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Under the Hood of the
LinkedIn Community Builder

How the skill is built, why it works this way β€” and where to start if you want to change it.

7-Phase Orchestrator Verification Engine For Skill Authors
01

The Skill's Architecture

A single SKILL.md with 7 stateful phases and a verification layer

Four layers at a glance

The entire skill lives in a single SKILL.md β€” no external reference files, no scripts. The intelligence is in the structure:

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Layer 1: Philosophy & Algorithm Knowledge

Immutable core principles + current algorithm data. The skill's "world view".

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Layer 2: Orchestrator Mode

State machine with 7 phases + entry point routing. Determines WHERE the skill starts.

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Layer 3: Phase Definitions (Γ—7)

Each phase has: Goal, guiding principle, tactics, concrete output formats.

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Layer 4: Verification + Conversation Style

6-point check that EVERY output passes through. Plus tonality rules.

02

The Orchestrator β€” The State Machine

How the skill decides where to enter and how to proceed

7 Phases as State Machine

The skill isn't linear β€” it's a state machine. Users can enter at any phase β€” the skill routes automatically based on keywords.

P1

Positioning

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P2

Profile

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P3

Content

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P4

Engagement

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P5

Community

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P6

Analytics

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P7

Monetization

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The Orchestrator Pattern

The skill separates WHERE to enter (orchestrator) from WHAT happens there (phase definition). Like a phone menu ("Press 1 for..., 2 for...") separate from the departments behind it. Adding a new phase = new row in the entry table + the phase itself.

03

Anatomy of a Phase

How each of the 7 phases is structured

The 5-Field Structure

Every phase follows the same blueprint β€” like an interface:

G
Goal

One sentence describing what must be achieved. Serves as compass for Claude.

P
Guiding Principle

A bold conviction driving all tactics. E.g. "Commenting is the fastest path to visibility."

T
Tactics

Concrete action items, tables, lists, formulas. The operational core.

W
Warning Signs (optional)

What can go wrong and how the skill should respond.

O
Output

Numbered list of deliverables. What the user holds after the phase.

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Extension point: Adding a new phase

Copy the 5-field structure, change content, add a row to the entry table. Done. The orchestrator itself stays unchanged β€” it's an open dispatcher serving unlimited phases.

04

The Verification Layer

6 checkpoints every output passes through

6 Checkpoints

Algorithm Congruence
Does the recommendation contradict known algorithm rules?
Positioning Consistency
Does it fit the defined positioning and topic lanes?
Feasibility
Can the user do this with their time budget?
Measurability
Is there a concrete indicator to measure success?
Authenticity Check
Does this sound like the user β€” or like a generic LinkedIn coach?
Anti-Template Check
Does the suggestion follow an overused pattern the algorithm might devalue?
05

Where to Make Changes

Cheat sheet for modifying the skill

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Algorithm outdated?

β†’ Algorithm section + Content phase (format mix) + Verification check 1

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New phase?

β†’ Entry table + Phase with 5-field structure + optionally frontmatter

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Adjust tactics?

β†’ Only within the affected phase β†’ Tactics section

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Numbers/heuristics?

β†’ Change directly, but check cascade effects

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Core principles?

β†’ Only change if you understand cascade effects on ALL phases

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Skill produces wrong output?

β†’ Sharpen verification checks (add explicit negative examples)

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The architecture in one sentence

Invariant principles define the world view. Volatile data provides the facts. The orchestrator routes to the right place. 7 phases with identical structure produce the answers. Verification checks everything against the principles. Changes to upper layers cascade downward β€” so change principles cautiously, tactics boldly.

06

Test Your Understanding

Can you modify the skill with precision?

Scenario

You want to add a new Phase 8 "LinkedIn for Recruiters". What must you change?

Which two places in the skill need editing?

Scenario

LinkedIn changes the algorithm: carousels now perform 50% worse, native polls are the new top format.

Which places need updating?