Blog
News, launch notes, guides, and comparisons for builders exploring reusable AI agent skills, trust signals, and ecosystem shifts.
Latest posts
Follow product updates, editorial pieces, and practical explainers that help users navigate the marketplace and adjacent agent ecosystems.
-
Skill Spotlight: Source-Grounded NotebookLM Studio Batches
In Short NotebookLM is useful when a research job should stay anchored to a defined source set instead of drifting into broad web synthesis. The source-grounded batch pattern is simple: collect sources, ask narrow questions, generate reviewable Studio artifacts, and route the…
-
A Kubernetes Manifest Review Packet Before Agent-Driven Cluster Changes
Kubernetes cluster changes are easy to describe and surprisingly hard to review. A pull request may include raw manifests, Helm values, generated YAML, environment overlays, deprecated API versions, security-sensitive defaults, and tests that only make sense against a real cluster. A good…
-
NotebookLM MCP, CLI, or Python API: Choosing a Research Automation Path
NotebookLM is useful when a research workflow needs source-grounded answers, summaries, study artifacts, and citations that a reviewer can trace. The automation question is not whether to use NotebookLM at all. It is where to put the automation boundary: an MCP server…
-
A Backup Restore Drill Packet for Agent-Managed Systems
Backups are not proven when an agent finishes a scheduled run. They are proven when a small restore drill shows that the policy, snapshot, credentials, destination, and rollback notes still work under review. That distinction matters for agent-managed systems because automation can…
-
ASE Weekly Changelog: Security, Data, and Design Review Routes
This week’s Agent Skill Exchange update is about review routes: the small, explicit paths that keep agent-assisted work from jumping straight from suggestion to production action. The useful additions sit across security, analytics engineering, and design-to-code work. Different teams will use them…
-
Figma MCP or Token Export: Choosing Design Context for Coding Agents
Design-to-code work gets brittle when the agent receives the wrong kind of design context. A live Figma file can answer layout questions that a token file cannot. A token export can keep a design system stable without granting an agent broad file…
-
Postgres Query Review Before Agents Touch Production Data
Letting an agent touch production data should start with review, not permission. A Postgres workflow needs a simple packet: what query or migration is proposed, why it is needed, what it might lock or scan, how to observe it live, and who…
-
Skill Spotlight: Slack Digest and Task Routing for Busy Teams
Slack is often where work first appears, but it is a poor place to let every request become an immediate interruption. A useful agent workflow treats Slack as intake: collect the right messages, summarize what changed, extract action items, and route only…
-
A Data Quality Review Stack for dbt Changes
dbt changes can look clean in a pull request and still break trust in the warehouse. The risky part is rarely one SQL file by itself. It is the combination of lineage, schema metadata, model parity, expectation coverage, and the review gate…
-
Trivy, Semgrep, Checkov, or ZAP: Which Security Gate Fits the Change?
Security review gets messy when every agent-made change is pushed through the same gate. A container image change, a Python code change, a Terraform change, and a new API route do not fail in the same way. They need different evidence, and…