Skip to main content

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.

ソース情報

リポジトリ
paralleldrive/aidd
ソースの最終更新活動
2026年5月14日 23:44
検出された SKILL.md の言語
英語
スター
384
フォーク
33

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

ソースファイルを確認

インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

ファイルエクスプローラー
2 ファイル

SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
aidd-rtc
description
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.
# 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.
GitHubで見る