Companion repo to our livestream series Show Us Your (Agent) Skills
개요
What are people at the top of the game building with AI agents, and how are they doing it? Are they Claudemaxxing with 8 terminals open at once? Or adversarially testing Opus 4.7 generated code with OpenAI Codex? Do they define suites and swarms of sub-agents, or use AGENTS.md and agent skills? What do they love about building with agents? What do they hate? What tips and tricks do they use to supercharge their workflows? Thomas Wiecki (PyMC Labs) and Hugo Bowne-Anderson (Vanishing Gradients) are on a mission to find out. Think Excel World Championships meets Eurovision. This repo turns each episode into browsable, forkable artifacts: markdown skills, workflow writeups, and tool references you can read, copy, and adapt to your own setup. Chip Huyen showed a Good AI Stack project containing 1,409 agents, with a strong model planning and reviewing while cheaper agents work across providers.
README
What are people at the top of the game building with AI agents, and how are they doing it?
Are they Claudemaxxing with 8 terminals open at once? Or adversarially testing Opus 4.7 generated code with OpenAI Codex? Do they define suites and swarms of sub-agents, or use AGENTS.md and agent skills?
What do they love about building with agents? What do they hate? What tips and tricks do they use to supercharge their workflows?
Thomas Wiecki (PyMC Labs) and Hugo Bowne-Anderson (Vanishing Gradients) are on a mission to find out. Think Excel World Championships meets Eurovision.
This repo turns each episode into browsable, forkable artifacts: markdown skills, workflow writeups, and tool references you can read, copy, and adapt to your own setup.
Latest episode: Chip Huyen, Tim Hopper
Chip Huyen showed a Good AI Stack project containing 1,409 agents, with a strong model planning and reviewing while cheaper agents work across providers. Tim Hopper showed how he builds and deploys software from his phone while walking, then asks the agent to email him when the work finishes.
Episode 8 presented 8 skills and 7 workflows. The companion repo currently packages 3 of those skills and 2 workflows. See the complete Episode 8 inventory, Chip’s field notes, Tim’s field notes, and their guest dossiers: Chip Huyen, Tim Hopper.
Previous episode: Greg Ceccarelli, Han-Chung Lee
Greg Ceccarelli showed Lore mining 516 saved agent sessions for recurring practices, and Dead Reckon keeping coding agents in bounded loops until hidden checks pass. Han-Chung Lee showed SkillsBench evaluating complete model-and-harness combinations, then a nightly Codex job linking concepts across his multilingual Obsidian vault.
Episode 7 presented 4 skills and 9 workflows. The companion repo currently packages 2 of those skills and 4 workflows. See the complete Episode 7 inventory, Greg’s field notes, Han’s field notes, and their guest dossiers: Greg Ceccarelli, Han-Chung Lee.
Installation (npx skills)
You can install the skills in this repo with:
npx skills add https://github.com/hugobowne/show-us-your-agent-skills
Install one skill only:
npx skills add https://github.com/hugobowne/show-us-your-agent-skills --skill explain
Check for updates:
npx skills check
npx skills update
These skills are snapshots from the corresponding live streams. Creators often iterate on their own versions afterwards, so check each skill’s README for instructions to pull the latest from the creator when one is linked.
Episode 1: Wes McKinney, Jeremiah Lowin, Randy Olson
Field notes: Wes McKinney, Jeremiah Lowin, Randy Olson.
| Skill | What it does | Guest | Watch |
|---|---|---|---|
| explain | Agent narrates what it just did, like a teammate handing off. | Jeremiah Lowin (Prefect, FastMCP) | 00:46:14 |
| github-reply | Replies to GitHub contributors in your voice, no “Great work, but rejected” sandwiches. | Jeremiah Lowin (Prefect, FastMCP) | 00:54:08 |
| ship-it | Re-trains “ship it” to mean open a PR, not merge. | Jeremiah Lowin (Prefect, FastMCP) | 00:54:52 |
| high-signal-chart-workflow | Turns a one-line idea into a Tufte-style chart, with an LLM-as-judge verifier loop. | Randy Olson (Goodeye Labs, r/dataisbeautiful) | 01:12:37 |
| 8-bit-video-gen | Turns guest headshots into short 8-bit pixel-art video clips for livestream intros and cutaways. | Show Us Your Agent Skills | Episode 1 |
| Workflow | What it does | Guest | Watch |
|---|---|---|---|
| agentic-software-factory | Run several agent projects in parallel while background review agents read every commit and maintain a fix queue. | Wes McKinney (Posit, pandas) | 00:27:14 |
| second-brain | Feed a personal agent memory with daily voice memos and use an editable memory substrate for asynchronous work. | Jeremiah Lowin (Prefect, FastMCP) | 00:35:50 |
Episode 2: Hilary Mason, Bryan Bischof, Eric Ma, Tomasz Tunguz
Field notes: Hilary Mason, Bryan Bischof, Eric Ma, Tomasz Tunguz.
