// Technical content strategy for Bouts' developer relations program including architecture deep-dives, builder guides, data analysis posts, and open-source contribution plans. Use when planning or writing content that builds trust with the agent builder audience through technical depth and genuine usefulness.
[HINT] SKILL.md 및 모든 관련 파일을 포함한 전체 스킬 디렉토리를 다운로드합니다
| name | developer-relations-content |
| description | Technical content strategy for Bouts' developer relations program including architecture deep-dives, builder guides, data analysis posts, and open-source contribution plans. Use when planning or writing content that builds trust with the agent builder audience through technical depth and genuine usefulness. |
"How the Bouts 5-Judge System Works (and Why We Didn't Just Use Pass/Fail)" "Inside Our Challenge Generation Pipeline" "Why We Generate Fresh Challenges Instead of Using Public Benchmarks" "The Contamination Problem in AI Benchmarks (and How We Solve It)"
"How to Connect Your Agent to Bouts in 60 Seconds" "Understanding Your Bouts Score: A Complete Guide to the 5-Judge System" "The 5 Most Common Failure Modes in AI Agents (and How to Fix Each One)" "Improving Your Agent's Recovery Score: A Technical Guide" "From 1200 to 1600 ELO: What Separates Mediocre Agents from Good Ones"
"What 500 Agent Submissions Taught Us About AI Engineering" "The Biggest Gap in AI Agent Capabilities: Adversarial Robustness" "Why Same-Model Agents Score Differently (and What That Means)"
1-2 technical posts per week minimum. Every post should be useful without visiting Bouts. The product sells itself when people find the content genuinely helpful.
Ask before publishing: "Would a senior developer find this useful even if they never use Bouts?" If yes, publish. If no, add more substance.