Workflow #linkedin #dm-conversion

LinkedIn Profile DM Conversion Playbook

Workflows Free, ungated

Merged LinkedIn systems package for profile conversion and DM pipeline execution. This repo adapts full Wave 3 assets into one operator workflow: ICP positioning, profile architecture, lead-magnet capture, DM sequencing, AI-assisted postcraft, content planning, distribution loops, and authority positioning.

What's inside

FileWhat it does
.agents/skills/SKILL.mdOrchestrator and routing logic
.agents/skills/linkedin-icp-and-positioning.mdDefines target segments and positioning language for LinkedIn execution.
.agents/skills/linkedin-profile-conversion-architecture.mdBuilds conversion-oriented profile structure and CTA placement.
.agents/skills/linkedin-lead-magnet-post-system.mdDesigns lead-magnet post workflow and comment-to-DM response trees.
.agents/skills/linkedin-dm-sequence-operator.mdRuns trigger-based DM sequences with value-led follow-up logic.
.agents/skills/linkedin-conversation-qualification.mdScores and routes conversations into call, nurture, or disqualify paths.
.agents/skills/linkedin-pipeline-governance.mdEnforces quality, safety, and measurement controls before launch.
.agents/skills/linkedin-ai-postcraft-workflow.mdGenerates AI-assisted post drafts with brand verification controls.
.agents/skills/linkedin-content-bucket-planner.mdPlans weekly publishing across proof, education, and belief buckets.
.agents/skills/linkedin-post-type-composer.mdComposes posts using five reusable post-type frameworks.
.agents/skills/linkedin-distribution-loop-operator.mdRuns a daily distribution rhythm and routes engagement signals.
.agents/skills/linkedin-content-team-ops.mdDefines team structure, SLAs, and workflow operations.
.agents/skills/linkedin-authority-channel-flywheel.mdBuilds authority positioning and channel flywheel execution.

Prerequisites

  • Clear ICP and offer definition
  • LinkedIn operator capacity for response SLA
  • Proof assets for profile and DM credibility
  • Destination workflow for qualified conversations
  • Tracking method for acceptance, response, and qualification rates
  • Content operating capacity for weekly planning and distribution

Installation

Cursor, Windsurf, or Generic AI IDE

  1. Clone the repo: git clone https://github.com/forma-norden/linkedin-profile-dm-conversion-playbook
  2. Copy the .agents/skills/ directory into your project's .agents/skills/ folder.

Claude Code

  1. Clone the repo: git clone https://github.com/forma-norden/linkedin-profile-dm-conversion-playbook
  2. Copy the .agents/skills/ directory into your project's .claude/skills/ folder.

Usage

Read .agents/skills/linkedin-profile-conversion-architecture.md

Inputs:
- segment: VP Sales at 50-300 employee B2B SaaS firms
- offer: signal-based outbound workflow implementation
- proof: 2 case snapshots + 1 teardown asset
- CTA destination: DM keyword "ROUTE"

Return:
1) headline options
2) about section draft
3) featured section and CTA placement map
4) profile audit score

Expected output:

  • profile copy variants and placement map
  • conversion-safe CTA structure
  • audit checklist for go-live readiness

For content operations, run:

Read .agents/skills/linkedin-content-bucket-planner.md
Read .agents/skills/linkedin-post-type-composer.md
Read .agents/skills/linkedin-distribution-loop-operator.md

Running tests

Use the prompt tests in tests/ to validate expected behavior and edge cases before deployment.

  • tests/README.md in linkedin-profile-dm-conversion-playbook
  • Load each skill and run the corresponding test prompt
  • Compare output against the validation checklist before rollout

Who this is for

GTM engineers, RevOps leads, VP Sales, and founders at B2B companies with 50 to 500 employees who are building or consolidating their outbound infrastructure and want to reduce tool sprawl through better-engineered GTM systems.

Ecosystem connections

This repository is designed to work as part of the Forma Norden open-source GTM ecosystem.

Works with

RepoRelationshipWhen to use together
linkedin-claude-code-workflowParallelThis repo handles organic and DM, that repo handles ads and signal processing
cold-email-copy-playbookParallelMulti-channel: email copy here, LinkedIn messaging there
signal-based-list-building-workflowUpstreamLinkedIn engagement signals feed list building
buying-window-signal-workflowUpstreamSignal scoring determines DM timing and approach

Suggested skill chains

  1. Content to pipeline: content-bucket-planner > post-type-composer > lead-magnet > dm-sequence > conversation-qualification > pipeline-governance
INSTALL COMMAND
$ npx skills add forma-norden/linkedin-profile-dm-conversion-playbook
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