skills/memory-management/SKILL.md
- automatic by the AI agent itself (memory system of the platform) - documentation as a part of memory - might use plugins/extensions - might have custom workaround memory ( e.g. on OpenClaw)
npx skillsauth add alvarovillalbaa/agent-suite skills/memory-managementInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
development
Use for frontend engineering work such as components, routes, state management, accessibility, performance, design-system integration, and browser-facing debugging or refactors.
development
This skill should be used when the user asks to write, update, review, scaffold, move, remove, or continuously improve documentation for code, folders, services, repos, workflows, architectural decisions, or operational processes. Trigger for inline docs, `README.md`, `ARCHITECTURE.md`, `TESTS.md`, `SETUP.md`, `RUNBOOK.md`, `CHANGELOG.md`, `SECURITY.md`, `OVERVIEW.md`, `FAQ.md`, `DECISIONS.md`, `DEPENDENCIES.md`, `AGENTS.md`, `PLAN.md`, `SPEC.md`, `SOUL.md`, `PRINCIPLES.md`, `DESIGN.md`, `logs/`, `lessons/`, `items/`, `fixes/`, `audits/`, `raw/`, `plans/`, `specs/`, `sources/`, `lib/`, `references/`, `cookbook/`, `knowledge/`, `runbooks/`, `research/`, `official-documentation/`, `context/`, MDX docs, JSDoc/TSDoc, docstrings, ADRs, post-mortems, migration guides, documentation cleanups, and documentation-impact reviews.
tools
Cross-cloud CLI-first cloud operations for AWS, Azure, and GCP. Use when the assistant needs to identify which cloud provider or multi-cloud estate a repo uses, deploy new resources or services, wire automatic deployments, inventory and optimize infrastructure, or diagnose and repair cloud failures entirely from the terminal, with explicit approval gates for high-cost, destructive, identity-sensitive, or hard-to-reverse changes. Covers AWS Amplify full-stack projects, serverless workloads (Lambda, API Gateway, Step Functions, SAM, CDK), and the full AWS database portfolio (RDS, Aurora, Aurora DSQL, DynamoDB, ElastiCache), as well as deep Azure references for diagnostics, storage, compute, compliance, identity, Foundry, and cross-cloud migrations.
development
Use for backend engineering work such as APIs, services, data models, persistence, queues, caching, auth, background jobs, and server-side debugging or refactors.