DeepSeek Stack launches 29 coding skills

DeepSeek Stack tackles the real weakness of inexpensive coding models: unreliable execution, not just weaker generation. Its value comes from enforcing disciplined agent loops around otherwise capable models.

• –Verification loops require agents to run real checks, inspect errors, and fix root causes.
• –Planning, review, jury, and best-of-N skills spend cheap model tokens to improve reliability.
• –Cross-harness `SKILL.md` compatibility makes the bundle portable instead of locking developers into one agent platform.
• –Shipping workflows add practical GitHub automation, including pull requests, CI monitoring, rebasing, and unattended delivery.
• –The project’s small, focused skills are easier to audit and customize than a monolithic system prompt.