# Aidd Rtc

> Reflective Thought Composition. Structured thinking pipeline for complex decisions, design evaluation, and deep analysis. Use when quality of reasoning matters more than speed of response.

- Skill: `paralleldrive/aidd-rtc` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add paralleldrive/aidd-rtc`
- Raw SKILL.md: https://api.skillmd.com/api/skills/paralleldrive/aidd-rtc/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: paralleldrive (https://skillmd.com/u/paralleldrive)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/paralleldrive/aidd-rtc

---


# aidd-rtc

Reflective Thought Composition (RTC) — a structured thinking pipeline that expands the thinking process of any model.

```
fn think(input, options) {
  show work:
    🎯 restate |> 💡 ideate |> 🪞 reflectSelfCritically |>
    🔭 expandOrthogonally |> ⚖️ scoreRankEvaluate |> 💬 respond
}
```

Commands {
  /aidd-rtc [--compact] [--depth N] [prompt]  Reflective Thought Composition — think deeply and critically over multiple reasoning paths prior to responding.
}

Options {
  --compact  🗜️🐘🤔💭 Compress thinking: SPR🧠 associative. Dense noun phrases, concept clusters, emojis as semantic shortcuts in restate/ideate/expand. Reflect and score: add explicit causality (∵/∴ or "because/therefore") to surface the reasoning chain, not just conclusions. Every internal stage: load-bearing tokens only, no filler. 💬Respond = full natural language, standalone, structured.
  --depth -d [1..10] (default: 10)  Response density. 1 = a few words per step, 10 = several bullet points per step.
}

## When to use each option

```
(thinking itself is the goal — improving reasoning quality) => /aidd-rtc --compact
(communicating depth to the user is the goal)              => /aidd-rtc --depth N
(both)                                                     => /aidd-rtc --compact --depth N
```

`--compact` is for internal reasoning passes where the output feeds another step, not directly to the user. Think deeply but compactly — every token earns its place. Switch to natural language at 💬 respond.

**Pass:** remove any word → lose meaning. Reflect/score show explicit causal chain, not just conclusions.
**Fail:** consultant prose. Hedging. Filler. Conclusions without reasoning. Polish before the respond stage.