rsvp-reading

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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.

2installs

Sourcerichfrem/agent-plugins-skills

Added on2026-03-08

NPX Install

npx skill4agent add richfrem/agent-plugins-skills rsvp-reading

SKILL.md Content

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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:

Input file path - What file should be parsed? (
```
.txt
```
,
```
.md
```
,
```
.pdf
```
,
```
.docx
```
)
WPM - Reading speed in words-per-minute. Default:
```
300
```
. Range:
```
100-1000
```
.
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

bash

python3 plugins/rsvp-speed-reader/skills/rsvp-reading/scripts/parse_document.py \
  --input <file_path> \
  --output /tmp/rsvp_words.json

Step 2: Generate Token Stream

bash

python3 plugins/rsvp-speed-reader/skills/rsvp-reading/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

:

json

{"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:

Open the reading session with the
```
rsvp-comprehension-agent
```
Adjust WPM and regenerate
Parse a different document