Build Adaptive ReasoningBank Agents
AI agents lose useful lessons when outcomes are not recorded. This skill shows how to capture experiences, learn patterns, and recommend better strategies.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "ReasoningBank Intelligence" from https://skillstore.io/skills/ruvnet-reasoningbank-intelligence.md and its manifest at https://skillstore.io/api/skills/ruvnet-reasoningbank-intelligence/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "ReasoningBank Intelligence". Create a plan for a code review agent that learns from prior reviews.
Expected outcome:
A structured implementation plan with dependency setup, experience fields, quality metrics, strategy comparison steps, and review checkpoints.
Using "ReasoningBank Intelligence". Help my automation agent learn which deployment response works best.
Expected outcome:
A learning workflow that records incidents, compares response strategies, matches patterns, and recommends future actions with confidence thresholds.
Using "ReasoningBank Intelligence". Audit my ReasoningBank design for long-term quality.
Expected outcome:
A checklist covering data volume, context quality, threshold choices, pattern review, storage growth, and metric tracking.
All 19 external-command alerts are false positives caused by Markdown code fences or JavaScript template literals in documentation examples. The SQLite reference is a local database configuration example, not evidence of sensitive-data exposure or unsafe file access. No prompt injection, exfiltration, or malicious operational intent was found.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/ruvnet-reasoningbank-intelligence/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/ruvnet-reasoningbank-intelligence?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/ruvnet-reasoningbank-intelligence?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/ruvnet-reasoningbank-intelligence/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/ruvnet-reasoningbank-intelligence.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>ruvnet. (2026). ReasoningBank Intelligence security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/ruvnet-reasoningbank-intelligence/audits/9@techreport{ruvnet-ruvnet-reasoningbank-intelligence-2026,
author = {ruvnet},
title = {ReasoningBank Intelligence security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/ruvnet-reasoningbank-intelligence/audits/9},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "ReasoningBank Intelligence security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "ruvnet"
date-released: "2026-07-20"
url: "https://skillstore.io/skills/ruvnet-reasoningbank-intelligence/audits/9"
identifiers:
- type: other
value: "skillstore:ruvnet-reasoningbank-intelligence:audit:9"
description: "Skillstore immutable audit report identifier"
Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
dnyoussef-reasoningbank-intelligence
2026-08-21
ruvnet-reasoningbank-intelligence
2026-08-21
Record review outcomes so an agent can compare strategies and recommend better review approaches over time.
Capture task context and outcomes to identify patterns across recurring automation workflows.
Use the examples to design agents that learn from outcomes, transfer knowledge, and track improvement metrics.
Use this skill to plan a basic ReasoningBank setup for my agent. Include the required dependencies, storage choice, and first experience records.
Use this skill to design ReasoningBank experience records for my workflow. Include task type, approach, outcome metrics, and useful context fields.
Use this skill to compare strategies for my agent workflow. Recommend metrics, confidence thresholds, and how to choose the best strategy.
Use this skill to design a meta-learning workflow with ReasoningBank. Include transfer learning, pattern review, pruning, and performance measurement.
Author
ruvnetLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/ruvnet/claude-flow/tree/main/.claude/skills/reasoningbank-intelligenceRef
dbe0e719813583400773166a0621f8a9b8185c72
Maintenance freshness
7/18/2026
Usage
10 downloads · 232 views
File structure
📄 SKILL.md
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