#evolink

topic_id: claude-opus-4-7-routing-effort-guide platform: Tumblr content_mode: C_light_touch persona: Research Editor source_template: claude-opus-4-7-fast-mode_B_master.md canonical_url: https://evolink.ai/blog/claude-opus-4-7-routing-guide landing_url: null utm_source: tumblr utm_campaign: opus_4_7_routing

publish_status: draft

The interesting thing about Claude Opus 4.7 is not that it is better. It is that Anthropic shipped controls for how hard it thinks.

New xhigh effort level. Task budgets that cap how much an agent spends per turn. Per-request effort tuning.

This turns model selection from a one-time decision into a routing problem: which task gets deep reasoning, which task gets speed, which task gets a budget cap.

The teams that figure out routing will outperform the teams that just pick the "best model" for everything.

topic_id: claude-skills-engineer-workflow platform: Tumblr content_mode: C_light_touch persona: Research Editor source_template: claude-skills-engineer-workflow_A_master.md canonical_url: https://evolink.ai/blog/claude-skills-engineer-workflow landing_url: null utm_source: tumblr utm_campaign: claude_skills

publish_status: draft

The most popular AI coding repo right now is not a model or a framework. It is a folder of instruction files.

mattpocock/skills — 77K stars on GitHub. Composable Markdown files that go in your .claude directory and change how Claude Code approaches tasks.

The core idea: your coding agent fails not because it is not smart enough, but because it starts building before it understands what you want. These skills force the "ask first, build second" pattern.

The best one: /grill-with-docs — the agent interviews you about the project, then creates a shared vocabulary file it reads in every future session.

Simple install: npx skills@latest add mattpocock/skills