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Skills
Memory Journal MCP Server includes shipped agent skills that can be auto-discovered by AI agents (like GitHub Copilot, Cursor, or Windsurf) to power advanced structured workflows and establish permanent AI behavior paradigms.
Bundled natively into the server distribution, these foundational meta-cognitive capabilities set immediate boundaries on agent code generation and architectural execution:
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autonomous-dev— Harness for deterministic software engineering, alignment gates, adversarial agents, Git workflows, and CI/CD pipelines. -
bun— Native APIs, test runners, and strict runtime limits. -
docker— Production-grade Docker and container best practices. -
github-actions— Master GitHub Actions CI/CD workflows with production-grade security and performance patterns. -
github-copilot-cli— Integration instructions for standardizing adversarial Copilot evaluations. -
gitlab— Specialized assistant skill for managing repositories, code search, and CI/CD in GitLab. -
golang— Engineering standards for interfaces, error handling, and concurrency. -
mysql— Enterprise production parameters for query safety, structure, and connection pooling. -
playwright-standard— Opinionated validation standards for UI/API lifecycle testing. -
postgres— Advanced patterns for indexing, JSONB querying, and transactional guardrails. -
python— Master modern Python development with production-grade tooling and idioms. -
react-best-practices— Vercel engineering guidelines for React/Next.js performance and bundle optimization. -
rust— Meta-cognition framework for borrow checking and ownership design. -
shadcn-ui— Component composition and CLI integration patterns. -
skill-builder— Guide for creating, evaluating, and refining AI agent instructions. -
sqlite— Production configurations for concurrency (WAL), typing (STRICT), and data integrity. -
tailwind-css— Master Tailwind CSS v4 with its CSS-first configuration paradigm. -
typescript— Enterprise-grade TypeScript development with Zod validation and modern tooling. -
vitest-standard— Comprehensive unit testing architecture and deep mocking strategies.
Introduced in v6.2.0, the GitHub Commander skill set provides a suite of robust pipeline workflows that coordinate GitHub integration tools, journal entries, and Code Mode evaluation. These skills ensure that all AI agent actions leave a proper audit trail in your project history.
- Issue Triage — Analyze incoming issues, assign labels, link to related journal entries, and add them to Kanban boards.
- PR Review — Comprehensive PR review including code analysis, test coverage checks, and mapping to architectural decisions in the journal.
- Copilot Audit — Pre-push adversarial reviews powered by the GitHub Copilot CLI.
- Roadmap Kickoff — Translate an approved epic implementation plan into an agent-actionable GitHub Kanban structure via Milestones and tracked Issues.
- Sprint Milestones — Plan and track sprints by correlating GitHub Milestones with journal activity.
- Security Audit — Review dependencies and data flow for vulnerabilities.
- Code Quality Audit — Multi-step codebase audit checking against project standards and logging results.
- Performance Audit — Check runtime performance and bundle sizes, documenting regressions.
- Update Dependencies — Run a structured dependency update with validation gates and journal audit trail.
While these skills ship directly embedded within the memory-journal-mcp server, you can also inject them into standalone workspace repositories independently using our internal NPM package. This ensures your AI agent environments always have synchronized guidelines regardless of the active MCP context:
npx neverinfamous-agent-skills@latestThis utility command will automatically download and hydrate the latest SKILL.md rulesets directly into your ./.agents/skills/ directory.
Skills are exposed to the AI agent via the memory://skills resource.
- Shipped Skills: Automatically discovered from the npm package.
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Custom Skills: You can add your own skills by setting the
SKILLS_DIR_PATHenvironment variable (or--skills-dirCLI flag) to point to a local directory containing your customSKILL.mdfiles.
Note: User-defined skills in SKILLS_DIR_PATH will override shipped skills with the same name.
When the agent reads memory://skills (e.g., at session start via memory://briefing), it becomes aware of the available workflows. You can then prompt the agent:
"Run the GitHub Commander PR Review skill on PR #42"
The agent will load the skill instructions on-demand and execute the structured workflow.