| Skill | What it does | Guest | Watch |
|---|---|---|---|
| prompt-refinement | Interview the user’s intent, ask for three variations at different magnitudes of change, score against a rubric you wrote up front. | Hilary Mason (Hidden Door) | 01:01:00 |
| marimo-pair | A coding agent drives a reactive Marimo notebook through a bash bridge into the Python kernel, for human-in-the-loop EDA. | Eric Ma (Moderna) | 00:11:57 |
| Workflow | What it does | Guest | Watch |
|---|---|---|---|
| agentic-eda | Human-in-the-loop EDA: agent renders the next plot, human picks the next question, every claim backed by an artifact. | Eric Ma (Moderna) | 00:23:27 |
| eval-driven-charts | Build an agent-facing chart library by generalising eval failures into features; the package can never regress on an eval it once passed. | Bryan Bischof (Theory Ventures) | 01:25:11 |
| weekly-gremlins | Three agent personas pull from a bad-ideas backlog, pitch and critique each other, and write design docs for moonshots no roadmap would schedule. | Hilary Mason (Hidden Door) | 01:14:20 |
| local-first-agents | Default to a local model and thin harness, reaching for cloud inference only for named exceptions. | Tomasz Tunguz (Theory Ventures) | 02:07:42 |
Episode 3: Matthew Honnibal, Eleanor Berger, Nico Gerold, Alan Nichol, Vincent Warmerdam, Paul Iusztin
Field notes: Matthew Honnibal, Eleanor Berger, Nico Gerold, Alan Nichol, Vincent Warmerdam, Paul Iusztin.
| Skill | What it does | Guest | Watch |
|---|---|---|---|
| try-except | Reads a Python codebase and tightens every try/except so the try covers only what can fail and the except catches the right exception. |
Matthew Honnibal (spaCy, Explosion) | 00:12:09 |
| pre-mortem | Reads production code, finds where it is fragile, and writes post-mortems for bugs that have not happened yet but a plausible change could introduce. | Matthew Honnibal (spaCy, Explosion) | 00:14:10 |
| mutation-testing | Measures test-suite strength by introducing deliberate bugs one at a time and reporting which ones no test caught. | Matthew Honnibal (spaCy, Explosion) | 00:14:10 |
| here-now | Publishes HTML pages, files, and whole sites to live URLs without leaving the terminal. | Eleanor Berger (Jimini Health) | 00:45:55 |
| anki-connect | Drives Anki through the AnkiConnect API, gating every note- or card-modifying operation behind explicit confirmation. | Eleanor Berger (Jimini Health) | 00:49:46 |
| impeccable | Hands a coding agent a full frontend design language so it builds production-grade interfaces instead of generic ones. | Eleanor Berger (Jimini Health) | 00:50:02 |
| youtube-watch-later-gist-summaries | Reads your YouTube Watch Later playlist, summarises every video from its transcript, and publishes each summary as a secret gist. | Eleanor Berger (Jimini Health) | 00:52:57 |
| thread-postmortem | Introspects a thread that went sideways, traces each misstep to the instruction behind it, and proposes edits biased toward deletion. | Nico Gerold (Sourcegraph, Amp) | 01:59:04 |
| remotion-video | Encodes a builder’s design judgment for programmatic video, so Claude turns a few minutes of recorded audio into a finished explainer. | Alan Nichol (Rasa) | 02:46:00 |
| research | Builds and queries a persistent LLM-curated research wiki from Obsidian, Readwise, NotebookLM, GitHub repos, and supplied sources. | Paul Iusztin (Decoding AI) | 02:19:52 |
| Workflow | What it does | Guest | Watch |
|---|---|---|---|
| personal-agent-harness | Run a personal agent on isolated spare hardware, reachable through Discord or WhatsApp, with autonomy granted gradually. | Eleanor Berger (Jimini Health) | 00:47:50 |
Vincent Warmerdam’s segment uses notebooks as a shared canvas for humans and agents; his Marimo Pair skill shipped in Episode 2 (marimo-pair).
