ワンクリックでManusで任意のスキルを実行

ae-proof-agent

Diligence-grade product and technical analysis for the ae.ltd proof-agent concept, including comparison against Cursor and Omnara, MVP and production architecture, red-team review, and build-vs-buy evaluation. Use when Codex needs to create or critique PRDs, tech specs, competitive diligence, leadership memos, or multi-agent evaluation packs for agent-runtime, demo-agent, or proof-agent products.

Manusで実行

概要

インストールコマンド

npx skills add https://github.com/aegntic/cldcde --skill ae-proof-agent

このコマンドをClaude Codeにコピー＆ペーストしてスキルをインストール

ソース

aegntic/cldcde

スター10

フォーク2

更新日2026年3月13日 17:46

ファイルエクスプローラー

24 ファイル

SKILL.md

readonly

name	ae-proof-agent
description	Diligence-grade product and technical analysis for the ae.ltd proof-agent concept, including comparison against Cursor and Omnara, MVP and production architecture, red-team review, and build-vs-buy evaluation. Use when Codex needs to create or critique PRDs, tech specs, competitive diligence, leadership memos, or multi-agent evaluation packs for agent-runtime, demo-agent, or proof-agent products.

ae-proof-agent

Read references/RESEARCH-GUARDRAILS.md first.

Then use the bundle in this order:

Read references/COMPETITIVE-DILIGENCE.md.
Use references/PRD.md and references/TECHSPEC.md as the base spec.
Run the prompt chain in prompts/ when generating comparable multi-agent outputs.
Score outputs with templates/SCORECARD.md.
Assemble the final memo with templates/FINAL-REPORT-OUTLINE.md.

Rules:

Separate Verified, Inference, and Unknown.
Do not invent backend details, customer metrics, or infra choices.
Use exact dates for recent releases and product changes.
Prefer primary sources when browsing is required.
Optimize for decision quality, not volume.

Use the prompt chain like this:

prompts/01-DISCOVERY.md for a source-grounded brief
prompts/02-PRD.md for product requirements
prompts/03-TECHSPEC.md for implementation planning
prompts/04-REDTEAM.md for failure analysis
prompts/05-SYNTHESIS.md for the final leadership memo

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ソース

aegntic

aegntic/cldcde

GitHub リポジトリを開く Creator のリポジトリを見る

インストールコマンド

ダウンロード

Manusで実行

役立つ用途SOC

ソフトウェア開発者コンピュータ・数学職15-1252L4

name	ae-proof-agent
description	Diligence-grade product and technical analysis for the ae.ltd proof-agent concept, including comparison against Cursor and Omnara, MVP and production architecture, red-team review, and build-vs-buy evaluation. Use when Codex needs to create or critique PRDs, tech specs, competitive diligence, leadership memos, or multi-agent evaluation packs for agent-runtime, demo-agent, or proof-agent products.

ae-proof-agent

Read references/RESEARCH-GUARDRAILS.md first.

Then use the bundle in this order:

Read references/COMPETITIVE-DILIGENCE.md.
Use references/PRD.md and references/TECHSPEC.md as the base spec.
Run the prompt chain in prompts/ when generating comparable multi-agent outputs.
Score outputs with templates/SCORECARD.md.
Assemble the final memo with templates/FINAL-REPORT-OUTLINE.md.

Rules:

Separate Verified, Inference, and Unknown.
Do not invent backend details, customer metrics, or infra choices.
Use exact dates for recent releases and product changes.
Prefer primary sources when browsing is required.
Optimize for decision quality, not volume.

Use the prompt chain like this:

prompts/01-DISCOVERY.md for a source-grounded brief
prompts/02-PRD.md for product requirements
prompts/03-TECHSPEC.md for implementation planning
prompts/04-REDTEAM.md for failure analysis
prompts/05-SYNTHESIS.md for the final leadership memo