# Speed

> Launch RSVP speed reader for text

- Skill: `techwavedev/speed` (Agent Skill)
- Install (CLI): `npx skillmds@latest add techwavedev/speed`
- Raw SKILL.md: https://api.skillmd.com/api/skills/techwavedev/speed/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: techwavedev (https://skillmd.com/u/techwavedev)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/techwavedev/speed

---


# Speed Reader

Launch the RSVP speed reader to display text one word at a time with Spritz-style ORP (Optimal Recognition Point) highlighting.

## Instructions

1. **Get the text:**
   - If `$ARGUMENTS` is provided, use that text
   - Otherwise, extract the main content from your **previous response** in this conversation

2. **Prepare the content:**
   - Strip markdown formatting (headers, bold, links, code blocks)
   - Keep clean, readable prose
   - Escape quotes and backslashes for JavaScript

3. **Write and launch:**
   - Read `~/.claude/skills/speed/data/reader.html`
   - Replace `<!-- CONTENT_PLACEHOLDER -->` with:
     ```html
     <script>window.SPEED_READER_CONTENT = "your escaped text";</script>
     <!-- CONTENT_PLACEHOLDER -->
     ```
   - Run: `open ~/.claude/skills/speed/data/reader.html`

4. **Confirm:** Tell the user it's opening. Mention `Space` to play/pause.

## Arguments
$ARGUMENTS

---

<!-- AGI-INTEGRATION-START -->

## AGI Framework Integration

> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**
> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)

### Memory-First Protocol

Retrieve prior decisions and patterns to avoid re-discovering solutions. Cache results for instant retrieval in future sessions.

```bash
# Check for prior development context before starting
python3 execution/memory_manager.py auto --query "prior work and patterns related to Speed"
```

### Storing Results

After completing work, store development decisions for future sessions:

```bash
python3 execution/memory_manager.py store \
  --content "Completed task with key insights documented for future reference" \
  --type decision --project <project> \
  --tags speed default
```

### Multi-Agent Collaboration

Share outcomes with other agents so the team stays aligned and avoids duplicate work.

```bash
python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Task completed — results documented and shared with team" \
  --project <project>
```

<!-- AGI-INTEGRATION-END -->