Format

Explainers

Plain-language guides to concepts and techniques. Every explainer published by GenAI Brief, selected across topics.

An editorial mix across topics. Dates show when each story was published or updated.

44 stories · page 2 of 4

  1. ToolsExplainer

    The definitive guide to Atlassian MCP: setup, auth, admin controls and limits

    Atlassian's hosted MCP server gives AI clients Jira, Confluence, Bitbucket and more at mcp.atlassian.com/v2/mcp. How to connect it, how OAuth and API tokens differ, what admins control and where it stops.

    23 min read

  2. ToolsExplainer

    Cursor skills: how Agent Skills work in Cursor, and the six worth installing

    How Cursor skills work as of October 2026: where SKILL.md folders live, how the agent picks one, rules vs skills vs MCP, and how to install skills with npx skills add.

    24 min read

  3. ToolsExplainer

    Claude --dangerously-skip-permissions: a practical guide to what it bypasses

    What Claude Code's --dangerously-skip-permissions flag skips, the checks that survive it, real incident patterns, and safe recipes for containers, sandboxes and CI.

    21 min read

  4. ToolsExplainer

    LLM observability: what to capture, how to trace agents, and which tools fit

    A working guide to LLM observability: the per-call record, OpenTelemetry GenAI conventions, agent traces, PII redaction, Prometheus alerts, production evals and the tools for each job.

    25 min read

  5. ToolsExplainer

    Claude API platform admin: roles, workspaces and the Admin API explained

    How to administer the Claude Developer Platform: Console roles, workspaces and their limits, Admin API keys and curl calls, usage and Claude Code reports, SSO and data retention.

    23 min read

  6. ToolsExplainer

    MCP best practices: tool budgets, permissions and approvals for real agent teams

    Ten MCP best practices for the 2026-07-28 spec, each with a bad and good example and a check: tool budgets, naming, least privilege, approvals, transports, logs and tests.

    23 min read

  7. ModelsExplainer

    Claude Sonnet 5.5: a practical guide to price, effort, benchmarks and migration

    Anthropic's mid-tier model costs $2 in and $10 out per million tokens with a 1M context. What changed from Sonnet 5, when to pick it over Opus 5.5 or Haiku 5.5, and how to migrate.

    24 min read

  8. ToolsExplainer

    Claude skills marketplace: when to use public ones and when to run your own

    A Claude skills marketplace is the catalogue your agents install skills from. How public ones work, and how to run a private one with versions, review and one-step rollback.

    20 min read

  9. ToolsExplainer

    Model Context Protocol: the definitive guide to how MCP works in 2026

    A spec-level reference to MCP: history and governance, every revision up to 2026-07-28, the stateless request model, each primitive, transports, extensions, SDK tiers and the limits.

    25 min read

  10. ToolsExplainer

    Prompt caching: how it cuts LLM costs at Anthropic, OpenAI and Gemini

    Prompt caching bills a repeated prompt prefix at 5 to 10 percent of the input rate. Current provider numbers, why caches miss, a worked cost example and the rest of the LLM cost playbook.

    27 min read

  11. ToolsExplainer

    Slack MCP server: the definitive guide to tools, setup and security

    Slack's hosted MCP server lets Claude, Cursor and coding agents search, read and post in Slack as the signed-in user. Tools, scopes, setup, rate limits, risks and governance.

    24 min read

  12. ToolsExplainer

    What is an MCP server? Meaning, anatomy and how to vet one

    An MCP server is the program that hands an AI app its tools, resources and prompts. What it is and is not, stdio versus HTTP, a working server in TypeScript and Python, and the trust checks.

    20 min read