Use when the user asks about Simon Maple and Baruch Sadogursky's AI Native DevCon talk "Welcome to AI Native DevCon" (June 2026) — including questions about turning mega-prompts into skills, the skill YAML frontmatter (name/description) pattern, when to use rules vs skills vs scripts vs hooks, the "deterministic → script, non-deterministic → LLM" heuristic, the dark factory / issue-to-merged-PR orchestrator concept, Tessl plugins as context artifacts, eval scenarios and LLM-as-judge, using cheaper models via OpenRouter/LiteLLM, or applying their context-engineering approach to the user's own agent setup.
73
92%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
High
Do not use without reviewing
The canonical home for this skill is ainativedev/aidevcon-2026-ldn
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill repeatedly requires the agent to quote verbatim from transcript.md (and to embed verbatim YAML/frontmatter excerpts when drafting artifacts), which forces the LLM to include whatever literal text is present in those files — including any API keys, tokens, or passwords — in its output if such secrets exist in the transcript or quoted files.
1887349
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.