Autoprompt skill: fewer failures, more tokens
Autoprompt solves 73 of 89 Terminal-Bench 2.1 tasks against a baseline of 60, at roughly 3x the time and 2x the tokens. What that costs on a rented VPS.
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Autoprompt solves 73 of 89 Terminal-Bench 2.1 tasks against a baseline of 60, at roughly 3x the time and 2x the tokens. What that costs on a rented VPS.
How the unlazy skill stops an agent declaring done early: the Depth Tree, gates files, the PLAN.md contract, install steps, and what the depth costs you.
Your agent writes a SPEC you approve and an EVIDENCE report you can rerun yourself. Inside the Old Coder gauntlet: what mutation testing adds over coverage.
Convert a PDF, EPUB or folder of internal docs into an agent skill your coding agent loads on demand: install, token budget, headless runs, licensing.
Write your own agent skill by distilling one real failure: the SKILL.md anatomy, the description line that decides when it fires, and how to test it.
What a Claude Code plugin is, where it lives, how to install one, and what it really costs: nothing for the mechanism, tokens for everything it loads.
Three ways to give a coding agent context, and one rule for picking. See what a skill, an MCP server and a rules file each cost in tokens and upkeep.
Copy a skill into eight repos and the copies drift. Treat skills like dependencies: one shared repo, and a version each project pins and reviews.
The fable-method repo turns Claude Fable 5's habits into agent skills. What each file does, what ports to other models, and how to A/B it on a VPS.
Your SearXNG instance can be the search backend for an AI agent. JSON API setup, the trust boundaries, and the prompt injection surface it opens.