navigate-aiewf-2024-keynotes
Navigates AI Engineer World's Fair 2024 keynote themes—LLM product discipline, copilots, multimodal APIs, enterprise agents, local inference, realtime data…
Skill by hiteshbandhu
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: presentations, data, ml
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Files it touches
~/.claude/skills/navigate-aiewf-2024-keynotes
What's inside
- Skill name
navigate-aiewf-2024-keynotes- Description
- Navigates AI Engineer World's Fair 2024 keynote themes—LLM product discipline, copilots, multimodal APIs, enterprise agents, local inference, realtime data, and platform second-order effects. Use when planning AIEWF takeaways, auditing LLM team practices, or choosing vendor/platform direction from 2024 keynotes.
- License
- MIT
- Instructions
- 71 lines in SKILL.md · view on GitHub
Files (4)
- README.md
- SKILL.md
- source-index.md
- workflows.md
SKILL.md (first lines)
# Navigate AIEWF 2024 keynotes Action playbook from fifteen World's Fair 2024 keynotes. **Do not summarize talks** — pick a workflow theme and execute it. **Supporting files:** - [workflows.md](workflows.md) - [source-index.md](source-index.md) Optional deliverables: `./skill-outputs/navigate-aiewf-2024-keynotes/` --- ## Step 0 — Pick workflow theme ``` What is the user trying to do? ├─ Team operating model, evals, data literacy → product-discipline ├─ Copilots in dev platforms, assistant eval loops → copilots-platforms ├─ Multimodal / Anthropic / knowledge assistants → models-vendors ├─ Local CPU inference, edge-friendly distribution → local-inference ├─ Live data for agents, accidental platformization → data-platforms ├─ Enterprise agents, Hypermode-style backends → agents-enterprise └─ Strategy, education, hardware (MAX, decoder) → strategy-craft ``` Open the matching section in [workflows.md](workflows.md). --- ## Install ```bash cp -r skills/navigate-aiewf-2024-keynotes ~/.claude/skills/ cp -r skills/navigate-aiewf-2024-keynotes ~/.cursor/skills/ cp -r skills/navigate-aiewf-2024-keynotes ~/.codex/skills/ cp -r skills/navigate-aiewf-2024-keynotes ~/.agents/skills/ ``` Source: [ingest-into-skills](https://github.com/hiteshbandhu/ingest-into-skills) `playlists/keynote-aie-world-s-fair-2024/`. --- ## Cross-cutting rules | Rule | Source | |------|--------| | Evals + data literacy are core AI engineer skills, not optional | [src-001 @ 0:20:18] | | Look at production data before scaling agent autonomy | [src-001 @ 0:24:04] | | Copilots must live in existing dev workflows with telemetry | [src-003 @ 0:10:00] | | Model churn requires per-vendor eval regression | [src-005 @ 0:22:00] | | Second-order UX/trust effects matter as much as time saved | [src-009 @ 0:12:00] | --- ## Output to user 1. Name theme + deliverables 2. Save artifacts under `./skill-outputs/navigate-aiewf-2024-keynotes/` when requested 3. Do not auto-commit --- ## Invocation examples ``` @navigate-aiewf-2024-keynotes apply lessons-from-a-year eval operating model Which keynote themes matter for our enterprise agent rollout? Map Anthropic vs OpenAI multimodal choices from AIEWF keynotes ```
From hiteshbandhu/skills-i-use, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 25, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/hiteshbandhu/skills-i-use
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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navigate-aiewf-2024-keynotes skill. Agent Mart. https://agentmart.dev/skills/hiteshbandhu-navigate-aiewf-2024-keynotes (last updated 2026-10-24)