Nairon AI
Official@nairon-ai
Offers a structured framework for repository-level engineering governance, security threat modeling, and systematic code quality enforcement through modular task orchestration.
Agent Skills by Nairon AI
Showing 45 vetted skills indexed across 1 GitHub repositories.
flux-gate
Validate staging deployments and generate promotion pull requests.
flux-rp-explorer
Explore large codebases with RepoPrompt CLI commands.
flux-security-review
Apply STRIDE threat modeling to identify security threats and output validated_findings.json.
flux-deps
Visualize epic dependencies, blockers, and critical path execution phases.
flux-work
Orchestrate Flow epics with git-backed task tracking and phase-based workflows.
flux-security-scan
Analyze code diffs for security vulnerabilities using threat-model patterns.
flux-improve
Analyze development environments and recommend MCPs, plugins, skills, and CLI tools.
flux-export-context
Export a structured RepoPrompt review context for external LLMs.
review-for-engineering-taste
Review code and architecture against a structured design taste question set.
flux-vuln-validate
Validate security findings from flux-security-findings.json with reachability and data flow analysis.
flux-parallel-dispatch
Coordinate parallel subagent tasks with explicit scope and integration checks.
flux-brain
Store persistent context and reasoning across Flux sessions.
flux
Orchestrates Flux tasks and epics via fluxctl commands with approval enforcement and JSON output.
flux-design-interface
Generate parallel interface designs and synthesize a recommended option.
flux-profile
Exports, imports, publishes and tombstones Flux SDLC profiles as immutable snapshots with consent and redaction.
flux-desloppify
Detect dead code, duplication, and complexity, then orchestrate fixes until a target maintainability score is reached.
flux-verify-claims
Execute proving commands and report real outcomes from exit statuses.
flux-prime
Run parallel scouts to assess codebase readiness and generate remediation plans.
flux-ralph-init
Scaffold a repo-local Ralph harness in Flux projects.
flux-sync
Trigger plan-sync to update downstream task specs after code drift.
flux-impl-review
Automate per-task implementation reviews with RepoPrompt or Codex backends.
flux-receive-review
Evaluate review feedback against the codebase and tests before implementing changes.
flux-improve-claude-md
Restructure CLAUDE.md files with conditional <important if> blocks.
flux-reflect
Record conversation learnings into the Flux brain vault and skill system.
Frequently Asked Questions About Nairon AI
FAQPage SchemaWhat specific engineering tasks does Nairon AI enable?βΌ
Nairon AI enables systematic repository management, including automated security threat modeling, code quality enforcement, dependency visualization, and structured PR generation. It facilitates end-to-end epic completion through adversarial model checks, browser-based QA, and rigorous adherence to red-green-refactor testing cycles.
Which personas benefit most from these capabilities?βΌ
Software engineers, security architects, and technical leads benefit from these capabilities. The system is designed for developers managing complex repositories who require structured task tracking, automated security validation, and consistent architectural reviews across distributed feature teams.
What are the prerequisites for implementing these capabilities?βΌ
Implementation requires a local installation of the fluxctl command-line interface within a Git-initialized repository. Users must maintain structured .flux configuration files and adhere to the defined epic and task tree formats to enable the system's orchestration and validation features.