ELF Checkin Command

Interactive workflow to load the building context before starting work.

What It Does

The /checkin command:

•Shows the ELF banner with ASCII art first (before any prompts)
•Queries the building for golden rules and heuristics
•Displays relevant context and frameworks
•Asks if you want to launch the dashboard (first checkin only)
•Asks which AI model you want to use (first checkin only)
•Checks for pending CEO decisions
•Loads and displays recent session context

Usage

bash

/checkin

The checkin command is simple - just type /checkin to load framework context and prepare your session.

Execution

This skill runs the new Python-based orchestrator:

bash

python ~/.claude/emergent-learning/elf.py checkin
# OR directly:
python ~/.claude/emergent-learning/src/query/checkin.py

The orchestrator is a complete 8-step workflow:

•Step 1: Display banner
•Step 2: Load building context
•Step 3: Display golden rules & heuristics
•Step 4: Previous session summary (optional/async)
•Step 5: Dashboard prompt (first checkin only, with state tracking)
•Step 6: Model selection prompt (first checkin only, with persistence)
•Step 7: CEO decision checking
•Step 8: Ready signal

Workflow Steps (8-Step Structured Process)

Step 1: Display Banner ✓

Show ELF ASCII art immediately

•Always shown on every checkin
•Signals that framework is loading

Step 2: Load Building Context ✓

Query the learning framework

•Loads golden rules (Tier 1)
•Loads heuristics (Tier 2)
•Loads recent patterns and learnings

Step 3: Display Golden Rules & Heuristics ✓

Parse and format context for readability

•Shows rule count and key principles
•Displays relevant patterns

Step 4: Previous Session Summary

Spawn async haiku agent to summarize recent work

•Async execution (doesn't block)
•Shows continuity with previous sessions

Step 5: Dashboard Prompt ⚡ NEW

Ask user if they want to start the dashboard

•Only on first checkin (tracked via state file)
•"Start ELF Dashboard? [Y/n]"
•Launch in background if yes
•Never asked again in same conversation

Step 6: Model Selection ⚡ NEW

Interactive prompt to select your active AI model

•Only on first checkin (state-tracked)
•Options: (c)laude / (g)emini / (o)dex / (s)kip
•Selection stored in ELF_MODEL environment variable
•Persists for subagent invocations

Step 7: CEO Decisions

Check for pending CEO decisions in ceo-inbox/

•Lists count and first 3 items
•Informational only

Step 8: Ready Signal ✓

Print completion message

•"✅ Checkin complete. Ready to work!"
•Marks first checkin complete (state file)

Key Improvements (Full Spec Compliance)

✅ Banner First - Displayed before any prompts, not after ✅ One-Time Prompts - Dashboard and model selection appear only on first checkin ✅ State Tracking - Uses ~/.claude/.elf_checkin_state to track conversation state ✅ Model Persistence - Selection stored in ELF_MODEL environment variable ✅ Structured Workflow - All 8 steps executed in proper sequence ✅ Context Parsing - Query output properly formatted for display

Interactive Prompts

Dashboard Prompt (First Checkin Only)

code

Start ELF Dashboard?
   The dashboard provides metrics, model routing, and system health.

Start Dashboard? [Y/n]:

•Default: Yes (just press Enter)
•Launches in background if accepted
•Never asks again in same conversation

Model Selection Prompt (First Checkin Only)

code

Select Your Active Model
   Available models:
     (c)laude    - Orchestrator, backend, architecture (active)
     (g)emini    - Frontend, React, large codebases (1M context)
     (o)dex      - Graphics, debugging, precision (128K context)
     (s)kip      - Use current model

Select [c/g/o/s]:

•Stores choice in ELF_MODEL environment variable
•Used by subagent routing
•Default: Claude (s)kip option

Integration with Building

The checkin workflow is your gateway to the building's knowledge:

•Golden Rules - Constitutional principles (always loaded)
•Heuristics - Reusable patterns and knowledge
•Failures - What went wrong and lessons learned
•Successes - What worked and can be replicated
•Sessions - Previous work summaries for continuity

Running checkin at the start of each session ensures you're working with current institutional knowledge.