The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Dyslex.ia listing page.
Dyslex.ai is a cognitive accessibility skills plugin for AI agents.
It helps agents reduce friction across the human-AI interaction loop: expressing intent, reconstructing meaning from imperfect wording, preserving technical detail, managing cognitive load, and presenting the next action clearly.
Dyslex.ai does not diagnose disability, provide medical advice, or claim medical benefit.
Dyslex.ai is a skills-only plugin with an evidence-aware cognitive model.
The plugin contributes reusable Agent Skills through:
When a matching task appears, the agent can use the relevant skill to reduce a specific functional friction. The project maps evidence-informed mechanisms to interaction risks, then to concrete agent behavior.
The goal is not to replace the agent's reasoning or Superpowers workflow. The goal is to make that workflow easier to follow, safer to resume, and harder to misread.
Every skill starts with a Superpowers gate. If Superpowers is missing or uncertain, the agent must stop and ask the user to install Superpowers before applying Dyslex.ai.
Primary path, after public availability:
Search for:
CLI install, when available from the configured marketplace:
Fallback if Dyslex.ai is not visible in the public plugin directory yet:
Start a new Codex session after installation so the skills are loaded.
The npm package is published as:
The CLI command is:
Dyslex.ai currently includes 16 skills, plus a shared cognitive model for evidence, functional dimensions, and adaptation rules.
accessible-response: reshape answers into clearer blocks without losing detail.spelling-and-writing-support: correct, proofread, or reformulate text while preserving tone.typo-tolerant-intent: infer likely intent from typos or malformed wording.identifier-safety: protect paths, commands, URLs, package names, variables, hashes, and regexes.error-decoder: turn raw errors, stack traces, and logs into clear explanations.terminal-output-reader: summarize noisy terminal output without hiding failures.diff-reader: explain changes, risks, and test needs from diffs or patches.code-explainer: explain source code in accessible layers.instruction-decoder: unpack dense prompts, issues, specs, or task descriptions.prompt-clarifier: ask only the questions that materially change the result.task-sequencer: break work into ordered steps with dependencies and checks.decision-comparator: compare options and provide a clear recommendation when needed.number-and-date-clarifier: clarify ambiguous dates, units, versions, decimals, and ranges.context-reentry: resume interrupted work after pauses, compaction, or task switching.documentation-navigator: identify which docs matter and what is required versus recommended.accessible-superpowers: present Superpowers workflows more accessibly without weakening them.Dyslex.ai is built around a simple rule: accessibility should reduce cognitive friction without reducing technical precision or user autonomy.
That means:
The project is not trying to make agents softer or less rigorous. It is trying to make rigorous work easier to read, resume, and verify.
The first research and architecture report is available in DYSLEX.AI — Scientific Interaction Model.
The model avoids diagnosis-based modes. It uses functional dimensions such as:
Here is how we connect the very minimal visual identity to Dyslex.ai's role, name, and philosophy.
Read the full visual identity notes in Identity.
Publishing and maintaining Dyslex.ai across public agent ecosystems costs time and API tokens. Making an accessibility plugin publicly available usually requires repeated review passes, test runs, model-specific validation, and ongoing compatibility checks.
Codex is already covered as the first public deployment target.
Community support will guide the next deployment targets:
You can support the project by: