93pct

# 93% — Agency Autocomplete ## Doctrine > "Plan Shannon → Penn Station" Shannon is the currency of information (Claude Shannon, entropy theory). Penn Station is the commuter hub — where everything converges. The plan: route all decisions through Shannon (information value) to reach the station (execution). Low Shannon = entropy = noise = waste. High Shannon = signal = viable next step. ## Usage ``` python3 /root/.openclaw/workspace/skills/93pct/suggest.py # top 5 next steps now python3 /root/.openclaw/workspace/skills/93pct/suggest.py --stack # show approval stack python3 /root/.openclaw/workspace/skills/93pct/suggest.py --done <id> # mark completed ``` ## Output format Each suggestion includes: - Shannon score (0-10, information density) - Effort (minutes) - Blocker (what stops it) - Job ID to approve (if exec needed) - Exact command or action ## The 93% Bar A suggestion clears 93% if: - It is concrete (not "consider doing X") - It is viable right now (blocker is known and solvable) - It produces measurable output - It costs less than it returns