How do I install the Run Summit 2023 Workshops skill?

Run npx skillmds@latest add hiteshbandhu/run-summit-2023-workshops in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Run Summit 2023 Workshops safe to use?

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Which AI agents work with Run Summit 2023 Workshops?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Run Summit 2023 Workshops free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Run Summit 2023 Workshops?

hiteshbandhu (@hiteshbandhu) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Run Summit 2023 Workshops by hiteshbandhu

Name: Run Summit 2023 Workshops
Author: hiteshbandhu

Run Summit 2023 Workshops

Runs AI Engineer Summit 2023 workshop playbooks — foundations (101), inference (201), product patterns beyond inference (Rest of the Owl), and Anthropic prompt engineering principles. Use when onboarding to AI engineering, designing inference stacks, or improving task prompts; or when the user says "summit 2023 workshop", "AI engineering 101", "inference workshop", "prompt principles Karina".

hiteshbandhu Updated Sep 17, 2026

File contents

Run Summit 2023 workshops

Action playbook from four AI Engineer Summit 2023 workshops. Do not summarize talks — pick a workflow and execute it.

Supporting files (read when needed):

workflows.md — workflows A–D (steps, deliverables, stop conditions)
source-index.md — src-NNN → talk learnings in ingest-into-skills

Optional deliverables: {SKILL_OUTPUT_DIR}/run-summit-2023-workshops/ — see skills-i-use OUTPUT.md.

Step 0 — Pick workflow

What is the user trying to do?
├─ Baseline AI engineering literacy (models, APIs, apps)     → A  [src-003]
├─ Inference serving, latency, cost, deployment              → B  [src-004]
├─ Product architecture beyond the model (LUI, eval, ops)  → C  [src-001]
└─ Task prompt design (Claude / API best practices)          → D  [src-002]

Stop summarizing once a workflow is identified — run its checklist in workflows.md.

Install

cp -r skills/run-summit-2023-workshops ~/.claude/skills/
cp -r skills/run-summit-2023-workshops ~/.cursor/skills/
cp -r skills/run-summit-2023-workshops ~/.codex/skills/

Source corpus: ingest-into-skills playlists/ai-engineer-summit-2023-workshops/.

Cross-cutting rules

Rule	Source
AI engineering = systems around models, not prompting alone	[src-003 @ 7:17]
Inference is necessary but not sufficient for product value	[src-001 @ 0:25]
Prompts steer attention; use task keywords, context, examples	[src-002 @ 0:01:33]
Structure: context first, clear task, coherent logical flow	[src-002 @ 6:43]
Prefer inference-time compute over retraining when possible	[src-002 @ 1:53]

Output to user

Name the workflow (A–D) and deliverable
Save artifacts under ./skill-outputs/run-summit-2023-workshops/ when requested
Do not auto-commit

Invocation examples

@run-summit-2023-workshops walk me through AI engineering 101 topics
design our inference layer using the 201 workshop
improve task prompts using Anthropic principles

---name: run-summit-2023-workshopsdescription: Runs AI Engineer Summit 2023 workshop playbooks — foundations (101), inference (201), product patterns beyond inference (Rest of the Owl), and Anthropic prompt engineering principles. Use when onboarding to AI engineering, designing inference stacks, or improving task prompts; or when the user says "summit 2023 workshop", "AI engineering 101", "inference workshop", "prompt principles Karina".---# Run Summit 2023 workshopsAction playbook from four AI Engineer Summit 2023 workshops. **Do not summarize talks** — pick a workflow and execute it.**Supporting files** (read when needed):- [workflows.md](workflows.md) — workflows A–D (steps, deliverables, stop conditions)- [source-index.md](source-index.md) — src-NNN → talk learnings in ingest-into-skillsOptional deliverables: `{SKILL_OUTPUT_DIR}/run-summit-2023-workshops/` — see [skills-i-use OUTPUT.md](https://github.com/hiteshbandhu/skills-i-use/blob/main/skills/OUTPUT.md).---## Step 0 — Pick workflow```What is the user trying to do?├─ Baseline AI engineering literacy (models, APIs, apps) → A [src-003]├─ Inference serving, latency, cost, deployment → B [src-004]├─ Product architecture beyond the model (LUI, eval, ops) → C [src-001]└─ Task prompt design (Claude / API best practices) → D [src-002]```**Stop summarizing** once a workflow is identified — run its checklist in [workflows.md](workflows.md).---## Install```bashcp -r skills/run-summit-2023-workshops ~/.claude/skills/cp -r skills/run-summit-2023-workshops ~/.cursor/skills/cp -r skills/run-summit-2023-workshops ~/.codex/skills/```Source corpus: [ingest-into-skills](https://github.com/hiteshbandhu/ingest-into-skills) `playlists/ai-engineer-summit-2023-workshops/`.---## Cross-cutting rules| Rule | Source ||------|--------|| AI engineering = systems around models, not prompting alone | [src-003 @ 7:17] || Inference is necessary but not sufficient for product value | [src-001 @ 0:25] || Prompts steer attention; use task keywords, context, examples | [src-002 @ 0:01:33] || Structure: context first, clear task, coherent logical flow | [src-002 @ 6:43] || Prefer inference-time compute over retraining when possible | [src-002 @ 1:53] |---## Output to user1. Name the workflow (A–D) and deliverable2. Save artifacts under `./skill-outputs/run-summit-2023-workshops/` when requested3. Do not auto-commit---## Invocation examples```@run-summit-2023-workshops walk me through AI engineering 101 topicsdesign our inference layer using the 201 workshopimprove task prompts using Anthropic principles```

Frequently asked questions