How do I install the Aeo Board skill?

Run npx skillmds@latest add probelabs/aeo-board 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 Aeo Board safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Aeo Board?

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 Aeo Board free to use?

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

Who published Aeo Board?

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

Aeo Board by probelabs — Agent Skill

Name: Aeo Board
Author: probelabs

File contents

AEO decision board

Two audiences, one command. Humans get markdown. Agents get JSON with the same cells and no prose.

Do not open consumer LLM websites. This skill only reads evidence JSON produced by python3 -m aeo run.

When to use

"Show me a table / scoreboard"
"What should we do with this run?"
"Analyze this AEO evidence"
/aeo-board

Steps

Find the latest evidence file, or use the path they gave. Typical: aeo-data/runs/<run_id>.json or examples/xerj/aeo-data/example-run.json.
Run python3 -m aeo board <file> (optional --format md|html|json). Default writes both:
- aeo-data/boards/<run_id>.md — for humans / decision makers
- aeo-data/boards/<run_id>.json — for agents (schema_version: aeo-cli-board-v1)
Show the markdown board to the human.
If asked to analyze: read the board JSON, not the raw answers first. Summarize only focus gap and search-blind rows. Watch trap rows are expected — mention the tally, do not narrate each miss. Promote a watch query to focus only if evidence shows they started searching or mentioned the brand.
Never invent checkmarks. Recompute from evidence (python3 -m aeo board again if unsure).

Calls

Call	Meaning
`win`	Brand mentioned on search or knowledge.
`gap`	Focus, no brand, they did search.
`search-blind`	Focus, search allowed, they did not search.
`trap`	Watch, no brand (expected).

⚠ = confirmation search (vendors already in the tool-call strings, brand was not). Not discovery.

Full rules: METHODOLOGY.md. Measurement skill: aeo. Turning a board into articles: aeo-playbook. Zero mentions after pages are already live: PLAYBOOK.md §11, not more articles.

A human run write-up is not the board itself. It must follow PLAYBOOK.md §10 (method, live URL check, per-engine×arm table, confirmation vs discovery, search-blind seeds, cannibalize map, waves, refuse list, --only-id re-run). After a zero-mention grid, reason with §9 before drafting. --format html is a view of the board, not a substitute for that artifact. Merge engine files with python3 -m aeo report --html --out report.html a.json b.json.

After the board, the post-run judge (scripts/judge_run.py) can extract vendors from every completed arm — including misses that only name an unlisted product (a surprise, vs the config seed list) — then scripts/render_judge_html.py. See PLAYBOOK.md §12.

---name: aeo-boarddescription: Render and read an AEO decision board (scoreboard + per-query calls) from a local-CLI evidence run. Use when the user wants a table, scoreboard, what we should do, or analysis of an AEO run.---# AEO decision boardTwo audiences, one command. Humans get markdown. Agents get JSON with the same cells and no prose.Do **not** open consumer LLM websites. This skill only reads evidence JSON produced by `python3 -m aeo run`.## When to use- "Show me a table / scoreboard"- "What should we do with this run?"- "Analyze this AEO evidence"- `/aeo-board`## Steps1. Find the latest evidence file, or use the path they gave. Typical: `aeo-data/runs/<run_id>.json` or `examples/xerj/aeo-data/example-run.json`.2. Run `python3 -m aeo board <file>` (optional `--format md|html|json`). Default writes both: - `aeo-data/boards/<run_id>.md` — for humans / decision makers - `aeo-data/boards/<run_id>.json` — for agents (`schema_version: aeo-cli-board-v1`)3. Show the markdown board to the human.4. If asked to analyze: read the **board JSON**, not the raw answers first. Summarize only focus `gap` and `search-blind` rows. Watch `trap` rows are expected — mention the tally, do not narrate each miss. Promote a watch query to focus only if evidence shows they started searching or mentioned the brand.5. Never invent checkmarks. Recompute from evidence (`python3 -m aeo board` again if unsure).## Calls| Call | Meaning || --- | --- || `win` | Brand mentioned on search or knowledge. || `gap` | Focus, no brand, they did search. || `search-blind` | Focus, search allowed, they did not search. || `trap` | Watch, no brand (expected). |`⚠` = confirmation search (vendors already in the tool-call strings, brand was not). Not discovery.Full rules: [METHODOLOGY.md](../../METHODOLOGY.md). Measurement skill: [aeo](../aeo/SKILL.md). Turning a board into articles: [aeo-playbook](../aeo-playbook/SKILL.md). Zero mentions after pages are already live: [PLAYBOOK.md](../../PLAYBOOK.md) §11, not more articles.A human run write-up is not the board itself. It must follow [PLAYBOOK.md](../../PLAYBOOK.md) §10 (method, live URL check, per-engine×arm table, confirmation vs discovery, search-blind seeds, cannibalize map, waves, refuse list, `--only-id` re-run). After a zero-mention grid, reason with §9 before drafting. `--format html` is a view of the **board**, not a substitute for that artifact. Merge engine files with `python3 -m aeo report --html --out report.html a.json b.json`.After the board, the post-run judge (`scripts/judge_run.py`) can extract vendors from every completed arm — including misses that only name an unlisted product (a **surprise**, vs the config seed list) — then `scripts/render_judge_html.py`. See [PLAYBOOK.md](../../PLAYBOOK.md) §12.

Frequently asked questions

Aeo Board