EXTENSIONS

Generate browser-ready infographic pages using OpenAI image generation. Produces an image, reliable HTML text shell, and relative output suitable for embedding in @alvagante/content-ixen.

A sourced, versioned knowledge base of LLM-ops knowledge — NOT a control plane for running models, but the structured, CEL-queryable record that running extensions read to decide which model to run where, with what settings, at what cost. Six subject kinds (model, runtime, provider, hardware, technique, endpoint), all the same uniform `entry` shape (open kind + open facets, like @stateless/inventory); a model's run-options embed on the model in runsOn[] keyed by endpoint, and capacity/plan answer "what to run where" over them. The twist: it records external, decaying knowledge, so every volatile assertion carries a provenance envelope (asOf, source, versionPins, supersededBy) — "best vLLM version" is derived as the latest un-superseded claim, never a bare rotting field. Declarative: `apply` materialises one `entry` resource per id (re-run = versioned trend); `prune` soft-retires undeclared entries.

Research data collector — gathers intelligence from Hacker News, Lobste.rs,

Query Discourse forums via the public REST API. List categories, browse

Brownfield adoption of existing AWS infrastructure into swamp models.

Reddit moderation model for subreddit management.

Query and monitor JFrog Artifactory from a package consumer perspective.

Build, push, and inspect OCI container images. Registry-agnostic — works with ECR, GHCR, DockerHub, or any OCI-compliant registry. Supports docker, podman, nerdctl, and buildah. Produces typed, versioned build metadata.

Guides new users through mapping their domain onto swamp primitives.

One-shot bootstrap for @webframp/agentcore. Ships a provisioner model

RICE scoring methodology as an agent-guided framework.

Guides teams through applying Domain-Driven Design to existing projects.

Stores swamp runtime data in PostgreSQL with row-based distributed locking. Compatible with AWS RDS, Aurora, and Aurora Serverless v2. Uses fencing tokens for split-brain safety across failover events.

Stores swamp runtime data in GitLab using the Terraform state HTTP API. Provides distributed locking via GitLab's native state locking mechanism and bidirectional sync between local cache and GitLab.

Nix shell execution driver that runs model methods inside a nix shell with declarative package dependencies. Provides reproducible execution environments without containers.

AI-assisted GitLab merge request code review with human approval gate.

Journal Writer — reads research-collector data from the swamp catalog and

Kanban Orchestrator — creates kanban tasks via `hermes kanban create` and

Query and analyze X-Ray distributed traces for incident investigation and performance analysis.

Discover running AWS resources for cost estimation and inventory management.

Query and analyze CloudWatch Metrics for operational visibility and performance monitoring.

Query AWS Cost Explorer for actual spend analysis by service, usage type,

Unified cross-provider AI token usage monitoring — workflow, model, and

Cloudflare management - zones, DNS records, WAF/firewall rules, Workers, and cache/CDN