Agent-ML-skills – Teach Codex/Claude/Cursor to stop making ML mistakes
Opens the thread: a community skill pack aimed at stopping coding agents from repeating ML mistakes.
3 items · 2 sources · 3 days
Operational story trace
Follow in this browser to see new updates on your Live feed.
Latest change
A Jun 22 "loop engineering" writeup argues teams should stop one-off prompting and instead design repeatable autonomous agent workflows for Claude Code — the latest in a run of practitioner techniques for steering coding agents.
Through June, practitioners kept publishing small, shareable guardrails to keep coding agents (Claude Code, Codex, Cursor) from common failure modes — first a skill pack aimed at stopping them making ML mistakes (Jun 6), then two Claude Code skills to curb over-engineering (Jun 8). The throughline is bolting reusable constraints onto agents instead of re-prompting each task.
Arc
Opens the thread: a community skill pack aimed at stopping coding agents from repeating ML mistakes.
Adds a second guardrail pattern — Claude Code skills specifically to curb over-engineering.
Shifts the framing from per-task prompting to designing reusable autonomous agent workflows ("loop engineering").
Opens the thread: a community skill pack aimed at stopping coding agents from repeating ML mistakes.
Adds a second guardrail pattern — Claude Code skills specifically to curb over-engineering.
Shifts the framing from per-task prompting to designing reusable autonomous agent workflows ("loop engineering").
What to watch — open questions
Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.