codex

Dyslex.ai

Evidence-aware cognitive accessibility skills plugin for AI agents. Reduces interaction friction without diagnosis claims.

8 on GitHubby Firouv0.3.9Apache-2.0updated 2 months agoProductivity

Plugin dyslex-ai in Firou91/dyslex.ai. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (16)

  • accessible-response

    Adapt an AI response for dyslex.ai readability. Use when a user asks for clearer, easier-to-read, less overwhelming, more structured, or accessibility-oriented wording without losing technical detail.

  • accessible-superpowers

    Orchestrate dyslex.ai with Superpowers. Use when Superpowers workflows, plans, brainstorming, debugging, TDD, code review, or finishing gates need to be presented more accessibly without weakening Superpowers.

  • code-explainer

    Explain source code in accessible layers. Use when the user asks what code does, how it flows, where inputs and outputs are, or why an error may happen.

  • context-reentry

    Help resume interrupted work. Use after compaction, pause, context loss, task switching, or when the user asks where things stand and what to do next.

  • decision-comparator

    Compare options in a stable accessible format. Use when choosing between tools, designs, plans, versions, architectures, or when the user asks for a forced recommendation.

  • diff-reader

    Explain Git diffs accessibly. Use when the user shares a diff, patch, pull request change, or asks what changed, what risk exists, or what tests are needed.

  • documentation-navigator

    Help read large documentation sets. Use when the user asks where to look, which docs apply, what is required vs recommended, or how to navigate official specifications.

  • error-decoder

    Convert raw errors into clear explanations. Use for stack traces, compiler errors, test failures, runtime errors, terminal output, or logs where the user needs cause, location, next check, and command guidance.

  • identifier-safety

    Protect technical identifiers from automatic correction. Use during rewriting, typo handling, proofreading, diffs, terminal output summaries, code explanations, or any task containing commands, paths, URLs, package names, variables, hashes, keys, or regexes.

  • instruction-decoder

    Decode complex or dense instructions into a clear sequence. Use when a user asks what a prompt, task, spec, issue, or instruction means, or when constraints need to be made explicit.

  • number-and-date-clarifier

    Clarify ambiguous dates, times, versions, units, decimal separators, ranges, percentages, and durations. Use when numeric interpretation can materially change the answer or implementation.

  • prompt-clarifier

    Identify only material ambiguities in a user prompt. Use when a request may have multiple outcomes, unclear scope, missing constraints, or confusing references, but avoid unnecessary interrogation.

  • spelling-and-writing-support

    Correct, proofread, or reformulate user text. Use for spelling, grammar, dysorthography support, professional rewriting, simplification, tone preservation, or showing differences.

  • task-sequencer

    Break an objective into small ordered tasks with dependencies, checks, and a next action. Use for planning, task tracking, resuming work, or reducing cognitive load.

  • terminal-output-reader

    Summarize long terminal output without hiding failures. Use for build logs, test output, install logs, stack traces, warnings, exit codes, or noisy command output.

  • typo-tolerant-intent

    Infer likely user intent from typos, spelling errors, dysorthography, or malformed wording. Use when the request has mistakes but the likely task is still clear; preserve technical tokens exactly.

View source on GitHub

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