Talk Lawson Agent Experience
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 (skills/recipes/context/ADRs), software factories, autonomous development loops, sandb…
MKit
MCP Server Boilerplate for Cloudflare Workers
Skill Refactor
Scan Codex session history for skill failures, usage patterns, and coverage gaps. Use when the user wants daily skill-health monitoring or evidence-backed recommendations about installing, improving, merging, or pruning skills.
Talk Lamis Context Engineering Dreaming
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 when the user asks about context engineering, CLAUDE.md files, agent memory pers…
Talk Batey Building Product Teams Age Of Ai
Use when the user asks about Christopher Batey's talk 'Building Product Teams in the Age of AI: What We Had to Relearn Every Quarter' (Latent Space, 2026) — including questions about running AI-assisted product engineering teams, his three pillars (path to production at AI speed, training/evaluating AI-enabled engineers, designing workflow for parallel change), ADR-first workflows with agents, wh…
He Router
Route ambiguous Harness Engineering requests to one lifecycle stage when users ask where to start, resume, plan, implement, review, debug, schedule a heartbeat, or resolve domain terminology.
Talk Syme Agentic Repository Automation
Use when the user asks about Don Syme's AI Native DevCon talk on Continuous AI, GitHub agentic workflows, repository automation, and safe developer-controlled automation loops.
Talk Thomas Ai Native Engineering
Use when the user asks about Ian Thomas's talk \"AI Native Engineering\" (Meta / Reality Labs / Horizon Experiences) — including questions about Meta's AI4P (AI For Productivity) programme, the 6-dimension / 5-level AI maturity model and self-assessment workshop, how Horizon rolled out AI tooling across 500+ engineers, engineering excellence as an adoption vehicle, anti-test-slop, autonomous code…
Talk Lopopolo Harness Engineering
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.
Skillify
Capture a completed Codex workflow as a reusable SKILL.md package by analyzing session context plus optional session-collector evidence, interviewing the user with structured prompts, and writing a validated skill artifact. Use when the user asks to skillify or operationalize a repeatable process.
Talk Firtman Web Mcp Agentic Web
Use when the user asks about Maximiliano Firtman's (\"Maxi\") AI Native DevCon talk on Web MCP and the agentic web — including questions about how Web MCP differs from MCP, exposing frontend tools to AI agents, the imperative vs declarative Web MCP APIs, tool design guidance (name/description/input schema/execute), the Chrome 149 origin trial, using Chrome DevTools MCP or Puppeteer as a bridge to…
Unslopify
Use when you need focused cleanup audits, safe removals, scoped quality-risk reductions, and evidence-backed cleanup plans before touching code.
Talk Cormack Tests Lie Observability Ai
Use when the user asks about Justin Cormack's AI Native DevCon talk on tests, observability, AI-generated behavior, evidence, instrumentation, and keeping AI systems honest when test signals are incomplete.
Talk Obstbaum Willoughby Vibes To Metrics
Use when the user asks about Simon Obstbaum and Rob Willoughby's AI Native DevCon talk on measuring AI agents, output evals versus trajectory evals, instrumentation, compliance, and skill activation metrics.
Agent Skills
Governed Agent Skills Kit for Codex and AI coding agents: author once, validate quality, expose command handles, and sync runtime projections through ask.
Talk Maleix Collective Intelligence
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 diary/entry/pack/render workflow, turning agent mistakes into reusable team knowledge…
Talk Smith Connecting Context Future Transports
Use when the user asks about Shaun Smith's AI Native DevCon talk on MCP transports, remote Streamable HTTP servers, stateless protocol direction, Hugging Face MCP adoption, and future context transports.
Talk Selajev Docker Sandboxes Agents
Explains Oleg Selajev's Docker Sandboxes talk and helps design safe, conceptual agent-isolation policies: file-sharing boundaries, network policy, secret isolation, audit expectations, and team rollout questions. Use when the user asks about sandboxed agents, hard isolation, local agent risk, or how to reason about agent safety without setup instructions.
Talk Kerr Bipolar Disorder Dysregulation Ai
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.
Talk Podjarny Skills Are The New Code
Assists with questions about Guy Podjarny's talk \"Skills are the new Code\". Use when the user wants to understand, apply, audit, or explore frameworks from this keynote — including the five engineering disciplines for skills (static analysis, evals, security testing, dependency management, observability), the three challenge buckets, the agentic development stack, or concepts like skill authori…
Talk Birgitta Closing Keynote
Answers questions about, retrieves safe excerpts from, explains concepts from, and summarizes key arguments in Birgitta Böckeler's talk \"State of Play: AI Coding Assistants\" (AI Native Dev conference, 2026). Use when the user asks about the last 12 months in AI coding assistants, model-task fit, LLM statelessness, context window and attention trade-offs, coding harnesses, harness engineering/co…
Talk Stoneham Product Brain
Explains the Product Brain talk and helps design curated product-memory systems for AI-assisted product work: knowledge structure, provenance, synthesis cadence, ownership, and agent-ready context packets. Use when the user asks about product context for AI, product knowledge management, product documentation for LLMs, or building a maintained product brain.
Talk Tal Skills Security
Explains and applies Liran Tal's AI Native DevCon talk on skills security. Use for questions about skill supply-chain risk, AI tool vetting, third-party plugin risks, provenance checks, permission review, sandbox expectations, defensive skill governance, MCP/tool safety, and creating safe skill-review checklists.
Talk Martinelli Spec Driven Development
Answers questions about, summarises key insights from, and helps apply concepts from Simon Martinelli's talk \"Lessons from Spec-driven Development\" — providing verbatim-grounded explanations, audits, and artifact drafts. Use when the user asks about the AI Unified Process, system use cases as specs (vs user stories), self-contained systems vs microservices, skills/MCP servers/guardrails, AI-ass…
Talk Groetzinger Skills Everywhere
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 across a team.
Talk Kushwaha Benchmarking Agent Era
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.
Talk Baker Sadogursky Context Engineering Skills
Use when the user asks about Macey Baker and Baruch Sadogursky's workshop-style AI Native DevCon session on turning repeated agent work into skills, rules, scripts, hooks, and evals.
Invalid Missing Frontmatter
A Claude skill from jscraik/Agent-Skills.
Talk Overweg One Brain No Filtering
Explains Robert Overweg's One Brain, No Filtering talk and helps design safe knowledge-memory systems: context maps, retrieval rules, provenance labels, local knowledge-store structure, and review checkpoints. Use when the user asks about agent memory, unified knowledge bases, reducing context loss, or designing inspectable knowledge workflows.
Talk Roberts Brownfield Ai Native
Use when the user asks about Katie Roberts's talk \"Stop Maintaining, Start Evolving: Applying AI-Native Engineering in Brownfield Codebases\" (AI Native DevCon, June 2026) — including questions about brownfield vs greenfield AI engineering, the three methodologies (pseudo-greenfield, strangler fig pattern, branch by abstraction), the \"code as a city\" metaphor, using AI to map and modernize leg…
Talk Sloan Harness Engineering Beyond Code
Summarizes Rob Sloan's harness-engineering talk and creates safe design artifacts for agent context beyond code: product-intent packets, design constraints, acceptance criteria, context ownership, and review gates. Use when the user asks about making non-code context agent-ready or improving AI work with product/design intent.
Talk Foxwell Reinvention Dev Team
Assists with questions about Hannah Foxwell's talk 'The Reinvention of the Dev Team'. Use when a user asks about Foxwell's arguments on agentic software development, engineering team composition, AI-driven velocity, dev-to-PM ratios, the three anchors (build something worth building, speed requires safety, people matter), the Keep/Trash/Try inventory, on-call sustainability, broken-comb skills, o…
Talk Jones Odevo Ai Native Transformation
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 → pilot → training → train-the-trainer playbook, prerequisites for adopting agent…
Talk Maple Aind Devcon Welcome
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 the talks.
Talk Debois Agent Enablement
Use when the user asks about Patrick Debois's talk \"Coding Agents Don't Scale Themselves. Neither Do Your Teams. The Rise of Agent Enablement.\" — including questions about agent enablement teams, the three pillars (Enablement, Platform, Governance), the Context Development Lifecycle applied to org charts, AI product engineers, agent KPIs like turns-per-task, harnesses and shared context librari…
Skills Sdk Valid Fixture
Minimal valid Codex skill source fixture for JSC-391 scaffold tests.
Talk Stack Humans Architect Ai Writes Code
Explains Paul Stack's architecture-first AI workflow and helps create safe design artifacts: intent documents, architecture constraints, planner/reviewer loops, UAT criteria, and agent-output review gates. Use when the user asks about humans owning architecture while agents implement, why vibes do not scale, or applying the talk to team workflow design.
