你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候,对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.
-43 stars 24h | -525 7d
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0/5 channels firing
Each channel contributes 0-1. Per-channel tiers: GitHub (breakout 1.0 / hot 0.7 / rising 0.4), HN (front-page 1.0 / ≥3 mentions 0.7 / 1-2 mentions 0.4), Bluesky (≥5 mentions 1.0 / 2-4 0.7 / 1 0.4), dev.to (≥3 articles 1.0 / 2 0.7 / 1 0.4), Reddit (corpus-normalized 48h velocity).
No mentions on this channel in the last 7 days.
// QUIET HERE DOESN'T MEAN THE REPO IS DEAD — CHECK OTHER TABS
Ranked confirmation layer for repo-specific X buzz in the last 24h.
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last commit 16h ago
* Reddit bar shows a per-repo velocity proxy (raw score / 100); the score formula uses the corpus-normalized version so a single repo's bar may not match its contribution to the corpus-wide ranking.
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
🎉开源一周暴涨8.9k Stars!把AI压榨到极致! AI coding agent已经开始被企业PUA话术鞭策,自己改代码、死磕bug了 一个很有意思的开源Skill插件项目:tanweai/pua 核心就是:“不允许AI说我不行” 设计亮点: 1. 三条红线/铁律 把“验证、事实驱动、穷尽方案”写成不可违背的交付标准(典型目标是减少“口头完成”“未经验证的环境甩锅”) 2. 把‘换方案’定义为“本质不同” ,专门针对 AI 常见的“同一思路换参数”原地打转 3. 语言与文化双皮肤 :README 里强调中文是“大厂 PUA 话术”,英文是 “PIP(Performance Improvement Plan)话术”,同引擎不同外壳,适配不同受众语境 4. 指标意识 :README 给了对照实验指标(如 fix 数、验证次数、工具调用、隐藏问题发现等提升),同时承认代价是更多 tool calls——这点很诚实 原仓库🔗: github.com/tanweai/pua
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