AugmentClaude
Dashboards

Report

By evo-hq· evo-hq/evo· 0

Display experiment scores and status as a colored chart in your terminal.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.
    Install
    Sign up to copy
    Sign up free to reveal

    This copies the whole skill folder into ~/.claude/skills/report-evo-hq/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
    Sign up free to reveal
  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Print the dashboard's dot chart (score over experiment order, status colors, best-path stair) inline in the terminal for every run in the workspace. Use when the user invokes /evo:report, asks for a quick score chart without opening the dashboard, or wants the scatter plot in chat output.

What this skill does

Report

Render the dashboard's scatter plot as a colored terminal block, one chart per run, sized to the current terminal.

What it shows

Mirrors the web dashboard's score scatter (left rail of evo dashboard):

  • X = experiment creation order, Y = score
  • Dot color by status: green = committed, red = failed, purple = active, grey = pending / evaluated / discarded / pruned
  • ★ marks the current best committed experiment
  • Yellow ring on dots that sit on the best-path spine (root → best)
  • Yellow stair line traces cumulative-best across committed experiments
  • ○ at the baseline for experiments that have no score yet (active / pending)

Every run in the workspace is rendered, stacked top-to-bottom, with a header line showing run_id · target · metric.

How to invoke

Run:

evo report

That is it. Print the output verbatim in your reply so the user sees the chart. Do not summarize the chart in prose — the visual is the point.

Flags:

  • --color always|never|auto — force or suppress ANSI color. Default auto (color when stdout is a TTY). Pass --color always if you are piping through a host that strips TTY but renders ANSI in chat.
  • --watch [SECONDS] — live-refresh mode (like nvidia-smi -l). Re-reads the workspace every N seconds (default 2) and redraws in place. Ctrl-C to exit. Use this when you want to babysit a running optimization without manually re-invoking the report.

When not to use

  • For one-off score lookups, evo status or evo show <id> is faster.
  • For navigating the tree shape, evo tree is the right command.
  • For interactive exploration (click a dot, open a drawer), point the user at evo dashboard instead.

Related skills

I

Investor Board Deck Builder

alirezarezvani

Build compelling board decks that weave metrics and narratives into cohesive investor updates.

MIT
C

ckm:slides

nextlevelbuilder

Create strategic HTML presentations with charts, responsive layouts, and copywriting optimization.

E

Excel Data Dashboard

iOfficeAI

Build multi-chart Excel dashboards with KPI cards and conditional formatting from CSV data.

F

Financial Model Builder

iOfficeAI

Build Excel financial models including DCF, LBO, unit economics, and scenario analysis.