Episode 4: Hamel Husain, Chris Fonnesbeck, Doug Turnbull
Field notes: Hamel Husain, Chris Fonnesbeck, Doug Turnbull.
| Workflow | What it does | Guest | Watch |
|---|---|---|---|
| skill-scepticism | Review shared agent skills before trusting, adapting, replacing, or rejecting them. | Hamel Husain (Parlance Labs) | 00:22:32 |
| plan-review-implementation-review | Ask an agent for a plan, audit it with review plans, implement only after the plan is clean, then audit the finished code with review implementation. |
Chris Fonnesbeck (PyMC Labs) | 01:05:53 |
| auto-research-agentic-search | Let an agent experiment with search-code patches while hidden validation decides what survives. | Doug Turnbull | 01:41:07 |
Episode 5: John Berryman, Isaac Flath, Matt Palmer
Field notes: John Berryman, Isaac Flath, Matt Palmer.
| Skill | What it does | Guest | Watch |
|---|---|---|---|
| wikipedia-discovery | Opens and searches the current Wikipedia page from a page-local agent affordance, then highlights the requested passage. | John Berryman (Arcturus Labs) | 00:24:13 |
| formatting-notion-pages | Formats Notion pages through the Notion MCP with block types, rich text, tables, callouts, colors, and API constraints. | Matt Palmer (Conductor) | 01:41:31 |
| project-planning | Plans MVP-first software projects, researches libraries with subagents, and prefers official scaffolds, Bun, shadcn/ui, and prebuilt tools. | Matt Palmer (Conductor) | 01:38:45 |
| writing-revision | Revises general and technical writing through shared references for clarity, structure, reader fit, and factual preservation. | Matt Palmer (Conductor) | 01:43:03 |
| writing-style | Cuts throat clearing, clutter, weak prose, and AI tells with Isaac’s Zinsser-first style rules while keeping personality. | Isaac Flath | 01:30:51 |
| Workflow | What it does | Guest | Watch |
|---|---|---|---|
| agents-that-follow-you | Move a portable agent harness with the human across apps, websites, and physical places, picking up each environment’s local affordances. | John Berryman (Arcturus Labs) | 00:17:56 |
| agent-editable-video-timelines | Edit video through a human timeline while exposing the same tracks, timestamps, transcripts, and tools to an agent. | Matt Palmer (Conductor) | 00:54:20 |
| personal-tools-that-dont-die | Keep personal tools alive by versioning them, running them in agent workspaces, fixing them in worktrees, and moving skills between projects. | Matt Palmer (Conductor) | 00:49:06 |
| human-editable-ai-artifacts | Generate rich artifacts such as HTML reports, markdown presentations, diagrams, and drafts while preserving a manual editing surface. | Isaac Flath | 01:15:10 |
Episode 6: Matt Rocklin, Skylar Payne
Field notes: Matt Rocklin, Skylar Payne.
| Skill | What it does | Guest | Watch |
|---|---|---|---|
| hermes-workflows-creating | Creates Hermes workflows with agent steps, human review checkpoints, artifacts, parallel work, and trigger-driven execution. | Skylar Payne (Wicked Data) | 01:04:49 |
| Workflow | What it does | Guest | Watch |
|---|---|---|---|
| agent-feedback-systems | Plan long agent turns by defining feedback before work starts, giving agents observability, and closing with fresh-agent review. | Matt Rocklin (Dask, Coiled) | 00:22:34 |
| company-context-agents | Give agents legal, accounting, customer, product, and engineering context so they can reason across company functions. | Matt Rocklin (Dask, Coiled) | 00:14:23 |
| personal-agent-operations | Run an always-on personal agent for community operations, artifacts, memory, and admin work that can continue away from the laptop. | Skylar Payne (Wicked Data) | 00:45:36 |
| hermes-dynamic-workflows | Make agent procedures executable with Python workflow code, typed outputs, human ask(...) checkpoints, artifacts, and triggers. |
Skylar Payne (Wicked Data) | 01:03:48 |
More from us
Vanishing Gradients is a podcast, workshop series, blog, and newsletter focused on what you can build with AI right now. Over 70 episodes with expert practitioners from Google DeepMind, Netflix, Stanford, and elsewhere. Hundreds of hours of free, hands-on workshops. All independent, all free. Subscribe on Substack.
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