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Infographics

  • 108 installs
  • 3.6k repo stars
  • Updated August 5, 2026
  • basicmachines-co/basic-memory

infographics is a Claude skill that generates evidence-grounded PR, changelog, release, and weekly repository images from the Basic Memory PR body via an OpenAI image script.

About

This skill generates repository visuals (PR, changelog, release, and 2-week weekly images) grounded in evidence from the PR body or a changelog evidence pack. It runs an image-generation script that produces image-first editorial scenes and writes them to canonical webp paths. A developer uses it to attach visuals to PRs and releases without hand-writing claims not present in the source.

  • Generates PR, changelog, release, and weekly repository images from evidence in the PR body
  • Writes to canonical output paths under docs/assets/infographics/ (pr-<number>.webp, changelog.webp, weekly windows)
  • Uses an OpenAI image-generation script with a deterministic BM style pool and provenance block

Infographics by the numbers

  • 108 all-time installs (skills.sh)
  • Ranked #781 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

infographics capabilities & compatibility

Capabilities
image generation · changelog visuals · release visuals
Works with
github · openai
Use cases
image generation · marketing
From the docs

What infographics says it does

Generate repository visuals with evidence-grounded content and canonical output paths.
SKILL.md
`--dry-run` is an alias for `--print-prompt`; both print the final prompt and exit without calling OpenAI.
SKILL.md
npx skills add https://github.com/basicmachines-co/basic-memory --skill infographics

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Listed on Skillselion
Installs108
repo stars3.6k
Last updatedAugust 5, 2026
Repositorybasicmachines-co/basic-memory

What it does

Generate evidence-grounded PR, changelog, release, or weekly repository images.

Who is it for?

Producing PR, changelog, release, and weekly images tied strictly to evidence in the PR body or changelog.

Skip if: Text-heavy infographics or hand-written claims not present in the source PR body.

When should I use this skill?

Generating Basic Memory PR, changelog, release, or weekly images from Codex.

What you get

A webp image at a canonical path plus a provenance block recording model, size, theme source, and visual direction.

  • pr-<number>.webp
  • changelog.webp
  • weekly window image

By the numbers

  • 10+ BM style categories in the pool
  • always a 2-week retro window for weekly images

Files

SKILL.mdMarkdownGitHub ↗

Basic Memory Images

Generate repository visuals with evidence-grounded content and canonical output paths. The file and marker names still say "infographic" for compatibility, but PR generation is image-first: scene, poster, painting, photograph, cover, tableau, staged artifact, or another editorial visual moment that describes the intent of the PR. PR images are non-gating BM Bossbot artifacts; changelog and release-summary images are manual evidence-pack workflows.

Output Contract

  • Base output directory: docs/assets/infographics/
  • PR image: docs/assets/infographics/pr-<number>.webp
  • Changelog image: docs/assets/infographics/changelog.webp
  • Weekly image:
  • This is always a 2-Week Retro window: previous ISO week through current ISO

week (start-week = current-week - 1, end-week = current-week).

  • Same year window: docs/assets/infographics/<year>-w<start-week>-w<end-week>.webp
  • Cross-year window:

docs/assets/infographics/<start-year>-w<start-week>-<end-year>-w<end-week>.webp

PR Mode

PR mode uses the BM Bossbot summary block as source material. Do not hand-write claims that are not present in the PR body.

1. Fetch the PR body:

gh pr view <number> --json body --jq '.body // ""' > /tmp/bm-pr-body.md

2. Generate the canonical asset:

uv run --script scripts/generate_pr_infographic.py \
  --pr-number <number> \
  --pr-body-file /tmp/bm-pr-body.md \
  --theme "<optional visual theme>" \
  --provenance-output /tmp/bm-infographic-provenance.md \
  --output docs/assets/infographics/pr-<number>.webp

If the PR body contains a managed image theme block, the script reads it automatically:

<!-- BM_INFOGRAPHIC_THEME:start -->
<theme>
<!-- BM_INFOGRAPHIC_THEME:end -->

Before spending an image call, test the prompt path locally:

uv run --script scripts/generate_pr_infographic.py \
  --pr-number <number> \
  --pr-body-file /tmp/bm-pr-body.md \
  --theme "<optional visual theme>" \
  --output docs/assets/infographics/pr-<number>.webp \
  --print-prompt

--dry-run is an alias for --print-prompt; both print the final prompt and exit without calling OpenAI.

