Easel.ly vs Signal Loom

Easel.ly has no write-up on Specifiction yet; its figures are above.

Signal Loom is an open-source local skill package for turning research materials into evidence-traceable infographics. It accepts reports, notes, datasets, interviews, or existing infographics together with an intended audience and purpose. The default result is a semantic, responsive web infographic; an approved story can be reconstructed for carousels or other requested formats. Each project creates a Loomfile folder containing evidence, claims, story, visual plan, infographic, review records, and checkpoints. Its workflow runs through ORIENT, SHAPE, PLAN, BUILD, FINISH, DISTRIBUTE, and VERIFY. The repository documents Codex and Claude Code as host environments, with installation by cloning the repository into the host’s personal skills directory. Included Python tools use the standard library, make no network calls, and contain no telemetry. Signal Loom does not independently verify truth, refresh facts without authorization, approve its own work, or publish artifacts. Static checks cannot establish factual accuracy, accessibility, security, or professional fitness.