93pct

Autocomplete for agency next steps. Like Google autocomplete but for what to do next. Given any context, returns the top concrete viable actions ranked by ROI/effort ratio. Always outputs exactly one job ID to approve. Named after the 93% standard — every suggestion must clear that bar.

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Install skill "93pct" with this command: npx skills add ironiclawdoctor-design/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

Source Transparency

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