Explains Kevin Groetzinger's Skills Everywhere talk and helps teams operationalize reusable skills: trigger design, ownership, discoverability, maintenance, quality review, and adoption loops. Use when the user asks about skill design, skill rollout, skill sprawl, shared agent instructions, or making skills reliable…
Use when the user asks about Daniel Jones (Deejay) and Tomasz's talk "More software, faster — Odevo's AI Native transformation" — including questions about how Odevo (Sweden's third-largest private tech company, residential property management) rolled out agentic coding to its developers, the discovery → workshops →…
Assists with questions about a practitioner panel talk titled 'From Pipelines to Prompts: Surviving the Shift to AI' featuring Stephane Jourdan, Simon (Saxo Bank), and Samantha. Use when a user asks about what panelists said, argued, or disagreed on regarding AI-native transformation, harness engineering…
Answers questions about, summarises key insights from, and applies the security guidance of Joseph Katsioloudes's talk 'Code Security Reinvented: Navigating the era of AI'. Use when the user asks about AI-assisted secure coding, MCP servers, skills, agentic workflows, the 1-to-100 security-to-developer gap, start left…
Use when the user asks about Dave Kerr's AI Native DevCon talk on bipolar disorder, dysregulation, and AI, including responsible interpretation of personal and clinical themes from the transcript.
Use when the user asks about Amit Kushwaha's AI Native DevCon talk on benchmarking agent-era systems, measuring performance beyond single LLM calls, inference, workflow complexity, tool use, and real-world workloads.
Answers questions about Lamis's (Anthropic) AI Native DevCon talk on context engineering, agent memory systems, and dreaming — an asynchronous, out-of-band memory-curation process. Supports factual Q&A, framework application, system auditing, artifact drafting, and concept explanation based on the talk's content. Use…
Use when the user asks about Dana Lawson's talk "Built for Humans. Now Agents Are Here." (Netlify CTO, 2026) — including questions about Agent Experience (AX), the AX paradox, redesigning CLIs/build logs/deploy previews for agents, moving from APIs to capabilities, event-driven agent architectures, blueprints…
Use when the user asks about Ryan Lopopolo's AI Native DevCon talk on harness engineering, steering coding agents with goals, constraints, context, tool scope, eval loops, and verification systems.
Explains, summarizes, and turns Matthias Luebken's talk on embedding Pi-style coding agents into safe product-design artifacts: tool-contract sketches, guardrail checklists, session-record models, and malleable-software review plans. Use when the user asks about OpenClaw, Pi-style product agents, lifecycle guardrails…
Provides detailed answers, conceptual explanations, workflow guidance, and framework-based analysis about Edouard Maleix's talk "How AI-First Dev Teams Build Collective Intelligence — One Attributed Mistake at a Time." Use when the user asks about giving coding agents their own identity and signed commits, the…
Summarizes Simon Maple's AI Native DevCon welcome and explains the conference framing: context window, latent space, tool pool, hallway track, attendee goals, and practical learning themes. Use when the user asks about the event opening, conference themes, AI-native development framing, or how to orient work around…
Agent "02-development-workflow" from jscraik/ralph-gold, covering development workflow, project structure, build, test, and dev commands, coding style and testing guidelines.
Agent "03-validation-and-governance" from jscraik/ralph-gold, covering validation and governance, working with project instructions, execplans, security and configuration and ai assistance governance (model a).
Agent "04-contradictions-and-cleanup" from jscraik/ralph-gold, covering contradictions and cleanup, contradictions (needs decision) and flag for deletion.
Claude Code instructions for jscraik/mKit, covering claude ai governance, ai assistance governance (model a), when creating prs with ai assistance, artifact templates and pr template.