rsvp-reading

SKILL.md

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


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

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.


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

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}

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]

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
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