RE

recursive-decision-ledger

Tracks systematic decision-making and search rollouts, keeping a visible audit trail of trials, winners, and logic for reproducibility.

Install

mkdir -p .claude/skills/recursive-decision-ledger && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15351" && unzip -o skill.zip -d .claude/skills/recursive-decision-ledger && rm skill.zip

Installs to .claude/skills/recursive-decision-ledger

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Use when the user asks for repeated rollouts, marked decision processes, high-dimensional search, stochastic optimization, local-optima exploration, ensemble comparison, or recursive reasoning with a visible evidence trail.
223 chars✓ has a “when” trigger
Advanced

Key capabilities

  • →Record rollout IDs and timestamps
  • →Capture fresh information ingested
  • →Track search space size and model heuristics
  • →Mark candidates as accept, watch, reject, decay watch, or needs replay
  • →Compare winners against prior winners
  • →Append artifacts before summarizing

How it works

This skill records detailed information for each rollout in a ledger, including fresh data, search parameters, candidate marks, and coherence checks, to manage recursive decision processes.

Inputs & outputs

You give it
a request for repeated rollouts or high-dimensional search
You get back
a structured ledger entry and a summary of the decision process

When to use recursive-decision-ledger

  • →Running repeated search rollouts
  • →Managing recursive optimization tasks
  • →Tracking ensemble decisions

About recursive-decision-ledger

Records rollout IDs, fresh information, search bounds, and coherence marks to manage high-dimensional search tasks and ensemble comparisons effectively.

Use when the user asks for repeated rollouts, marked decision processes, high-dimensional search, stochastic optimization, local-optima exploration, ensemble comparison, or recursive reasoning with a visible evidence trail.

When not to use it

  • →When the user is not asking for repeated rollouts or high-dimensional search
  • →When the goal is to prove certainty through recursive prompting
  • →When the task does not require a visible evidence trail

Limitations

  • →The skill requires recording specific ledger contract items for each rollout
  • →The skill does not approve live actions based on recursive confidence alone
  • →The skill focuses on managing decision processes, not executing them

How it compares

This skill formalizes recursive decision-making with a structured ledger and explicit coherence marks, providing an auditable trail that differs from informal iterative processes.

Compared to similar skills

recursive-decision-ledger side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
recursive-decision-ledger (this skill)04moNo flagsAdvanced
docetl23moReviewIntermediate
slm-lab-benchmark17moReviewAdvanced
document-classification04moNo flagsIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

You might also like

Search skills

Search the agent skills registry