Talk Marsden Agent Desktops
Use when the user asks about Luke Marsden's talk \"Giving Every Agent Its Own Desktop: Lessons from Dogfooding HelixML\" — including questions about HelixML, giving each agent its own GPU-accelerated desktop, spec-driven development with plan/implement phases, scaling agents by task vs by org-shape, centralized vs per-developer agent infrastructure, forking Zed for remote control, ZFS-cloned Dock…
Talk Dubnov Merge Rate Ai Adoption
Answers questions about, applies frameworks from, and generates artifacts based on Tammuz Dubnov's talk \"When Our PM Started Writing Code: What Merge Rate Taught Us About AI Adoption.\" Grounds every response in the bundled transcript and outline files. Use when a user asks about AI-native org design, merge rate measurement, non-technical contributors shipping PRs, harness engineering, zero-dev-…
Talk Douglas Training Ai On Your Own Code
Answers questions about Brian Douglas's talk on training AI on your own code. Use when a user asks about Brian Douglas's pipeline for capturing agent sessions, extracting skills from traces, fine-tuning small local models, tapes/steros tooling, SFT vs DPO decisions, or wants to apply his agent telemetry and training data approach to their own work with Claude Code, QLoRA, or parallel agents.
Talk Trieloff Browser Agents
Summarizes, explains, and applies Lars Trieloff's AI Native DevCon talk on browser-native agents. Use for browser agents, running AI in the browser, browser-as-runtime architecture, agent containment, local-versus-cloud tradeoffs, safe AI product integration, documented APIs, user consent, credential isolation, and reviewable agent actions.
Talk Farley Vibe Coding Best We Can Do
Summarizes, explains, and answers questions about Dave Farley's talk 'Vibe Coding — Is this really the best we can do?', including key arguments, frameworks, and recommendations. Provides verbatim-cited explanations of Farley's three properties of programming languages, audits AI-coding setups against his three-problems framework, drafts BDD-style executable specifications, and outlines his conti…
Talk Scheire Artificial Intelligence
Use when the user asks about Lieven Scheire's talk \"Artificial Intelligence\" (a Belgian physicist/comedian's keynote on AI for a developer audience) — including questions about his one-sentence definition of AI as \"a new kind of software good at pattern recognition\", the history of AI from the 1956 Dartmouth workshop, how neural networks mimic the brain, training-data bias (the \"snow in the…
Talk Moss Skills Team Workflow
Explains James Moss's team-skills workflow and helps design skill governance: decomposition, ownership, versioning, eval scenarios, quality review, and lifecycle maintenance. Use when the user asks about moving from solo skill hacks to team workflow, avoiding skill sprawl, or treating skills like software.
Talk Katsioloudes Code Security Ai
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 vs shift left, task flows, LLM-as-judge, supply-chain decisions, AI-assisted fu…
Talk Jourdan Pipelines To Prompts
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, observability, developer cognitive load, feedback loops, reflector agents, or co-driving vs.…
Talk Azriel Executable Specs
Use when the user asks about Shachar Azriel's AI Native DevCon talk on executable specs, verification layers for agentic coding, planner/verifier separation, requirement mapping, product-gap detection, and safe review architecture.
Talk Ruiz Agents On Canvas Tldraw
Use when the user asks about Steve Ruiz's AI Native DevCon talk on tldraw, Make Real, annotations as prompt input, canvas workflows, tldraw computer, and agents collaborating on an infinite canvas.
Talk Roberts Ai Native Brownfield
Use when the user asks about Katie Roberts''s talk \"Stop Maintaining, Start Evolving: Applying AI-Native Practices to Brownfield Codebases\" — including questions about using AI to build large complex systems (her ~350k-line Rust S3 clone experiment), test oracles, flaky tests with AI agents, why 100% test coverage is the wrong goal, human-in-the-loop AI coding, AI-assisted performance engineeri…
Skills Sdk Scenario Quality Fixture
Fixture skill with promotable eval scenario metadata.
Talk Walter Runtime Intelligence Agents
Answers questions about, summarizes, and applies May Walter's AI Native DevCon talk \"From Blind Spots to Merged PRs\" on runtime intelligence for coding agents. Use when the user asks about production telemetry for agents, prod-to-code mapping, performance fixes from runtime data, why automated PRs need provenance, Hud's runtime code sensor, weekly performance reports, AI-generated fixes with pr…
Talk Luebken Embedding Pi Coding Agent
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, agent sessions, or design-level application of these primitives.