rsvp-reading

name	rsvp-reading
description	Converts an input document (.txt, .md, .pdf, .docx) into a structured RSVP token stream with ORP alignment and configurable WPM. Use when a user wants to speed-read a document, prepare a reading session, or generate a token stream for a speed-reading UI.
disable-model-invocation	false
user-invocable	true
allowed-tools	Bash, Read, Write
dependencies	["pip:docx","pip:pdfminer"]

RSVP Reading Skill

Rapid Serial Visual Presentation (RSVP) is a speed reading method popularized by tools like Spritz. Words are flashed one at a time in a fixed position, while one letter per word is highlighted (typically in red) as an eye anchor — the Optimal Recognition Point (ORP). This eliminates horizontal eye movement, the primary bottleneck of traditional reading, enabling speeds of 200-600+ WPM with solid comprehension.

This skill converts any document into an RSVP token stream: each word paired with its ORP index and a calibrated display delay based on your target WPM.

Full architecture: references/architecture.md Acceptance criteria: references/acceptance-criteria.md Fallback tree: references/fallback-tree.md Token stream schema: references/token-stream-schema.md

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Trigger Conditions

Invoke this skill when the user:

• Says "speed read [file]", "RSVP [file]", or "read [file] at [N] WPM"
• Uploads or references a document and asks to "read it fast"
• Requests a token stream or reading session from a document

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Discovery Phase

Before executing, collect:

1. Input file path - What file should be parsed? (.txt, .md, .pdf, .docx)
2. WPM - Reading speed in words-per-minute. Default: 300. Range: 100-1000.
3. Output format - Where to save the token stream JSON? Default: ./rsvp_output.json

If any are missing, ask for them before proceeding.

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Execution

Step 1: Parse the Document

python3 ./scripts/parse_document.py \
  --input <file_path> \
  --output /tmp/rsvp_words.json

Step 2: Generate Token Stream

python3 ./scripts/orp_engine.py \
  --input /tmp/rsvp_words.json \
  --wpm <wpm> \
  --output <output_path>

Step 3: Confirm Output

Report to the user:

• Total word count
• Estimated reading time at the chosen WPM
• Output file path
• Preview of first 5 tokens

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Output Format

Each token in the stream follows the schema in references/token-stream-schema.md:

{"w": "Hello", "orp": 1, "delay_ms": 200, "is_sentence_end": false, "is_para_end": false}

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Confirmation Gate

Before generating for files > 50,000 words, display:

This document contains ~{word_count} words.
At {wpm} WPM this will take ~{minutes} minutes to read.
Generating token stream (~{token_count} tokens) to {output_path}.
Proceed? [yes/no]

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Next Actions

After successful generation, offer:

1. Open the reading session with the rsvp-comprehension-agent
2. Adjust WPM and regenerate
3. Parse a different document