When no theme is supplied, the script selects a deterministic BM visual direction from the style pool below based on the PR number and Bossbot summary. This keeps repeated PR images from collapsing into the same generic visual.

When the image is generated, also write provenance with --provenance-output <path>. BM Bossbot publishes that managed block into the PR body with these markers:

<!-- BM_INFOGRAPHIC_PROVENANCE:start -->
...
<!-- BM_INFOGRAPHIC_PROVENANCE:end -->

The provenance block records the generated asset path, image model, size, quality, image mode, theme source, and selected visual direction. It intentionally does not dump the full generated prompt into the PR body. Treat this block as debugging and creative provenance only; it is not a merge gate.

The PR image is visual support only. The authoritative merge gate is the GitHub commit status named BM Bossbot Approval.

Changelog Mode

Build an evidence pack before writing a prompt:

  • diff truth source: merged PR diffs, merge commits, or local reconstructed diffs
  • changed-file orientation: git diff --stat plus key file reads
  • impact ledger: before/after outcomes tied to actual changes
  • discard list: misleading titles, reverted work, rename-only churn, speculative TODOs
  • chosen image form: poster, scene, tableau, cover, painting, photograph,

staged artifact, or another editorial visual moment

  • chosen BM style category: exactly one category from the selection pool below

Read these references before drafting the prompt:

  • references/prompt-blueprint.md
  • references/style-balance.md

Read the current CHANGELOG.md entries and include the latest meaningful changes.

Style And Category Selection

Select exactly one BM style category per image based on semantic fit. The visual language should be recognizable and tasteful, while staying business-readable.

Create an image-first visual form that communicates the change: poster, scene, tableau, cover image, painting, photograph, staged artifact, or another editorial visual moment. Maps, diagrams, dossiers, charts, and labels can appear as props inside the scene, but do not make a text-heavy infographic.

BM category pool:

  • computer science college textbooks: SICP-style diagrams, algorithms lectures,

compiler pipelines, automata, database systems, type theory, operating systems

  • classic literature subjects: sea voyages, gothic manors, Dickensian city maps,

Austen social graphs, library marginalia, travel journals

  • fantasy/D&D-inspired: quest maps, dungeon keys, guild ledgers, spellbooks,

bestiaries, tavern notice boards; no copyrighted settings

  • Music: Metal, Hard Rock, Punk, techno, soul, reggae bands; no pop music, no

direct band logos, album covers, or musician likenesses

  • sci-fi: Star Wars inspired knockoff, Spaceballs-adjacent space opera, fleet

routes, mission consoles, contraband manifests; avoid copyrighted characters, logos, or named fictional universes

  • Conan the barbarian-inspired sword-and-sorcery: ruined temples, desert routes,

battle standards, ancient maps; no named character likenesses

  • Comic books: issue covers, splash pages, action-panel maps, caption boxes,

halftone energy, clean sound-effect typography

  • French new wave movies: poster style, stark typography, city route maps,

jump-cut sequencing, high-contrast editorial photography cues

  • WWII propaganda posters: home-front public-information poster language,

logistics arrows, ration charts, mobilization maps, bold simplified figures; no real-world party symbols, hate imagery, dehumanizing slogans, or false historical claims

  • Italian movie posters: hand-painted drama, bold credits, expressive color,

route-map collage, 1960s or 1970s cinema energy; no direct film titles or actor likenesses

  • Shakespeare: stage maps, acts and scenes, dramatis personae, royal courts,

backstage cue sheets

  • Greek mythology: temple diagrams, constellation routes, hero's journey maps,

oracle tablets, labyrinths, ship routes

  • noir detective boards: case files, red-string maps, typed evidence labels,

precinct wall charts

  • NASA mission-control dashboards: launch timelines, telemetry maps, orbital

routes, status boards

  • space exploration and astronomy: celestial atlases, observatory charts,

star-field maps, orbital mechanics diagrams, planetary survey routes, telescope annotations, mission trajectories, deep-space timelines

  • paintings: abstract painting, classical landscape, Remington-inspired western

action painting, Rembrandt-inspired chiaroscuro, historical mural, stormy seascape, allegorical editorial painting

  • classic black-and-white photography: documentary field report, newsroom

archive print, editorial photo essay, street photography, high-contrast darkroom print, contact sheet, civic infrastructure photograph

  • 80's action movies: practical explosions, smoky backlit warehouses, neon city

streets, helicopter searchlights, mission dossiers, heroic silhouettes, high-stakes countdowns, painted ensemble posters; no direct actor likenesses, real film titles, franchise marks, or catchphrases

  • alchemy manuscripts: transformation diagrams, annotated symbols, recipe-like

process maps, illuminated margins

  • brutalist civic planning: transit maps, concrete signage, zoning blocks,

infrastructure diagrams

Selection rules:

  • Pick one category only; do not create mixed mashups.
  • Pick the most appropriate image form. Prefer an actual scene, poster,

painting, photograph, tableau, or cover over a text-heavy infographic.

  • Match metaphor to content, but do not overthink it. The category is a creative

catalyst, not a semantic constraint.

  • Use a polished editorial rendering direction: smooth anti-aliased

text, high contrast, clean edges, readable labels.

  • Make the category drive the composition through a readable staged moment,

editorial composition, symbolic environment, route, artifact, or visual metaphor.

  • Keep the structure literal enough to aid understanding, but not so heavy that

it obscures engineering meaning.

  • Give the image generator creative latitude on layout, structure, color palette,

and visual metaphors. Be precise about what content to show, loose about how to show it.

  • Do not use copyrighted characters, logos, or named fictional universes. Use

genre cues, knockoffs, and original compositions instead.

Content-First Aesthetic Contract

The meaning must be readable and clearly hierarchical. Everything else is creative territory: image form, layout, visual metaphors, decorative elements, color choices, and category-specific visual language.

Hierarchy:

1. Meaning: what shipped, what changed, and why it matters must be clear. 2. If the image uses text, labels, sections, or evidence bullets, they must be legible. 3. The selected category's visual DNA should drive the composition as a poster, scene, painting, photograph, tableau, cover, or symbolic object arrangement. 4. Do not play it safe. A visually striking image that someone wants to look at beats a correct but boring one.

Hard rules:

  • Content sections and labels must be readable when present. Text cannot be

obscured by decorations.

  • Do not use lore-heavy copy that competes with engineering or business meaning.
  • Every prompt must include a clear image-first composition cue: a staged scene,

poster composition, painting, photograph, symbolic tableau, hero object, mission room, dossier, artifact, route, or visual metaphor.

  • Do not over-prescribe exact coordinates or panel geometry; give a composition

backbone and let the model compose around it.

Generation

1. Write the final prompt to a temporary markdown file. 2. Generate with the shared image helper:

uv run --script scripts/generate_infographic.py \
  --prompt-file /tmp/bm-infographic-prompt.md \
  --output docs/assets/infographics/<name>.webp

3. Verify the image exists and is readable before reporting success.

Quality Bar

  • Tell a concrete before/after value story, not vague improvement claims.
  • Stay understandable for both engineers and non-technical stakeholders.
  • Use plain-language section titles and labels when text is present.
  • Include clear visual hierarchy: title, staged focal point, symbolic scene,

evidence props, or hero object.

  • Avoid invented facts; only use provided source material.
  • Favor shipped outcomes over intermediate or reverted work.
  • Preserve readability with high contrast, non-tiny labels, and uncluttered

layout.

Related skills

FAQ

Where are images written?

To canonical paths under docs/assets/infographics/, e.g. pr-<number>.webp and changelog.webp.

Can I preview the prompt before spending an image call?

Yes. Run the script with --print-prompt (aliased as --dry-run) to print the final prompt and exit without calling OpenAI.

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