begin 3.3 Brand Positioning. Read 3.1, 3.2, Part 4.2 if available. Walk 19 steps. Save to v1/3.3-brand-positioning-and-communications.md.
5. Begin 3.4 DMFlow. Read 3.1, 3.2, 3.3. Apply 5 Digital Markets taxonomy. Walk 9 steps. Save to v1/3.4-dmflow.md.
6. Update LIF: positioning statement, primary persona, channel selections, blended CAC estimate.
7. Mark Part 3 completed.
8. Brief: "Part 3 complete. 4 documents, 61 steps. Total ~12,000 words across all four. Recommend reviewing 3.3 (positioning) carefully — the chosen positioning has notable trade-offs documented in step 6."

Example 2: v2 re-run after Part 5

User: Re-run 3.3 and 3.4 as v2 — client rejected the positioning and we need to redo the channel mix as a result.

Skill response:
1. Verify Part 5 Client Validation Document exists with positioning rejection captured ✓
2. Begin 3.3 v2. Read 3.3 v1 + Client Validation Document. Re-do positioning per client direction. Add v1→v2 changes header. Save to v2/3.3-brand-positioning-and-communications.md.
3. Begin 3.4 v2. Read 3.4 v1 + (now updated) 3.3 v2. Re-do channel mix to align with new positioning. Add v1→v2 changes header. Save to v2/3.4-dmflow.md.
4. Bump versions: engagement-state.py bump-version --doc 3.3 + --doc 3.4
5. Update LIF: new positioning statement, new channel selections, version history.
6. Brief: "v2 re-runs complete. 3.1 and 3.2 unchanged (still v1.0). 3.3 and 3.4 now at v2.0. Both views remain available. Operating decisions should reference v2 docs."

Example 3: Producing the Combined Core Document for executive review

User: Produce the Combined Core Document for the executive presentation next week.

Skill response:
1. Verify all four core documents exist (latest version of each) ✓
2. Read 3.1 v1.0, 3.2 v1.0, 3.3 v2.0, 3.4 v2.0
3. Synthesise into single document with:
   - Master TOC at top
   - Each document as a major section
   - Master Assumptions Table (extract every "Assumption" call-out from all four docs)
   - Master Source Index (de-duplicated list of every source cited)
4. Save to part-03-four-core-documents/3.C-combined-core-document.md
5. Brief: "3.C produced. 60+ pages. Includes master TOC + assumptions table + source index. Recommended exports: PDF for the executive deck, DOCX if they want to annotate."

Related skills

  • engagement-workflow — orchestrates the 12-Part flow that contains Part 3
  • client-validation-document — Part 5 deliverable that triggers v2 re-runs
  • Existing skills and agents consumed by this one: audience-intelligence, competitive-intel, market-intelligence, brand-guardian

Related references

Frequently asked questions

What does the Four Core Documents AI skill do?

Produce the Part 3 Four Core Documents: business, segmentation, positioning, DMFlow. "produce the four core documents"

Why use Four Core Documents on TypingMind?

Because you install it once and use it with any model. Four Core Documents is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Four Core Documents in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/four-core-documents. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Four Core Documents?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Four Core Documents?

As many as you like. As long as a model supports skills, you can use Four Core Documents with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Four Core Documents AI skill free?

Yes. It is published on GitHub by indranilbanerjee under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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