SAP Implementation Workflow

A step-by-step guide to implementing the Skill Adapter Protocol for any role and platform combination

SAP as a One-Button Workflow Unit: Job Mode in Action

The true power of SAP lies not in its individual phases, but in its ability to function as a unified, autonomous workflow unit designed for browser agents. Just like DeepSearch has internal phases (planning, searching, synthesizing) that users don't need to manage manually, SAP has Learn → Translate → Execute phases that run automatically when paired with browser automation capabilities. This documentation explains the complete breakdown of the workflow that happens behind the scenes.

Introducing Job Mode

Imagine a simple chat interface with a toggle for "Job Mode":

📎
Ask anything
💻 Job Mode
User:"I want to grow my social media account to 1000 users. You're my Social Media Manager, manage this account for me http://x.com/a16z"

Workflow

Learn Phase
Translate Phase
Execute Phase

How Job Mode Works

1
Single Trigger
User enables Job Mode: "Become a LinkedIn Sales SDR and start prospecting"
2
Autonomous Pipeline
System automatically learns, translates, and executes without manual handoffs
3
Immediate Results
Within 30 minutes: documented platform understanding + active AI agent

The Undeniable Proof

Before:Generic AI needing extensive setup
After:Role-specific AI operating autonomously
Evidence:SAP file + execution logs + results
SAP's Job Mode represents the next evolution: adaptive workflows that can learn and operate in any digital environment from a single prompt.

SAP's Job Mode represents the next evolution: adaptive agentic workflows that can learn and operate in any digital environment from a single prompt.

Phase 1: Learn Phase

Begin by having the AI agent passively observe the target platform to understand its interface, user flows, and available interactions.

1

Define Role and Context

Clearly specify the role (e.g., "Social Media Manager"), platform (e.g., "X/Twitter"), and the agent's goals and backstory.

Example:
Role: Social Media Growth Manager
Platform: X/Twitter (https://x.com)
Goals: Achieve sustainable growth through engagement
2

Systematic Platform Exploration

Navigate through key platform areas, documenting UI elements, affordances, and user flows without executing any actions.

Areas to Explore
  • • Home/main timeline
  • • Profile pages
  • • Search/explore sections
  • • Notifications
  • • Settings and preferences
Document For Each Area
  • • Key UI elements and buttons
  • • Available actions and flows
  • • Potential skill mappings
  • • Screenshots or descriptions
3

Generate Learn Phase Report

Compile observations into a structured markdown report with executive summary, detailed sections, and a skills mapping table.

Report Structure:
• Executive Summary
• Platform Area Sections
• Top 10 Skills Mapping Table
• Strategic Insights
Phase 2: Translate Phase

Transform the Learn phase observations into a complete, executable SAP markdown file that serves as the AI agent's Standard Operating Procedure.

1

Create YAML Header

Define metadata including name, platform, version, author, and role context.

---
name: "Twitter Growth Manager"
platform: "X/Twitter"
version: "1.0"
---
2

Define Skills

Create 10-12 structured skills based on the Learn phase mappings, each with YAML metadata and numbered execution steps.

Skill Components
  • • YAML metadata block
  • • Numbered execution steps
  • • UI element mappings
  • • Conditional logic
  • • Error handling
Example Skills
  • • trend_monitoring
  • • post_content
  • • engage_audience
  • • analyze_metrics
  • • schedule_posts
3

Build Role Orchestrator

Define workflow sequences, conditional logic, error handling, and success metrics for coordinating skills.

# Role Orchestrator
## Workflow Sequences
Daily: trend_monitoring → content_creation → audience_engagement
Phase 3: Execute Phase

Deploy the generated SAP file with persistent state tracking, task execution, and adaptive error recovery mechanisms.

1

Load and Parse SAP File

Initialize the agent with the generated SAP file, parsing skills, workflows, and configurations.

Initialization Checklist:
✓ Parse YAML metadata
✓ Load skill definitions
✓ Initialize workflow sequences
✓ Set up error handling
2

Execute Tasks with State Tracking

Run tasks according to workflow sequences while maintaining persistent checklists and performance monitoring.

Execution Features
  • • Task checklist management
  • • Real-time status updates
  • • Performance metrics tracking
  • • Error logging and recovery
Safety Measures
  • • Test mode for initial runs
  • • Retry limits and backoff
  • • Platform compliance checks
  • • User intervention points
3

Monitor and Adapt

Continuously monitor performance, handle errors gracefully, and provide detailed execution summaries for optimization.

Sample Checklist Output:
| Task | Status | Notes | Timestamp |
| trend_monitoring | DONE | 5 trends identified | 14:30 |
| content_creation | TODO | Pending approval | - |
Use Execute Template
Requires ongoing monitoring
Success Metrics & Optimization

Track these key indicators to measure SAP implementation success and identify optimization opportunities.

Learning Effectiveness

  • • UI element coverage (aim for 90%+)
  • • Skill mapping accuracy
  • • Platform area completeness
  • • Documentation quality score

Translation Quality

  • • Skill definition completeness
  • • Workflow sequence logic
  • • Error handling coverage
  • • YAML structure validity

Execution Performance

  • • Task completion rate (target 85%+)
  • • Error recovery success
  • • Platform compliance score
  • • User satisfaction metrics

Continuous Improvement

SAP is designed for iterative improvement. Regularly review execution logs, update skills based on platform changes, and refine workflows based on performance data. Consider re-running the Learn phase when platforms undergo major updates.

Ready to Get Started?

Now that you understand the SAP workflow, explore our interactive templates and examples to begin your first implementation.