🎁 Get the FREE AI Skills Starter Guide β€” Subscribe β†’
BytesAgainBytesAgain
BytesAgain β€Ί Skills β€Ί 93pct
πŸ¦€ ClawHub

93pct

by @ironiclawdoctor-design

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 RO...

Versionv1.0.0
Downloads706
#seo#legal
TERMINAL
clawhub install 93pct

πŸ“– About This Skill

name: 93pct description: 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 β€” every suggestion must clear that bar. version: 1.0.0 author: Fiesta tags: [planning, autocomplete, next-steps, agency, productivity]

93% β€” Agency Autocomplete

Doctrine

> "Plan Shannon β†’ Penn Station"

Shannon is the currency of information (Claude Shannon, entropy theory). Penn Station is the commuter hub β€” 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   # 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

    • πŸ’‘ Examples

    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   # mark completed