Build Adaptive ReasoningBank Learning
Agents often repeat weak strategies because outcomes are not captured for later use. This skill shows how to record experiences, learn patterns, and recommend better strategies with ReasoningBank.
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/dnyoussef-reasoningbank-intelligence.md and its manifest at https://skillstore.io/api/skills/dnyoussef-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". Initialize adaptive learning for an agent that handles code review tasks.
Expected outcome:
A ReasoningBank setup plan with persistence, learning rate settings, and experience fields for task, approach, metrics, and context.
Using "reasoningbank-intelligence". Find the best strategy for fixing a recurring API deployment issue.
Expected outcome:
A strategy comparison workflow that checks learned patterns, ranks options, and records the selected outcome for future recommendations.
Using "reasoningbank-intelligence". Measure whether the agent is improving over time.
Expected outcome:
A metrics review approach covering total experiences, learned patterns, strategy success rate, and observed improvement.
All static external-command findings are false positives caused by Markdown code fences and TypeScript template literals in documentation. The SQLite finding is an example local database path, and no prompt injection, exfiltration intent, or executable payload 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/dnyoussef-reasoningbank-intelligence/audits/8?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dnyoussef-reasoningbank-intelligence?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/dnyoussef-reasoningbank-intelligence?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dnyoussef-reasoningbank-intelligence/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/dnyoussef-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>DNYoussef. (2026). reasoningbank-intelligence security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dnyoussef-reasoningbank-intelligence/audits/8@techreport{dnyoussef-dnyoussef-reasoningbank-intelligence-2026,
author = {DNYoussef},
title = {reasoningbank-intelligence security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/dnyoussef-reasoningbank-intelligence/audits/8},
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 8)"
version: "unspecified"
type: report
authors:
- name: "DNYoussef"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/dnyoussef-reasoningbank-intelligence/audits/8"
identifiers:
- type: other
value: "skillstore:dnyoussef-reasoningbank-intelligence:audit:8"
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 and recommend strategies based on language, complexity, and prior success metrics.
Compare task strategies and reuse learned patterns when workflows repeat across projects.
Build agents that store experiences, learn transfer rules, and measure improvement over time.
Use this skill to initialize ReasoningBank with AgentDB persistence for my Node.js agent project.
Show me how to record task outcomes, metrics, and context in ReasoningBank for code review tasks.
Use ReasoningBank to compare three debugging strategies and recommend one for a high-complexity TypeScript issue.
Design an adaptive agent loop that recommends a strategy, executes it, records the result, and updates learned patterns.
Author
DNYoussefLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/DNYoussef/ai-chrome-extension/tree/main/.claude/skills/reasoningbank-intelligenceRef
72d5025b022c77f7a51bdf5c1637c689c80e89d1
Maintenance freshness
7/18/2026
Usage
5 downloads · 230 views
File structure
📄 SKILL.md
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